Gregory A. Roth

The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals.Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Each chapter listed in the Table of Contents (see next page) is a hyperlink to that chapter. The reader clicks the chapter name to access that chapter. Each chapter listed here is a hyperlink. Click on the chapter name to be taken to that chapter. Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together in a single document the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA’s My Life Check - Life’s Simple 7 (Figure1), which include core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure [BP], and glucose control) that contribute to cardiovascular health. The Statistical Update represents …

Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017.The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised.At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases.Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade.Bill & Melinda Gates Foundation.

<h2>Summary</h2><h3>Background</h3> Up-to-date evidence about levels and trends in disease and injury incidence, prevalence, and years lived with disability (YLDs) is an essential input into global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013), we estimated these quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013. <h3>Methods</h3> Estimates were calculated for disease and injury incidence, prevalence, and YLDs using GBD 2010 methods with some important refinements. Results for incidence of acute disorders and prevalence of chronic disorders are new additions to the analysis. Key improvements include expansion to the cause and sequelae list, updated systematic reviews, use of detailed injury codes, improvements to the Bayesian meta-regression method (DisMod-MR), and use of severity splits for various causes. An index of data representativeness, showing data availability, was calculated for each cause and impairment during three periods globally and at the country level for 2013. In total, 35 620 distinct sources of data were used and documented to calculated estimates for 301 diseases and injuries and 2337 sequelae. The comorbidity simulation provides estimates for the number of sequelae, concurrently, by individuals by country, year, age, and sex. Disability weights were updated with the addition of new population-based survey data from four countries. <h3>Findings</h3> Disease and injury were highly prevalent; only a small fraction of individuals had no sequelae. Comorbidity rose substantially with age and in absolute terms from 1990 to 2013. Incidence of acute sequelae were predominantly infectious diseases and short-term injuries, with over 2 billion cases of upper respiratory infections and diarrhoeal disease episodes in 2013, with the notable exception of tooth pain due to permanent caries with more than 200 million incident cases in 2013. Conversely, leading chronic sequelae were largely attributable to non-communicable diseases, with prevalence estimates for asymptomatic permanent caries and tension-type headache of 2·4 billion and 1·6 billion, respectively. The distribution of the number of sequelae in populations varied widely across regions, with an expected relation between age and disease prevalence. YLDs for both sexes increased from 537·6 million in 1990 to 764·8 million in 2013 due to population growth and ageing, whereas the age-standardised rate decreased little from 114·87 per 1000 people to 110·31 per 1000 people between 1990 and 2013. Leading causes of YLDs included low back pain and major depressive disorder among the top ten causes of YLDs in every country. YLD rates per person, by major cause groups, indicated the main drivers of increases were due to musculoskeletal, mental, and substance use disorders, neurological disorders, and chronic respiratory diseases; however HIV/AIDS was a notable driver of increasing YLDs in sub-Saharan Africa. Also, the proportion of disability-adjusted life years due to YLDs increased globally from 21·1% in 1990 to 31·2% in 2013. <h3>Interpretation</h3> Ageing of the world's population is leading to a substantial increase in the numbers of individuals with sequelae of diseases and injuries. Rates of YLDs are declining much more slowly than mortality rates. The non-fatal dimensions of disease and injury will require more and more attention from health systems. The transition to non-fatal outcomes as the dominant source of burden of disease is occurring rapidly outside of sub-Saharan Africa. Our results can guide future health initiatives through examination of epidemiological trends and a better understanding of variation across countries. <h3>Funding</h3> Bill & Melinda Gates Foundation.

Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends.The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specifi c mortality for 249 causes in 195 countries and territories from 1980 to 2015.These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. MethodsWe estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010.Improvements included refi nements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing.We also expanded the database of vital registration, survey, and census data to 14 294 geography-year datapoints.For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality.We used six modelling approaches to assess causespecifi c mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes.We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies.First, we assessed observed and expected levels and trends of cause-specifi c mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility.Second, we examined factors aff ecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality.Finally, we attributed changes in life expectancy to changes in cause of death.We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). FindingsGlobally, life expectancy from birth increased from 61•7 years (95% uncertainty interval 61•4-61•9) in 1980 to 71•8 years (71•5-72•2) in 2015.Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS.At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence.From 2005 to 2015, male life expectancy in Syria dropped by 11•3 years (3•7-17•4), to 62•6 years (56•5-70•2).Total deaths increased by 4•1% (2•6-5•6) from 2005 to 2015, rising to 55•8 million (54•9 million to 56•6 million) in 2015, but age-standardised death rates fell by 17•0% (15•8-18•1) during this time, underscoring changes in population growth and shifts in global age structures.The result was similar for noncommunicable diseases (NCDs), with total deaths from these causes increasing by 14•1% (12•6-16•0) to 39•8 million (39•2 million to 40•5 million) in 2015, whereas age-standardised rates decreased by 13•1% (11•9-14•3).Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias.By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions signifi cantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42•1%, 39•1-44•6), malaria (43•1%, 34•7-51•8), neonatal preterm birth complications (29•8%, 24•8-34•9), and maternal disorders (29•1%, 19•3-37•1).Progress was slower for several causes, such as lower respiratory infections and nutritional defi ciencies, whereas deaths increased for others, including dengue and drug use disorders.Age-standardised death rates due to injuries signifi cantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East.In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000-183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000-532 000), although pathogen-specifi c mortality varied by region.Globally, the eff ects of population growth, ageing, and changes in age-standardised death rates substantially diff ered by cause.Our analyses on the expected associations between cause-specifi c mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI.Country patterns of

Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context.MethodsWe used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI).FindingsBetween 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa.InterpretationDeclines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden.FundingBill & Melinda Gates Foundation.

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Suboptimal diet is an important preventable risk factor for non-communicable diseases (NCDs); however, its impact on the burden of NCDs has not been systematically evaluated. This study aimed to evaluate the consumption of major foods and nutrients across 195 countries and to quantify the impact of their suboptimal intake on NCD mortality and morbidity.By use of a comparative risk assessment approach, we estimated the proportion of disease-specific burden attributable to each dietary risk factor (also referred to as population attributable fraction) among adults aged 25 years or older. The main inputs to this analysis included the intake of each dietary factor, the effect size of the dietary factor on disease endpoint, and the level of intake associated with the lowest risk of mortality. Then, by use of disease-specific population attributable fractions, mortality, and disability-adjusted life-years (DALYs), we calculated the number of deaths and DALYs attributable to diet for each disease outcome.In 2017, 11 million (95% uncertainty interval [UI] 10-12) deaths and 255 million (234-274) DALYs were attributable to dietary risk factors. High intake of sodium (3 million [1-5] deaths and 70 million [34-118] DALYs), low intake of whole grains (3 million [2-4] deaths and 82 million [59-109] DALYs), and low intake of fruits (2 million [1-4] deaths and 65 million [41-92] DALYs) were the leading dietary risk factors for deaths and DALYs globally and in many countries. Dietary data were from mixed sources and were not available for all countries, increasing the statistical uncertainty of our estimates.This study provides a comprehensive picture of the potential impact of suboptimal diet on NCD mortality and morbidity, highlighting the need for improving diet across nations. Our findings will inform implementation of evidence-based dietary interventions and provide a platform for evaluation of their impact on human health annually.Bill & Melinda Gates Foundation.

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders.We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach.Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), Alzheimer's and other dementias (10·4% [9·0-12·1]), and meningitis (7·9% [6·6-10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5-90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8-35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8-17·5] of DALYs are risk attributable).Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies.Bill & Melinda Gates Foundation.

The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. In 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75. CVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.

Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels.We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level.In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]).The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.Bill & Melinda Gates Foundation.

Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are substantial. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic, comparable method of quantifying health loss by disease, age, sex, year, and location to provide information to health systems and policy makers on more than 300 causes of disease and injury, including stroke. The results presented here are the estimates of burden due to overall stroke and ischaemic and haemorrhagic stroke from GBD 2016.We report estimates and corresponding uncertainty intervals (UIs), from 1990 to 2016, for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). DALYs were generated by summing YLLs and YLDs. Cause-specific mortality was estimated using an ensemble modelling process with vital registration and verbal autopsy data as inputs. Non-fatal estimates were generated using Bayesian meta-regression incorporating data from registries, scientific literature, administrative records, and surveys. The Socio-demographic Index (SDI), a summary indicator generated using educational attainment, lagged distributed income, and total fertility rate, was used to group countries into quintiles.In 2016, there were 5·5 million (95% UI 5·3 to 5·7) deaths and 116·4 million (111·4 to 121·4) DALYs due to stroke. The global age-standardised mortality rate decreased by 36·2% (-39·3 to -33·6) from 1990 to 2016, with decreases in all SDI quintiles. Over the same period, the global age-standardised DALY rate declined by 34·2% (-37·2 to -31·5), also with decreases in all SDI quintiles. There were 13·7 million (12·7 to 14·7) new stroke cases in 2016. Global age-standardised incidence declined by 8·1% (-10·7 to -5·5) from 1990 to 2016 and decreased in all SDI quintiles except the middle SDI group. There were 80·1 million (74·1 to 86·3) prevalent cases of stroke globally in 2016; 41·1 million (38·0 to 44·3) in women and 39·0 million (36·1 to 42·1) in men.Although age-standardised mortality rates have decreased sharply from 1990 to 2016, the decrease in age-standardised incidence has been less steep, indicating that the burden of stroke is likely to remain high. Planned updates to future GBD iterations include generating separate estimates for subarachnoid haemorrhage and intracerebral haemorrhage, generating estimates of transient ischaemic attack, and including atrial fibrillation as a risk factor.Bill & Melinda Gates Foundation.

Elevated systolic blood (SBP) pressure is a leading global health risk. Quantifying the levels of SBP is important to guide prevention policies and interventions.To estimate the association between SBP of at least 110 to 115 mm Hg and SBP of 140 mm Hg or higher and the burden of different causes of death and disability by age and sex for 195 countries and territories, 1990-2015.A comparative risk assessment of health loss related to SBP. Estimated distribution of SBP was based on 844 studies from 154 countries (published 1980-2015) of 8.69 million participants. Spatiotemporal Gaussian process regression was used to generate estimates of mean SBP and adjusted variance for each age, sex, country, and year. Diseases with sufficient evidence for a causal relationship with high SBP (eg, ischemic heart disease, ischemic stroke, and hemorrhagic stroke) were included in the primary analysis.Mean SBP level, cause-specific deaths, and health burden related to SBP (≥110-115 mm Hg and also ≥140 mm Hg) by age, sex, country, and year.Between 1990-2015, the rate of SBP of at least 110 to 115 mm Hg increased from 73 119 (95% uncertainty interval [UI], 67 949-78 241) to 81 373 (95% UI, 76 814-85 770) per 100 000, and SBP of 140 mm Hg or higher increased from 17 307 (95% UI, 17 117-17 492) to 20 526 (95% UI, 20 283-20 746) per 100 000. The estimated annual death rate per 100 000 associated with SBP of at least 110 to 115 mm Hg increased from 135.6 (95% UI, 122.4-148.1) to 145.2 (95% UI 130.3-159.9) and the rate for SBP of 140 mm Hg or higher increased from 97.9 (95% UI, 87.5-108.1) to 106.3 (95% UI, 94.6-118.1). For loss of DALYs associated with systolic blood pressure of 140 mm Hg or higher, the loss increased from 95.9 million (95% uncertainty interval [UI], 87.0-104.9 million) to 143.0 million (95% UI, 130.2-157.0 million) [corrected], and for SBP of 140 mm Hg or higher, the loss increased from 5.2 million (95% UI, 4.6-5.7 million) to 7.8 million (95% UI, 7.0-8.7 million). The largest numbers of SBP-related deaths were caused by ischemic heart disease (4.9 million [95% UI, 4.0-5.7 million]; 54.5%), hemorrhagic stroke (2.0 million [95% UI, 1.6-2.3 million]; 58.3%), and ischemic stroke (1.5 million [95% UI, 1.2-1.8 million]; 50.0%). In 2015, China, India, Russia, Indonesia, and the United States accounted for more than half of the global DALYs related to SBP of at least 110 to 115 mm Hg.In international surveys, although there is uncertainty in some estimates, the rate of elevated SBP (≥110-115 and ≥140 mm Hg) increased substantially between 1990 and 2015, and DALYs and deaths associated with elevated SBP also increased. Projections based on this sample suggest that in 2015, an estimated 3.5 billion adults had SBP of at least 110 to 115 mm Hg and 874 million adults had SBP of 140 mm Hg or higher.

The contribution of modifiable risk factors to the increasing global and regional burden of stroke is unclear, but knowledge about this contribution is crucial for informing stroke prevention strategies. We used data from the Global Burden of Disease Study 2013 (GBD 2013) to estimate the population-attributable fraction (PAF) of stroke-related disability-adjusted life-years (DALYs) associated with potentially modifiable environmental, occupational, behavioural, physiological, and metabolic risk factors in different age and sex groups worldwide and in high-income countries and low-income and middle-income countries, from 1990 to 2013.We used data on stroke-related DALYs, risk factors, and PAF from the GBD 2013 Study to estimate the burden of stroke by age and sex (with corresponding 95% uncertainty intervals [UI]) in 188 countries, as measured with stroke-related DALYs in 1990 and 2013. We evaluated attributable DALYs for 17 risk factors (air pollution and environmental, dietary, physical activity, tobacco smoke, and physiological) and six clusters of risk factors by use of three inputs: risk factor exposure, relative risks, and the theoretical minimum risk exposure level. For most risk factors, we synthesised data for exposure with a Bayesian meta-regression method (DisMod-MR) or spatial-temporal Gaussian process regression. We based relative risks on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks, such as high body-mass index (BMI), through other risks, such as high systolic blood pressure (SBP) and high total cholesterol.Globally, 90·5% (95% UI 88·5-92·2) of the stroke burden (as measured in DALYs) was attributable to the modifiable risk factors analysed, including 74·2% (95% UI 70·7-76·7) due to behavioural factors (smoking, poor diet, and low physical activity). Clusters of metabolic factors (high SBP, high BMI, high fasting plasma glucose, high total cholesterol, and low glomerular filtration rate; 72·4%, 95% UI 70·2-73·5) and environmental factors (air pollution and lead exposure; 33·4%, 95% UI 32·4-34·3) were the second and third largest contributors to DALYs. Globally, 29·2% (95% UI 28·2-29·6) of the burden of stroke was attributed to air pollution. Although globally there were no significant differences between sexes in the proportion of stroke burden due to behavioural, environmental, and metabolic risk clusters, in the low-income and middle-income countries, the PAF of behavioural risk clusters in males was greater than in females. The PAF of all risk factors increased from 1990 to 2013 (except for second-hand smoking and household air pollution from solid fuels) and varied significantly between countries.Our results suggest that more than 90% of the stroke burden is attributable to modifiable risk factors, and achieving control of behavioural and metabolic risk factors could avert more than three-quarters of the global stroke burden. Air pollution has emerged as a significant contributor to global stroke burden, especially in low-income and middle-income countries, and therefore reducing exposure to air pollution should be one of the main priorities to reduce stroke burden in these countries.Bill & Melinda Gates Foundation, American Heart Association, US National Heart, Lung, and Blood Institute, Columbia University, Health Research Council of New Zealand, Brain Research New Zealand Centre of Research Excellence, and National Science Challenge, Ministry of Business, Innovation and Employment of New Zealand.

<h3>Introduction</h3> Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state. <h3>Objective</h3> To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016. <h3>Design and Setting</h3> A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year. <h3>Main Outcomes and Measures</h3> Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed. <h3>Results</h3> Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states). <h3>Conclusions and Relevance</h3> There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Methods: The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year’s worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year’s edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. Results: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. Conclusions: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Global stroke epidemiology is changing rapidly. Although age-standardized rates of stroke mortality have decreased worldwide in the past 2 decades, the absolute numbers of people who have a stroke every year, and live with the consequences of stroke or die from their stroke, are increasing. Regular updates on the current level of stroke burden are important for advancing our knowledge on stroke epidemiology and facilitate organization and planning of evidence-based stroke care.This study aims to estimate incidence, prevalence, mortality, disability-adjusted life years (DALYs) and years lived with disability (YLDs) and their trends for ischemic stroke (IS) and hemorrhagic stroke (HS) for 188 countries from 1990 to 2013.Stroke incidence, prevalence, mortality, DALYs and YLDs were estimated using all available data on mortality and stroke incidence, prevalence and excess mortality. Statistical models and country-level covariate data were employed, and all rates were age-standardized to a global population. All estimates were produced with 95% uncertainty intervals (UIs).In 2013, there were globally almost 25.7 million stroke survivors (71% with IS), 6.5 million deaths from stroke (51% died from IS), 113 million DALYs due to stroke (58% due to IS) and 10.3 million new strokes (67% IS). Over the 1990-2013 period, there was a significant increase in the absolute number of DALYs due to IS, and of deaths from IS and HS, survivors and incident events for both IS and HS. The preponderance of the burden of stroke continued to reside in developing countries, comprising 75.2% of deaths from stroke and 81.0% of stroke-related DALYs. Globally, the proportional contribution of stroke-related DALYs and deaths due to stroke compared to all diseases increased from 1990 (3.54% (95% UI 3.11-4.00) and 9.66% (95% UI 8.47-10.70), respectively) to 2013 (4.62% (95% UI 4.01-5.30) and 11.75% (95% UI 10.45-13.31), respectively), but there was a diverging trend in developed and developing countries with a significant increase in DALYs and deaths in developing countries, and no measurable change in the proportional contribution of DALYs and deaths from stroke in developed countries.Global stroke burden continues to increase globally. More efficient stroke prevention and management strategies are urgently needed to halt and eventually reverse the stroke pandemic, while universal access to organized stroke services should be a priority. © 2015 S. Karger AG, Basel.

Global deaths from cardiovascular disease are increasing as a result of population growth, the aging of populations, and epidemiologic changes in disease. Disentangling the effects of these three drivers on trends in mortality is important for planning the future of the health care system and benchmarking progress toward the reduction of cardiovascular disease.We used mortality data from the Global Burden of Disease Study 2013, which includes data on 188 countries grouped into 21 world regions. We developed three counterfactual scenarios to represent the principal drivers of change in cardiovascular deaths (population growth alone, population growth and aging, and epidemiologic changes in disease) from 1990 to 2013. Secular trends and correlations with changes in national income were examined.Global deaths from cardiovascular disease increased by 41% between 1990 and 2013 despite a 39% decrease in age-specific death rates; this increase was driven by a 55% increase in mortality due to the aging of populations and a 25% increase due to population growth. The relative contributions of these drivers varied by region; only in Central Europe and Western Europe did the annual number of deaths from cardiovascular disease actually decline. Change in gross domestic product per capita was correlated with change in age-specific death rates only among upper-middle income countries, and this correlation was weak; there was no significant correlation elsewhere.The aging and growth of the population resulted in an increase in global cardiovascular deaths between 1990 and 2013, despite a decrease in age-specific death rates in most regions. Only Central and Western Europe had gains in cardiovascular health that were sufficient to offset these demographic forces. (Funded by the Bill and Melinda Gates Foundation and others.).

Rheumatic heart disease remains an important preventable cause of cardiovascular death and disability, particularly in low-income and middle-income countries. We estimated global, regional, and national trends in the prevalence of and mortality due to rheumatic heart disease as part of the 2015 Global Burden of Disease study.

There is a global commitment to reduce premature cardiovascular diseases (CVDs) 25% by 2025. CVD mortality rates have declined dramatically over the past 2 decades, yet the number of life years lost to premature CVD deaths is increasing in low- and middle-income regions. Ischemic heart disease and stroke remain the leading causes of premature death in the world; however, there is wide regional variation in these patterns. Some regions, led by Central Asia, face particularly high rates of premature death from ischemic heart disease. Sub-Saharan Africa and Asia suffer disproportionately from death from stroke. The purpose of the present report is to (1) describe global trends and regional variation in premature mortality attributable to CVD, (2) review past and current approaches to the measurement of these trends, and (3) describe the limitations of existing models of epidemiological transitions for explaining the observed distribution and trends of CVD mortality. We describe extensive variation both between and within regions even while CVD remains a dominant cause of death. Policies and health interventions will need to be tailored and scaled for a broad range of local conditions to achieve global goals for the improvement of cardiovascular health.

<h2>Summary</h2><h3>Background</h3> 18% of the world's population lives in India, and many states of India have populations similar to those of large countries. Action to effectively improve population health in India requires availability of reliable and comprehensive state-level estimates of disease burden and risk factors over time. Such comprehensive estimates have not been available so far for all major diseases and risk factors. Thus, we aimed to estimate the disease burden and risk factors in every state of India as part of the Global Burden of Disease (GBD) Study 2016. <h3>Methods</h3> Using all available data sources, the India State-Level Disease Burden Initiative estimated burden (metrics were deaths, disability-adjusted life-years [DALYs], prevalence, incidence, and life expectancy) from 333 disease conditions and injuries and 84 risk factors for each state of India from 1990 to 2016 as part of GBD 2016. We divided the states of India into four epidemiological transition level (ETL) groups on the basis of the ratio of DALYs from communicable, maternal, neonatal, and nutritional diseases (CMNNDs) to those from non-communicable diseases (NCDs) and injuries combined in 2016. We assessed variations in the burden of diseases and risk factors between ETL state groups and between states to inform a more specific health-system response in the states and for India as a whole. <h3>Findings</h3> DALYs due to NCDs and injuries exceeded those due to CMNNDs in 2003 for India, but this transition had a range of 24 years for the four ETL state groups. The age-standardised DALY rate dropped by 36·2% in India from 1990 to 2016. The numbers of DALYs and DALY rates dropped substantially for most CMNNDs between 1990 and 2016 across all ETL groups, but rates of reduction for CMNNDs were slowest in the low ETL state group. By contrast, numbers of DALYs increased substantially for NCDs in all ETL state groups, and increased significantly for injuries in all ETL state groups except the highest. The all-age prevalence of most leading NCDs increased substantially in India from 1990 to 2016, and a modest decrease was recorded in the age-standardised NCD DALY rates. The major risk factors for NCDs, including high systolic blood pressure, high fasting plasma glucose, high total cholesterol, and high body-mass index, increased from 1990 to 2016, with generally higher levels in higher ETL states; ambient air pollution also increased and was highest in the low ETL group. The incidence rate of the leading causes of injuries also increased from 1990 to 2016. The five leading individual causes of DALYs in India in 2016 were ischaemic heart disease, chronic obstructive pulmonary disease, diarrhoeal diseases, lower respiratory infections, and cerebrovascular disease; and the five leading risk factors for DALYs in 2016 were child and maternal malnutrition, air pollution, dietary risks, high systolic blood pressure, and high fasting plasma glucose. Behind these broad trends many variations existed between the ETL state groups and between states within the ETL groups. Of the ten leading causes of disease burden in India in 2016, five causes had at least a five-times difference between the highest and lowest state-specific DALY rates for individual causes. <h3>Interpretation</h3> Per capita disease burden measured as DALY rate has dropped by about a third in India over the past 26 years. However, the magnitude and causes of disease burden and the risk factors vary greatly between the states. The change to dominance of NCDs and injuries over CMNNDs occurred about a quarter century apart in the four ETL state groups. Nevertheless, the burden of some of the leading CMNNDs continues to be very high, especially in the lowest ETL states. This comprehensive mapping of inequalities in disease burden and its causes across the states of India can be a crucial input for more specific health planning for each state as is envisioned by the Government of India's premier think tank, the National Institution for Transforming India, and the National Health Policy 2017. <h3>Funding</h3> Bill & Melinda Gates Foundation; Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India; and World Bank

![Figure][1] ![Figure][1] ![Figure][1] Cardiovascular diseases (CVDs), consisting of ischemic heart disease, stroke, heart failure, peripheral arterial disease, and a number of other cardiac and vascular conditions, constitute the leading cause of global mortality and are a

To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions.In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance.Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629-0·741) to 0·833 (0·783-0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt.We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide.World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.

Background— Ischemic heart disease (IHD) burden consists of years of life lost from IHD deaths and years of disability lived with 3 nonfatal IHD sequelae: nonfatal acute myocardial infarction, angina pectoris, and ischemic heart failure. Our aim was to estimate the global and regional burden of IHD in 1990 and 2010. Methods and Results— Global and regional estimates of acute myocardial infarction incidence and angina and heart failure prevalence by age, sex, and world region in 1990 and 2010 were estimated based on data from a systematic review and nonlinear mixed-effects meta-regression methods. Age-standardized acute myocardial infarction incidence and angina prevalence decreased globally between 1990 and 2010; ischemic heart failure prevalence increased slightly. The global burden of IHD increased by 29 million disability-adjusted life-years (29% increase) between 1990 and 2010. About 32.4% of the growth in global IHD disability-adjusted life-years between 1990 and 2010 was attributable to aging of the world population, 22.1% was attributable to population growth, and total disability-adjusted life-years were attenuated by a 25.3% decrease in per capita IHD burden (decreased rate). The number of people living with nonfatal IHD increased more than the number of IHD deaths since 1990, but &gt;90% of IHD disability-adjusted life-years in 2010 were attributable to IHD deaths. Conclusions— Globally, age-standardized acute myocardial infarction incidence and angina prevalence have decreased, and ischemic heart failure prevalence has increased since 1990. Despite decreased age-standardized fatal and nonfatal IHD in most regions since 1990, population growth and aging led to a higher global burden of IHD in 2010.

The literature focuses on mortality among children younger than 5 years. Comparable information on nonfatal health outcomes among these children and the fatal and nonfatal burden of diseases and injuries among older children and adolescents is scarce.To determine levels and trends in the fatal and nonfatal burden of diseases and injuries among younger children (aged <5 years), older children (aged 5-9 years), and adolescents (aged 10-19 years) between 1990 and 2013 in 188 countries from the Global Burden of Disease (GBD) 2013 study.Data from vital registration, verbal autopsy studies, maternal and child death surveillance, and other sources covering 14,244 site-years (ie, years of cause of death data by geography) from 1980 through 2013 were used to estimate cause-specific mortality. Data from 35,620 epidemiological sources were used to estimate the prevalence of the diseases and sequelae in the GBD 2013 study. Cause-specific mortality for most causes was estimated using the Cause of Death Ensemble Model strategy. For some infectious diseases (eg, HIV infection/AIDS, measles, hepatitis B) where the disease process is complex or the cause of death data were insufficient or unavailable, we used natural history models. For most nonfatal health outcomes, DisMod-MR 2.0, a Bayesian metaregression tool, was used to meta-analyze the epidemiological data to generate prevalence estimates.Of the 7.7 (95% uncertainty interval [UI], 7.4-8.1) million deaths among children and adolescents globally in 2013, 6.28 million occurred among younger children, 0.48 million among older children, and 0.97 million among adolescents. In 2013, the leading causes of death were lower respiratory tract infections among younger children (905.059 deaths; 95% UI, 810,304-998,125), diarrheal diseases among older children (38,325 deaths; 95% UI, 30,365-47,678), and road injuries among adolescents (115,186 deaths; 95% UI, 105,185-124,870). Iron deficiency anemia was the leading cause of years lived with disability among children and adolescents, affecting 619 (95% UI, 618-621) million in 2013. Large between-country variations exist in mortality from leading causes among children and adolescents. Countries with rapid declines in all-cause mortality between 1990 and 2013 also experienced large declines in most leading causes of death, whereas countries with the slowest declines had stagnant or increasing trends in the leading causes of death. In 2013, Nigeria had a 12% global share of deaths from lower respiratory tract infections and a 38% global share of deaths from malaria. India had 33% of the world's deaths from neonatal encephalopathy. Half of the world's diarrheal deaths among children and adolescents occurred in just 5 countries: India, Democratic Republic of the Congo, Pakistan, Nigeria, and Ethiopia.Understanding the levels and trends of the leading causes of death and disability among children and adolescents is critical to guide investment and inform policies. Monitoring these trends over time is also key to understanding where interventions are having an impact. Proven interventions exist to prevent or treat the leading causes of unnecessary death and disability among children and adolescents. The findings presented here show that these are underused and give guidance to policy makers in countries where more attention is needed.

Ischemic heart disease (IHD) is the leading cause of death worldwide. The Global Burden of Diseases, Risk Factors and Injuries 2010 Study estimated global and regional IHD mortality from 1980 to 2010.Sources for IHD mortality estimates were country-level surveillance, verbal autopsy, and vital registration data. Regional income, metabolic and nutritional risk factors, and other covariates were estimated from surveys and a systematic review. An estimation and validation process led to an ensemble model of IHD mortality for 21 world regions. Globally, age-standardized IHD mortality has declined since the 1980s, and high-income regions (especially Australasia, Western Europe, and North America) experienced the most remarkable declines. Age-standardized IHD mortality increased in former Soviet Union countries and South Asia in the 1990s and attenuated after 2000. In 2010, Eastern Europe and Central Asia had the highest age-standardized IHD mortality rates. More IHD deaths occurred in South Asia in 2010 than in any other region. On average, IHD deaths in South Asia, North Africa and the Middle East, and sub-Saharan Africa occurred at younger ages in comparison with most other regions.In most world regions, particularly in high-income regions, age-standardized IHD mortality rates have declined significantly since 1980. High age-standardized IHD mortality in Eastern Europe, Central Asia, and South Asia point to the need to prevent and control established risk factors in those regions and to research the unique behavioral and environmental determinants of higher IHD mortality.

Prediction of stroke impact provides essential information for healthcare planning and priority setting. We aim to estimate 30-year projections of stroke epidemiology in the European Union using multiple modeling approaches.Data on stroke incidence, prevalence, deaths, and disability-adjusted life years in the European Union between 1990 and 2017 were obtained from the global burden of disease study. Their trends over time were modeled using 3 modeling strategies: linear, Poisson, and exponential regressions-adjusted for the gross domestic product per capita, which reflects the impact of economic development on health status. We used the Akaike information criterion for model selection. The 30-year projections up to 2047 were estimated using the best fitting models, with inputs on population projections from the United Nations and gross domestic product per capita prospects from the World Bank. The technique was applied separately by age-sex-country groups for each stroke measure.In 2017, there were 1.12 million incident strokes in the European Union, 9.53 million stroke survivors, 0.46 million deaths, and 7.06 million disability-adjusted life years lost because of stroke. By 2047, we estimated an additional 40 000 incident strokes (+3%) and 2.58 million prevalent cases (+27%). Conversely, 80 000 fewer deaths (-17%) and 2.31 million fewer disability-adjusted life years lost (-33%) are projected. The largest increase in the age-adjusted incidence and prevalence rates are expected in Lithuania (average annual percentage change, 0.48% and 0.7% respectively), and the greatest reductions in Portugal (-1.57% and -1.3%). Average annual percentage change in mortality rates will range from -2.86% (Estonia) to -0.08% (Lithuania), and disability-adjusted life years' from -2.77% (Estonia) to -0.23% (Romania).The number of people living with stroke is estimated to increase by 27% between 2017 and 2047 in the European Union, mainly because of population ageing and improved survival rates. Variations are expected to persist between countries showing opportunities for improvements in prevention and case management particularly in Eastern Europe.

Previous congenital heart disease estimates came from few data sources, were geographically narrow, and did not evaluate congenital heart disease throughout the life course. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017, this study aimed to provide comprehensive estimates of congenital heart disease mortality, prevalence, and disability by age for 195 countries and territories from 1990 to 2017.Mortality estimates were generated for aggregate congenital heart disease and non-fatal estimates for five subcategories (single ventricle and single ventricle pathway congenital heart anomalies; severe congenital heart anomalies excluding single ventricle heart defects; critical malformations of great vessels, congenital valvular heart disease, and patent ductus arteriosus; ventricular septal defect and atrial septal defect; and other congenital heart anomalies), for 1990 through to 2017. All available global data were systematically analysed to generate congenital heart disease mortality estimates (using Cause of Death Ensemble modelling) and prevalence estimates (DisMod-MR 2·1). Systematic literature reviews of all types of congenital anomalies to capture information on prevalence, associated mortality, and long-term health outcomes on congenital heart disease informed subsequent disability estimates.Congenital heart disease caused 261 247 deaths (95% uncertainty interval 216 567-308 159) globally in 2017, a 34·5% decline from 1990, with 180 624 deaths (146 825-214 178) being among infants (aged <1 years). Congenital heart disease mortality rates declined with increasing Socio-demographic Index (SDI); most deaths occurred in countries in the low and low-middle SDI quintiles. The prevalence rates of congenital heart disease at birth changed little temporally or by SDI, resulting in 11 998 283 (10 958 658-13 123 888) people living with congenital heart disease globally, an 18·7% increase from 1990 to 2017, and causing a total of 589 479 (287 200-973 359) years lived with disability.Congenital heart disease is a large, rapidly emerging global problem in child health. Without the ability to substantially alter the prevalence of congenital heart disease, interventions and resources must be used to improve survival and quality of life. Our findings highlight the large global inequities in congenital heart disease and can serve as a starting point for policy changes to improve screening, treatment, and data collection.Bill & Melinda Gates Foundation.

Global Heart is the official and primary publication of the World Heart Federation, offering a platform for the dissemination of knowledge on research, developments, trends, solutions and public health programmes in the area of cardiovascular disease. Global Heart welcomes research results, points of view and educational material on the prevention, treatment and control of cardiovascular disease with a special focus on low and middle-income countries which are facing the brunt of epidemiological transition.Global Heart strongly encourages authors to adhere to CONSORT, STROBE, STARD, and PRISMA guidelines for reporting of clinical trials, observational studies, diagnostic test accuracy papers, and systematic reviews or meta-analyses. Authors are required for submission to download and complete the appropriate Equator Network checklist: http://www.equator-network.org/.

The burden of cardiovascular diseases is increasing in India, but a systematic understanding of its distribution and time trends across all the states is not readily available. In this report, we present a detailed analysis of how the patterns of cardiovascular diseases and major risk factors have changed across the states of India between 1990 and 2016.We analysed the prevalence and disability-adjusted life-years (DALYs) due to cardiovascular diseases and the major component causes in the states of India from 1990 to 2016, using all accessible data sources as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016. We placed states into four groups based on epidemiological transition level (ETL), defined using the ratio of DALYs from communicable diseases to those from non-communicable diseases and injuries combined, with a low ratio denoting high ETL and vice versa. We assessed heterogeneity in the burden of major cardiovascular diseases across the states of India, and the contribution of risk factors to cardiovascular diseases. We calculated 95% uncertainty intervals (UIs) for the point estimates.Overall, cardiovascular diseases contributed 28·1% (95% UI 26·5-29·1) of the total deaths and 14·1% (12·9-15·3) of the total DALYs in India in 2016, compared with 15·2% (13·7-16·2) and 6·9% (6·3-7·4), respectively, in 1990. In 2016, there was a nine times difference between states in the DALY rate for ischaemic heart disease, a six times difference for stroke, and a four times difference for rheumatic heart disease. 23·8 million (95% UI 22·6-25·0) prevalent cases of ischaemic heart disease were estimated in India in 2016, and 6·5 million (6·3-6·8) prevalent cases of stroke, a 2·3 times increase in both disorders from 1990. The age-standardised prevalence of both ischaemic heart disease and stroke increased in all ETL state groups between 1990 and 2016, whereas that of rheumatic heart disease decreased; the increase for ischaemic heart disease was highest in the low ETL state group. 53·4% (95% UI 52·6-54·6) of crude deaths due to cardiovascular diseases in India in 2016 were among people younger than 70 years, with a higher proportion in the low ETL state group. The leading overlapping risk factors for cardiovascular diseases in 2016 included dietary risks (56·4% [95% CI 48·5-63·9] of cardiovascular disease DALYs), high systolic blood pressure (54·6% [49·0-59·8]), air pollution (31·1% [29·0-33·4]), high total cholesterol (29·4% [24·3-34·8]), tobacco use (18·9% [16·6-21·3]), high fasting plasma glucose (16·7% [11·4-23·5]), and high body-mass index (14·7% [8·3-22·0]). The prevalence of high systolic blood pressure, high total cholesterol, and high fasting plasma glucose increased generally across all ETL state groups from 1990 to 2016, but this increase was variable across the states; the prevalence of smoking decreased during this period in all ETL state groups.The burden from the leading cardiovascular diseases in India-ischaemic heart disease and stroke-varies widely between the states. Their increasing prevalence and that of several major risk factors in every part of India, especially the highest increase in the prevalence of ischaemic heart disease in the less developed low ETL states, indicates the need for urgent policy and health system response appropriate for the situation in each state.Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Accurate and up-to-date estimates on incidence, prevalence, mortality, and disability-adjusted life-years (burden) of neurological disorders are the backbone of evidence-based health care planning and resource allocation for these disorders. It appears that no such estimates have been reported at the state level for the US.To present burden estimates of major neurological disorders in the US states by age and sex from 1990 to 2017.This is a systematic analysis of the Global Burden of Disease (GBD) 2017 study. Data on incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of major neurological disorders were derived from the GBD 2017 study of the 48 contiguous US states, Alaska, and Hawaii. Fourteen major neurological disorders were analyzed: stroke, Alzheimer disease and other dementias, Parkinson disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, traumatic brain injury, spinal cord injuries, brain and other nervous system cancers, meningitis, encephalitis, and tetanus.Any of the 14 listed neurological diseases.Absolute numbers in detail by age and sex and age-standardized rates (with 95% uncertainty intervals) were calculated.The 3 most burdensome neurological disorders in the US in terms of absolute number of DALYs were stroke (3.58 [95% uncertainty interval [UI], 3.25-3.92] million DALYs), Alzheimer disease and other dementias (2.55 [95% UI, 2.43-2.68] million DALYs), and migraine (2.40 [95% UI, 1.53-3.44] million DALYs). The burden of almost all neurological disorders (in terms of absolute number of incident, prevalent, and fatal cases, as well as DALYs) increased from 1990 to 2017, largely because of the aging of the population. Exceptions for this trend included traumatic brain injury incidence (-29.1% [95% UI, -32.4% to -25.8%]); spinal cord injury prevalence (-38.5% [95% UI, -43.1% to -34.0%]); meningitis prevalence (-44.8% [95% UI, -47.3% to -42.3%]), deaths (-64.4% [95% UI, -67.7% to -50.3%]), and DALYs (-66.9% [95% UI, -70.1% to -55.9%]); and encephalitis DALYs (-25.8% [95% UI, -30.7% to -5.8%]). The different metrics of age-standardized rates varied between the US states from a 1.2-fold difference for tension-type headache to 7.5-fold for tetanus; southeastern states and Arkansas had a relatively higher burden for stroke, while northern states had a relatively higher burden of multiple sclerosis and eastern states had higher rates of Parkinson disease, idiopathic epilepsy, migraine and tension-type headache, and meningitis, encephalitis, and tetanus.There is a large and increasing burden of noncommunicable neurological disorders in the US, with up to a 5-fold variation in the burden of and trends in particular neurological disorders across the US states. The information reported in this article can be used by health care professionals and policy makers at the national and state levels to advance their health care planning and resource allocation to prevent and reduce the burden of neurological disorders.

<h3>Importance</h3> Cardiovascular disease (CVD) is the leading cause of death in the United States, but regional variation within the United States is large. Comparable and consistent state-level measures of total CVD burden and risk factors have not been produced previously. <h3>Objective</h3> To quantify and describe levels and trends of lost health due to CVD within the United States from 1990 to 2016 as well as risk factors driving these changes. <h3>Design, Setting, and Participants</h3> Using the Global Burden of Disease methodology, cardiovascular disease mortality, nonfatal health outcomes, and associated risk factors were analyzed by age group, sex, and year from 1990 to 2016 for all residents in the United States using standardized approaches for data processing and statistical modeling. Burden of disease was estimated for 10 groupings of CVD, and comparative risk analysis was performed. Data were analyzed from August 2016 to July 2017. <h3>Exposures</h3> Residing in the United States. <h3>Main Outcomes and Measures</h3> Cardiovascular disease disability-adjusted life-years (DALYs). <h3>Results</h3> Between 1990 and 2016, age-standardized CVD DALYs for all states decreased. Several states had large rises in their relative rank ordering for total CVD DALYs among states, including Arkansas, Oklahoma, Alabama, Kentucky, Missouri, Indiana, Kansas, Alaska, and Iowa. The rate of decline varied widely across states, and CVD burden increased for a small number of states in the most recent years. Cardiovascular disease DALYs remained twice as large among men compared with women. Ischemic heart disease was the leading cause of CVD DALYs in all states, but the second most common varied by state. Trends were driven by 12 groups of risk factors, with the largest attributable CVD burden due to dietary risk exposures followed by high systolic blood pressure, high body mass index, high total cholesterol level, high fasting plasma glucose level, tobacco smoking, and low levels of physical activity. Increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors. <h3>Conclusions and Relevance</h3> Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden. Differences in CVD burden are largely attributable to modifiable risk exposures.

Recent evidence suggests that stroke is increasing as a cause of morbidity and mortality in younger adults, where it carries particular significance for working individuals. Accurate and up-to-date estimates of stroke burden are important for planning stroke prevention and management in younger adults.This study aims to estimate prevalence, mortality and disability-adjusted life years (DALYs) and their trends for total, ischemic stroke (IS) and hemorrhagic stroke (HS) in the world for 1990-2013 in adults aged 20-64 years.Stroke prevalence, mortality and DALYs were estimated using the Global Burden of Disease (GBD) 2013 methods. All available data on rates of stroke incidence, excess mortality, prevalence and death were collected. Statistical models were used along with country-level covariates to estimate country-specific stroke burden. Stroke-specific disability weights were used to compute years lived with disability and DALYs. Means and 95% uncertainty intervals (UIs) were calculated for prevalence, mortality and DALYs. The median of the percent change and 95% UI were determined for the period from 1990 to 2013.In 2013, in younger adults aged 20-64 years, the global prevalence of HS was 3,725,085 cases (95% UI 3,548,098-3,871,018) and IS was 7,258,216 cases (95% UI 6,996,272-7,569,403). Globally, between 1990 and 2013, there were significant increases in absolute numbers and prevalence rates of both HS and IS for younger adults. There were 1,483,707 (95% UI 1,340,579-1,658,929) stroke deaths globally among younger adults but the number of deaths from HS (1,047,735 (95% UI 945,087-1,184,192)) was significantly higher than the number of deaths from IS (435,972 (95% UI 354,018-504,656)). There was a 20.1% (95% UI -23.6 to -10.3) decline in the number of total stroke deaths among younger adults in developed countries but a 36.7% (95% UI 26.3-48.5) increase in developing countries. Death rates for all strokes among younger adults declined significantly in developing countries from 47 (95% UI 42.6-51.7) in 1990 to 39 (95% UI 35.0-43.8) in 2013. Death rates for all strokes among younger adults also declined significantly in developed countries from 33.3 (95% UI 29.8-37.0) in 1990 to 23.5 (95% UI 21.1-26.9) in 2013. A significant decrease in HS death rates for younger adults was seen only in developed countries between 1990 and 2013 (19.8 (95% UI 16.9-22.6) and 13.7 (95% UI 12.1-15.9)) per 100,000). No significant change was detected in IS death rates among younger adults. The total DALYs from all strokes in those aged 20-64 years was 51,429,440 (95% UI 46,561,382-57,320,085). Globally, there was a 24.4% (95% UI 16.6-33.8) increase in total DALY numbers for this age group, with a 20% (95% UI 11.7-31.1) and 37.3% (95% UI 23.4-52.2) increase in HS and IS numbers, respectively.Between 1990 and 2013, there were significant increases in prevalent cases, total deaths and DALYs due to HS and IS in younger adults aged 20-64 years. Death and DALY rates declined in both developed and developing countries but a significant increase in absolute numbers of stroke deaths among younger adults was detected in developing countries. Most of the burden of stroke was in developing countries. In 2013, the greatest burden of stroke among younger adults was due to HS. While the trends in declining death and DALY rates in developing countries are encouraging, these regions still fall far behind those of developed regions of the world. A more aggressive approach toward primary prevention and increased access to adequate healthcare services for stroke is required to substantially narrow these disparities.

Cardiovascular disease (CVD) has been the leading cause of death in developed countries for most of the last century. Most CVD deaths, however, occur in low- and middle-income, developing countries (LMICs) and there is great concern that CVD mortality and burden are rapidly increasing in LMICs as a result of population growth, ageing and health transitions. In sub-Saharan Africa (SSA), where all countries are part of the LMICs, the pattern, magnitude and trends in CVD deaths remain incompletely understood, which limits formulation of data-driven regional and national health policies.The aim was to estimate the number of deaths, death rates, and their trends for CVD causes of death in SSA, by age and gender for 1990 and 2013.Age- and gender-specific mortality rates for CVD were estimated using the Global Burden of Disease (GBD) 2010 methods with some refinements made by the GBD 2013 study to improve accuracy. Cause of death was estimated as in the GBD 2010 study and updated with a verbal autopsy literature review and cause of death ensemble modelling (CODEm) estimation for causes with sufficient information. For all quantities reported, 95% uncertainty intervals (UIs) were also computed.In 2013, CVD caused nearly one million deaths in SSA, constituting 38.3% of non-communicable disease deaths and 11.3% of deaths from all causes in that region. SSA contributed 5.5% of global CVD deaths. There were more deaths in women (512,269) than in men (445,445) and more deaths from stroke (409,840) than ischaemic heart disease (258,939). Compared to 1990, the number of CVD deaths in SSA increased 81% in 2013. Deaths for all component CVDs also increased, ranging from a 7% increase in incidence of rheumatic heart disease to a 196% increase in atrial fibrillation. The age-standardised mortality rate (per 100,000) in 1990 was 327.6 (CI: 306.2-351.7) and 330.2 (CI: 312.9-360.0) in 2013, representing only a 1% increase in more than two decades.In SSA, CVDs are neither epidemic nor among the leading causes of death. However, a significant increase in the number of deaths from CVDs has occurred since 1990, largely as a result of population growth, ageing and epidemiological transition. Contrary to what has been observed in other world regions, the age-adjusted mortality rate for CVD has not declined. Another important difference in CVD deaths in SSA is the predominance of stroke as the leading cause of death. Attention to aggressive efforts in cardiovascular health promotion and CVD prevention, treatment and control in both men and women are warranted. Additionally, investments to improve directly enumerated epidemiological data for refining the quantitation of risk exposures, death certification and burden of disease assessment will be crucial.

Background: Nonrheumatic valvular diseases are common; however, no studies have estimated their global or national burden. As part of the Global Burden of Disease Study 2017, mortality, prevalence, and disability-adjusted life-years (DALYs) for calcific aortic valve disease (CAVD), degenerative mitral valve disease, and other nonrheumatic valvular diseases were estimated for 195 countries and territories from 1990 to 2017. Methods: Vital registration data, epidemiologic survey data, and administrative hospital data were used to estimate disease burden using the Global Burden of Disease Study modeling framework, which ensures comparability across locations. Geospatial statistical methods were used to estimate disease for all countries, because data on nonrheumatic valvular diseases are extremely limited for some regions of the world, such as Sub-Saharan Africa and South Asia. Results accounted for estimated level of disease severity as well as the estimated availability of valve repair or replacement procedures. DALYs and other measures of health-related burden were generated for both sexes and each 5-year age group, location, and year from 1990 to 2017. Results: Globally, CAVD and degenerative mitral valve disease caused 102 700 (95% uncertainty interval [UI], 82 700–107 900) and 35 700 (95% UI, 30 500–42 500) deaths, and 12.6 million (95% UI, 11.4 million–13.8 million) and 18.1 million (95% UI, 17.6 million–18.6 million) prevalent cases existed in 2017, respectively. A total of 2.5 million (95% UI, 2.3 million–2.8 million) DALYs were estimated as caused by nonrheumatic valvular diseases globally, representing 0.10% (95% UI, 0.09%–0.11%) of total lost health from all diseases in 2017. The number of DALYs increased for CAVD and degenerative mitral valve disease between 1990 and 2017 by 101% (95% UI, 79%–117%) and 35% (95% UI, 23%–47%), respectively. There is significant geographic variation in the prevalence, mortality rate, and overall burden of these diseases, with highest age-standardized DALY rates of CAVD estimated for high-income countries. Conclusions: These global and national estimates demonstrate that CAVD and degenerative mitral valve disease are important causes of disease burden among older adults. Efforts to clarify modifiable risk factors and improve access to valve interventions are necessary if progress is to be made toward reducing, and eventually eliminating, the burden of these highly treatable diseases.

In the United States, regional variation in cardiovascular mortality is well-known but county-level estimates for all major cardiovascular conditions have not been produced.To estimate age-standardized mortality rates from cardiovascular diseases by county.Deidentified death records from the National Center for Health Statistics and population counts from the US Census Bureau, the National Center for Health Statistics, and the Human Mortality Database from 1980 through 2014 were used. Validated small area estimation models were used to estimate county-level mortality rates from all cardiovascular diseases, including ischemic heart disease, cerebrovascular disease, ischemic stroke, hemorrhagic stroke, hypertensive heart disease, cardiomyopathy, atrial fibrillation and flutter, rheumatic heart disease, aortic aneurysm, peripheral arterial disease, endocarditis, and all other cardiovascular diseases combined.The 3110 counties of residence.Age-standardized cardiovascular disease mortality rates by county, year, sex, and cause.From 1980 to 2014, cardiovascular diseases were the leading cause of death in the United States, although the mortality rate declined from 507.4 deaths per 100 000 persons in 1980 to 252.7 deaths per 100 000 persons in 2014, a relative decline of 50.2% (95% uncertainty interval [UI], 49.5%-50.8%). In 2014, cardiovascular diseases accounted for more than 846 000 deaths (95% UI, 827-865 thousand deaths) and 11.7 million years of life lost (95% UI, 11.6-11.9 million years of life lost). The gap in age-standardized cardiovascular disease mortality rates between counties at the 10th and 90th percentile declined 14.6% from 172.1 deaths per 100 000 persons in 1980 to 147.0 deaths per 100 000 persons in 2014 (posterior probability of decline >99.9%). In 2014, the ratio between counties at the 90th and 10th percentile was 2.0 for ischemic heart disease (119.1 vs 235.7 deaths per 100 000 persons) and 1.7 for cerebrovascular disease (40.3 vs 68.1 deaths per 100 000 persons). For other cardiovascular disease causes, the ratio ranged from 1.4 (aortic aneurysm: 3.5 vs 5.1 deaths per 100 000 persons) to 4.2 (hypertensive heart disease: 4.3 vs 17.9 deaths per 100 000 persons). The largest concentration of counties with high cardiovascular disease mortality extended from southeastern Oklahoma along the Mississippi River Valley to eastern Kentucky. Several cardiovascular disease conditions were clustered substantially outside the South, including atrial fibrillation (Northwest), aortic aneurysm (Midwest), and endocarditis (Mountain West and Alaska). The lowest cardiovascular mortality rates were found in the counties surrounding San Francisco, California, central Colorado, northern Nebraska, central Minnesota, northeastern Virginia, and southern Florida.Substantial differences exist between county ischemic heart disease and stroke mortality rates. Smaller differences exist for diseases of the myocardium, atrial fibrillation, aortic and peripheral arterial disease, rheumatic heart disease, and endocarditis.

Heart failure places a significant burden on patients and health systems in high-income countries. However, information about its burden in low- and middle-income countries (LMICs) is scant. We thus set out to review both published and unpublished information on the presentation, causes, management, and outcomes of heart failure in LMICs.Medline, Embase, Global Health Database, and World Health Organization regional databases were searched for studies from LMICs published between 1 January 1995 and 30 March 2014. Additional unpublished data were requested from investigators and international heart failure experts. We identified 42 studies that provided relevant information on acute hospital care (25 LMICs; 232,550 patients) and 11 studies on the management of chronic heart failure in primary care or outpatient settings (14 LMICs; 5,358 patients). The mean age of patients studied ranged from 42 y in Cameroon and Ghana to 75 y in Argentina, and mean age in studies largely correlated with the human development index of the country in which they were conducted (r = 0.71, p<0.001). Overall, ischaemic heart disease was the main reported cause of heart failure in all regions except Africa and the Americas, where hypertension was predominant. Taking both those managed acutely in hospital and those in non-acute outpatient or community settings together, 57% (95% confidence interval [CI]: 49%-64%) of patients were treated with angiotensin-converting enzyme inhibitors, 34% (95% CI: 28%-41%) with beta-blockers, and 32% (95% CI: 25%-39%) with mineralocorticoid receptor antagonists. Mean inpatient stay was 10 d, ranging from 3 d in India to 23 d in China. Acute heart failure accounted for 2.2% (range: 0.3%-7.7%) of total hospital admissions, and mean in-hospital mortality was 8% (95% CI: 6%-10%). There was substantial variation between studies (p<0.001 across all variables), and most data were from urban tertiary referral centres. Only one population-based study assessing incidence and/or prevalence of heart failure was identified.The presentation, underlying causes, management, and outcomes of heart failure vary substantially across LMICs. On average, the use of evidence-based medications tends to be suboptimal. Better strategies for heart failure surveillance and management in LMICs are needed. Please see later in the article for the Editors' Summary.

The burden of premature death and health loss from ESRD is well described. Less is known regarding the burden of cardiovascular disease attributable to reduced GFR. We estimated the prevalence of reduced GFR categories 3, 4, and 5 (not on RRT) for 188 countries at six time points from 1990 to 2013. Relative risks of cardiovascular outcomes by three categories of reduced GFR were calculated by pooled random effects meta-analysis. Results are presented as deaths for outcomes of cardiovascular disease and ESRD and as disability-adjusted life years for outcomes of cardiovascular disease, GFR categories 3, 4, and 5, and ESRD. In 2013, reduced GFR was associated with 4% of deaths worldwide, or 2.2 million deaths (95% uncertainty interval [95% UI], 2.0 to 2.4 million). More than half of these attributable deaths were cardiovascular deaths (1.2 million; 95% UI, 1.1 to 1.4 million), whereas 0.96 million (95% UI, 0.81 to 1.0 million) were ESRD-related deaths. Compared with metabolic risk factors, reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose, and similarly with high total cholesterol as a risk factor for disability-adjusted life years in both developed and developing world regions. In conclusion, by 2013, cardiovascular deaths attributed to reduced GFR outnumbered ESRD deaths throughout the world. Studies are needed to evaluate the benefit of early detection of CKD and treatment to decrease these deaths.

World mapping is an important tool to visualize stroke burden and its trends in various regions and countries.To show geographic patterns of incidence, prevalence, mortality, disability-adjusted life years (DALYs) and years lived with disability (YLDs) and their trends for ischemic stroke and hemorrhagic stroke in the world for 1990-2013.Stroke incidence, prevalence, mortality, DALYs and YLDs were estimated following the general approach of the Global Burden of Disease (GBD) 2010 with several important improvements in methods. Data were updated for mortality (through April 2014) and stroke incidence, prevalence, case fatality and severity through 2013. Death was estimated using an ensemble modeling approach. A new software package, DisMod-MR 2.0, was used as part of a custom modeling process to estimate YLDs. All rates were age-standardized to new GBD estimates of global population. All estimates have been computed with 95% uncertainty intervals.Age-standardized incidence, mortality, prevalence and DALYs/YLDs declined over the period from 1990 to 2013. However, the absolute number of people affected by stroke has substantially increased across all countries in the world over the same time period, suggesting that the global stroke burden continues to increase. There were significant geographical (country and regional) differences in stroke burden in the world, with the majority of the burden borne by low- and middle-income countries.Global burden of stroke has continued to increase in spite of dramatic declines in age-standardized incidence, prevalence, mortality rates and disability. Population growth and aging have played an important role in the observed increase in stroke burden.

Atrial fibrillation is the most common heart rhythm disorder in the world, with major public health impact especially due to increased risk of stroke and hospitalizations. The recently published results on epidemiology of atrial fibrillation from the Global Burden of Diseases, Injuries, and Risk Factors Study confirm the existence of a significant and progressive worldwide increase in the burden of atrial fibrillation. However, there appears to be regional variation in both the burden of atrial fibrillation and availability of epidemiological data regarding this condition. In this review, the authors identify issues that are unique to the developed versus developing regions and outline a road map for possible approaches to surveillance, management, and prevention of atrial fibrillation at the global level.

Drawing on data from the Global Burden of Disease 2013 Study, Feigin and colleagues highlight the increasing global stroke burden, which indicates deficiencies in current primary prevention strategies. The authors present a four-point plan to improve primary stroke prevention, which includes a shift in emphasis from a high-risk approach to a more comprehensive approach that targets people at all levels of cardiovascular disease risk. The increasing global stroke burden strongly suggests that currently implemented primary stroke prevention strategies are not sufficiently effective, and new primary prevention strategies with larger effect sizes are needed. Here, we review the latest stroke epidemiology literature, with an emphasis on the recently published Global Burden of Disease 2013 Study estimates; highlight the problems with current primary stroke and cardiovascular disease (CVD) prevention strategies; and outline new developments in primary stroke and CVD prevention. We also suggest key priorities for the future, including comprehensive prevention strategies that target people at all levels of CVD risk; implementation of an integrated approach to promote healthy behaviours and reduce health disparities; capitalizing on information technology to advance prevention approaches and techniques; and incorporation of culturally appropriate education about healthy lifestyles into standard education curricula early in life. Given the already immense and fast-increasing burden of stroke and other major noncommunicable diseases (NCDs), which threatens worldwide sustainability, governments of all countries should develop and implement an emergency action plan addressing the primary prevention of NCDs, possibly including taxation strategies to tackle unhealthy behaviours that increase the risk of stroke and other NCDs.

This report summarizes the findings of the GBD 2010 (Global Burden of Diseases, Injuries, and Risk Factors) study for hemorrhagic stroke (HS). Multiple databases were searched for relevant studies published between 1990 and 2010. The GBD 2010 study provided standardized estimates of the incidence, mortality, mortality-to-incidence ratios (MIR), and disability-adjusted life years (DALY) lost for HS (including intracerebral hemorrhage and subarachnoid hemorrhage) by age, sex, and income level (high-income countries [HIC]; low- and middle-income countries [LMIC]) for 21 GBD 2010 regions in 1990, 2005, and 2010. In 2010, there were 5.3 million cases of HS and over 3.0 million deaths due to HS. There was a 47% increase worldwide in the absolute number of HS cases. The largest proportion of HS incident cases (80%) and deaths (63%) occurred in LMIC countries. There were 62.8 million DALY lost (86% in LMIC) due to HS. The overall age-standardized incidence rate of HS per 100,000 person-years in 2010 was 48.41 (95% confidence interval [CI]: 45.44 to 52.13) in HIC and 99.43 (95% CI: 85.37 to 116.28) in LMIC, and 81.52 (95% CI: 72.27 to 92.82) globally. The age-standardized incidence of HS increased by 18.5% worldwide between 1990 and 2010. In HIC, there was a reduction in incidence of HS by 8% (95% CI: 1% to 15%), mortality by 38% (95% CI: 32% to 43%), DALY by 39% (95% CI: 32% to 44%), and MIR by 27% (95% CI: 19% to 35%) in the last 2 decades. In LMIC countries, there was a significant increase in the incidence of HS by 22% (95% CI: 5% to 30%), whereas there was a significant reduction in mortality rates of 23% (95% CI: -3% to 36%), DALY lost of 25% (95% CI: 7% to 38%), and MIR by 36% (95% CI: 16% to 49%). There were significant regional differences in incidence rates of HS, with the highest rates in LMIC regions such as sub-Saharan Africa and East Asia, and lowest rates in High Income North America and Western Europe. The worldwide burden of HS has increased over the last 2 decades in terms of absolute numbers of HS incident events. The majority of the burden of HS is borne by LMIC. Rates for HS incidence, mortality, and DALY lost, as well as MIR decreased in the past 2 decades in HIC, but increased significantly in LMIC countries, particularly in those patients ≤75 years. HS affected people at a younger age in LMIC than in HIC. The lowest incidence and mortality rates in 2010 were in High Income North America, Australasia, and Western Europe, whereas the highest rates were in Central Asia, Southeast Asia, and sub-Saharan Africa. These results suggest that reducing the burden of HS is a priority particularly in LMIC. The GBD 2010 findings may be a useful resource for planning strategies to reduce the global burden of HS.

<h2>Summary</h2><h3>Background</h3> Japan has entered the era of super-ageing and advanced health transition, which is increasingly putting pressure on the sustainability of its health system. The level and pace of this health transition might vary across regions within Japan and concern is growing about increasing regional variations in disease burden. The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) provides a comprehensive, comparable framework. We used data from GBD 2015 with the aim to quantify the burden of disease and injuries, and to attribute risk factors in Japan at a subnational, prefecture-level. <h3>Methods</h3> We used data from GBD 2015 for 315 causes and 79 risk factors of death, disease, and injury incidence and prevalence to measure the burden of diseases and injuries in Japan and in the 47 Japanese prefectures from 1990 to 2015. We extracted data from GBD 2015 to assess mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), life expectancy, and healthy life expectancy (HALE) in Japan and its 47 prefectures. We split extracted data by prefecture and applied GBD methods to generate estimates of burden, and attributable burden due to known risk factors. We examined the prefecture-level relationships of common health system inputs (eg, health expenditure and workforces) to the GBD outputs in 2015 to address underlying determinants of regional health variations. <h3>Findings</h3> Life expectancy at birth in Japan increased by 4·2 years from 79·0 years (95% uncertainty interval [UI] 79·0 to 79·0) to 83·2 years (83·1 to 83·2) between 1990 and 2015. However, the gaps between prefectures with the lowest and highest life expectancies and HALE have widened, from 2·5 to 3·1 years and from 2·3 to 2·7 years, respectively, from 1990 to 2015. Although overall age-standardised death rates decreased by 29·0% (28·7 to 29·3) from 1990 to 2015, the rates of mortality decline in this period substantially varied across the prefectures, ranging from −32·4% (−34·8 to −30·0) to −22·0% (−20·4 to −20·1). During the same time period, the rate of age-standardised DALYs was reduced overall by 19·8% (17·9 to 22·0). The reduction in rates of age-standardised YLDs was very small by 3·5% (2·6 to 4·3). The pace of reduction in mortality and DALYs in many leading causes has largely levelled off since 2005. Known risk factors accounted for 34·5% (32·4 to 36·9) of DALYs; the two leading behavioural risk factors were unhealthy diets and tobacco smoking in 2015. The common health system inputs were not associated with age-standardised death and DALY rates in 2015. <h3>Interpretation</h3> Japan has been successful overall in reducing mortality and disability from most major diseases. However, progress has slowed down and health variations between prefectures is growing. In view of the limited association between the prefecture-level health system inputs and health outcomes, the potential sources of regional variations, including subnational health system performance, urgently need assessment. <h3>Funding</h3> Bill & Melinda Gates Foundation, Japan Ministry of Education, Science, Sports and Culture, Japan Ministry of Health, Labour and Welfare, AXA CR Fixed Income Fund and AXA Research Fund.

Accurate information on stroke burden in men and women are important for evidence-based healthcare planning and resource allocation. Previously, limited research suggested that the absolute number of deaths from stroke in women was greater than in men, but the incidence and mortality rates were greater in men. However, sex differences in various metrics of stroke burden on a global scale have not been a subject of comprehensive and comparable assessment for most regions of the world, nor have sex differences in stroke burden been examined for trends over time.Stroke incidence, prevalence, mortality, disability-adjusted life years (DALYs) and healthy years lost due to disability were estimated as part of the Global Burden of Disease (GBD) 2013 Study. Data inputs included all available information on stroke incidence, prevalence and death and case fatality rates. Analysis was performed separately by sex and 5-year age categories for 188 countries. Statistical models were employed to produce globally comprehensive results over time. All rates were age-standardized to a global population and 95% uncertainty intervals (UIs) were computed.In 2013, global ischemic stroke (IS) and hemorrhagic stroke (HS) incidence (per 100,000) in men (IS 132.77 (95% UI 125.34-142.77); HS 64.89 (95% UI 59.82-68.85)) exceeded those of women (IS 98.85 (95% UI 92.11-106.62); HS 45.48 (95% UI 42.43-48.53)). IS incidence rates were lower in 2013 compared with 1990 rates for both sexes (1990 male IS incidence 147.40 (95% UI 137.87-157.66); 1990 female IS incidence 113.31 (95% UI 103.52-123.40)), but the only significant change in IS incidence was among women. Changes in global HS incidence were not statistically significant for males (1990 = 65.31 (95% UI 61.63-69.0), 2013 = 64.89 (95% UI 59.82-68.85)), but was significant for females (1990 = 64.892 (95% UI 59.82-68.85), 2013 = 45.48 (95% UI 42.427-48.53)). The number of DALYs related to IS rose from 1990 (male = 16.62 (95% UI 13.27-19.62), female = 17.53 (95% UI 14.08-20.33)) to 2013 (male = 25.22 (95% UI 20.57-29.13), female = 22.21 (95% UI 17.71-25.50)). The number of DALYs associated with HS also rose steadily and was higher than DALYs for IS at each time point (male 1990 = 29.91 (95% UI 25.66-34.54), male 2013 = 37.27 (95% UI 32.29-45.12); female 1990 = 26.05 (95% UI 21.70-30.90), female 2013 = 28.18 (95% UI 23.68-33.80)).Globally, men continue to have a higher incidence of IS than women while significant sex differences in the incidence of HS were not observed. The total health loss due to stroke as measured by DALYs was similar for men and women for both stroke subtypes in 2013, with HS higher than IS. Both IS and HS DALYs show an increasing trend for both men and women since 1990, which is statistically significant only for IS among men. Ongoing monitoring of sex differences in the burden of stroke will be needed to determine if disease rates among men and women continue to diverge. Sex disparities related to stroke will have important clinical and policy implications that can guide funding and resource allocation for national, regional and global health programs.

In 2011, the United Nations set key targets to reach by 2025 to reduce the risk of premature noncommunicable disease death by 25% by 2025. With cardiovascular disease being the largest contributor to global mortality, accounting for nearly half of the 36 million annual noncommunicable disease deaths, achieving the 2025 goal requires that cardiovascular disease and its risk factors be aggressively addressed. The Global Cardiovascular Disease Taskforce, comprising the World Heart Federation, American Heart Association, American College of Cardiology Foundation, European Heart Network, and European Society of Cardiology, with expanded representation from Asia, Africa, and Latin America, along with global cardiovascular disease experts, disseminates information and approaches to reach the United Nations 2025 targets. The writing committee, which reflects Global Cardiovascular Disease Taskforce membership, engaged the Institute for Health Metrics and Evaluation, University of Washington, to develop region-specific estimates of premature cardiovascular mortality in 2025 based on various scenarios. Results show that >5 million premature CVD deaths among men and 2.8 million among women are projected worldwide by 2025, which can be reduced to 3.5 million and 2.2 million, respectively, if risk factor targets for blood pressure, tobacco use, diabetes mellitus, and obesity are achieved. However, global risk factor targets have various effects, depending on region. For most regions, United Nations targets for reducing systolic blood pressure and tobacco use have more substantial effects on future scenarios compared with maintaining current levels of body mass index and fasting plasma glucose. However, preventing increases in body mass index has the largest effect in some high-income countries. An approach achieving reductions in multiple risk factors has the largest impact for almost all regions. Achieving these goals can be accomplished only if countries set priorities, implement cost-effective population wide strategies, and collaborate in public-private partnerships across multiple sectors.

Chagas disease, caused by infection with the protozoa Trypanosoma cruzi is transmitted most often by Triatominae insect vectors, but also through blood transfusion, organ transplant, and congenital transmission. Between 5 and 18 million people are currently infected and the infection is estimated to cause more than 10,000 deaths annually. The disease has 3 phases: acute, indeterminate, and chronic. The acute phase immediately follows infection. It is typically asymptomatic but produces fever and malaise in up to 5% of people. The indeterminate phase is asymptomatic. More than one-half of those infected will remain in this phase for life and never experience long-term sequelae. After a decade or more, 20% to 30% of people will experience chronic cardiovascular Chagas disease with sequelae including heart failure, arrhythmias, and thromboembolism. Another 15% to 20% will experience chronic digestive sequela including megaesophagus and megacolon. A complete accounting of the burden of Chagas disease requires estimating the prevalence of the infection, the prevalence of each of its sequelae among those with the infection, and the number of deaths attributable to the infection. Attempts to estimate Chagas disease prevalence are complicated by several challenges imposed by the disease's extreme spatial heterogeneity, quickly evolving temporal trends, the decades-long lag between infection and symptomatic disease, biased prevalence data, incomplete recognition of Chagas-attributable deaths, limited data on sequela, and a near total absence of data outside of endemic countries. Even though researchers have found methodological approaches to dealing with these challenges, there is a need for better data.

<h3>Importance</h3> Understanding causes and correlates of health loss among children and adolescents can identify areas of success, stagnation, and emerging threats and thereby facilitate effective improvement strategies. <h3>Objective</h3> To estimate mortality and morbidity in children and adolescents from 1990 to 2017 by age and sex in 195 countries and territories. <h3>Design, Setting, and Participants</h3> This study examined levels, trends, and spatiotemporal patterns of cause-specific mortality and nonfatal health outcomes using standardized approaches to data processing and statistical analysis. It also describes epidemiologic transitions by evaluating historical associations between disease indicators and the Socio-Demographic Index (SDI), a composite indicator of income, educational attainment, and fertility. Data collected from 1990 to 2017 on children and adolescents from birth through 19 years of age in 195 countries and territories were assessed. Data analysis occurred from January 2018 to August 2018. <h3>Exposures</h3> Being under the age of 20 years between 1990 and 2017. <h3>Main Outcomes and Measures</h3> Death and disability. All-cause and cause-specific deaths, disability-adjusted life years, years of life lost, and years of life lived with disability. <h3>Results</h3> Child and adolescent deaths decreased 51.7% from 13.77 million (95% uncertainty interval [UI], 13.60-13.93 million) in 1990 to 6.64 million (95% UI, 6.44-6.87 million) in 2017, but in 2017, aggregate disability increased 4.7% to a total of 145 million (95% UI, 107-190 million) years lived with disability globally. Progress was uneven, and inequity increased, with low-SDI and low-middle–SDI locations experiencing 82.2% (95% UI, 81.6%-82.9%) of deaths, up from 70.9% (95% UI, 70.4%-71.4%) in 1990. The leading disaggregated causes of disability-adjusted life years in 2017 in the low-SDI quintile were neonatal disorders, lower respiratory infections, diarrhea, malaria, and congenital birth defects, whereas neonatal disorders, congenital birth defects, headache, dermatitis, and anxiety were highest-ranked in the high-SDI quintile. <h3>Conclusions and Relevance</h3> Mortality reductions over this 27-year period mean that children are more likely than ever to reach their 20th birthdays. The concomitant expansion of nonfatal health loss and epidemiological transition in children and adolescents, especially in low-SDI and middle-SDI countries, has the potential to increase already overburdened health systems, will affect the human capital potential of societies, and may influence the trajectory of socioeconomic development. Continued monitoring of child and adolescent health loss is crucial to sustain the progress of the past 27 years.

Panorama• As DCNT constituem o principal grupo de causa de morte em todo o mundo, sendo responsáveis por mortes prematuras, perda de qualidade de vida, além de impactos adversos econômicos e sociais.As DCNT são responsáveis por cerca de 70% das mortes globais, equivalendo a mais de 38 milhões de mortes por ano, excedendo significativamente as mortes por causas externas e por doenças infecciosas. 28-31Cerca de 45% de todas as mortes por DCNT no mundo, mais de 17 milhões, são causadas por DCV.O mesmo ocorre no Brasil, onde 72% das mortes resultam de DCNT, sendo 30% devidas a DCV, 16% a neoplasias e 6% a doenças respiratórias. 32-34• A definição de DCV pode variar de acordo com o estudo, desde a inclusão de todas as doenças listadas no Capítulo IX da CID-10 até o simples agrupamento das 3 principais causas (DIC, AVC e insuficiência cardíaca).Para o GBD, a definição de DCV total engloba 10 causas: cardiopatia reumática, DIC, doença cerebrovascular, cardiopatia hipertensiva, cardiomiopatia, miocardite, fibrilação e flutter atrial, aneurisma aórtico, doença vascular periférica e endocardite. 35• As DCV eram a principal causa de morte no Brasil em 1990 e 2017 (Figura 1-1).De acordo com as estimativas do Estudo GBD 2017, entre as DCV, a DIC era a causa número 1 de morte no país, seguida por AVC, em 1990 e 2017 (Figura 1-2).Na verdade, em 2017, a DIC foi a principal causa de morte em todas as UF brasileiras, embora, em 1990, o AVC ainda fosse a causa de morte número 1 nos estados de Alagoas e Sergipe (Figuras 1-3 e 1-4). Prevalência• Gonçalves et al. publicaram em 2019 um estudo transversal que analisou informação da Pesquisa Nacional de Saúde conduzida em 2013 em uma amostra de 60.202 adultos com mais de 18 anos, estratificados por sexo e 6 grupos etários, usando um modelo de regressão logística binário e hierárquico.O diagnóstico autorreferido de doença cardíaca no Brasil foi de 4,2% (IC 95%: 4,0-4,3 ) e associado com as seguintes características: sexo feminino (OR = 1,1; IC 95%: 1,1-1,1), indivíduos de 65 anos ou mais, hipertensão (OR = 2,4; IC 95%: 2,2-2,7), elevação de colesterol (OR = 1,6; IC 95%: 1,5-1,8), sobrepeso (OR = 1,5; IC 95%: 1,4-1,8) ou obesidade (OR = 2,0; IC 95%: 1,7-2,2), sedentarismo (OR = 1,5; IC 95%: 1,02-2,1) e tabagismo (OR = 1,2; IC 95%: 1,03-1,3). 36• No estudo ELSA-Brasil, uma coorte que incluiu 15.105 funcionários públicos de 6 universidades ou institutos de pesquisa (54% mulheres, 35-74 anos, com avaliação basal entre

Each decade, the American Heart Association (AHA) develops an Impact Goal to guide its overall strategic direction and investments in its research, quality improvement, advocacy, and public health programs. Guided by the AHA's new Mission Statement, to be a relentless force for a world of longer, healthier lives, the 2030 Impact Goal is anchored in an understanding that to achieve cardiovascular health for all, the AHA must include a broader vision of health and well-being and emphasize health equity. In the next decade, by 2030, the AHA will strive to equitably increase healthy life expectancy beyond current projections, with global and local collaborators, from 66 years of age to at least 68 years of age across the United States and from 64 years of age to at least 67 years of age worldwide. The AHA commits to developing additional targets for equity and well-being to accompany this overarching Impact Goal. To attain the 2030 Impact Goal, we recommend a thoughtful evaluation of interventions available to the public, patients, providers, healthcare delivery systems, communities, policy makers, and legislators. This presidential advisory summarizes the task force's main considerations in determining the 2030 Impact Goal and the metrics to monitor progress. It describes the aspiration that these goals will be achieved by working with a diverse community of volunteers, patients, scientists, healthcare professionals, and partner organizations needed to ensure success.

In-hospital mortality rates from COVID-19 are high but appear to be decreasing for selected locations in the United States. It is not known whether this is because of changes in the characteristics of patients being admitted.To describe changing in-hospital mortality rates over time after accounting for individual patient characteristics.This was a retrospective cohort study of 20 736 adults with a diagnosis of COVID-19 who were included in the US American Heart Association COVID-19 Cardiovascular Disease Registry and admitted to 107 acute care hospitals in 31 states from March through November 2020. A multiple mixed-effects logistic regression was then used to estimate the odds of in-hospital death adjusted for patient age, sex, body mass index, and medical history as well as vital signs, use of supplemental oxygen, presence of pulmonary infiltrates at admission, and hospital site.In-hospital death adjusted for exposures for 4 periods in 2020.The registry included 20 736 patients hospitalized with COVID-19 from March through November 2020 (9524 women [45.9%]; mean [SD] age, 61.2 [17.9] years); 3271 patients (15.8%) died in the hospital. Mortality rates were 19.1% in March and April, 11.9% in May and June, 11.0% in July and August, and 10.8% in September through November. Compared with March and April, the adjusted odds ratios for in-hospital death were significantly lower in May and June (odds ratio, 0.66; 95% CI, 0.58-0.76; P < .001), July and August (odds ratio, 0.58; 95% CI, 0.49-0.69; P < .001), and September through November (odds ratio, 0.59; 95% CI, 0.47-0.73).In this cohort study, high rates of in-hospital COVID-19 mortality among registry patients in March and April 2020 decreased by more than one-third by June and remained near that rate through November. This difference in mortality rates between the months of March and April and later months persisted even after adjusting for age, sex, medical history, and COVID-19 disease severity and did not appear to be associated with changes in the characteristics of patients being admitted.

Studies of the epidemiology of heart failure in the general population can inform assessments of disease burden, research, public health policy and health system care delivery. We performed a systematic review of prevalence, incidence and survival for all available population-representative studies to inform the Global Burden of Disease 2020. We examined population-based studies published between 1990 and 2020 using structured review methods and database search strings. Studies were sought in which heart failure was defined by clinical diagnosis using structured criteria such as the Framingham or European Society of Cardiology criteria, with studies using alternate case definitions identified for comparison. Study results were extracted with descriptive characteristics including age range, location and case definition. Search strings identified 42 360 studies over a 30-year period, of which 790 were selected for full-text review and 125 met criteria for inclusion. 45 sources reported estimates of prevalence, 41 of incidence and 58 of mortality. Prevalence ranged from 0.2%, in a Hong Kong study of hospitalised heart failure patients in 1997, to 17.7%, in a US study of Medicare beneficiaries aged 65+ from 2002 to 2013. Collapsed estimates of incidence ranged from 0.1%, in the EPidémiologie de l'Insuffisance Cardiaque Avancée en Lorraine (EPICAL) study of acute heart failure in France among those aged 20-80 years in 1994, to 4.3%, in a US study of Medicare beneficiaries 65+ from 1994 to 2003. One-year heart failure case fatality ranged from 4% to 45% with an average of 33% overall and 24% for studies across all adult ages. Diagnostic criteria, case ascertainment strategy and demographic breakdown varied widely between studies. Prevalence, incidence and survival for heart failure varied widely across countries and studies, reflecting a range of study design. Heart failure remains a high prevalence disease among older adults with a high risk of death at 1 year.

Improving stroke services is critical for reducing the global stroke burden. The World Stroke Organization-World Health Organization-Lancet Neurology Commission on Stroke conducted a survey of the status of stroke services in low and middle-income countries (LMICs) compared to high-income countries.Using a validated World Stroke Organization comprehensive questionnaire, we collected and compared data on stroke services along four pillars of the stroke quadrangle (surveillance, prevention, acute stroke, and rehabilitation) in 84 countries across World Health Organization regions and economic strata. The World Health Organization also conducted a survey of non-communicable diseases in 194 countries in 2019.Fewer surveillance activities (including presence of registries, presence of recent risk factors surveys, and participation in research) were reported in low-income countries than high-income countries. The overall global score for prevention was 40.2%. Stroke units were present in 91% of high-income countries in contrast to 18% of low-income countries (p < 0.001). Acute stroke treatments were offered in ∼ 60% of high-income countries compared to 26% of low-income countries (p = 0.009). Compared to high-income countries, LMICs provided less rehabilitation services including in-patient rehabilitation, home assessment, community rehabilitation, education, early hospital discharge program, and presence of rehabilitation protocol.There is an urgent need to improve access to stroke units and services globally especially in LMICs. Countries with less stroke services can adapt strategies from those with better services. This could include establishment of a framework for regular monitoring of stroke burden and services, implementation of integrated prevention activities and essential acute stroke care services, and provision of interdisciplinary care for stroke rehabilitation.

Sobre estas estatísticas Esta é a edição de 2021 da Estatística Cardiovascular – Brasil , um esforço multi-institucional para fornecer periodicamente informação atualizada sobre a epidemiologia das DCV e AVC no Brasil. Este relatório incorpora estatísticas oficiais fornecidas pelo Ministério da Saúde brasileiro e outros órgãos governamentais, pelo projeto GBD liderado pelo IHME da Universidade de Washington, além de dados gerados por outras fontes e estudos científicos, como coortes e registros, sobre as DCV e seus fatores de risco. Este [...]

Importance Evidence suggests that maternal mortality has been increasing in the US. Comprehensive estimates do not exist. Long-term trends in maternal mortality ratios (MMRs) for all states by racial and ethnic groups were estimated. Objective To quantify trends in MMRs (maternal deaths per 100 000 live births) by state for 5 mutually exclusive racial and ethnic groups using a bayesian extension of the generalized linear model network. Design, Setting, and Participants Observational study using vital registration and census data from 1999 to 2019 in the US. Pregnant or recently pregnant individuals aged 10 to 54 years were included. Main Outcomes and Measures MMRs. Results In 2019, MMRs in most states were higher among American Indian and Alaska Native and Black populations than among Asian, Native Hawaiian, or Other Pacific Islander; Hispanic; and White populations. Between 1999 and 2019, observed median state MMRs increased from 14.0 (IQR, 5.7-23.9) to 49.2 (IQR, 14.4-88.0) among the American Indian and Alaska Native population, 26.7 (IQR, 18.3-32.9) to 55.4 (IQR, 31.6-74.5) among the Black population, 9.6 (IQR, 5.7-12.6) to 20.9 (IQR, 12.1-32.8) among the Asian, Native Hawaiian, or Other Pacific Islander population, 9.6 (IQR, 6.9-11.6) to 19.1 (IQR, 11.6-24.9) among the Hispanic population, and 9.4 (IQR, 7.4-11.4) to 26.3 (IQR, 20.3-33.3) among the White population. In each year between 1999 and 2019, the Black population had the highest median state MMR. The American Indian and Alaska Native population had the largest increases in median state MMRs between 1999 and 2019. Since 1999, the median of state MMRs has increased for all racial and ethnic groups in the US and the American Indian and Alaska Native; Asian, Native Hawaiian, or Other Pacific Islander; and Black populations each observed their highest median state MMRs in 2019. Conclusion and Relevance While maternal mortality remains unacceptably high among all racial and ethnic groups in the US, American Indian and Alaska Native and Black individuals are at increased risk, particularly in several states where these inequities had not been previously highlighted. Median state MMRs for the American Indian and Alaska Native and Asian, Native Hawaiian, or Other Pacific Islander populations continue to increase, even after the adoption of a pregnancy checkbox on death certificates. Median state MMR for the Black population remains the highest in the US. Comprehensive mortality surveillance for all states via vital registration identifies states and racial and ethnic groups with the greatest potential to improve maternal mortality. Maternal mortality persists as a source of worsening disparities in many US states and prevention efforts during this study period appear to have had a limited impact in addressing this health crisis.

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

United Nations member states have agreed to reduce premature cardiovascular disease (CVD) mortality 25% by 2025. Global CVD risk factor targets have been recommended. We produced estimates to show how selected risk factor reduction would affect CVD mortality for different regions and countries.We used mortality, risk factor, and relative risk data from the Global Burden of Disease, Risk Factors, and Injuries (GBD) 2013 study to project CVD mortality for 188 countries up to the year 2025. We disaggregated observed CVD mortality in 1990 and 2013 into deaths attributable and unattributable to hypertension, tobacco smoking, diabetes mellitus, and obesity using an age- and sex-specific population-attributable fraction. Risk factors were projected to 2025 assuming that current trends continue. Counterfactual scenarios were then constructed reflecting CVD premature mortality if United Nations risk factor targets are achieved in the year 2025, adjusting for joint effects of risk factors. We estimate 7.8 million premature CVD deaths in 2025 if current risk factor trends continue. Premature CVD deaths would be reduced to 5.7 million if these risk factors targets are achieved as a result of a 26% reduction for men and a 23% reduction for women in the global risk of premature CVD death. Globally, decreasing the prevalence of hypertension accounted for the largest risk reduction, followed by a reduction in tobacco smoking for men and obesity for women, but these results varied by region. The impact of meeting all risk factor targets on CVD mortality varied widely by region and sex.The United Nations target of a 25% reduction in premature CVD mortality by the year 2025 appears achievable for some countries, but more aggressive risk factor targets may be required if all regions are to reach this goal. Without these reductions in CVD risk factors, many countries will see no change or even an increase in premature CVD mortality.

Global Heart is the official and primary publication of the World Heart Federation, offering a platform for the dissemination of knowledge on research, developments, trends, solutions and public health programmes in the area of cardiovascular disease. Global Heart welcomes research results, points of view and educational material on the prevention, treatment and control of cardiovascular disease with a special focus on low and middle-income countries which are facing the brunt of epidemiological transition.Global Heart strongly encourages authors to adhere to CONSORT, STROBE, STARD, and PRISMA guidelines for reporting of clinical trials, observational studies, diagnostic test accuracy papers, and systematic reviews or meta-analyses. Authors are required for submission to download and complete the appropriate Equator Network checklist: http://www.equator-network.org/.

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Global Heart is the official and primary publication of the World Heart Federation, offering a platform for the dissemination of knowledge on research, developments, trends, solutions and public health programmes in the area of cardiovascular disease. Global Heart welcomes research results, points of view and educational material on the prevention, treatment and control of cardiovascular disease with a special focus on low and middle-income countries which are facing the brunt of epidemiological transition.Global Heart strongly encourages authors to adhere to CONSORT, STROBE, STARD, and PRISMA guidelines for reporting of clinical trials, observational studies, diagnostic test accuracy papers, and systematic reviews or meta-analyses. Authors are required for submission to download and complete the appropriate Equator Network checklist: http://www.equator-network.org/.

Global Heart is the official and primary publication of the World Heart Federation, offering a platform for the dissemination of knowledge on research, developments, trends, solutions and public health programmes in the area of cardiovascular disease. Global Heart welcomes research results, points of view and educational material on the prevention, treatment and control of cardiovascular disease with a special focus on low and middle-income countries which are facing the brunt of epidemiological transition.Global Heart strongly encourages authors to adhere to CONSORT, STROBE, STARD, and PRISMA guidelines for reporting of clinical trials, observational studies, diagnostic test accuracy papers, and systematic reviews or meta-analyses. Authors are required for submission to download and complete the appropriate Equator Network checklist: http://www.equator-network.org/.

&lt;b&gt;&lt;i&gt;Background:&lt;/i&gt;&lt;/b&gt; There is increasing recognition of stroke as an important contributor to childhood morbidity and mortality. Current estimates of global childhood stroke burden and its temporal trends are sparse. Accurate and up-to-date estimates of childhood stroke burden are important for planning research and the resulting evidence-based strategies for stroke prevention and management. &lt;b&gt;&lt;i&gt;Objectives:&lt;/i&gt;&lt;/b&gt; To estimate the prevalence, mortality and disability-adjusted life years (DALYs) for ischemic stroke (IS), hemorrhagic stroke (HS) and all stroke types combined globally from 1990 to 2013. &lt;b&gt;&lt;i&gt;Methodology:&lt;/i&gt;&lt;/b&gt; Stroke prevalence, mortality and DALYs were estimated using the Global Burden of Disease 2013 methods. All available data on stroke-related incidence, prevalence, excess mortality and deaths were collected. Statistical models and country-level covariates were employed to produce comprehensive and consistent estimates of prevalence and mortality. Stroke-specific disability weights were used to estimate years lived with disability and DALYs. Means and 95% uncertainty intervals (UIs) were calculated for prevalence, mortality and DALYs. The median of the percent change and 95% UI were determined for the period from 1990 to 2013. &lt;b&gt;&lt;i&gt;Results:&lt;/i&gt;&lt;/b&gt; In 2013, there were 97,792 (95% UI 90,564-106,016) prevalent cases of childhood IS and 67,621 (95% UI 62,899-72,214) prevalent cases of childhood HS, reflecting an increase of approximately 35% in the absolute numbers of prevalent childhood strokes since 1990. There were 33,069 (95% UI 28,627-38,998) deaths and 2,615,118 (95% UI 2,265,801-3,090,822) DALYs due to childhood stroke in 2013 globally, reflecting an approximately 200% decrease in the absolute numbers of death and DALYs in childhood stroke since 1990. Between 1990 and 2013, there were significant increases in the global prevalence rates of childhood IS, as well as significant decreases in the global death rate and DALYs rate of all strokes in those of age 0-19 years. While prevalence rates for childhood IS and HS decreased significantly in developed countries, a decline was seen only in HS, with no change in prevalence rates of IS, in developing countries. The childhood stroke DALY rates in 2013 were 13.3 (95% UI 10.6-17.1) for IS and 92.7 (95% UI 80.5-109.7) for HS per 100,000. While the prevalence of childhood IS compared to childhood HS was similar globally, the death rate and DALY rate of HS was 6- to 7-fold higher than that of IS. In 2013, the prevalence rate of both childhood IS and HS was significantly higher in developed countries than in developing countries. Conversely, both death and DALY rates for all stroke types were significantly lower in developed countries than in developing countries in 2013. Men showed a trend toward higher childhood stroke death rates (1.5 (1.3-1.8) per 100,000) than women (1.1 (0.9-1.5) per 100,000) and higher childhood stroke DALY rates (120.1 (100.8-143.4) per 100,000) than women (90.9 (74.6-122.4) per 100,000) globally in 2013. &lt;b&gt;&lt;i&gt;Conclusions:&lt;/i&gt;&lt;/b&gt; Globally, between 1990 and 2013, there was a significant increase in the absolute number of prevalent childhood strokes, while absolute numbers and rates of both deaths and DALYs declined significantly. The gap in childhood stroke burden between developed and developing countries is closing; however, in 2013, childhood stroke burden in terms of absolute numbers of prevalent strokes, deaths and DALYs remained much higher in developing countries. There is an urgent need to address these disparities with both global and country-level initiatives targeting prevention as well as improved access to acute and chronic stroke care.

The burden of stroke in low- and middle-income countries (LMICs) is large and increasing, challenging the already stretched health-care services.To determine the quality of existing stroke-care services in LMICs and to highlight indigenous, inexpensive, evidence-based implementable strategies being used in stroke-care.A detailed literature search was undertaken using PubMed and Google scholar from January 1966 to October 2015 using a range of search terms. Of 921 publications, 373 papers were shortlisted and 31 articles on existing stroke-services were included.We identified efficient models of ambulance transport and pre-notification. Stroke Units (SU) are available in some countries, but are relatively sparse and mostly provided by the private sector. Very few patients were thrombolysed; this could be increased with telemedicine and governmental subsidies. Adherence to secondary preventive drugs is affected by limited availability and affordability, emphasizing the importance of primary prevention. Training of paramedics, care-givers and nurses in post-stroke care is feasible.In this systematic review, we found several reports on evidence-based implementable stroke services in LMICs. Some strategies are economic, feasible and reproducible but remain untested. Data on their outcomes and sustainability is limited. Further research on implementation of locally and regionally adapted stroke-services and cost-effective secondary prevention programs should be a priority.

This review describes trends in the burden of cardiovascular diseases (CVDs) and risk factors in India compared with the United States; provides potential explanations for these differences; and describes strategies to improve cardiovascular health behaviors, systems, and policies in India. The prevalence of CVD in India has risen over the past 2 decades due to population growth, aging, and a stable age-adjusted CVD mortality rate. Over the same time period, the United States has experienced an overall decline in age-adjusted CVD mortality, although the trend has begun to plateau. These improvements in CVD mortality in the United States are largely due to favorable population-level risk factor trends, specifically with regard to tobacco use, cholesterol, and blood pressure, although improvements in secondary prevention and acute care have also contributed. To realize similar gains in reducing premature death and disability from CVD, India needs to implement population-level policies while strengthening and integrating its local, regional, and national health systems. Achieving universal health coverage that includes financial risk protection should remain a goal to help all Indians realize their right to health.

Background: Spending on cardiovascular disease and cardiovascular risk factors (cardiovascular spending) accounts for a significant portion of overall US health care spending. Our objective was to describe US adult cardiovascular spending patterns in 2016, changes from 1996 to 2016, and factors associated with changes over time. Methods: We extracted information on adult cardiovascular spending from the Institute for Health Metrics and Evaluation’s disease expenditure project, which combines data on insurance claims, emergency department and ambulatory care visits, inpatient and nursing care facility stays, and drug prescriptions to estimate &gt;85% of all US health care spending. Cardiovascular spending (2016 US dollars) was stratified by age, sex, type of care, payer, and cardiovascular cause. Time trend and decomposition analyses quantified contributions of epidemiology, service price and intensity (spending per unit of utilization, eg, spending per inpatient bed-day), and population growth and aging to the increase in cardiovascular spending from 1996 to 2016. Results: Adult cardiovascular spending increased from $212 billion in 1996 to $320 billion in 2016, a period when the US population increased by &gt;52 million people, and median age increased from 33.2 to 36.9 years. Over this period, public insurance was responsible for the majority of cardiovascular spending (54%), followed by private insurance (37%) and out-of-pocket spending (9%). Health services for ischemic heart disease ($80 billion) and hypertension ($71 billion) led to the most spending in 2016. Increased spending between 1996 and 2016 was primarily driven by treatment of hypertension, hyperlipidemia, and atrial fibrillation/flutter, for which spending rose by $42 billion, $18 billion, and $16 billion, respectively. Increasing service price and intensity alone were associated with a 51%, or $88 billion, cardiovascular spending increase from 1996 to 2016, whereas changes in disease prevalence were associated with a 37%, or $36 billion, spending reduction over the same period, after taking into account population growth and population aging. Conclusions: US adult cardiovascular spending increased by &gt;$100 billion from 1996 to 2016. Policies tailored to control service price and intensity and preferentially reimburse higher quality care could help counteract future spending increases caused by population aging and growth.

A systematic understanding of the burden of neurological disorders at the subnational level is not readily available for India. We present a comprehensive analysis of the disease burden and trends of neurological disorders at the state level in India.Using all accessible data from multiple sources, we estimated the prevalence or incidence and disability-adjusted life-years (DALYs) for neurological disorders from 1990 to 2019 for all states of India as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. We assessed the contribution of each neurological disorder to deaths and DALYs in India in 2019, their trends in prevalence or incidence and DALY rates over time, and heterogeneity between the states of India. We also assessed the Pearson correlation coefficient between Socio-demographic Index (SDI) of the states and the prevalence or incidence and DALY rates of each neurological disorder. Additionally, we estimated the contribution of known risk factors to DALYs from neurological disorders. We calculated 95% uncertainty intervals (UIs) for the mean estimates.The contribution of non-communicable neurological disorders to total DALYs in India doubled from 4·0% (95% UI 3·2-5·0) in 1990 to 8·2% (6·6-10·2) in 2019, and the contribution of injury-related neurological disorders increased from 0·2% (0·2-0·3) to 0·6% (0·5-0·7). Conversely, the contribution of communicable neurological disorders decreased from 4·1% (3·5-4·8) to 1·1% (0·9-1·5) during the same period. In 2019, the largest contributors to the total neurological disorder DALYs in India were stroke (37·9% [29·9-46·1]), headache disorders (17·5% [3·6-32·5]), epilepsy (11·3% [9·0-14·3]), cerebral palsy (5·7% [4·2-7·7]), and encephalitis (5·3% [3·7-8·9]). The crude DALY rate of several neurological disorders had considerable heterogeneity between the states in 2019, with the highest variation for tetanus (93·2 times), meningitis (8·3 times), and stroke (5·5 times). SDI of the states had a moderate significant negative correlation with communicable neurological disorder DALY rate and a moderate significant positive correlation with injury-related neurological disorder DALY rate in 2019. For most of the non-communicable neurological disorders, there was an increase in prevalence or incidence from 1990 to 2019. Substantial decreases were evident in the incidence and DALY rates of communicable neurological disorders during the same period. Migraine and multiple sclerosis were more prevalent among females than males and traumatic brain injuries were more common among males than females in 2019. Communicable diseases contributed to the majority of total neurological disorder DALYs in children younger than 5 years, and non-communicable neurological disorders were the highest contributor in all other age groups. In 2019, the leading risk factors contributing to DALYs due to non-communicable neurological disorders in India included high systolic blood pressure, air pollution, dietary risks, high fasting plasma glucose, and high body-mass index. For communicable disorders, the identified risk factors with modest contributions to DALYs were low birthweight and short gestation and air pollution.The increasing contribution of non-communicable and injury-related neurological disorders to the overall disease burden in India, and the substantial state-level variation in the burden of many neurological disorders highlight the need for state-specific health system responses to address the gaps in neurology services related to awareness, early identification, treatment, and rehabilitation.Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

<h3>Importance</h3> Measuring health care spending by race and ethnicity is important for understanding patterns in utilization and treatment. <h3>Objective</h3> To estimate, identify, and account for differences in health care spending by race and ethnicity from 2002 through 2016 in the US. <h3>Design, Setting, and Participants</h3> This exploratory study included data from 7.3 million health system visits, admissions, or prescriptions captured in the Medical Expenditure Panel Survey (2002-2016) and the Medicare Current Beneficiary Survey (2002-2012), which were combined with the insured population and notified case estimates from the National Health Interview Survey (2002; 2016) and health care spending estimates from the Disease Expenditure project (1996-2016). <h3>Exposure</h3> Six mutually exclusive self-reported race and ethnicity groups. <h3>Main Outcomes and Measures</h3> Total and age-standardized health care spending per person by race and ethnicity for each year from 2002 through 2016 by type of care. Health care spending per notified case by race and ethnicity for key diseases in 2016. Differences in health care spending across race and ethnicity groups were decomposed into differences in utilization rate vs differences in price and intensity of care. <h3>Results</h3> In 2016, an estimated $2.4 trillion (95% uncertainty interval [UI], $2.4 trillion-$2.4 trillion) was spent on health care across the 6 types of care included in this study. The estimated age-standardized total health care spending per person in 2016 was $7649 (95% UI, $6129-$8814) for American Indian and Alaska Native (non-Hispanic) individuals; $4692 (95% UI, $4068-$5202) for Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals; $7361 (95% UI, $6917-$7797) for Black (non-Hispanic) individuals; $6025 (95% UI, $5703-$6373) for Hispanic individuals; $9276 (95% UI, $8066-$10 601) for individuals categorized as multiple races (non-Hispanic); and $8141 (95% UI, $8038-$8258) for White (non-Hispanic) individuals, who accounted for an estimated 72% (95% UI, 71%-73%) of health care spending. After adjusting for population size and age, White individuals received an estimated 15% (95% UI, 13%-17%;<i>P</i> &lt; .001) more spending on ambulatory care than the all-population mean. Black (non-Hispanic) individuals received an estimated 26% (95% UI, 19%-32%;<i>P</i> &lt; .001) less spending than the all-population mean on ambulatory care but received 19% (95% UI, 3%-32%;<i>P</i> = .02) more on inpatient and 12% (95% UI, 4%-24%;<i>P</i> = .04) more on emergency department care. Hispanic individuals received an estimated 33% (95% UI, 26%-37%;<i>P</i> &lt; .001) less spending per person on ambulatory care than the all-population mean. Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals received less spending than the all-population mean on all types of care except dental (all<i>P</i> &lt; .001), while American Indian and Alaska Native (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 90% more; 95% UI, 11%-165%;<i>P</i> = .04), and multiple-race (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 40% more; 95% UI, 19%-63%;<i>P</i> = .006). All 18 of the statistically significant race and ethnicity spending differences by type of care corresponded with differences in utilization. These differences persisted when controlling for underlying disease burden. <h3>Conclusions and Relevance</h3> In the US from 2002 through 2016, health care spending varied by race and ethnicity across different types of care even after adjusting for age and health conditions. Further research is needed to determine current health care spending by race and ethnicity, including spending related to the COVID-19 pandemic.

The impact of COVID-19 on the burden of cardiovascular diseases (CVD) during the early pandemic remains unclear. COVID-19 has become one of the leading causes of global mortality, with a disproportionate impact on persons with CVD. Studies of health facility admissions for CVD found significant decreases during the pandemic. Studies of hospital mortality for CVD were more variable. Studies of population-level CVD mortality differed across countries, with most showing decreases, although some revealed increases in deaths. In some countries where large increases in CVD deaths were reported in vital registration systems, misclassification of COVID-19 as CVD may have occurred. Taken together, studies suggest heterogeneous effects of the COVID-19 pandemic on CVD without large increases in CVD mortality in 2020 for a number of countries. Clinical and population science research is needed to examine the ways in which the pandemic has affected CVD burden.

High systolic blood pressure (SBP) is a major risk factor for ischemic heart disease (IHD), the leading cause of death worldwide. Using data from published observational studies and controlled trials, we estimated the mean SBP-IHD dose-response function and burden of proof risk function (BPRF), and we calculated a risk outcome score (ROS) and corresponding star rating (one to five). We found a very strong, significant harmful effect of SBP on IHD, with a mean risk-relative to that at 100 mm Hg SBP-of 1.39 (95% uncertainty interval including between-study heterogeneity 1.34-1.44) at 120 mm Hg, 1.81 (1.70-1.93) at 130 mm Hg and 4.48 (3.81-5.26) at 165 mm Hg. The conservative BPRF measure indicated that SBP exposure between 107.5 and 165.0 mm Hg raised risk by 101.36% on average, yielding a ROS of 0.70 and star rating of five. Our analysis shows that IHD risk was already increasing at 120 mm Hg SBP, rising steadily up to 165 mm Hg and increasing less steeply above that point. Our study endorses the need to prioritize and strengthen strategies for screening, to raise awareness of the need for timely diagnosis and treatment of hypertension and to increase the resources allocated for understanding primordial prevention of elevated blood pressure.

Exposure to risks throughout life results in a wide variety of outcomes. Objectively judging the relative impact of these risks on personal and population health is fundamental to individual survival and societal prosperity. Existing mechanisms to quantify and rank the magnitude of these myriad effects and the uncertainty in their estimation are largely subjective, leaving room for interpretation that can fuel academic controversy and add to confusion when communicating risk. We present a new suite of meta-analyses-termed the Burden of Proof studies-designed specifically to help evaluate these methodological issues objectively and quantitatively. Through this data-driven approach that complements existing systems, including GRADE and Cochrane Reviews, we aim to aggregate evidence across multiple studies and enable a quantitative comparison of risk-outcome pairs. We introduce the burden of proof risk function (BPRF), which estimates the level of risk closest to the null hypothesis that is consistent with available data. Here we illustrate the BPRF methodology for the evaluation of four exemplar risk-outcome pairs: smoking and lung cancer, systolic blood pressure and ischemic heart disease, vegetable consumption and ischemic heart disease, and unprocessed red meat consumption and ischemic heart disease. The strength of evidence for each relationship is assessed by computing and summarizing the BPRF, and then translating the summary to a simple star rating. The Burden of Proof methodology provides a consistent way to understand, evaluate and summarize evidence of risk across different risk-outcome pairs, and informs risk analysis conducted as part of the Global Burden of Diseases, Injuries, and Risk Factors Study.

Coronavirus disease 2019 (COVID-19) may be associated with increased risk for ischemic stroke. We present prevalence and characteristics of strokes in patients with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 infection enrolled in the American Heart Association COVID-19 Cardiovascular Disease Registry.In this quality improvement registry study, we examined demographic, baseline clinical characteristics, and in-hospital outcomes among hospitalized COVID-19 patients. The primary outcomes were ischemic stroke or transient ischemic attack (TIA) and in-hospital death.Among 21 073 patients with COVID-19 admitted at 107 hospitals between January 29, 2020, and November 23, 2020, 160 (0.75%) experienced acute ischemic stroke/TIA (55.3% of all acute strokes) and 129 (0.61%) had other types of stroke. Among nonischemic strokes, there were 44 (15.2%) intracerebral hemorrhages, 33 (11.4%) subarachnoid hemorrhages, 21 (7.3%) epidural/subdural hemorrhages, 2 (0.7%) cerebral venous sinus thromboses, and 24 (8.3%) strokes not otherwise classified. Asians and non-Hispanic Blacks were overrepresented among ischemic stroke/TIA patients compared with their overall representation in the registry, but adjusted odds of stroke did not vary by race. Median time from COVID-19 symptom onset to ischemic stroke was 11.5 days (interquartile range, 17.8); median National Institutes of Health Stroke Scale score was 11 (interquartile range, 17). COVID-19 patients with acute ischemic stroke/TIA had higher prevalence of hypertension, diabetes, and atrial fibrillation compared with those without stroke. Intensive care unit admission and mechanical ventilation were associated with higher odds of acute ischemic stroke/TIA, but older age was not a predictor. In adjusted models, acute ischemic stroke/TIA was not associated with in-hospital mortality.Ischemic stroke risk did not vary by race. In contrast to the association between older age and death from COVID-19, ischemic stroke risk was the highest among middle-aged adults after adjusting for comorbidities and illness severity, suggesting a potential mechanism for ischemic stroke in COVID-19 independent of age-related atherosclerotic pathways.

Ischemic heart disease (IHD) was the leading cause of disease burden worldwide in 2010. The majority of IHD burden affected middle-income regions. We hypothesized IHD burden may vary among countries, even within the same broad geographic region.Disability-adjusted life years (DALYs) due to IHD were estimated at the region level for 7 “super-regions,” 21 regions, and 187 countries using geographically nested models for IHD mortality and prevalent nonfatal IHD (nonfatal acute myocardial infarction, angina pectoris, or ischemic heart failure). Acute myocardial infarction, angina, and heart failure disability weights were applied to prevalent cases. Absolute numbers of DALYs and age-standardized DALYs per 100,000 persons were estimated for each region and country in 1990 and 2010. IHD burden for world regions was analyzed by country, income, and age.About two-thirds of 2010 IHD DALYs affected middle-income countries. In the North Africa/Middle East and South Asia regions, which have high IHD burden, more than 29% of men and 24% of women struck by IHD were <50 years old. Age-standardized IHD DALYs decreased in most countries between 1990 and 2010, but increased in a number of countries in the Eastern Europe/Central Asia region (>1,000 per 100,000 increase) and South Asia region (>175 per 100,000). Age-standardized DALYs varied by up to 8-fold among countries, by about 9,000 per 100,000 among middle-income countries, about 7,400 among low-income countries, and about 4,300 among high-income countries.The majority of IHD burden in 2010 affected middle-income regions, where younger adults were more likely to develop IHD in regions such as South Asia and North Africa/Middle East. However, IHD burden varied substantially by country within regions, especially among middle-income countries. A global or regional approach to IHD prevention will not be sufficient; research and policy should focus on the highest burden countries within regions.

Ischemic heart disease (IHD) is the leading cause of death worldwide. The GBD (Global Burden of Disease, Injuries, and Risk Factors) study (GBD 2010 Study) conducted a systematic review of IHD epidemiology literature from 1980 to 2008 to inform estimates of the burden on IHD in 21 world regions in 1990 and 2010.The disease model of IHD for the GBD 2010 Study included IHD death and 3 sequelae: myocardial infarction, heart failure, and angina pectoris. Medline, EMBASE, and LILACS were searched for IHD epidemiology studies in GBD high-income and low- and middle-income regions published between 1980 and 2008 using a systematic protocol validated by regional IHD experts. Data from included studies were supplemented with unpublished data from selected high-quality surveillance and survey studies. The epidemiologic parameters of interest were incidence, prevalence, case fatality, and mortality.Literature searches yielded 40,205 unique papers, of which 1,801 met initial screening criteria. Upon detailed review of full text papers, 137 published studies were included. Unpublished data were obtained from 24 additional studies. Data were sufficient for high-income regions, but missing or sparse in many low- and middle-income regions, particularly Sub-Saharan Africa.A systematic review for the GBD 2010 Study provided IHD epidemiology estimates for most world regions, but highlighted the lack of information about IHD in Sub-Saharan Africa and other low-income regions. More complete knowledge of the global burden of IHD will require improved IHD surveillance programs in all world regions.

HomeStrokeVol. 46, No. 6New Strategy to Reduce the Global Burden of Stroke Free AccessResearch ArticlePDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissionsDownload Articles + Supplements ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toSupplemental MaterialFree AccessResearch ArticlePDF/EPUBNew Strategy to Reduce the Global Burden of Stroke Valery L. Feigin, MD, PhD, Rita Krishnamurthi, PhD, Rohit Bhattacharjee, MPH, Priya Parmar, MSc, Alice Theadom, PhD, Tasleem Hussein, BSc, Mitali Purohit, MBioEnt, Patria Hume, PhD, Max Abbott, PhD, Elaine Rush, PhD, Nikola Kasabov, PhD, Ineke Crezee, PhD, Stanley Frielick, PhD, Suzanne Barker-Collo, PhD, P. Alan Barber, MD, PhD, Bruce Arroll, MBChB, PhD, Richie Poulton, PhD, Yogini Ratnasabathy, MD, MSc, Martin Tobias, MBBCh, Norberto Cabral, MD, MSc, PhD, Sheila C.O. Martins, MD, PhD, Luis E.T.A. Furtado, MD, Patrice Lindsay, PhD, Gustavo Saposnik, MD, MSc, Maurice Giroud, MD, PhD, Yannick Béjot, MD, PhD, Werner Hacke, MD, PhD, Man Mohan Mehndiratta, MD, DM, Jeyaraj Durai Pandian, MD, DM, Sanjeev Gupta, MPT (MS), BPT, Vasantha Padma, MD, Dipes Kumar Mandal, MD, DM, Yoshihiro Kokubo, MD, PhD, Norlinah Mohamed Ibrahim, MBBCH, MRCP, Ramesh Sahathevan, PhD, Hua Fu, MB, PhD, Wenzhi Wang, PhD, Liping Liu, MD, Zeng-Guang Hou, PhD, António Freire Goncalves, MD, PhD, Manuel Correia, MD, Yury Varakin, MD, PhD, Michael Kravchenko, PhD, Michael Piradov, MD, PhD, Mohammed Saadah, MD, Amanda G. Thrift, PhD, Dominique Cadilhac, PhD, Stephen Davis, MD, PhD, Geoffrey Donnan, MD, PhD, Alan D. Lopez, PhD, Graeme J. Hankey, MD, PhD, Annick Maujean, PhD, Elizabeth Kendall, PhD, Michael Brainin, MD, Foad Abd-Allah, MD, Natan M. Bornstein, MD, Valeria Caso, MD, PhD, Juan Manuel Marquez-Romero, MD, MSc, Rufus O. Akinyemi, PhD, Nasser F. Bin Dhim, PhD, Bo Norrving, MD, Shireen Sindi, PhD, Miia Kivipelto, MD, PhD, Shanthi Mendis, PhD, M. Arfan Ikram, MD, PhD, Albert Hofman, MD, PhD, Saira Saeed Mirza, MD, MSc, Peter M. Rothwell, FMedSci, Peter Sandercock, MA, DM, Raad Shakir, MD, Ralph L. Sacco, MD, MS, Antonio Culebras, MD, Gregory A. Roth, MD, MPH, Maziar Moradi-Lakeh, MD, MPH, Christopher Murray, PhD, K.M. Venkat Narayan, MD, George A. Mensah, MD, David Wiebers, MD, PhD and Andrew E. Moran, MDRIBURST Study Collaboration Writing Group Valery L. FeiginValery L. Feigin From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies (V.L.F., R.K., R.B., P.P., A.T.), Faculty of Health and Environmental Sciences (P.H., M.A., E.R.), Information Technology (T.H.), Research and Innovation Office (M.P.), Knowledge Engineering and Discovery Research Institute (N.K.), Translation and Interpreting Department (I.C.), and Centre for Learing and Teaching (S.F.), Auckland University of Technology, Auckland, New Zealand; School of Psychology, University of Auckland, Auckland, New Zealand (S.B.-C.); Department of Neurology, University of Auckland, Auckland, New Zealand (P.A.B.); School of Public Health, University of Auckland, Auckland, New Zealand (B.A.); Department of Preventive and Social Medicine, Otago University, Dunedin, New Zealand (R.P.); Older People Care, Waitemata DHB, Auckland, New Zealand (Y.R.); Health Intelligence, Ministry of Health, Wellington, New Zealand (M.T.); Joinville Stroke Register, University of Joinville Region, Joinville, Brazil (N.C.); Hospital de Clinicas de Porto Alegre, Hospital Moinhos de Vento, Ministry of Health, Brazil (S.C.O.M.); Department of Neurology, Universidade Federal do Ceará, Sobral-Ceará, Brazil (L.E.T.A.F.); Stroke Foundation of Canada, Ottawa, Canada (P.L.); Department of Medicine and Health Policy, Management and Evaluation University of Toronto, Toronto, Canada (G.S.); Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, Dijon, France (M.G., Y.B.); Department of Neurology, Ruprecht Karl University Heidelberg, Heidelberg, Germany (W.H.); Janakpuri Super Speciality Hospital, New Delhi, India (M.M.M.); Department of Neurology, Christian Medical College, Ludhiana, Punjab, India (J.D.P.); Banarsidas Chandiwala Institute of Physiotherapy, Kalkaji, New Delhi, India (S.G.); All India Institute of Medical Sciences, New Delhi, India (V.P.); Stroke Foundation of Bengal, Kolkata, West Bengal, India (D.K.M.); Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan (Y.K.); UKM Medical Center, Kuala Lumpur, Malaysia (N.M.I., R.S.); School of Public Health, Fudan University, Shanghai, China (H.F.); Beijing Neurosurgical Institute, Beijing, China (W.W.); Capital Medical University, Beijing, China (L.L.); Institute of Automation, Beijing, China (Z.-G.H.); University Hospital of Coimbra, Coimbra, Portugal (A.F.G.); Serviço de Neurologia, Hospital de Santo Antóni, Portugal (M.C.); Research Center of Neurology, Moscow, Russia (Y.V., M.K., M.P.); University of Emirates, Abu-Dhabi, United Arab Emirates (M.S.); Department of Medicine, Monash University, Clayton, Victoria, Australia (A.G.T., D.C.); The Royal Melbourne Hospital (S.D.), Florey Institute of Neuroscience and Mental Health (G.D.), and Public Health (A.D.L.), University of Melbourne, Parkville, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (G.J.H.); Griffith University, Brisbane, Australia (A.M., E.K.); Center for Clinical Neurosciences, Danube University, Vienna, Austria (M.B.); Cairo University, Cairo, Egypt (F.A.-A.); Tel Aviv Sourasky Medical Center, Neurology Department, Tel-Aviv University, Tel-Aviv, Israel (N.M.B.); Stroke Unit, Perugia, Perugia, Italy (V.C.); HGZ 2, IMSS Aguascalientes, Aguascalientes, Mexico (J.M.M.-R.); Federal Medical Centre Abeokuta, Abeokuta, Nigeria (R.O.A.); Health Informatics Department, Saudi Electronic University, Saudi Arabia (N.F.B.D.); Department of Neurology, Lund University, Lund, Sweden (B.N.); Department of Epidemiology (S.S.) and Aging Research Center, Center for Alzheimer Research (M.K.), Karolinska Institutet, Stockholm, Sweden; Noncommunicable Diseases, World Health Organization, Geneva, Switzerland (S.M.); Erasmus University Medical Center, Rotterdam, The Netherlands (M.A.I., A.H., S.S.M.); Nuffield Department of Neuroscience, Oxford University, Oxford, United Kingdom (P.M.R.); Western General Hospital, Edinburgh, United Kingdom (P.S.); Department of Neurology, Imperial College NHS Trust, London, United Kingdom (R.S.); Department of Neurology, Miller School of Medicine, University of Miami (R.L.S.); Department of Neurology, SUNY Upstate Medical University, Syracuse, NY (A.C.); Division of Cardiology, Department of Medicine (G.A.R.), Institute for Health Metrics and Evaluation (G.A.R., M.M.-L., C.M.), University of Washington, Seattle; Emory University, Atlanta, GA (K.M.V.N.); Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Neurology, Mayo Clinic, Rochester, MN (D.W.); and Division of General Medicine, Columbia University Medical Center, NY (A.E.M.). , Rita KrishnamurthiRita Krishnamurthi From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies (V.L.F., R.K., R.B., P.P., A.T.), Faculty of Health and Environmental Sciences (P.H., M.A., E.R.), Information Technology (T.H.), Research and Innovation Office (M.P.), Knowledge Engineering and Discovery Research Institute (N.K.), Translation and Interpreting Department (I.C.), and Centre for Learing and Teaching (S.F.), Auckland University of Technology, Auckland, New Zealand; School of Psychology, University of Auckland, Auckland, New Zealand (S.B.-C.); Department of Neurology, University of Auckland, Auckland, New Zealand (P.A.B.); School of Public Health, University of Auckland, Auckland, New Zealand (B.A.); Department of Preventive and Social Medicine, Otago University, Dunedin, New Zealand (R.P.); Older People Care, Waitemata DHB, Auckland, New Zealand (Y.R.); Health Intelligence, Ministry of Health, Wellington, New Zealand (M.T.); Joinville Stroke Register, University of Joinville Region, Joinville, Brazil (N.C.); Hospital de Clinicas de Porto Alegre, Hospital Moinhos de Vento, Ministry of Health, Brazil (S.C.O.M.); Department of Neurology, Universidade Federal do Ceará, Sobral-Ceará, Brazil (L.E.T.A.F.); Stroke Foundation of Canada, Ottawa, Canada (P.L.); Department of Medicine and Health Policy, Management and Evaluation University of Toronto, Toronto, Canada (G.S.); Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, Dijon, France (M.G., Y.B.); Department of Neurology, Ruprecht Karl University Heidelberg, Heidelberg, Germany (W.H.); Janakpuri Super Speciality Hospital, New Delhi, India (M.M.M.); Department of Neurology, Christian Medical College, Ludhiana, Punjab, India (J.D.P.); Banarsidas Chandiwala Institute of Physiotherapy, Kalkaji, New Delhi, India (S.G.); All India Institute of Medical Sciences, New Delhi, India (V.P.); Stroke Foundation of Bengal, Kolkata, West Bengal, India (D.K.M.); Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan (Y.K.); UKM Medical Center, Kuala Lumpur, Malaysia (N.M.I., R.S.); School of Public Health, Fudan University, Shanghai, China (H.F.); Beijing Neurosurgical Institute, Beijing, China (W.W.); Capital Medical University, Beijing, China (L.L.); Institute of Automation, Beijing, China (Z.-G.H.); University Hospital of Coimbra, Coimbra, Portugal (A.F.G.); Serviço de Neurologia, Hospital de Santo Antóni, Portugal (M.C.); Research Center of Neurology, Moscow, Russia (Y.V., M.K., M.P.); University of Emirates, Abu-Dhabi, United Arab Emirates (M.S.); Department of Medicine, Monash University, Clayton, Victoria, Australia (A.G.T., D.C.); The Royal Melbourne Hospital (S.D.), Florey Institute of Neuroscience and Mental Health (G.D.), and Public Health (A.D.L.), University of Melbourne, Parkville, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (G.J.H.); Griffith University, Brisbane, Australia (A.M., E.K.); Center for Clinical Neurosciences, Danube University, Vienna, Austria (M.B.); Cairo University, Cairo, Egypt (F.A.-A.); Tel Aviv Sourasky Medical Center, Neurology Department, Tel-Aviv University, Tel-Aviv, Israel (N.M.B.); Stroke Unit, Perugia, Perugia, Italy (V.C.); HGZ 2, IMSS Aguascalientes, Aguascalientes, Mexico (J.M.M.-R.); Federal Medical Centre Abeokuta, Abeokuta, Nigeria (R.O.A.); Health Informatics Department, Saudi Electronic University, Saudi Arabia (N.F.B.D.); Department of Neurology, Lund University, Lund, Sweden (B.N.); Department of Epidemiology (S.S.) and Aging Research Center, Center for Alzheimer Research (M.K.), Karolinska Institutet, Stockholm, Sweden; Noncommunicable Diseases, World Health Organization, Geneva, Switzerland (S.M.); Erasmus University Medical Center, Rotterdam, The Netherlands (M.A.I., A.H., S.S.M.); Nuffield Department of Neuroscience, Oxford University, Oxford, United Kingdom (P.M.R.); Western General Hospital, Edinburgh, United Kingdom (P.S.); Department of Neurology, Imperial College NHS Trust, London, United Kingdom (R.S.); Department of Neurology, Miller School of Medicine, University of Miami (R.L.S.); Department of Neurology, SUNY Upstate Medical University, Syracuse, NY (A.C.); Division of Cardiology, Department of Medicine (G.A.R.), Institute for Health Metrics and Evaluation (G.A.R., M.M.-L., C.M.), University of Washington, Seattle; Emory University, Atlanta, GA (K.M.V.N.); Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Neurology, Mayo Clinic, Rochester, MN (D.W.); and Division of General Medicine, Columbia University Medical Center, NY (A.E.M.). , Rohit BhattacharjeeRohit Bhattacharjee From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies (V.L.F., R.K., R.B., P.P., A.T.), Faculty of Health and Environmental Sciences (P.H., M.A., E.R.), Information Technology (T.H.), Research and Innovation Office (M.P.), Knowledge Engineering and Discovery Research Institute (N.K.), Translation and Interpreting Department (I.C.), and Centre for Learing and Teaching (S.F.), Auckland University of Technology, Auckland, New Zealand; School of Psychology, University of Auckland, Auckland, New Zealand (S.B.-C.); Department of Neurology, University of Auckland, Auckland, New Zealand (P.A.B.); School of Public Health, University of Auckland, Auckland, New Zealand (B.A.); Department of Preventive and Social Medicine, Otago University, Dunedin, New Zealand (R.P.); Older People Care, Waitemata DHB, Auckland, New Zealand (Y.R.); Health Intelligence, Ministry of Health, Wellington, New Zealand (M.T.); Joinville Stroke Register, University of Joinville Region, Joinville, Brazil (N.C.); Hospital de Clinicas de Porto Alegre, Hospital Moinhos de Vento, Ministry of Health, Brazil (S.C.O.M.); Department of Neurology, Universidade Federal do Ceará, Sobral-Ceará, Brazil (L.E.T.A.F.); Stroke Foundation of Canada, Ottawa, Canada (P.L.); Department of Medicine and Health Policy, Management and Evaluation University of Toronto, Toronto, Canada (G.S.); Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, Dijon, France (M.G., Y.B.); Department of Neurology, Ruprecht Karl University Heidelberg, Heidelberg, Germany (W.H.); Janakpuri Super Speciality Hospital, New Delhi, India (M.M.M.); Department of Neurology, Christian Medical College, Ludhiana, Punjab, India (J.D.P.); Banarsidas Chandiwala Institute of Physiotherapy, Kalkaji, New Delhi, India (S.G.); All India Institute of Medical Sciences, New Delhi, India (V.P.); Stroke Foundation of Bengal, Kolkata, West Bengal, India (D.K.M.); Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan (Y.K.); UKM Medical Center, Kuala Lumpur, Malaysia (N.M.I., R.S.); School of Public Health, Fudan University, Shanghai, China (H.F.); Beijing Neurosurgical Institute, Beijing, China (W.W.); Capital Medical University, Beijing, China (L.L.); Institute of Automation, Beijing, China (Z.-G.H.); University Hospital of Coimbra, Coimbra, Portugal (A.F.G.); Serviço de Neurologia, Hospital de Santo Antóni, Portugal (M.C.); Research Center of Neurology, Moscow, Russia (Y.V., M.K., M.P.); University of Emirates, Abu-Dhabi, United Arab Emirates (M.S.); Department of Medicine, Monash University, Clayton, Victoria, Australia (A.G.T., D.C.); The Royal Melbourne Hospital (S.D.), Florey Institute of Neuroscience and Mental Health (G.D.), and Public Health (A.D.L.), University of Melbourne, Parkville, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (G.J.H.); Griffith University, Brisbane, Australia (A.M., E.K.); Center for Clinical Neurosciences, Danube University, Vienna, Austria (M.B.); Cairo University, Cairo, Egypt (F.A.-A.); Tel Aviv Sourasky Medical Center, Neurology Department, Tel-Aviv University, Tel-Aviv, Israel (N.M.B.); Stroke Unit, Perugia, Perugia, Italy (V.C.); HGZ 2, IMSS Aguascalientes, Aguascalientes, Mexico (J.M.M.-R.); Federal Medical Centre Abeokuta, Abeokuta, Nigeria (R.O.A.); Health Informatics Department, Saudi Electronic University, Saudi Arabia (N.F.B.D.); Department of Neurology, Lund University, Lund, Sweden (B.N.); Department of Epidemiology (S.S.) and Aging Research Center, Center for Alzheimer Research (M.K.), Karolinska Institutet, Stockholm, Sweden; Noncommunicable Diseases, World Health Organization, Geneva, Switzerland (S.M.); Erasmus University Medical Center, Rotterdam, The Netherlands (M.A.I., A.H., S.S.M.); Nuffield Department of Neuroscience, Oxford University, Oxford, United Kingdom (P.M.R.); Western General Hospital, Edinburgh, United Kingdom (P.S.); Department of Neurology, Imperial College NHS Trust, London, United Kingdom (R.S.); Department of Neurology, Miller School of Medicine, University of Miami (R.L.S.); Department of Neurology, SUNY Upstate Medical University, Syracuse, NY (A.C.); Division of Cardiology, Department of Medicine (G.A.R.), Institute for Health Metrics and Evaluation (G.A.R., M.M.-L., C.M.), University of Washington, Seattle; Emory University, Atlanta, GA (K.M.V.N.); Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Neurology, Mayo Clinic, Rochester, MN (D.W.); and Division of General Medicine, Columbia University Medical Center, NY (A.E.M.). , Priya ParmarPriya Parmar From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies (V.L.F., R.K., R.B., P.P., A.T.), Faculty of Health and Environmental Sciences (P.H., M.A., E.R.), Information Technology (T.H.), Research and Innovation Office (M.P.), Knowledge Engineering and Discovery Research Institute (N.K.), Translation and Interpreting Department (I.C.), and Centre for Learing and Teaching (S.F.), Auckland University of Technology, Auckland, New Zealand; School of Psychology, University of Auckland, Auckland, New Zealand (S.B.-C.); Department of Neurology, University of Auckland, Auckland, New Zealand (P.A.B.); School of Public Health, University of Auckland, Auckland, New Zealand (B.A.); Department of Preventive and Social Medicine, Otago University, Dunedin, New Zealand (R.P.); Older People Care, Waitemata DHB, Auckland, New Zealand (Y.R.); Health Intelligence, Ministry of Health, Wellington, New Zealand (M.T.); Joinville Stroke Register, University of Joinville Region, Joinville, Brazil (N.C.); Hospital de Clinicas de Porto Alegre, Hospital Moinhos de Vento, Ministry of Health, Brazil (S.C.O.M.); Department of Neurology, Universidade Federal do Ceará, Sobral-Ceará, Brazil (L.E.T.A.F.); Stroke Foundation of Canada, Ottawa, Canada (P.L.); Department of Medicine and Health Policy, Management and Evaluation University of Toronto, Toronto, Canada (G.S.); Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, Dijon, France (M.G., Y.B.); Department of Neurology, Ruprecht Karl University Heidelberg, Heidelberg, Germany (W.H.); Janakpuri Super Speciality Hospital, New Delhi, India (M.M.M.); Department of Neurology, Christian Medical College, Ludhiana, Punjab, India (J.D.P.); Banarsidas Chandiwala Institute of Physiotherapy, Kalkaji, New Delhi, India (S.G.); All India Institute of Medical Sciences, New Delhi, India (V.P.); Stroke Foundation of Bengal, Kolkata, West Bengal, India (D.K.M.); Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan (Y.K.); UKM Medical Center, Kuala Lumpur, Malaysia (N.M.I., R.S.); School of Public Health, Fudan University, Shanghai, China (H.F.); Beijing Neurosurgical Institute, Beijing, China (W.W.); Capital Medical University, Beijing, China (L.L.); Institute of Automation, Beijing, China (Z.-G.H.); University Hospital of Coimbra, Coimbra, Portugal (A.F.G.); Serviço de Neurologia, Hospital de Santo Antóni, Portugal (M.C.); Research Center of Neurology, Moscow, Russia (Y.V., M.K., M.P.); University of Emirates, Abu-Dhabi, United Arab Emirates (M.S.); Department of Medicine, Monash University, Clayton, Victoria, Australia (A.G.T., D.C.); The Royal Melbourne Hospital (S.D.), Florey Institute of Neuroscience and Mental Health (G.D.), and Public Health (A.D.L.), University of Melbourne, Parkville, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (G.J.H.); Griffith University, Brisbane, Australia (A.M., E.K.); Center for Clinical Neurosciences, Danube University, Vienna, Austria (M.B.); Cairo University, Cairo, Egypt (F.A.-A.); Tel Aviv Sourasky Medical Center, Neurology Department, Tel-Aviv University, Tel-Aviv, Israel (N.M.B.); Stroke Unit, Perugia, Perugia, Italy (V.C.); HGZ 2, IMSS Aguascalientes, Aguascalientes, Mexico (J.M.M.-R.); Federal Medical Centre Abeokuta, Abeokuta, Nigeria (R.O.A.); Health Informatics Department, Saudi Electronic University, Saudi Arabia (N.F.B.D.); Department of Neurology, Lund University, Lund, Sweden (B.N.); Department of Epidemiology (S.S.) and Aging Research Center, Center for Alzheimer Research (M.K.), Karolinska Institutet, Stockholm, Sweden; Noncommunicable Diseases, World Health Organization, Geneva, Switzerland (S.M.); Erasmus University Medical Center, Rotterdam, The Netherlands (M.A.I., A.H., S.S.M.); Nuffield Department of Neuroscience, Oxford University, Oxford, United Kingdom (P.M.R.); Western General Hospital, Edinburgh, United Kingdom (P.S.); Department of Neurology, Imperial College NHS Trust, London, United Kingdom (R.S.); Department of Neurology, Miller School of Medicine, University of Miami (R.L.S.); Department of Neurology, SUNY Upstate Medical University, Syracuse, NY (A.C.); Division of Cardiology, Department of Medicine (G.A.R.), Institute for Health Metrics and Evaluation (G.A.R., M.M.-L., C.M.), University of Washington, Seattle; Emory University, Atlanta, GA (K.M.V.N.); Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Neurology, Mayo Clinic, Rochester, MN (D.W.); and Division of General Medicine, Columbia University Medical Center, NY (A.E.M.). , Alice TheadomAlice Theadom From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies (V.L.F., R.K., R.B., P.P., A.T.), Faculty of Health and Environmental Sciences (P.H., M.A., E.R.), Information Technology (T.H.), Research and Innovation Office (M.P.), Knowledge Engineering and Discovery Research Institute (N.K.), Translation and Interpreting Department (I.C.), and Centre for Learing and Teaching (S.F.), Auckland University of Technology, Auckland, New Zealand; School of Psychology, University of Auckland, Auckland, New Zealand (S.B.-C.); Department of Neurology, University of Auckland, Auckland, New Zealand (P.A.B.); School of Public Health, University of Auckland, Auckland, New Zealand (B.A.); Department of Preventive and Social Medicine, Otago University, Dunedin, New Zealand (R.P.); Older People Care, Waitemata DHB, Auckland, New Zealand (Y.R.); Health Intelligence, Ministry of Health, Wellington, New Zealand (M.T.); Joinville Stroke Register, University of Joinville Region, Joinville, Brazil (N.C.); Hospital de Clinicas de Porto Alegre, Hospital Moinhos de Vento, Ministry of Health, Brazil (S.C.O.M.); Department of Neurology, Universidade Federal do Ceará, Sobral-Ceará, Brazil (L.E.T.A.F.); Stroke Foundation of Canada, Ottawa, Canada (P.L.); Department of Medicine and Health Policy, Management and Evaluation University of Toronto, Toronto, Canada (G.S.); Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, Dijon, France (M.G., Y.B.); Department of Neurology, Ruprecht Karl University Heidelberg, Heidelberg, Germany (W.H.); Janakpuri Super Speciality Hospital, New Delhi, India (M.M.M.); Department of Neurology, Christian Medical College, Ludhiana, Punjab, India (J.D.P.); Banarsidas Chandiwala Institute of Physiotherapy, Kalkaji, New Delhi, India (S.G.); All India Institute of Medical Sciences, New Delhi, India (V.P.); Stroke Foundation of Bengal, Kolkata, West Bengal, India (D.K.M.); Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan (Y.K.); UKM Medical Center, Kuala Lumpur, Malaysia (N.M.I., R.S.); School of Public Health, Fudan University, Shanghai, China (H.F.); Beijing Neurosurgical Institute, Beijing, China (W.W.); Capital Medical University, Beijing, China (L.L.); Institute of Automation, Beijing, China (Z.-G.H.); University Hospital of Coimbra, Coimbra, Portugal (A.F.G.); Serviço de Neurologia, Hospital de Santo Antóni, Portugal (M.C.); Research Center of Neurology, Moscow, Russia (Y.V., M.K., M.P.); University of Emirates, Abu-Dhabi, United Arab Emirates (M.S.); Department of Medicine, Monash University, Clayton, Victoria, Australia (A.G.T., D.C.); The Royal Melbourne Hospital (S.D.), Florey Institute of Neuroscience and Mental Health (G.D.), and Public Health (A.D.L.), University of Melbourne, Parkville, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (G.J.H.); Griffith University, Brisbane, Australia (A.M., E.K.); Center for Clinical Neurosciences, Danube University, Vienna, Austria (M.B.); Cairo University, Cairo, Egypt (F.A.-A.); Tel Aviv Sourasky Medical Center, Neurology Department, Tel-Aviv University, Tel-Aviv, Israel (N.M.B.); Stroke Unit, Perugia, Perugia, Italy (V.C.); HGZ 2, IMSS Aguascalientes, Aguascalientes, Mexico (J.M.M.-R.); Federal Medical Centre Abeokuta, Abeokuta, Nigeria (R.O.A.); Health Informatics Department, Saudi Electronic University, Saudi Arabia (N.F.B.D.); Department of Neurology, Lund University, Lund, Sweden (B.N.); Department of Epidemiology (S.S.) and Aging Research Center, Center for Alzheimer Research (M.K.), Karolinska Institutet, Stockholm, Sweden; Noncommunicable Diseases, World Health Organization, Geneva, Switzerland (S.M.); Erasmus University Medical Center, Rotterdam, The Netherlands (M.A.I., A.H., S.S.M.); Nuffield Department of Neuroscience, Oxford University, Oxford, United Kingdom (P.M.R.); Western General Hospital, Edinburgh, United Kingdom (P.S.); Department of Neurology, Imperial College NHS Trust, London, United Kingdom (R.S.); Department of Neurology, Miller School of Medicine, University of Miami (R.L.S.); Department of Neurology, SUNY Upstate Medical University, Syracuse, NY (A.C.); Division of Cardiology, Department of Medicine (G.A.R.), Institute for Health Metrics and Evaluation (G.A.R., M.M.-L., C.M.), University of Washington, Seattle; Emory University, Atlanta, GA (K.M.V.N.); Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Neurology, Mayo Clinic, Rochester, MN (D.W.); and Division of General Medicine, Columbia University Medical Center, NY (A.E.M.). , Tasleem HusseinTasleem Hussein From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies (V.L.F., R.K., R.B., P.P., A.T.), Faculty of Health and Environmental Sciences (P.H., M.A., E.R.), Information Technology (T.H.), Research and Innovation Office (M.P.), Knowledge Engineering and Discovery Research Institute (N.K.), Translation and Interpreting Department (I.C.), and Centre for Learing and Teaching (S.F.), Auckland University of Technology, Auckland, New Zealand; School of Psychology, University of Auckland, Auckland, New Zealand (S.B.-C.); Department of Neurology, University of Auckland, Auckland, New Zealand (P.A.B.); School of Public Health, University of Auckland, Auckland, New Zealand (B.A.); Department of Preventive and Social Medicine, Otago University, Dunedin, New Zealand (R.P.); Older People Care, Waitemata DHB, Auckland, New Zealand (Y.R.); Health Intelligence, Ministry of Health, Wellington, New Zealand (M.T.); Joinville Stroke Register, University of Joinville Region, Joinville, Brazil (N.C.); Hospital de Clinicas de Porto Alegre, Hospital Moinhos de Vento, Ministry of Health, Brazil (S.C.O.M.); Department of Neurology, Universidade Federal do Ceará, Sobral-Ceará, Brazil (L.E.T.A.F.); Stroke Foundation of Canada, Ottawa, Canada (P.L.); Department of Medicine and Health Policy, Management and Evaluation University of Toronto, Toronto, Canada (G.S.); Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, Dijon, France (M.G., Y.B.); Department of Neurology, Ruprecht Karl University Heidelberg, Heidelberg, Germany (W.H.); Janakpuri Super Speciality Hospital, New Delhi, India (M.M.M.); Department of Neurology, Christian Medical College, Ludhiana, Punjab, India (J.D.P.); Banarsidas Chandiwala Institute of Physiotherapy, Kalkaji, New Delhi, India (S.G.); All India Institute of Medical Sciences, New Delhi, India (V.P.); Stroke Foundation of Bengal, Kolkata, West Bengal, India (D.K.M.); Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan (Y.K.); UKM Medical Center, Kuala Lumpur, Malaysia (N.M.I., R.S.); School of Public Health, Fudan University, Shanghai, China (H.F.); Beijing Neurosurgical Institute, Beijing, China (W.W.); Capital Medical University, Beijing, China (L.L.); Institute of Automation, Beijing, China (Z.-G.H.); University Hospital of Coimbra, Coimbra, Portugal (A.F.G.); Serviço de Neurologia, Hospital de Santo Antóni, Portugal (M.C.); Research Center of Neurology, Moscow, Russia (Y.V., M.K., M.P.); University of Emirates, Abu-Dhabi, United Arab Emirates (M.S.); Department of Medicine, Monash University, Clayton, Victoria, Australia (A.G.T., D.C.); The Royal Melbourne Hospital (S.D.), Florey Institute of Neuroscience and Mental Health (G.D.), and Public Health (A.D.L.), University of Melbourne, Parkville, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (G.J.H.); Griffith University, Brisbane, Australia (A.M., E.K.); Center for Clinical Neurosciences, Danube University, Vienna, Austria (M.B.); Cairo University, Cairo, Egypt (F.A.-A.); Tel Aviv Sourasky Medical Center, Neurology Department, Tel-Aviv University, Tel-Aviv, Israel (N.M.B.); Stroke Unit, Perugia, Perugia, Italy (V.C.); HGZ 2, IMSS Aguascalientes, Aguascalientes, Mexico (J.M.M.-R.); Federal Medical Centre Abeokuta,

RESUMO: Objetivo: Analisar as variações e os diferenciais da mortalidade por doenças cardiovasculares (DCV) no Brasil e em seus estados, em 1990 e 2015. Métodos: Foram utilizados os dados de mortalidade compilados pelo Global Burden of Disease (GBD) 2015, obtidos da base de dados do Sistema de Informação sobre Mortalidade do Ministério da Saúde. Foram realizadas a correção do sub-registro de óbitos e a reclassificação dos códigos garbage por meio de algoritmos específicos. As causas cardiovasculares foram subdivididas em 10 causas específicas. As taxas de mortalidade - dos anos 1990 e 2015 - foram padronizadas pela idade, de acordo com o sexo e o estado brasileiro. Resultados: A taxa de mortalidade por DCV padronizada por idade caiu de 429,5 (1990) para 256,0 (2015) a cada 100 mil habitantes (40,4%). A redução proporcional foi semelhante em ambos os sexos, mas as taxas em homens são substancialmente mais altas do que nas mulheres. A redução da taxa padronizada por idade foi mais acentuada para a doença cardíaca reumática (44,5%), cardiopatia isquêmica (43,9%) e doença cerebrovascular (46,0%). A queda na mortalidade diferiu marcadamente entre os estados, sendo mais acentuada nos estados das regiões Sudeste e Sul do país e no Distrito Federal, e atenuada nos estados do Norte e Nordeste. Conclusão: A mortalidade por DCV padronizada por idade reduziu no Brasil nas últimas décadas, porém de forma heterogênea entre os estados e para diferentes causas específicas. Considerando a magnitude da carga de doença e o envelhecimento da população brasileira, as políticas de enfrentamento das DCV devem ser priorizadas.

HomeCirculation: Cardiovascular Quality and OutcomesVol. 8, No. 4Ischemic Heart Disease Worldwide, 1990 to 2013 Free AccessResearch ArticlePDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessResearch ArticlePDF/EPUBIschemic Heart Disease Worldwide, 1990 to 2013Estimates From the Global Burden of Disease Study 2013 Dawn Shepard, BA, Amelia VanderZanden, MSc, Andrew Moran, MD, MPH, Mohsen Naghavi, MD, PhD, Christopher Murray, MD, DPhil and Gregory Roth, MD, MPH Dawn ShepardDawn Shepard From the Institute for Health Metrics and Evaluation (D.S., A.V., M.N., C.M., G.R.) and Division of General Medicine, Columbia University Medical Center (A.M.), University of Washington, Seattle. Search for more papers by this author , Amelia VanderZandenAmelia VanderZanden From the Institute for Health Metrics and Evaluation (D.S., A.V., M.N., C.M., G.R.) and Division of General Medicine, Columbia University Medical Center (A.M.), University of Washington, Seattle. Search for more papers by this author , Andrew MoranAndrew Moran From the Institute for Health Metrics and Evaluation (D.S., A.V., M.N., C.M., G.R.) and Division of General Medicine, Columbia University Medical Center (A.M.), University of Washington, Seattle. Search for more papers by this author , Mohsen NaghaviMohsen Naghavi From the Institute for Health Metrics and Evaluation (D.S., A.V., M.N., C.M., G.R.) and Division of General Medicine, Columbia University Medical Center (A.M.), University of Washington, Seattle. Search for more papers by this author , Christopher MurrayChristopher Murray From the Institute for Health Metrics and Evaluation (D.S., A.V., M.N., C.M., G.R.) and Division of General Medicine, Columbia University Medical Center (A.M.), University of Washington, Seattle. Search for more papers by this author and Gregory RothGregory Roth From the Institute for Health Metrics and Evaluation (D.S., A.V., M.N., C.M., G.R.) and Division of General Medicine, Columbia University Medical Center (A.M.), University of Washington, Seattle. Search for more papers by this author Originally published1 Jul 2015https://doi.org/10.1161/CIRCOUTCOMES.115.002007Circulation: Cardiovascular Quality and Outcomes. 2015;8:455–456Other version(s) of this articleYou are viewing the most recent version of this article. Previous versions: January 1, 2015: Previous Version 1 Ischemic heart disease (IHD) was responsible for 8.1 million deaths in 2013 (95% uncertainty interval, 7.3–8.8 million), the most recent year estimated, which was 14.8% of deaths worldwide (95% uncertainty interval, 13.4%–15.8%). IHD was the leading cause of death globally among men and women in both 1990 and 2013. In 2013, it was responsible for nearly half of all deaths from cardiovascular disease, causing as many deaths as chronic obstructive pulmonary disease, diabetes mellitus, cirrhosis, lung cancer, and liver cancer combined. There was an increase of 42% (95% uncertainty interval, 36%–48%) in the number of IHD deaths since 1990. The number of men dying from IHD was consistently higher than the number of women during this time period, and there was a larger relative increase in IHD deaths among men than among women. However, IHD is responsible for a slightly higher percentage of deaths among women than among men (15.3% versus 14.4%) because of significantly more IHD deaths among women aged ≥80 years.The countries reporting the highest age-standardized rates of IHD mortality are primarily in Central Asia and Eastern Europe, but countries in South Asia have seen substantial increases in age-standardized IHD mortality rates during the past 2 decades. In marked contrast, high-income countries have reported sharp decreases in age-standardized mortality rates. High-income regions saw decline in mortality rates by as much as ≥50% between 1990 and 2013 and now account for some of the lowest IHD mortality rates in the world. Age-standardized death rates are also lower in most of sub-Saharan Africa; however, much of this region saw one of the highest relative increases in age-standardized mortality between 1990 and 2013. At the country level, the upper and lower extremes of IHD mortality rates vary by an order of magnitude: in Belarus, age-standardized mortality rates among men exceeded 600 per 100 000 in 2013; however, women in Japan had a mortality rate of 31 per 100 000 in 2013.MethodThe Global Burden of Disease Study 2013 produced consistent measures of death by age and sex for 188 countries for the years 1990 to 2013 for 240 causes of death. Detailed methods and results have been reported.1 Briefly, all available data on mortality were collected, including data from vital registration and verbal autopsy. Nonspecific conditions reported as underlying causes of death were redistributed using statistical methods or expert opinion. Versions of death coding were mapped to a uniform system. Ensemble modeling was used to estimate cause-specific mortality using death data and country-level covariates. Out-of-sample validity testing was performed for each cause-specific model, and uncertainty was estimated by taking 1000 draws from the posterior distribution of the ensemble model, with point estimates taken as the median value. Cause-specific death was adjusted to fit the envelope of global all-cause mortality. In this visualization, we restricted country-level estimates to those countries which produce vital registration or verbal autopsy data. The Figure is created with Adobe Illustrator.Download figureDownload PowerPointFigure. Ischemic heart disease (IHD) worldwide, 1990 to 2013, from the Global Burden of Disease Study (GBD) 2013. Source: Institute for Health Metrics and Evaluation.Sources of FundingThis study was supported by the Bill and Melinda Gates Foundation.DisclosuresNone.FootnotesCorrespondence to Gregory Roth, MD, MPH, Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA 98121. E-mail [email protected]References1. 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Guideline-directed medical therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF) is recommended before primary prevention implantable cardioverter-defibrillator (ICD) placement. Adherence to this recommendation and associated outcomes are unknown. This study examined the use of GDMT (≥1 prescription filled for both a renin-angiotensin inhibitor [RAI] and a heart failure–approved beta-blocker [HFBB]) within 90 days before primary prevention ICD placement in patients with HFrEF. Data from the National Cardiovascular Data Registry ICD Registry were merged with a 40% random sample of Medicare administrative data. Prescription fills for recipients of primary prevention ICD between 2007 and 2011 were examined, analyzing GDMT overall and for each U.S. hospital referral region. We identified characteristics associated with GDMT and the association with 1-year mortality. Among 19,733 patients with HFrEF and primary prevention ICD, 61.1% filled any GDMT before implantation. Across hospital referral regions, GDMT was applied in 51% to 71%. The strongest predictors of any GDMT included absence of chronic renal disease or nonsustained ventricular tachycardia, low-income prescription benefits subsidy, and less recent left ventricular ejection fraction evaluation. Patients receiving GDMT versus those without had a lower 1-year mortality rate after ICD implantation (11.1% vs. 16.2%), even after adjustment for comorbidities, left ventricular ejection fraction, and functional heart failure class. Rates of GDMT for HFrEF before primary prevention ICD implantation were low, and failure to achieve GDMT was associated with significantly decreased 1-year survival.

Background: Portuguese-speaking countries (PSC) share the influence of the Portuguese culture but have socioeconomic development patterns that differ from that of Portugal. Objective: To describe trends in cardiovascular disease (CVD) morbidity and mortality in the PSC between 1990 and 2016, stratified by sex, and their association with the respective sociodemographic indexes (SDI). Methods: This study used the Global Burden of Disease (GBD) 2016 data and methodology. Data collection followed international standards for death certification, through information systems on vital statistics and mortality surveillance, surveys, and hospital registries. Techniques were used to standardize causes of death by the direct method, as were corrections for underreporting of deaths and garbage codes. To determine the number of deaths due to each cause, the CODEm (Cause of Death Ensemble Model) algorithm was applied. Disability-adjusted life years (DALYs) and SDI (income per capita, educational attainment and total fertility rate) were estimated for each country. A p-value <0.05 was considered significant. Results: There are large differences, mainly related to socioeconomic conditions, in the relative impact of CVD burden in PSC. Among CVD, ischemic heart disease was the leading cause of death in all PSC in 2016, except for Mozambique and Sao Tome and Principe, where cerebrovascular diseases have supplanted it. The most relevant attributable risk factors for CVD among all PSC are hypertension and dietary factors. Conclusion: Collaboration among PSC may allow successful experiences in combating CVD to be shared between those countries.

Abstract In Ethiopia, evidence on the national burden of cardiovascular diseases (CVDs) is limited. To address this gap, this systematic analysis estimated the burden of CVDs in Ethiopia using the Global Burden of Disease (GBD) 2017 study data. The age-standardized CVD prevalence, disability-adjusted life years (DALYs) and mortality rates in Ethiopia were 5534 (95% uncertainty interval [UI] 5310.09 - 5774.0), 3549.6 (95% UI 3229.0 - 3911.9) and 182.63 (95% UI 165.49 - 203.9) per 100 000 population, respectively. Compared with 1990, the age-standardized CVD prevalence rate in 2017 showed no change. But significant reductions were observed in CVD mortality (54.7%), CVD DALYs (57.7%) and all-cause mortality (53.4%). The top three prevalent CVDs were ischaemic heart disease, rheumatic heart disease and stroke in descending order. The reduction in the mortality rate due to CVDs is slower than for communicable, maternal, neonatal and nutritional disease mortalities. As a result, CVDs are the leading cause of mortality in Ethiopia. These findings urge Ethiopia to consider CVDs as a priority public health problem.

An exhaustive and updated estimation of cardiovascular disease burden and vascular risk factors is still lacking in European countries. This study aims to fill this gap assessing the global Italian cardiovascular disease burden and its changes from 1990 to 2017 and comparing the Italian situation with European countries.All accessible data sources from the 2017 Global Burden of Disease study were used to estimate the cardiovascular disease prevalence, mortality and disability-adjusted life years and cardiovascular disease attributable risk factors burden in Italy from 1990 to 2017. Furthermore, we compared the cardiovascular disease burden within the 28 European Union countries.Since 1990, we observed a significant decrease of cardiovascular disease burden, particularly in the age-standardised prevalence (-12.7%), mortality rate (-53.8%), and disability-adjusted life years rate (-55.5%). Similar improvements were observed in the majority of European countries. However, we found an increase in all-ages prevalence of cardiovascular diseases from 5.75 m to 7.49 m Italian residents. Cardiovascular diseases still remain the first cause of death (34.8% of total mortality). More than 80% of the cardiovascular disease burden could be attributed to known modifiable risk factors such as high systolic blood pressure, dietary risks, high low density lipoprotein cholesterol, and impaired kidney function.Our study shows a decline in cardiovascular mortality and disability-adjusted life years, which reflects the success in reducing disability, premature death and early incidence of cardiovascular diseases. However, the burden of cardiovascular diseases is still high. An approach that includes the cooperation and coordination of all stakeholders of the Italian National Health System is required to further reduce this burden.

Pulmonary arterial hypertension (PAH) is characterized by increased resistance in the pulmonary arterioles as a result of remodeled blood vessels. We sought all available epidemiologic data on population-based prevalence, incidence, and 1-year survival of PAH as part of the Global Burden of Disease Study. We performed a systematic review searching Global Index Medicus (GIM) for keywords related to PAH between 1980 and 2021 and identified population-representative sources of prevalence, incidence, and mortality for clinically diagnosed PAH. Of 6772 articles identified we found 65 with population-level data: 17 for prevalence, 17 for incidence, and 58 reporting case fatality. Reported prevalence ranged from 0.37 cases/100,000 persons in a referral center of French children to 15 cases/100,000 persons in an Australian study. Reported incidence ranged from 0.008 cases/100,000 person-years in Finland, to 1.4 cases/100,000 person-years in a retrospective chart review at a clinic in Utah, United States. Reported 1-year survival ranged from 67% to 99%. All studies with sex-specific estimates of prevalence or incidence reported higher levels in females than males. Studies varied in their size, study design, diagnostic criteria, and sampling procedures. Reported PAH prevalence, incidence, and mortality varied by location and study. Prevalence ranged from 0.4 to 1.4 per 100,000 persons. Harmonization of methods for PAH registries would improve efforts at disease surveillance. Results of this search contribute to ongoing efforts to quantify the global burden of PAH.

Influenza virus infection is associated with incident ischemic heart disease (IHD) events. Here, we estimate the global, regional, and national IHD mortality burden attributable to influenza.We used vital registration data from deaths in adults ≥50 years (13.2 million IHD deaths as underlying cause) to assess the relationship between influenza activity and IHD mortality in a non-linear meta-regression framework from 2010 to 2019. This derived relationship was then used to estimate the global influenza attributable IHD mortality. We estimated the population attributable fraction (PAF) of influenza for IHD deaths based on the relative risk associated with a given level of weekly influenza test positivity rate and multiplied PAFs by IHD mortality from the Global Burden of Disease study.Influenza activity was associated with increased risk of IHD mortality across all countries analyzed. The mean PAF of influenza for IHD mortality was 3.9% (95% uncertainty interval [UI] 2.5-5.3%), ranging from <1% to 10%, depending on country and year. Globally, 299,858 IHD deaths (95% UI 191,216-406,809) in adults ≥50 years could be attributed to influenza, with the highest rates per 100,000 population in the Central Europe, Eastern Europe and Central Asia Region (32.3; 95% UI 20.6-43.8), and in the North Africa and Middle East Region (26.7; 95% UI 17-36.2).Influenza may contribute substantially to the burden of IHD. Our results suggest that if there were no influenza, an average of 4% of IHD deaths globally would not occur.Collaborative study funded by Sanofi Vaccines.

Epidemiological data about stroke are scarce in low- and middle-income Latin-American countries. We investigated annual incidence of first-ever stroke and transient ischemic attack (TIA) and 30-day case-fatality rates in a population-based setting in Tandil, Argentina.We prospectively identified all first-ever stroke and TIA cases from overlapping sources between January 5, 2013, and April 30, 2015, in Tandil, Argentina. We calculated crude and standardized incidence rates. We estimated 30-day case-fatality rates.We identified 334 first-ever strokes and 108 TIAs. Age-standardized incidence rate per 100 000 for Segi's World population was 76.5 (95% confidence interval [CI], 67.8-85.9) for first-ever stroke and 25.1 (95% CI, 20.2-30.7) for first-ever TIA, 56.1 (95% CI, 48.8-64.2) for ischemic stroke, 13.5 (95% CI, 9.9-17.9) for intracerebral hemorrhage, and 4.9 (95% CI, 2.7-8.1) for subarachnoid hemorrhage. Stroke incidence was slightly higher for men (87.8; 95% CI, 74.6-102.6) than for women (73.2; 95% CI, 61.7-86.1) when standardized for the Argentinean population. Thirty-day case-fatality rate was 14.7% (95% CI, 10.8-19.5) for ischemic stroke, 24.1% (95% CI, 14.2-36.6) for intracerebral hemorrhage, and 1.9% (95% CI, 0.4-5.8) for TIA.This study provides the first prospective population-based stroke and TIA incidence and case-fatality estimate in Argentina. First-ever stroke incidence was lower than that reported in previous Latin-American studies, but first-ever TIA incidence was higher. Thirty-day case-fatality rates were similar to those of other population-based Latin-American studies.

Introduction As non-communicable disease (NCD) burden rises worldwide, community-based programmes are a promising strategy to bridge gaps in NCD care. The HealthRise programme sought to improve hypertension and diabetes management for underserved communities in nine sites across Brazil, India, South Africa and the USA between 2016 and 2018. This study presents findings from the programme’s endline evaluation. Methods The evaluation utilises a mixed-methods quasi-experimental design. Process indicators assess programme implementation; quantitative data examine patients’ biometric measures and qualitative data characterise programme successes and challenges. Programme impact was assessed using the percentage of patients meeting blood pressure and A1c treatment targets and tracking changes in these measures over time. Results Almost 60 000 screenings, most of them in India, resulted in 1464 new hypertension and 295 new diabetes cases across sites. In Brazil, patients exhibited statistically significant reductions in blood pressure and A1c. In Shimla, India, and in South Africa, country with the shortest implementation period, there were no differences between patients served by facilities in HealthRise areas relative to comparison areas. Among participating patients with diabetes in Hennepin and Ramsey counties and hypertension patients in Hennepin County, the percentage of HealthRise patients meeting treatment targets at endline was significantly higher relative to comparison group patients. Qualitative analysis identified linking different providers, services, communities and information systems as positive HealthRise attributes. Gaps in health system capacities and sociodemographic factors, including poverty, low levels of health education and limited access to nutritious food, are remaining challenges. Conclusions Findings from Brazil and the USA indicate that the HealthRise model has the potential to improve patient outcomes. Short implementation periods and strong emphasis on screening may have contributed to the lack of detectable differences in other sites. Community-based care cannot deliver its full potential if sociodemographic and health system barriers are not addressed in tandem.

BackgroundHypertensive heart disease (HHD), one of the end-organ damage consequences of hypertension, is an important public health issue worldwide. Data on the HHD burden in the Eastern Mediterranean region (EMR) are scarce. We aimed to investigate the burden of HHD in the EMR, its member countries, and globally from 1990 to 2019.MethodsWe used 2019 Global Burden of Disease (GBD) data to report the HHD age-standardised prevalence, disability adjusted life years (DALYs), years of life lost (YLLs), and mortality, as well as HHD risk factors attribution percent with their 95% uncertainty interval (UI). Global data are reported alongside EMR data, and its 22 respective countries. We compared the burden of HHD by socio-demographic index (SDI), sex, age groups, and countries.FindingsThe age-standardised prevalence rate (per 100,000 population) of HHD was higher in the EMR (281.7; 95% UI: 204.5–383.4) in 2019, compared with the global prevalence (233.8; 95% UI: 170.5–312.9). The EMR age-standardised DALYs (per 100,000 population) for HHD in 2019 was 561.9 (361.0–704.1), compared with 268.2 (204.6–298.1) at the global level. There was an increase in HHD prevalence, reduction in mortality, and DALYs between 1990 and 2019 (4.01%, −7.6%, and −6.5%, respectively) in EMR. Among EMR countries, the highest versus lowest rates of age-standardised prevalence, mortality, and DALYs in 2019 [estimate (95% UI)] were in Jordan [561.62 (417.9–747.6)] versus Saudi Arabia [94.9 (69.5–129.0)]; Afghanistan [74.5 (23.7–112.3)] versus Saudi Arabia [4.3 (3.3–5.9)]; and Afghanistan [1374.1 (467.2–2020.7)] versus Qatar [87.11 (64.40–114.29)], respectively.InterpretationHHD remains a significant problem in the EMR, with a higher burden than global levels. Serious efforts toward high-quality management and prevention are strongly recommended. Based on this study, our recommendation for the EMR is to adopt effective preventive strategies. For example, promoting healthy dietary patterns and prompt screening for undiagnosed HTN in public places, promoting regular blood pressure measurements at home, and creating community awareness about early detection of HTN.FundingNone.

Chagas disease (ChD), a Neglected Tropical Disease, has witnessed a transformative epidemiological landscape characterized by a trend of reduction in prevalence, shifting modes of transmission, urbanization, and globalization. Historically a vector-borne disease in rural areas of Latin America, effective control measures have reduced the incidence in many countries, leading to a demographic shift where most affected individuals are now adults. However, challenges persist in regions like the Gran Chaco, and emerging oral transmission in the Amazon basin adds complexity. Urbanization and migration from rural to urban areas and to non-endemic countries, especially in Europe and the US, have redefined the disease's reach. These changing patterns contribute to uncertainties in estimating ChD prevalence, exacerbated by the lack of recent data, scarcity of surveys, and reliance on outdated models. Besides, ChD's lifelong natural history, marked by acute and chronic phases, introduces complexities in diagnosis, particularly in non-endemic regions where healthcare provider awareness is low. The temporal dissociation of infection and clinical manifestations, coupled with underreporting, has rendered ChD invisible in health statistics. Deaths attributed to ChD cardiomyopathy often go unrecognized, camouflaged under alternative causes. Understanding these challenges, the RAISE project aims to reassess the burden of ChD and ChD cardiomyopathy. The project is a collaborative effort of the World Heart Federation, Novartis Global Health, the University of Washington's Institute for Health Metrics and Evaluation, and a team of specialists coordinated by Brazil's Federal University of Minas Gerais. Employing a multidimensional strategy, the project seeks to refine estimates of ChD-related deaths, conduct systematic reviews on seroprevalence and prevalence of clinical forms, enhance existing modeling frameworks, and calculate the global economic burden, considering healthcare expenditures and service access. The RAISE project aspires to bridge knowledge gaps, raise awareness, and inform evidence-based health policies and research initiatives, positioning ChD prominently on the global health agenda.

Importance Stroke is a leading cause of death and disability in the US. Accurate and updated measures of stroke burden are needed to guide public health policies. Objective To present burden estimates of ischemic and hemorrhagic stroke in the US in 2019 and describe trends from 1990 to 2019 by age, sex, and geographic location. Design, Setting, and Participants An in-depth cross-sectional analysis of the 2019 Global Burden of Disease study was conducted. The setting included the time period of 1990 to 2019 in the US. The study encompassed estimates for various types of strokes, including all strokes, ischemic strokes, intracerebral hemorrhages (ICHs), and subarachnoid hemorrhages (SAHs). The 2019 Global Burden of Disease results were released on October 20, 2020. Exposures In this study, no particular exposure was specifically targeted. Main Outcomes and Measures The primary focus of this analysis centered on both overall and age-standardized estimates, stroke incidence, prevalence, mortality, and DALYs per 100 000 individuals. Results In 2019, the US recorded 7.09 million prevalent strokes (4.07 million women [57.4%]; 3.02 million men [42.6%]), with 5.87 million being ischemic strokes (82.7%). Prevalence also included 0.66 million ICHs and 0.85 million SAHs. Although the absolute numbers of stroke cases, mortality, and DALYs surged from 1990 to 2019, the age-standardized rates either declined or remained steady. Notably, hemorrhagic strokes manifested a substantial increase, especially in mortality, compared with ischemic strokes (incidence of ischemic stroke increased by 13% [95% uncertainty interval (UI), 14.2%-11.9%]; incidence of ICH increased by 39.8% [95% UI, 38.9%-39.7%]; incidence of SAH increased by 50.9% [95% UI, 49.2%-52.6%]). The downturn in stroke mortality plateaued in the recent decade. There was a discernible heterogeneity in stroke burden trends, with older adults (50-74 years) experiencing a decrease in incidence in coastal areas (decreases up to 3.9% in Vermont), in contrast to an uptick observed in younger demographics (15-49 years) in the South and Midwest US (with increases up to 8.4% in Minnesota). Conclusions and Relevance In this cross-sectional study, the declining age-standardized stroke rates over the past 3 decades suggest progress in managing stroke-related outcomes. However, the increasing absolute burden of stroke, coupled with a notable rise in hemorrhagic stroke, suggests an evolving and substantial public health challenge in the US. Moreover, the significant disparities in stroke burden trends across different age groups and geographic locations underscore the necessity for region- and demography-specific interventions and policies to effectively mitigate the multifaceted and escalating burden of stroke in the country.

The Global Burden of Disease (GBD) study is a long-standing effort to report consistent and comprehensive measures of disease burden for the world. In this paper, we describe the methods used to estimate the global burden of stroke for the GBD 2013 study. Pathologic subtypes of stroke are modeled separately for two mutually exclusive and exhaustive categories: (1) ischemic stroke and (2) hemorrhagic and other non-ischemic strokes. Acute and chronic strokes are estimated separately. The GBD 2013 study has incorporated large amounts of new data on stroke death rates, incidence and case fatality. Disease modeling methods have been updated to better integrate mortality and incidence data. Future efforts will focus on incorporating data on the regional variation in severity of disability. Stroke remains a new area for disease modeling. A better understanding of stroke incidence, mortality and severity, and how it varies among countries, can help guide priority setting and improve health policy related to this important condition.

Heart failure is a major cause of disease burden in sub-Saharan Africa (SSA). There is an urgent need for better strategies for heart failure management in this region. However, there is little information on the capacity to diagnose and treat heart failure in SSA. We aim to provide a better understanding of the capacity to diagnose and treat heart failure in Kenya and Uganda to inform policy planning and interventions.We analysed data from a nationally representative survey of health facilities in Kenya and Uganda (197 health facilities in Uganda and 143 in Kenya). We report on the availability of cardiac diagnostic technologies and select medications for heart failure (β-blockers, ACE inhibitors and furosemide). Facility-level data were analysed by country and platform type (hospital vs ambulatory facilities).Functional and staffed radiography, ultrasound and ECG were available in less than half of hospitals in Kenya and Uganda combined. Of the hospitals surveyed, 49% of Kenyan and 77% of Ugandan hospitals reported availability of the heart failure medication package. ACE inhibitors were only available in 51% of Kenyan and 79% of Ugandan hospitals. Almost one-third of the hospitals in each country had a stock-out of at least one of the medication classes in the prior quarter.Few facilities in Kenya and Uganda were prepared to diagnose and manage heart failure. Medication shortages and stock-outs were common. Our findings call for increased investment in cardiac care to reduce the growing burden of heart failure.

Increasing attention is being paid to the marked disparities in diabetes prevalence and health outcomes in the United States. There is a need to identify the small-area geographic variation in diabetes risk and related outcomes, a task that current health surveillance methods, which often rely on a self-reported diagnosis of diabetes, are not detailed enough to achieve. Broad adoption of electronic health records (EHR) and routine centralized reporting of patient-level data offers a new way to examine diabetes risk and highlight hotspots for intervention.We examined small-area geographic variation in hemoglobin A1c (HgbA1C) levels in three counties though a retrospective observational analysis of the complete population of diabetic patients receiving at least two ambulatory care visits for diabetes in three counties (two urban, one rural) in Minnesota in 2013, with clinical performance measures re-aggregated to patient home zip code area. Patient level performance measures included HgbA1c, blood pressure, low-density lipoprotein cholesterol and smoking. Diabetes care was provided to 63,053 patients out of a total population of 1.48 million people aged 18-74. Within each zip code area, on average 4.1% of the population received care for diabetes. There was significant and largely consistent geographic variation in the proportion of patients within their zip code area of residence attaining HgbA1C <8.0%, ranging from 59-90% of patients within each zip code area (interquartile range (IQR) 72.0%-78.1%). Attainment of performance measures for a zip code area were correlated with household income, educational attainment and insurance coverage for the same zip code area (all p < .001).We identified small geographic areas with the least effective control of diabetes. Centrally-aggregated EHR provides a new means of identifying and targeting at-risk neighborhoods for community-based interventions.