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Comparison of High Range and Low Range of Sensor eAG and 24-Hour Daily GF Using 3+ years of Continuous Glucose Monitoring Sensor Device Collected Data Based on GH-Method: Math-Physical Medicine (No. 458)

Economic growth
Range (aeronautics)
Since 5/5/2018, the author utilized a continuous glucose monitoring (CGM) sensor device to collect his glucoses 96 times each day. He then calculates his average daily sensor glucoses (eAG) and sensor glucose fluctuation (GF) within a 24-hour period each. His GF is defined as the maximum glucose value minus the minimum glucose value within a day. The definition of “eAG” is the mean value of glucose data that is similar to HbA1C which is useful in diabetes control. Moreover, the glucose excursion or GF has noticeable influences on various diabetes complications. During the period of 1,218 days from 5/5/2018 through 5/31/2021, he has collected a total of 116,928 glucose data. With this big data accumulated for over 3+ years and stored on a cloud server, it is easily for him to study and observe the overall glucose changes from day to day along with the phenomenon of his daily GF changes. During the past decade, the medical community has used the term “glycemic variability (GV)” to describe the glucose excursion which involves some questionable definitions of mathematical equations with less-quantitative and somewhat inconclusive findings. It is the author’s belief that the word “variability” could mean many things to different people; therefore, he decides to apply the basic concept of glucose excursion (fluctuation) without using the defined GV equation. This will allow him to have a better understanding and achieve a deeper appreciation for the important biophysical phenomenon of “glucose fluctuation”. Many research publications have covered the importance and impact of GV or GF on diabetic macro-vascular and microvascular complications (References 16 and 17). In those publications, it has defined and “qualitatively proven” that GF does impact the macro-vascular system, including the heart and brain, as well as the micro-vascular system such as kidneys, feet, eyes, nerves, etc. This particular report adopts the author’s developed GH-Method: math-physical medicine to seek more quantitatively described results. Hopefully, it can provide a different but still accurate enough description to complement those using biochemical medicine interpretations of glucose and glucose fluctuations.

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