Abstract

In this article, the author investigates the risk differences of having cardiovascular disease (CVD) or stroke over six equallength periods (~180 days for each period) and twelve equal-length periods (~90 days for each period) using both metabolism index (MI) and glucose fluctuations (GF). Through the introduction of GF influential factor into his developed risk assessment method, physical and engineering modeling, and mathematical equations, he is able to calculate the risk probability of having severe diabetes related complications, especially for macro-vascular (arteries) diseases, such as CVD and stroke. The author included a few excepts from other research papers regarding the subject of glycemic variability (GV) and the reason he adopts GF instead of using GV in his research work due to GF’s non-ambiguity of definition and ease-of-collection of data. Of course, the advantages of using GF to replace GV has become easier due to the wide acceptance of the continuous glucose monitor (CGM) sensor device for diabetes patients.

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