Viscoelastic or Viscoplastic Glucose Theory (VGT 24): Applying Perturbation Theory and the Theories of Viscoelasticity and Viscoplasticity to Predict the Cardiovascular Disease (CVD) Risk Probability Percentages Using Collected Data from the Estimated Daily Glucose Values and Overall Metabolism Index Values over a 10+ Year Period from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 604)

Abstract

Gerald C Hsu

This specific article is a combination of the author’s papers No. 593 and No. 594 regarding the cardiovascular disease (CVD) risk probability percentages or CVD risk. For his research work, recently, he received an invitation to be a speaker at a cardiology conference. He then reorganized and combined the above-mentioned two papers into one with an emphasis on the prediction of CVD/CHD Risk utilizing visco-perturbation model. As a result, the emphasis of this combined article is no longer focusing on the time-dependency characters due to viscosity of CVD risk, i.e. estimated average glucose (eAG), and metabolism index (MI). As we know, diabetes (continuous high glucose level) causes many complications, including but not limited to CVD or chronic heart disease (CHD). As a matter of fact, around 75% to 80% of patients with various heart diseases also have diabetes. Furthermore, there is approximately 20% or less resulting mainly from genetic conditions. Therefore, most patients with heart diseases should pay attention to overall metabolism conditions, particularly the glucose situation which is also under the influence of metabolism.

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