Viscoelastic or Viscoplastic Glucose Theory (VGT 57): Using the VGT Tool to Estimate the Relative Energy Associated with Chronic Kidney Disease (CKD) Risk Probability Percentages Under the Influence of Hemoglobin A1C (A1C) and Urine Albumin to Creatinine Ratio (ACR) over Two 6-Year Periods, Y2010-Y2015 Versus Y2016-Y2021, Based on GH-Method: Math-Physical Medicine (No. 645)

Abstract

Gerald C Hsu

The author was a professional engineer working in the fields of the space shuttle, naval battleships, nuclear power plants, computer hardware and software, artificial intelligence, and semiconductor chips. After his retirement, he started to self-study and research internal medicine, emphasizing biomarker relationships exploration and disease prevention. Since 2010, he has utilized the disciplines learned from 7 different universities along with various work experiences to formulate his current medical research work during the past 13 years. In engineering and medicine, he discovered that we frequently seek answers, illustrations, or explanations for the relationships between the input variable (force applied on a structure or cause of a disease) and output variable (deformation of a structure or symptom of a disease). However, the multiple relationships between input and output could be expressed with many different matrix formats of 1 x 1, 1 x n, m x 1, or m x n (m or n means different multiple variables). In addition to these described mathematical complications, the output resulting from one or more inputs can also become an input of another output, which is a symptom of certain causes that can become a cause of another different symptom. This phenomenon is a complex scenario with “chain effects”. In fact, engineering and biomedical complications are fundamentally mathematical problems that correlate or conform with many inherent physical laws or principles.

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