Viscoelastic and viscoplastic Glucose Theory (VGT 26): Investigation of the Relationships between an Overall Metabolism Index and type 2 Diabetes Utilizing HbA1C, Diabetic Nephropathy via Urinary Albumin-to-Creatinine Ratio, along with Diabetic Retinopathy with Hypothyroidism through Thyroid Stimulating Hormone using Statistical Correlation Coefficient and VGT of GH-Method: Math-Physical Medicine (No. 607)

Abstract

Gerald C Hsu

Over the past two years, the author self-studied certain biomarkers and their relationships with certain diabetic complications, such as albumin-to-creatinine ratio (ACR) for diabetic nephropathy, thyroid stimulating hormone (TSH) for hypothyroidism and diabetic retinopathy (DR). The medical papers he reviewed utilized statistical tools, including regression analysis, with input data collected from hundreds of different patients in hospitals (References 1-14). In this article, he uses his own collected data from the past ~9 years, where he applies a combined math-physical medicine tools, such as correlations (a statistics tool), viscoelastic and viscoplastic glucose theory (VGT, a physics tool) from engineering, and perturbation theory from quantum mechanics to investigate certain hidden behaviors of selected biomarkers, such as MI, HbA1C, ACR, TSH, and their associated diseases. Initially, he attempts to find relationships between two biomarkers, ACR and TSH. Although these two biomarkers belong to output variables of the human body, he tries to alter their roles with the following two assumptions: TSH influences ACR and ACR influences TSH.

PDF