Relationships of Chronic Kidney Disease Risks and Four Biomarkers of type 2 Diabetes Disease, Insulin Resistance via FPG, Glycemic Control via HbA1c and eAG, Hyperglycemia Intensity using Viscoplastic Energy Model of GHMethod: Math-Physical Medicine (No. 962, VMT #361, 11/22-23/2023)

Abstract

Gerald C Hsu

The interaction between diet quality and portion control significantly influences body weight, a crucial factor in the progression of type 2 diabetes (T2D). T2D is characterized by four key biomarkers: insulin resistance (measured via morning fasting glucose - FPG), daily glycemic control (averaged glucose - eAG), quarterly glycemic control (HbA1c levels), and hyperglycemia situation control (hyperglycemia intensity - HyGI). HbA1c and eAG are similar biomarkers. But, both of them lack representation of insulin resistance influences and damage caused by hyperglycemia.

HyGI is calculated as averaged glucose above 180 mg/dL multiplied by the occurrence frequency of glucose above 180 mg/dL.

This study explores the author's chronic kidney diseases (CKD) risks associated with these four T2D biomarkers, drawing from personal data collected over the past six years (5/1/2018 to 11/20/2023). Traditional statistical analysis reveals strong correlations (90% to 94%) between the author's CKD risk and the four T2D biomarkers. Additionally, the author employs the space-domain viscoplastic energy (SD-VMT) method to unveil hidden relationships and dynamics (i.e. energies) between these four T2D biomarkers and his annual CKD risk output.

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