Six International Clinical Cases Demonstrating Prediction Accuracies of Postprandial Plasma Glucoses and Suggested Methods for Improvements Using Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 10 (No. 362)

Abstract

This article is Part 10 of the author’s linear elastic glucose behavior study. It focuses on validating his recently defined two glucose coefficients of GH.f-modulus and GH.p-modulus, while interpreting their biomedical meaning and correlations with chronic disease conditions, specifically, obesity and diabetes. In addition, this article illustrates the applicability of his developed predicted postprandial plasma glucose (PPG) equation through data from six international clinical cases. I hope that this linear elastic glucose model would be useful in real life applications to most of type 2 diabetes (T2D) patients worldwide on controlling their conditions. Here is the step-by-step explanation of the predicted PPG equation from the six clinical cases using linear elastic glucose theory as described in [10, 18]: 1. Baseline PPG equals to 97% of FPG value, or 97% * (weight * GH.f-Modulus). 2. Baseline PPG plus increased amount of PPG due to food, i.e. plus (carbs/sugar intake amount * GH.p-Modulus). 3. Baseline PPG plus increased PPG due to food, and then subtracts reduction amount of PPG due to exercise, i.e. minus (post-meal walking k-steps * 5). 4. The Predicted PPG equals to Baseline PPG plus the food influences, and then subtracts the exercise influences. The linear elastic glucose equation is: Predicted PPG = (0.97 * GH.f-modulus * Weight) + (GH.p-modulus * Carbs&sugar) - (post-meal walking k-steps * 5)