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Advances in Theoretical & Computational Physics(ATCP)

ISSN: 2639-0108 | DOI: 10.33140/ATCP

Impact Factor: 2.62

Relationships of Diabetic Neuropathy Risks and Three Glycemic Intensities of Type 2 Diabetes Using Viscoplastic Energy Model of GH-Method: Math Physical Medicine (no. 988, vmt #387, 12/4/2023)

Abstract

Gerald C Hsu

Based on PubMed research, it is estimated that approximately 50% of individuals with type 1 or type 2 diabetes experience diabetic neuropathy, while another article reports a prevalence of 40.8% for this condition in diabetes patients. From a pathophysiological standpoint, diabetic neuropathy is strongly connected to metabolic disorders, particularly type 2 diabetes.

The American Diabetes Association classifies glucose levels as follows:

  • Hyperglycemia (glucose above 180 mg/dL)
  • Hypoglycemia (glucose below 70 mg/dL)
  • Normal Glycemic (glucose between 70 and 180 mg/dL)

This study delves into the author's risk of developing diabetic neuropathy (DN) in relation to their type 2 diabetes. The author introduces a novel concept known as "glycemic intensities (GI)" as new biomarkers to examine various diabetic complications. These GI values are calculated as the product of average glucose levels and their frequency of occurrence, potentially shedding light on the impact of diabetes control and glucose management on the development of various health issues, including DN. In this research, the author assesses hid DN risk using three T2D-GI measures: TAR-GI (TAR), TBR-GI (TBR), and TIR-GI (TIR), utilizing his personal data collected from August 1, 2018, to December 2, 2023.

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