Applying TBR/TIR/TAR or TxR Formulas Defined by the American Diabetes Association Along with the Concept and a Tool of Glucose Density (GD%) from Distributional Data Analysis to Investigate Four Annual Continuous Glucose Monitoring Sensor Collected Glucose Data of a Type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 511)

Abstract

Gerald C Hsu

The author has read an article recently, “Glucodensities: a new representation of glucose profiles using distributional data analysis,” dated August 19, 2020, from arxiv.org (see Reference 1). Incidentally, he also made two further improvements on his glucose data analysis with his collected big data of sensor glucoses via a continuous glucose monitoring sensor device (CGM). First, HbA1C is the mean value or average value of the past 90 to 120 days (in some cases 115 days) of the red blood cell’s carried glucoses. Although using the HbA1C of patients as the golden standard in evaluating their diabetes conditions is presently a common practice, using the mean value alone cannot tell medical doctors detailed diabetes information