Accuracy of Three HbA1C Equations and their Predicted Results in Comparison with the Lab-Tested A1C on 7/22/2021 Based on GH-Method: Math-Physical Medicine (No. 485)

Abstract

Gerald C Hsu

Since 7/1/2015, the author has utilized his collected data of finger pierced glucose readings 4 times daily, carbs/sugar intake amount, and post-meal walking steps for each meal to calculate the predicted daily HbA1C values (the “daily finger A1C”). Over the past 5.5 years, the predicted HbA1C values were calculated 12 times within the same timeframe of the12 different lab-tested dates. During the 12 continuous 5-month time periods, he achieved a 100% prediction accuracy using his daily finger A1C model. Starting from 5/5/2018, along with finger glucose levels, he has been collecting 96 glucose data each day using a continuous glucose monitoring (CGM) sensor device until present day. Based on the collected CGM sensor glucoses, he further developed two extra HbA1C prediction models, the “sensor-1” A1C model using the combination of both average sensor glucoses and daily glucose fluctuations, and the “sensor-2” A1C model using the average sensor glucoses (eAG). On 7/22/2021, he performed his HbA1C test at a medical laboratory and received its latest quarterly HbA1C result of 6.3%. In conclusion, all three HbA1C prediction models (finger, sensor-1, and sensor-2) have yielded the same predicted HbA1C values of 6.3% which is identical to his lab-tested HbA1C value on 7/22/2021.

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