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A Simple Formula Based on Postprandial Plasma Glucose Prediction Using 5,640 Meals Data via GH-Method: Math-Physical Medicine (No. 301) | OMICS International | Abstract

Atherosclerosis: Open Access
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A Simple Formula Based on Postprandial Plasma Glucose Prediction Using 5,640 Meals Data via GH-Method: Math-Physical Medicine (No. 301)

Gerald C Hsu*
EclaireMD Foundation, CA 94062, USA
*Corresponding Author: Gerald C Hsu, Medical Research Scientist, 7 Oak Haven Way Woodside
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, EclaireMD Foundation, CA 94062, USA, Tel: +1-510-331-5000, Email: g.hsu@eclairemd.com

Received Date: Sep 07, 2020 / Accepted Date: Sep 28, 2020 / Published Date: Oct 05, 2020

Citation: Hsu GC (2020) A Simple Formula Based on Postprandial Plasma Glucose Prediction using 5,640 Meals Data via GH-Method: Math-Physical Medicine (No.301). Atheroscler Open Access 5: 135.


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Copyright:
© 2020 Hsu GC. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 
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Abstract

This article is based on the continuation of the author’s research work, a simple and practical, yet highly accurate postprandial plasma glucose (PPG) prediction formula for Type 2 Diabetes (T2D) patients. His methodology is the developed GH-Method: Math-Physical Medicine (MPM) which has been utilized repeatedly in the past decade.

The predicted PPG formula-based on the status of fasting plasma glucose (FPG), carbs/sugar intake amount, and post-meal walking steps are as follows:

Predicted PPG=0.97*FPG+(carbs/sugar grams*1.8)-(post-meal walking steps in thousand*5)

The conclusive results have the order of values m1/m2/m3/prediction accuracy %.

Case A:1.8/5.0/0.97/99.8%

Case B:2.0/5.0/0.945/99.9%

Case C:2.2/5.0/0.92/99.9%

Exercise is important, contributing ~3% higher than food, is easily achieved compared to the required knowledge of diet. As a result, the author spent four years to study food nutrition. Most T2D patients are seniors; therefore, he suggests that walking is the best form of exercise. However, the most difficult part of exercise is the behavior psychology related to the issue of “discipline and persistence”. T2D patients need to walk between 2,000 to 4,000 steps after each meal. The author walks an average of 4,300 steps after each meal. On the other hand, diet (carbs/ sugar amount and nutritional balance) requires much more and deeper knowledge of food nutrition in order to control diabetes. Therefore, the author developed an AI-based tool to assist T2D patients.

For non-tech patients, the following simple guidelines can assist with meal intake:

Starchy food:

Eat an amount half of your fist or hand at most.

Colorful vegetables:

Eat an amount limited to one fist or hand.

Green vegetables:

Eat an amount limited to 2.5 fists or hands.

Please note: you must combine two types of vegetable together in order to get the total intake limitation.

The author highly recommends the patients to measure their FPG at least several times a quarter, in order to get a quarterly average FPG value. The other three PPG values can then utilize the formula-based predicted PPG to control their overall diabetes conditions.

The described method mentioned above in regard to the predicted PPG formula along with the post-meal walking exercise and carbs/sugar intake amount can help patients control their diabetes without painful and troublesome finger-piercing glucose measurements. The author has been measuring his glucoses for 8.5 years (3,126 days) with finger-piercing glucose testing combined with his 10-years of diabetes research work. He hopes this article can provide useful guidelines to other diabetes patients to take back their lives from this dreadful chronic disease.

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