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Research Article
Volume 5 Issue 11 - 2020
Glucose Analyses of TIR, TAR, and TBR between Pre-COVID-19 and COVID-19 Using GH-Method: Math-Physical Medicine (No. 319)
Gerald C Hsu*
eclaireMD Foundation, USA
*Corresponding Author: Gerald C Hsu, eclaireMD Foundation, USA
Received: October 09, 2020; Published: October 22, 2020




Abstract

The author utilizes quantitative analysis results based on diabetes control for two periods, pre-COVID-19, from 5/5/2018 to 1/18/2020, and COVID-19, from 1/19/2020 - 8/25/2020, with a duration of 2.3 years. Special attention has been placed on applying the American Diabetes Association (ADA) 2020 Guidelines for TIR%, TAR% and TBR% to study their differences between two time periods.

Based on the chart above, two conclusions can be drawn. First, his TIR% occupies 70%-95% of his total glucose data during the pre-COVID-19 and 82% - 98% of his total glucose data during COVID-19. Second, his average daily glucose values within TIR are 118 - 127 mg/dL for pre-COVID-19 and 112 - 118 mg/dL for COVID-19. These two facts prove that his diabetes conditions are well-controlled; however, his performance during the COVID-19 period is even better than the prior timeframe.

The COVID-19 virus is the worst epidemic in recent human history in terms of its spreading speed, fatality number, and emotional impact on the world population. People belonging to the “vulnerable” groups, such as the elderly with history of or existing chronic diseases and complications, require special consideration to their health conditions as well as lifestyle management program during this period. However, the author has achieved even better results on his diabetes control in terms of FPG, PPG, daily glucose and HbA1C values. The knowledge and experience he has acquired in the past 10 years of medical research and his developed mathematical metabolism index model and four diabetes prediction tools have assisted him in many ways. More importantly, the quiet, stable, and undisturbed lifestyle during this timeframe does contribute to his better glucose control situation. As a result, he has achieved an overall lower glucose values and a lower HbA1C value prior to the pre-COVID-19 period. In fact, he turned the COVID-19 crisis into his health advantage!

Keywords: American Diabetes Association (ADA); Glucose Analyses; Pre-COVID-19; COVID-19; GH-Method

References

  1. Hsu Gerald C. “Biomedical research methodology based on GH-Method: math-physical medicine”. EclaireMD Foundation, USA (2020): 310.
  2. Hsu Gerald C. “Glucose trend pattern analysis and progressive behavior modification of a T2D patient using GH-Method: math-physical medicine”. EclaireMD Foundation, USA, No (2020): 305.
  3. American Diabetes Association. “Introduction: Standards of Medical Care in Diabetes-2020”. Diabetes Care1 (2020): s1-s2.
  4. Vigersky R and McMahon C. “The Relationship of Hemoglobin A1C to Time-in-Range in Patients with Diabetes”. Diabetes Technology and Therapeutics2 (2019): 81-85.
  5. Beck RW., et al. “The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c”. Journal of Diabetes Science and Technology 4 (2019): 614-626.
  6. Battalino T., et al. “Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range”. Diabetes Care8 (2019): 1593-1603.
  7. Hsu Gerald C. “The influences of medication on diabetes control using TIR analysis via GH-Method: Math-physical medicine”. EclaireMD Foundation, USA (2020): 238.
  8. Hsu Gerald C. “Using Candlestick Charting Techniques to Investigate Glucose Behaviors via GH-Method: Math-Physical Medicine”. EclaireMD Foundation, USA (2019): 76.
  9. Hsu Gerald C. “Comparison study of PPG characteristics from candlestick model using GH-Method: Math-Physical Medicine”. EclaireMD Foundation, USA (2020): 261.
Citation: Gerald C Hsu. “Glucose Analyses of TIR, TAR, and TBR between Pre-COVID-19 and COVID-19 Using GH-Method: Math-Physical Medicine (No. 319)”. EC Endocrinology and Metabolic Research 5.11 (2020): 22-29.

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