A Comparison of Two Clinical Cases of Quantitative Lifestyles Medicine Using GH-Method: Math-Physical Medicine (No. 302)

2020 ◽  
pp. 1-5
Author(s):  
Gerald C Hsu ◽  

This article is a comparison of clinical cases of quantitative lifestyles medicine which is based on the data of two type 2 diabetes (T2D) patients during a period of 149 days from 3/1/2020 to 7/27/2020. The research methodology utilizes the author developed GH-Method: math-physical medicine (MPM) which has been applied for the past decade. This study contains a comparison and interpretation of the following two T2D patients. Case A: male, 47-years-old, 5 years of T2D history, with no signs of diabetes complications, BMI 40, and not taking any diabetes medication. Case B (author): male, 73-years-old, 25 years of T2D history, with many diabetes complications except stroke, BMI 25, and not taking any diabetes medication for the past 5 years.

2020 ◽  
Vol 4 (2) ◽  

This article is a comparison of clinical cases of quantitative lifestyles medicine which is based on the data of two type 2 diabetes (T2D) patients during a period of 149 days from 3/1/2020 to 7/27/2020. The research methodology utilizes the author developed GH-Method: math-physical medicine (MPM) which has been applied for the past decade.


2020 ◽  
Vol 4 (2) ◽  

This article is a comparison of clinical cases of quantitative lifestyles medicine which is based on the data of two type 2 diabetes (T2D) patients during a period of 149 days from 3/1/2020 to 7/27/2020. The research methodology utilizes the author developed GH-Method: math-physical medicine (MPM) which has been applied for the past decade.


2020 ◽  
Vol 4 (2) ◽  

This article is a comparison report of a total of 63,244 glucose data from a type 2 diabetes individual by using three different glucose measurement methods during the recent COVID-19 period over163 days from 2/19/2020 to 7/31/2020. The research methodology utilizes GH-Method: math-physical medicine (MPM) which has been applied for the past decade.


This article is a comparison report of a total of 63,244 glucose data from a type 2 diabetes individual by using three different glucose measurement methods during the recent COVID-19 period over163 days from 2/19/2020 to 7/31/2020. The research methodology utilizes GH-Method: math-physical medicine (MPM) which has been applied for the past decade.


2020 ◽  
Vol 4 (2) ◽  

This article is a comparison report of a total of 63,244 glucose data from a type 2 diabetes individual by using three different glucose measurement methods during the recent COVID-19 period over163 days from 2/19/2020 to 7/31/2020. The research methodology utilizes GH-Method: math-physical medicine (MPM) which has been applied for the past decade.


2020 ◽  
pp. 1-8
Author(s):  
Gerald C Hsu ◽  

This paper discusses the author’s biomedical research work based on the GH-Method: math-physical medicine (MPM) approach over the past decade. This is significantly different from the traditional medical research using biochemical approach and simple statistical methods. He uses his own type 2 diabetes (T2D) metabolic conditions as a case study including several application examples as illustrations and explanations of the MPM methodology


2020 ◽  
Author(s):  
Kajsa Sjöholm ◽  
Lena MS Carlsson ◽  
Magdalena Taube ◽  
Carel W le Roux ◽  
Per-Arne Svensson ◽  
...  

<b>Objective </b>Bariatric surgery is associated with diabetes remission and prevention of diabetes-related complications. The scores ABCD, DiaRem, Ad-DiaRem, DiaBetter and IMS were developed to predict short to medium-term diabetes remission after bariatric surgery. However, they have not been tested for predicting durable remission nor the risk of diabetes complications, nor compared with diabetes duration alone. <p><b>Research Design and Methods </b>We identified 363<b> </b>individuals from the surgically treated group in the prospective Swedish Obese Subjects (SOS) study with preoperative type 2 diabetes and for whom data (preoperative age, BMI, C-peptide, HbA1c, oral diabetes medication(s), insulin use, and diabetes duration) were available for calculation of remission scores. Partial remission (after 2 and 10 years) was defined as blood glucose <6.1 mmol/L or HbA1c <6.5% (48 mmol/mol) and no diabetes medication. Information on diabetes complications (at baseline and over 15 years of follow-up) was obtained from national health registers. Discrimination was evaluated by area under receiving operator characteristic curves (AUROCs).</p> <p><b>Results </b>For 2-year diabetes remission, AUROCs were between 0.79 and 0.88 for remission scores and 0.84 for diabetes duration alone. After 10 years, the predictive ability of scores decreased markedly (AUROCs between 0.70-0.76) and no score had higher predictive capacity than diabetes duration alone (AUROC=0.73). For development of microvascular and macrovascular diabetes complications over 15 years, AUROCs for remission scores were 0.70-0.80 and 0.62-0.71, respectively, and AUROCs for diabetes duration alone were 0.77 and 0.66, respectively. </p> <b>Conclusions </b>Remission scores and diabetes duration are good predictors of short-term diabetes remission. However, for durable remission and risk of complications, remission scores and diabetes duration alone have limited predictive ability.


2020 ◽  
Vol 4 (1) ◽  

The author has contemplated a specific question: Why do some type 2 diabetes (T2D) patients choose to face serious complications, including death, rather than change their lifestyle in order to control their diabetic conditions? He discusses two different clinical cases linking patient’s personality traits and psychological behavior with diabetes physiological characteristics. He named this approach as the Progressive Behavior Modification which is a part of the “Mentality-Personality Modeling”.


2020 ◽  
pp. 1-4
Author(s):  
Gerald C Hsu ◽  

The author applies his GH-method: math-physical medicine research methodology and lifestyle medicine practice to diagnose the relationship between sleep patterns and glucoses of three type 2 diabetes (T2D) patients in particular the female case referred to as Case A, who has an irregular sleep pattern


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