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Euro Diabetes Congress 2018, Global Vaccines Congress 2018
& Food Science Conference 2018 Archives of General Internal Medicine | ISSN: 2591-7951| Volume 2
Joint Event on
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
YEARS
&
&
NUTRITION, FOOD SCIENCE & TECHNOLOGY
International Conference on
DIABETES, ENDOCRINOLOGY & NURSING MANAGEMENT
World Congress on
VACCINES & VACCINATION
3rd Global Congress on
Gerald C Hsu, Arch Gen Intern Med 2018, Volume 2 | DOI: 10.4066/2591-7951-C6-016
TYPE 2 DIABETES NURSING MANAGEMENT
Introduction: This paper was written in a “cookbook” format based on ~1.5M
data containing medical and lifestyle conditions for one patient with type 2
diabetes (2012-2018).
Background: Four main challenges in T2D nursing management:
1. Awareness and Knowledge
2. Glucose Measurement
3. Will Power and Persistence
4. Technology and Tool
Results: Highlights of Figure 1: Flow Diagram:
T2D Control Flow Diagram
1. Weight, BMI, Waistline (food portion control & daily exercise): Weight
from 220 lbs to 171 lbs; BMI from 32.1 to 25.0 ;Waistline from 44” to
32”;Controlling factors are meal portion (85% of a normal portion) and
daily walk (18,000 steps, 7 miles/day).
2. FPG (~ 20-25% of A1C): FPG from 189 to 117 mg/dL ; Weight contrib-
utes 80-85% of FPG ;1.0 lbs. weight = ~1.5 mg/dL FPG.
3. PPG (~ 75-80% of A1C): PPG from 380 to 116 mg/dL ; Carbs/Sug-
ar intake (~14.3 gram/meal) contributes 38% and post-meal walking
(~4,300 steps) contribute 41% of PPG; 1.0 gram carbs/sugar = ~1.8
mg/dL PPG. 1,000 steps post-meal walk = ~10 mg/dL PPG.
4. Daily Glucose and A1C: Daily glucose from 280 to 117 mg/dL ; A1C
from 10.0% to 6.5%
5. Blood Pressure and Lipids: SBP/DBP from 127/85 to 96/64 ; Hyperlip-
idemia and hypertension are under control.
6. Risk of heart attack or stroke: Risk from 74% in 2000 to 27.4% in 2017.
Biography
Gerald C Hsu received an honorable PhD in math-
ematics and majored in engineering at MIT. He
attended different universities over 17 years and
studied seven academic disciplines. He has spent
20,000 hours in T2D research. First, he studied six
metabolic diseases and food nutrition during 2010-
2013, then conducted research during 2014-2018.
His approach is “math-physics and quantitative
medicine” based on mathematics, physics, engi-
neering modeling, signal processing, computer sci-
ence, big data analytics, statistics, machine learn-
ing, and AI. His main focus is on preventive med-
icine using prediction tools. He believes that the
better the prediction, the more control you have.
Gerald C Hsu
Eclaire MD Foundation, USA