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Prevention of Diabetes and the Care of People with Diabetes. M G Sayyad, KEM Hospital and Research Centre, Pune, India. A L Searle, School of Mathematics, University of Southampton, UK. A K Shahani, School of Mathematics and GeoData Institue, - PowerPoint PPT PresentationTRANSCRIPT
Geo Data Institute, University of Southampton
Prevention of Diabetes and the Care ofPeople with Diabetes
M G Sayyad, KEM Hospital and Research Centre, Pune, India.
A L Searle, School of Mathematics, University of Southampton, UK.
A K Shahani, School of Mathematics and GeoData Institue, University of Southampton, UK.
J A Shirodkar, KEM Hospital and Research Centre, Pune, India.
C S Yajnik, KEM Hospital and Research Centre, Pune, India.
Prevention of Diabetes and the Care ofPeople with Diabetes
Outline of Presentation
• Diabetes
• History of diabetes
• Western and Indian Ayurvedic classifications
• Data Analysis and Modelling for control of diabetes
• Concluding remarks
Geo Data Institute, University of Southampton
Diabetes
Problems with body’s carbohydrates metabolism
Excess glucose in blood
Many serious consequences. e.g. Kidney failure, blindness
Damage to body’s systems specially blood vessels and nerves
Geo Data Institute, University of Southampton
A History of Diabetes
5000 BC Ancient Indian scriptures (Rig and Athrava vedas) mention health and diseases including 20 types of “obstinate urinary disorders” (Prameha).Pra = Abundance Meha = UrinePrameha= Passing of excessive urine
About 1000 BC Ayurvedic texts of Indian physicians Charak and Sushruta discuss classification, causes,prevention, and treatment of Prameha.
2nd Century AD The word Diabetes is used to describe passing of excessive urine
Geo Data Institute, University of Southampton
A History of Diabetes
• Discovery that damaged pancreas, and in particular damage to a cluster of cells called Islets of Langerhans causes diabetes.• Mellitus is added to the word diabetes to distinguish the condition of excess glucose in urine from other urinary disorders.
19th Century
1922 Insulin is discovered. Injection of manufactured Insulin becomes a major advance for controlling diabetes.
Diabetes
Geo Data Institute, University of Southampton
• Diabetes is a major, and a growing, health problem
• In year 2000, 3.2 million deaths due to diabetes.
• About 194 million people worldwide have diabetes.
• India had about 31.7 million people with diabetes in 2000. There could be about 80 million people with diabetes by 2030. • World’s diabetic population is estimated to double from 110 million in 1994 to 220 million by 2010.
Geo Data Institute, University of Southampton
Classification of Diabetes
• Type 1 Diabetes Mellitus (Insulin dependent, IDDM)
•Type 2 Diabetes Mellitus (Non insulin dependent, NIDDM)
•Gestational Diabetes Mellitus(GDM)
•Pancreatic Diabetes Mellitus (FCPD, PDDM)
•Malnutrition Related Diabetes Mellitus (MRDM)
•Other
Classification of Diabetes
Type 1 Diabetes (IDDM)
• Usually in children and young adults• Severe symptoms, Sudden onset• Life long insulin
treatment• 5% to 10% of all diabetic cases
• Usually in adults• Mild symptoms, chronic
course• Various complications• Treated with diet,
exercise, tablets and insulin
• 90% to 95% of all diabetic cases
Type 2 Diabetes (NIDDM)
Ayurvedic Classification of Prameha
Prameha
Apathyanimittaja (Inherited)
defect in genetic
substance in mother or father
Sahaja (Acquired)
Over-eating
Lack of exercise
Note correspondencewith the “modern” Classification of Type 1and Type 2 diabetes
krisha
Lean body
Sthula
Obese body
VatajaUncurable Prameha
PittajaMaintainable Prameha
KaphajaCurable Prameha
Geo Data Institute, University of Southampton
Causes of Type 2 Diabetes
• Wisdom of Sushruta: Oversleeping, lack of exercise, overeating, especially sweet and fatty things, are the primary causes of prameha.
• Modern knowledge: Obesity, smoking, and lack of exercise are risk factors for developing diabetes
Geo Data Institute, University of Southampton
Diagnosis of Diabetes
• Commonest symptom is ‘no symptom’• Rapid weight change • General weakness • Recurrent infections• Excess urine• Excess thirst • Excess hunger• Delivering large weight babies
Level of glucose in blood has to be measured for detecting Diabetes
Geo Data Institute, University of Southampton
Diagnosis of Prameha
• In the absence of measurement of blood glucose levels, signs and symptoms for diagnosing Prameha include:
• Colour, taste, smell, and other characteristics of urine
• Family history of Prameha
• Coating on teeth
• Secretion from eyes/nose,
• burning/cracked palms and soles
• thirst
Geo Data Institute, University of Southampton
Obesity
• Obesity is a major risk factor for diabetes and Prameha
• Body Mass Index (BMI) = Weight / Height2 is used to define obesity.
Underweight: BMI <18.5 Normal weight: BMI in range 18.5–24.9
Overweight: BMI in range 25.0–29.9 Obese: BMI >30.0
Geo Data Institute, University of Southampton
Obesity
• Indians have more body fat for a given BMI “Normal” BMI range for Indians = 20-23 kg/m2 BMI of obese Indians >23 kg/m2
•Dr Yajnik and his colleagues have demonstrated that central obesity, measured by Waist to Hip Ratio (WHR), is a good measure of risk of diabetes.
WHR = Waist circumference / Hip circumferenceObese Men: WHR > 0.95
Obese Women: WHR > 0.85
Obesity
• Obesity is a major and a growing health problem in many countries.
• Obesity in England has increased by about 400% in the past 25 years.
• At present about 2/3 of the population in England are overweight or obese.
• Diet and life style changes are major challenges for many obese people.
• Effectiveness of Ayurveda for controlling obesity?
Geo Data Institute, University of Southampton
Control of Diabetes
Diabetes Control
Diet
ExerciseMedication
Education Regular monitoring
A Model for Preventing
and Treating Type 2 Diabetes Normal Glucose
Tolerance
Normal GlucoseTolerance
Type 2 Diabetes
Diabetic complications
Death
Risk factors Risk factors
Risk factors
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Wellcome Diabetes Study
Geo Data Institute, University of Southampton
Wellcome Diabetes Study
Geo Data Institute, University of Southampton
Wellcome Diabetes Study
Geo Data Institute, University of Southampton
Wellcome Diabetes Study
Model Results for Effects of Treatments
Modelling Nephropathy
Transition Probabilities and Transition Times
Geo Data Institute, University of Southampton
• Analysis of the Wellcome Diabetes Study provided estimates of the probabilities of transitions between the various states of the “Nephropathy” model
• Transition times were assumed to be Weibull variates.
• Analysis of the Wellcome Diabetes Study provided estimates the parameters of the various Weibull distributions.
Geo Data Institute, University of Southampton
Selected Interventions
• Control of blood glucose
• Control of high blood pressure
Geo Data Institute, University of Southampton
Risk Groups for Nephropathy
Geo Data Institute, University of Southampton
Model Results for Effects of Treatments
Intervention Option
No Intervention Hypertension Glucose
OvertProteinuria n%
683 (644, 724)13.6 (12.8, 14.48)
143 (109,179) 2.9 (2.1, 3.5)
165 (156,173)3.3 (3.12, 3.46)
Chronic Renal Failure Patients n%
609 (558, 660)12.8 (11.8, 13.2)
20 (8,31)0.4 ( 0.2, 0.6)
26 (23,36)0.5 (0.4,0.7)
End Stage Renal Failure Patients n%
451 (409,494)9 (8.2, 9.9)
13 (11,24)0.26 (0.2, 0.5)
17 (7,27)0.34 ( 0.1, 0.5)
Kidney Transplants n%
21 (10, 31)0.5 (0.2,0.6)
1 (0,3)0.02 (0,0.06)
1 (0,3) 0.02 (0,0.06)
Deaths n%
1428 (1371, 1486)28.5 (27.4 ,29.7)
1185 (1131,1239)22 (21.1, 22.9)
1141 (1103, 1246)22.8 (22.3, 23.3)
Costs (Millions of Rupees) 44.6 ( 34.7, 54.6) 489.3 (486.7, 491.9) 395.3 (392.7, 398.0)
Geo Data Institute, University of Southampton
High Blood Pressure Treatment: Deaths over time
Death
0
200
400
600
800
1000
1200
14003 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33
Time (yrs)
No
of P
aien
ts
Geo Data Institute, University of Southampton
Concluding Remarks
• Diabetes is a major threat to the health of many nations
• Control of blood glucose, blood pressure, and obesity will control diabetes.
• Side effects of the western drugs?
• Combination of the Eastern wisdom of Ayurveda and western Science is likely to be a powerful combination for controlling diabetes.