Why invest into infodemic management in health emergencies
Naresh trehan
1. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Cardiovascular
Disease Trends in
India
Naresh Trehan
Escorts Heart Institute and Research Centre
New Delhi, India
Cardiovascular Disease
According to recent estimates,
! Cases of CVD may increase from about 2.9
crore in 2000 to as many as 6.4 crore in
2015
! Deaths from CVD will also more than double.
! Most of this increase will occur on account of
coronary heart disease —AMI, angina, CHF
and inflammatory heart disease
Source:NCMH Background Papers—Burden of Disease in India (New Delhi,
India), September 2005
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2. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Cardiovascular Disease
Data also suggest that although the
! Prevalence rates of CVD in rural populations will
remain lower than that of urban populations, they
will continue to increase, reaching around 13.5% of
the rural population in the age group of 60–69 years
by 2015.
! The prevalence rates among younger adults (age
group of 40 years and above) are also likely to
increase
! Prevalence rates among women will keep pace with
those of men across all age groups.
Source:NCMH Background Papers—Burden of Disease in India (New Delhi,
India), September 2005
Largest Share in Non-
communicable Diseases
Cancers, 10%
Others, 21% Diabetes, 2%
Oral diseases, 1%
COPD and asthma, Mental health
5% disorders, 26%
Blindness, 4%
Cardiovascular
disease, 31%
Priority non-communicable health conditions in India, by share in
the burden of disease (1998)
Source: Peters et al. 2001
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3. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Rising Population
Projected trends in population
Source: Report of the Registrar General of India 1996
Rising Prevalence and
Mortality
Forecasting the prevalence rate (%) of coronary heart disease (CHD) in India
Estimated mortality from coronary heart disease (CHD)
Source:NCMH Background Papers—Burden of Disease in India (New Delhi,
India), September 2005
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4. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Estimates and trends of coronary heart disease (CHD) cases in
various age groups
Source:NCMH Background Papers—Burden of Disease in India (New Delhi,
India), September 2005
Trends of CAD Prevalence in India
% Prevalence URBAN % Prevalence RURAL
14 Trivandrum 14
12 12
Delhi
10 Jaipur 10
8 Chandigarh 8
6 6 Kerela
Rajasthan
Rohtak Punjab
4 4 Haryana UP
2 Delhi 2
Agra
0 0
1960 1970 1980 1990 2000 1960 1970 1980 1990 2000
Year of Study Year of Study
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5. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Burden of CVD: 1990-2020
50
India
DALYs (millions)
40 China
SSA
30
Mexico
LAC
20 EME
PSE
QAI
10
0
1990 2000 2010 2020
CORONARY ANATOMY
INDIANS HAVE MORE
COMMON
! Involvement at younger age
! Smaller Coronary Arteries
! Diffuse Distal Disease
! Multi-vessel Disease
! Higher incidence in women
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6. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Metabolic Syndrome:
Prevalence
Metabolic Syndrome
Prevalence in India: EHIRC Data
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7. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Metabolic Syndrome
Prevalence in India: EHIRC Data
40.0%
33.7%
29.0% 30.0%
19.3% 20.6%
20.0%
7.1%
0.0%
Overall 21-30 31-40 41-50 51-60 61-70
299 consecutive subjects aged 20-65 years, without any
evidence of CVD, undergoing routine health check-up
Metabolic Syndrome
Prevalence in India: EHIRC Data
76.3%
80.0%
60.0%
40.0%
16.7%
20.0% 60.0%
40.3%
0.0%
Diabetics Nondiabetics 40.0%
24.4%
p <0.001 for comparison
20.0%
0.0%
Males Females
p <0.001 for comparison
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8. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
EHIRC data contd.
Prevalence of individual metabolic abnormalities
50.0% 46.8%
45.80%
28.5%
28.4%
30.0%
12.70%
10.0% Increased WC Low HDL High TG Increased FBS HT
EHIRC data
Prevalence of Metabolic Syndrome
• 1000 consecutive patients undergoing CABG
included
• Overall prevalence of metabolic syndrome by
modified ATP III criteria-
– 60.0%
Submitted for publication; Accepted for presentation at CSI 2005
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EHIRC data
1000 CABG patients
• Mean age- 59.73 ± 9.5 years
• 88.4% males; 11.6% females
• Obesity (BMI)-
100.0%
75.2%
80.0%
50.8%
60.0%
40.0%
14.6%
20.0%
0.0%
>30.0 kg/m2 >25.0 kg/m2 >23.0 kg/m2
Obese Overweight Overweight (Asian criteria)
EHIRC data
1000 CABG patients
Diabetes Mellitus
60.0% 55.2%
47.5% 46.5%
Hypertension
40.0% 80.0%
Overall Males Females
70.8% 71.6%
70.9%
p 0.078 for comparison between
males and females
60.0%
Overall Males Females
p 0.869 for comparison between
males and females
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10. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
EHIRC data
1000 CABG patients
100.0% Dyslipidemia
93.9%
85.6% 84.5%
81.4%
80.0% Overall (LDL Males Females Overall (LDL
cut-off cut-off
100mg%) 130mg%)
Lipid abnormalities
p 0.023 for comparison between
males and females 72.5%
80.0%
60.0%
37.0%
40.0%
23.3%
20.0%
High LDL Low HDL High TG
Parameter Year 2000 Year 2005 p value
N 1747 1302
Age (years) 50.0 ± 11.1 43.2 ± 13.1 <0.001
Male gender (79.9%) (78.3%) 0.309
Body-mass index (kg/m2) 24.7±3.9 25.0±3.9 0.034
Hypertension (47.4%) (42.1%) 0.004
Diabetes mellitus (13.0%) (16.5%) 0.012
Dyslipidemia* (76.4%) (62.0%) <0.001
Family h/o CAD (16.8%) (33.5%) <0.001
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Change in MR Grade With
10
Time
Grade 4 Grade 3
Grade 2 Grade 1/0
9
8
7
6
5
4
Untreated
3
2
Group
1
0 Grade 4 Grade 3
Baseline Discharge 3 Months 12 Months 12
Grade 2 Grade 1/0
Coapsys 10
8
Group 6
4
2
0
Baseline Discharge 3 Months 12 Months
LVED and LVED Changes in
Coapsys Patients
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THE HEART FAILURE CLINIC
AT EHIRC SINCE
SEPTEMBER 99’
HEART FAILURE CLINIC
AT EHIRC
50 2000 2001 47.4
2002 2005
40
35.6
30 28.8
20.6
20
10
0
No. of Patients Per OPD
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21. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
THE HEART FAILURE CLINIC
CLINICAL
EVALUATION
OPTIMIZE MEDICAL REHABILITATION
THERAPY
MONITORING PATIENT
& FOLLOWUP HF CLINIC EDUCATION
IS IT SURGICAL
DISEASE? DATA REGISTRY
RESEARCH TRAINING
REASONS FOR REFERALS
! OPTIMIZING MEDICAL CARE
" PHARMACOLOGICAL
" DIET, EXERCISE
" PATIENT EDUCATION
" PSYCHO-SOCIAL REHABILITATION
! REFRACTORY HEART FAILURE TO CONSIDER FOR
" OPTIMIZATION OF MEDICAL CARE
" ALTERNATIVE MEDICINE, SECP, PACEMAKER, AICD
" INTERMITTENT / DOMICILLIARY INOTROPES
" PLAN SURGICAL INTERVENTION
! RESEARCH TRIALS
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22. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
HEART FAILURE CLINIC
!91% HAD CAD, 85% WERE
OPERATED CASES
!REDUCED HOSPITAL READMISSION
RATE
!SIGNIFICANT IMPROVEMENT IN
EXERCISE CAPACITY
IMPACT OF HEART FAILURE
CLINIC ON 3 MONTHS POST
CABG FOLLOW UP IN
PATIENTS WITH LV
DYSFUNCTION
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No OF POST CABG PATIENTS
240
224
220
200 188
180 167
160
140
120
100
Oct 1997- Oct 1998- Oct 1999-
Apr 1998 Apr 1999 Apr 2000
Heart Failure Re-Admission Rates:
3 Months Post CABG
7 6.91
12 11.11
5.99
9.76 Oct 1999- 6
10
Apr 2000
5
8
4
6 Oct 1998-
Apr 1999 3
4
2
2.33 1.34
2 1
Oct 1997-
Apr 1998
0 0
LVEF <20% LVEF <30%
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24. W:NDEI2860CD GiveawayRecognizing and Treating Insulin Resistance.ppt 11/16/06 12:23
Myocardial Sudden
Infarct Death
Coronary Arrhythmia &
thrombosis Loss of Muscle
Myocardial
Ischemia ENDSTAGE HEART Remodeling
DISEASE Ventricular
CAD dilatation
- CHAIN OF EVENTS
Atherosclerosis
LVH CHF
Coronary Endstage
Risk Factors Heart Disease
Dzau and Braunwald, 1991
Thank You
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