Russian Call Girls Chennai Madhuri 9907093804 Independent Call Girls Service ...
Bellagio_Global_Diabetes.ppt
1. Global burden of Diabetes:
Prevalence and projections
Belllagio, March 16th 2004
Peter H. Bennett, M.B., F.R.C.P.
National Institute of Diabetes and Digestive and
Kidney Diseases,
Phoenix, Arizona, U.S.A.
2. Outline
• Prevalence of Diabetes
• Estimates of future prevalence (projections)
• Mortality attributable to diabetes
• Effect of the epidemic on rates of complications
• Projections for ESRD
6. Global Projections for the Diabetes Epidemic:
2000-2030 (in millions)
NA
19.7
33.9
72%
LAC
13.3
33.0
248%
EU
17.8
25.1
41%
A+NZ
1.2
2.0
65%
SSA
7.1
18.6
261%
World
2000 = 171 million
2030 = 366 million
Increase 213%
China
20.8
42.3
204%
Wild, S et al.: Global prevalence of diabetes:
Estimates for 2000 and projections for 2030
Diabetes Care 2004 In press
India
31.7
79.4
251%
MEC
20.1
52.8
263%
7. Estimated Number of People with Diabetes
in 2000 and 2030 (and % change)
Wild, S et al.: Global prevalence of diabetes: Estimates for 2000 and projections for 2030
Diabetes Care 2004. In press
+176%
+26%
-13%
8. Estimated Number of People with Diabetes in
2000 and 2030 (and % change)
Wild, S et al.: Global prevalence of diabetes: Estimates for 2000 and
projections for 2030 Diabetes Care 2004 In press
+308%
+247%
+189%
9. Estimated Number of People with Diabetes in
2000 and 2030
Wild, S et al.: Global prevalence of diabetes: Estimates for 2000
and projections for 2030 Diabetes Care 2004 In press
+242%
+212%
+75%
10. Are these projections realistic?
Based on:
1990s estimates of diabetes prevalence
Demographic projections
Assume constant (current) age-sex specific
prevalence of diabetes
12. No of persons with Physician-diagnosed
Diabetes in USA by year
Data from the US National Health Interview Survey:
http://www.cdc.gov/diabetes/statistics/prev/national/fig1.htm
13. Diabetes in the United States
1958-1993
0
3
6
9
12
1958 '62 '66 '70 '74 '78 '82 '86 '90 1994
Prevalence (%)
> 65 years
55-65 years
45-54 years
< 45 years
Data from the US National Health Interview Survey
14. Diabetes in the United States
1980-2000
0
3
6
9
12
15
1980 '85 '90 '95 2000
Prevalence (%)
< 45 years
65-74years
45-64years
75+years
Data from the US National Health Interview Survey:
http://www.cdc.gov/diabetes/statistics/prev/national/fig3.htm
15.
16.
17. Why were former projections
inaccurate?
• They were based on demographic changes
(which are very predictable)
• The epidemic of diabetes is driven by other
factors (some or perhaps most of which may
be reflected in occurrence of IGT and IFG)
21. Prevalence and Incidence of Diabetes (%)
in Impaired Glucose Homeostasis
Prevalence of Impaired
Glucose Homeostasis
5-year Cumulative
Incidence of DM
Hoorn
50-75y
19.4 29.7
Mauritius
25-74y
19.3 24.5
Pima Indians
15+y
15.1 24.8
Nhanes III
40-74y
19.3 ? 25% ?
22. Projections of Numbers with Diabetes* among
persons aged 40-74years in USA (Millions)
14.5
18
21.5
25
28.5
32
35.5 39
0
10
20
30
40
1995 2000 2005 2010 2015 2020 2025 2030
YEAR
No.
with
Diabetes
(millions)
*Based on diabetes incidence (5% / year) in the 20% of persons with impaired glucose
homeostasis; 300,000 diabetes deaths / year; Net increase = c.700,000 cases of diabetes / year
23. Proportion of new cases of Diabetes (%) in persons
with NGT and Impaired Glucose Homeostasis
Proportion from
persons with NGT
Proportion from
those with IGT or
IFG
Hoorn
50-75y
38% 62%
Mauritius
25-74y
40% 60%
Pima Indians
15+y
44% 56%
Nhanes III
40-74y
? 40% ? ? 60% ?
24. Projections of Numbers with Diabetes* among
persons aged 40-74years in USA (Millions)
19.4
24.3
29.2
34.1
39
43.3
48.2
14.5
18
21.5
25
28.5
32
35.5
39
0
10
20
30
40
50
1995 2000 2005 2010 2015 2020 2025 2030
YEAR
No.
with
Diabetes
(millions)
*Based on diabetes incidence (5% / year) in the 20% of persons with impaired glucose
homeostasis; 40% of new cases from persons with NGT; 450,000 diabetes deaths / year
Net increase = c.830,000 cases of diabetes / year
27. Number of Deaths with Diabetes as Underlying Cause of Death,
United States, 1980-1996.
CDC, Diabetes surveillance, 1999
28. Excess Deaths attributable to Diabetes
• Excess mortality =No of deaths in DMs – Expected no. if
not DM
• No of DM deaths = (RR of death in DM x No. with DM)
• Expected No. = Mortality rate in non DMs*No. with DM
• Mortality rate; RR of death in DM; No. with diabetes
29.
30.
31. Global Projections of Excess Deaths
attributable to Diabetes (in 000’s)
and percent of all deaths in year 2000
AMRA
251.1
9.75%
AMRD
32.2
6.1%
EUR
609.0
6.4%
WPR
469.3
4.1%
AFR
319.2
2.6%
World
In 2000 = 3.164 million
(5.4% of all deaths)
SEAR
1154.1
6.9%
Roglic et al.: Burden of mortality
attributable to diabetes:
Estimates for the year 2000. In preparation
EMR
125.3
7.2%
AMRB
194.0
7.6%
33. Consequences of Epidemic
• Disproportionate increase in
duration-related complications
• Increase in number with diabetes
34. Effect of Epidemic of Diabetes on Duration-related complications
16 new cases/yr. Death occurs after 30y DM; Complication incidence 50% after 15y DM
0 5 10 15 20 25 30 35 40 45 50
Time (years)
0
150
300
450
No.
of
Cases
0
10
20
30
40
50
Percent
with
complications
Cumulative No. of DM cases
% with DM>15y duration
Prevalence of complications (%) among those with DM
35. Incidence of Type 2 Diabetes in Pima Indians
in two time periods
1965-75
1975-85
Time Period
0 10 20 30 40 50
Incidence per 1000 person-years
Age-sex adjusted rates
60% increase
36. Age-standardized mortality from Ischemic Heart
Disease in diabetic and non-diabetic
Pima Indians aged 35+ years, (30 year follow-up)
1965-74 1975-84
Non-diabetic
1985-94 1965-74 1975-84
Diabetic
1985-94
0
1
2
3
4
5
6
Mortality
/1000
person-years
40. Number of persons beginning treatment for
ESRD attributable to diabetes in USA by year
http://www.cdc.gov/diabetes/statistics/esrd/Fig1Detl.htm
41. DIABETES IN END-STAGE RENAL FAILURE: AUSTRALIA
1980 - 2000
Year of Entry
Number of Diabetics Number of New Patients
0
100
200
300
400
500
80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00
0
300
600
900
1200
1500
1800
Type 2 (Ins Requiring)
Type 2 (Non Insulin)
Type 1
Total New Patients
42. Crude and Age-adjusted incidence of ESRD
related to diabetes in the United States
1984-2001
0
100
200
300
400
1985 '90 '95 2000
Incidence/100,000
Diabetic persons
Age-adjusted
rate
Data from the US Renal Data System:
http://www.cdc.gov/diabetes/statistics/esrd/fig7.htm
Crude rate
43. Projections for number of patients with diabetes
initiating ESRD treatment in USA*
2000 2030
(using WHO
estimate)
2030
Revised
projections
Number
with
Diabetes
18 million 31 million 39-48
million
No with
new ESDR
40,000 68,000 86-105,000
* Assuming current incidence rates for initiating ESRD treatment remain constant
44. Summary
• Based on demographic changes alone:
The numbers of persons with diabetes in the
world will more than double in the next 30 years
• In developed countries they will increase by 30-
70% (mostly in older persons)
• In developing countries they will increase by c.
250% (mostly in 45-64y age group)
• These projections do not take into account any
increase that is attributable to future increases in
obesity
45. Summary
• c.3.2 million (excess) deaths were
attributable to diabetes in year 2000.
•
• In the USA this is 9% of all deaths
– e.g. In USA c.200,000 excess deaths vs. 14,500
for AIDs
• The numbers of deaths attributable to
diabetes in future years will increase
especially in developing countries
46. Summary
• Because of the current epidemic of diabetes,
reflected in increasing age specific prevalence, the
proportion of the diabetic population with
complications will increase.
• This will result in a greater relative increase in
complications than in diabetes prevalence.
• Because serious complications e.g. ESRD, typically
develop after 15-20 years duration, the incidence of
ESRD due to diabetes will continue to increase for
at least the next 20 years
49. Age-adjusted incidence of ESRD related
to diabetes in the United States
1984-2001
0
100
200
300
400
500
600
1985 '90 '95 2000
Incidence/100,000
Diabetic persons
White female
Black female
Hispanic male
Black male
Data from the US Renal Data System:
http://www.cdc.gov/diabetes/statistics/esrd/fig5.htm
White male
Hispanic female
Amer. Indian male
Amer. Indian female
50. Are there better ways to predict future
trends?
• Incidence = No. of new cases/ period of time
• Mortality = No. of deaths/ period of time
• Prevalence=Cumul.incidence – Cumul. Mortality
• = Number of cases at a point in time
• Future no. of cases = No. of prevalent cases + no.
of new cases- No. of deaths(among all cases)