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MSc in Diabetes A population approach

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Title: MSc in Diabetes A population approach


1
MSc in DiabetesA population approach
UniS
Epidemiology of Type 1 Diabetes
Ross Lawrenson Postgraduate Medical
School University of Surrey
2
Type 1 Diabetes
  • An auto immune disorder characterised by islet
    cell destruction
  • Used to equate to insulin dependent diabetes
    mellitus (IDDM)

3
Diagnosis?
  • Insulin dependent diabetes associated with auto
    antibodies e.g Islet Cell Antibodies (ICA)
    Insulin Autoantibodies (IAA) and Glutamic Acid
    Decarboxylase Antibodies (GADA) - 90 of white
    children with newly diagnosed diabetes have auto
    antibodies
  • Some apparent type 1 diabetics have no
    demonstrable auto antibodies - 10
  • Epidemiological definition is IDDM developing in
    people before age of 35 years

Atkinson MA, Eisenbarth GS. Lancet 2001 358
221-9
4
Prevalence
5
Prevalence of Type 1 diabetes per 1000
6
Incidence
7
Incidence of Type 1 Diabetes - new cases for
every 100,000 per year by age groups 0-4,
5-9,10-14,15-19 (1992)
8
Type 1 in older patients
  • Both these ladies developed diabetes at the age
    of 48 years.

9
Type 1 in older patients
  • A study Danish adults over the age of 30 has
    found an incidence rate of type 1 diabetes of 8.2
    cases/100,000/year.
  • This rate is lower than that found in Danish
    children (21.5 cases/100,000/year)
  • Assuming that all type 1 diabetes is incident in
    children might lead to an underestimation the
    incidence of type 1 diabetes in the population as
    a whole.

Molbak AG. Incidence of insulin-dependent
diabetes mellitus in age groups over 30 years in
Denmark. Diabet.Med. 1994 11 650-655.
10
Gender
  • With the exception of one study from America, no
    difference in incidence of type 1 diabetes in
    children has been observed between males and
    females.
  • The American study suggested a male excess

Allen C et al. Incidence and differences in
urban-rural seasonal variation of type 1
(insulin-dependent) diabetes in Wisconsin.
Diabetologia 1986 29 629-633.
11
Gender
  • No sex-specific significant difference is
    apparent in the prevalence of type 1 diabetes in
    children,
  • In adults appears more prevalent in men, with a
    prevalence of 0.42 of men aged 25-29, but 0.19
    of women.
  • This male excess disappears in older age groups -
    above 65 years of age the prevalence is 0.11 in
    men and 0.08 in women.

Waugh NR et al.The Dundee prevalence study of
insulin-treated diabetes intervals between
diagnosis and start of insulin therapy.
Diabet.Med. 1989 6 346-350
12
Type 1 Diabetes
  • Increasing incidence

13
Increasing incidence
  • UK
  • 1951-60 3.8 per 100,000
  • 1961-70 5.3 per 100,000
  • 1971-80 10.6 per 100,000
  • 1985-95 18.6 per 100,000

Gardner et al. BMJ 1998 showed a 4 annual
increase in incidence since 1985 and in the
under fives this was an 11 increase.
14
Type 1 diabetes is becoming commoner in children
Williams R. 2001
15
Geographical Variation
16
Adjusted incidence per 100,000 person year of
Type 1 diabetes under 15 yr (1980)
  • Finland
  • Sweden
  • Scotland
  • England
  • Netherlands
  • France
  • 29.5
  • 22.4
  • 19.9
  • 15.6
  • 9.7
  • 4.4

17
Adjusted incidence per 100,000 person year of
Type 1 diabetes under 15 yr (1980)
  • Canada PEI
  • Minnesota
  • Colorado
  • California
  • Cuba
  • 25.5
  • 20.8
  • 15.1
  • 9.4
  • 2.6

18
Geographical Variation
  • A variation in incidence of type 1 diabetes in
    the British Isles has been observed.
  • Rates in Scotland (20 cases/100,000/year), Wessex
    (17.1 cases/100,000/year) and East Anglia (17.7
    cases/100,000/year), whilst significantly lower
    rates were found in the Thames region (8-12
    cases/100,000/year), Northern Ireland (10.9
    cases/100,000/year) and Eire (6.8
    cases/100,000/year).
  • No geographical pattern is apparent within the
    variation, and the hypothesis of a North-South
    difference is not supported.

19
Geographical variation
  • Statistically significant clustering of incidence
    has been noted in Yorkshire, even at the ward
    level, as well as in Northern Ireland and
    Scotland.
  • The clustering of incident cases of type 1
    diabetes has been linked with deprivation and
    household crowding and suggest environmental,
    rather than genetic, components.
  • A role for ecological factors, such as nitrates
    in drinking water, cannot be excluded.
  • Geographical variation is not unique to Britain
    in Finland regional differences have been
    observed, with an inverse correlation between
    population density and incidence of type 1
    diabetes .

20
Seasonal variation
21
Number of cases per month of Type 1 diabetes
(n226)
22
(No Transcript)
23
Ethnicity and genetics
24
Ethnicity - incidence per 100,000 in different
ethnic groups
  • US Virgin Islands
  • Hispanics 7.2
  • Whites 28.9
  • Blacks 5.9
  • Hokkaido 1.7
  • Aust Euro 13.2

25
Genetics
  • If an identical twin has Type 1 diabetes then in
    50 of cases the other twin will also develop
    Type 1 diabetes.
  • If the twins are not identical then less than 10
    chance.

Kyvik,K. BMJ 1995311913-7
26
Genetic susceptibility
  • HLA-DR3 and HLA-DR4 are more likely to develop
    Type 1 diabetes
  • HLA-DR2 seems protective
  • Genetics cannot be specified on classical lines
    of dominant, recessive or intermediate genes

27
Risk of Type 1 diabetes in siblings.
  • 4 developed Type 1 diabetes by age 22 years.
  • 12 risk in those with HLA DR3 or DR4
  • 56 with raised Islet Cell Antibodies went on to
    diabetes.

Deschamps I. Diabetologia 1992
28
Use of nicotinamide in children with high levels
of circulating ICA.
  • 8 children who were 1 st degree relatives of Type
    1 diabetics with ICA levels above 80 units were
    followed for 5 years. All became diabetic after a
    mean 17 months.
  • 14 other children who were 1 st degree relatives
    and had raised ICA were given 150 - 300 mg
    Nicotinamide and followed for 5 years.
  • 1 became diabetic after 25 months
  • Has led to a major RCT (report in 2003)

Elliott R. Diabetologia 1991
29
Nicotinamide
  • DENIS (Deutsche Nicotinamide Intervention Study)
    showed no difference in randomised trial
    involving 55 children for 3 years. (Lampeter EF.
    Klinghammer A. Scherbaum WA. Heinze E. Haastert
    B. Giani G. Kolb H. The Deutsche Nicotinamide
    Intervention Study an attempt to prevent type 1
    diabetes. DENIS Group. Diabetes. 1998
    47(6)980-4)
  • Much larger multi national randomised trial
    (ENDIT) will report in 2003 (Gale et al)

30
Cows milk
31
Incidence of Type 1 diabetes in relation to mean
yearly consumption of cows milk
Finland
Sweden
UK
NZ
Netherlands
France
Japan
Diabetes Care Nov 1991
32
Cows milk
  • Exclude cows milk from rats diet and the
    incidence of diabetes falls.
  • Children with diabetes have been breast fed for a
    shorter period than controls.
  • Western Samoan children did not get Type 1
    diabetes until they moved to New Zealand

33
Maternal age
34
Maternal age
  • Recent study have suggested Type 1 diabetes in
    children maybe associated with maternal age

35
Cumulative risk of developing diabetes in
siblings of children with Type 1 diabetes in
quintiles (median age range 21 -34 years)
I.F. Douek, P.J. Bingley, E.A.M. Gale. EASD Suppl
1999
36
Viruses
  • Coxsackievirus and cytomegalovirus have both been
    implicated.
  • Multiple infections in early infancy seem to be
    protective

37
Mortality and Morbidity
38
Mortality
  • Mortality in UK patients with Type 1 diabetes

39
SMR by age and sex for people with Type 1 diabetes
Laing et al BDA cohort study. Diabetic medicine
1999 161-7
40
Survival (all causes of death) type 1 diabetes
Probability of survival ()
Age
41
Mortality in Type 1 diabetes over time
McNally P et al. Trends in mortality of
childhood-onset insulin-dependent diabetes
mellitus in Leicestershire 1940-1991.
Diabet.Med. 1995 12 961-966.
42
Summary of aetiological findings
  • Type 1 diabetes is increasing
  • Probably caused by a combination of genetic and
    environmental influences
  • Role of cows milk?
  • Nicotinamide?
  • Seasonal variation
  • Diet?
  • Viruses?

43
Conclusion
  • Incomplete information on aetiological factors
  • A number of possibilities for prevention have
    been raised but have yet to lead to a worthwhile
    population approach
  • Still great potential for preventing increase in
    developed communities
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