HIV/AIDS Epidemiology Update

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HIV/AIDS Epidemiology

Update

February 2009

Dr Nigel Dickson

Director, AIDS Epidemiology Group

Department of Preventive and Social Medicine

University of Otago, Dunedin

Update data on HIV diagnoses through antibody testing

• 2008 figures and trends – 1999-2008

• New analyses

– Ethnicity

– “Late testers”

• Mention new project

– Follow up questionnaires

2008 figures and trends in people diagnosed with HIV through antibody testing – 1999-2008

Care with data …

• Year of diagnosis not infection

• Not all infected in New Zealand will have been diagnosed

• Some infected people (most diagnosed initially overseas) do not have an antibody test in NZ

– the data on these people captured through viral load testing

200

180

160

140

Diagnosed HIV – through antibody testing

– by year of test

Unknown

Perinatal

Other

IDU

Heterosexual contact

Homosexual contact

120

100

80

60

40

20

0

85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08

Year of Diagnosis

50

40

30

20

10

0

80

70

60

100

Annual number of men diagnosed, infected through homosexual contact (MSM)

90

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

70

60

50

40

30

20

10

0

70

60

50

40

30

20

10

0

MSM diagnosed with HIV – 1999-2008

Place of infection

NZ

Overseas

Unk

70

Place of residence at diagnosis

60

50

40

30

20

10

0

Auckland

Other NZ

Overseas/unk

Age at diagnosis Ethnicity

15-19

20-29

30-39

40-49

50+

70

60

50

40

30

20

10

0

Europ

Maori

PI

Asian

African

Other

Men and women diagnosed infected through heterosexual contact

50

45

40

35

30

25

20

15

10

5

0

Men

Women

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

80

70

60

50

40

30

20

10

0

Heterosexually infected men and women diagnosed with HIV – 1999-2008

Place of infection

NZ

Overseas

Unk

35

30

25

20

15

10

5

0

50

45

40

Place of residence at diagnosis

Auckland

Other NZ

Overseas/unk

35

30

25

20

15

10

5

0

50

45

40

Age at diagnosis

<15

15-19

20-29

30-39

40-49

50+

60

50

40

30

20

10

0

Ethnicity

Europ

Maori

PI

Asian

African

Other

International comparison of MSM diagnosis rates – 2000-6

• Data recently published from 27/30 european

(EU/EFTA ) countries

• Canadian, Australian and US data from national surveillance reports

Care with data…

• Different patterns of HIV testing may exist

• Rates of diagnosis derived from number of all men not MSM

160,0

140,0

120,0

100,0

80,0

60,0

40,0

20,0

0,0

HIV diagnosis rate among MSM in major Western European countries + Australia, Canada, US and New Zealand

Per million men aged

15-64yr

2000 2001 2002 2003 2004 2005 2006

Australia

Austria

Belgium

Canada

France

Germany

Greece

Ireland

Italy

Netherlands

Norway

Portugal

Spain

Sweden

Switzerland

United Kingdom

United States

New Zealand

Ethnicity among people diagnosed with HIV through antibody testing

• Information collected from clinician

• Recent decade - 1999-2008

Care with data…

• How ethnicity is determined

• Rates of testing

• Relatively small numbers

Numbers of people diagnosed with

HIV by year and ethnicity

70

60

50

40

90

80

30

20

10

0

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Europ

Maori

PI

Asian

African

Other

Unk

Comparing disease between ethnic groups 1999-2008

Derive and compare rates

– Numerator from clinician, denominator from census

We have looked at… a) …overall comparison of diagnosis rates as an indication of newly recognised burden in these populations b) …comparison of age adjusted rate of diagnosis as a surrogate of infection risk

Comparison of rates of newly diagnosed HIV among children and adults by means of infection

0-14yr

Number

Relative

Rate and

95% CI

European

4

1.0

(Reference)

MSM (all men

15-59yr men)

Number

Relative

Rate and

95% CI

631

1.0

(Reference)

Heterosexual males (all men

15-59yr men)

Number

Relative

Rate and

95% CI

77

1.0

(Reference)

Heterosexual females (all women 15-59yr men)

Number

Relative

Rate and

95% CI

57

1.0

(Reference)

Maori

6

4.5

(1.3-16.0)

92

0.80

(0.64-1.0)

10

0.71

(0.37-1.4)

13

1.2

(0.66-2.2)

Pacific

3

4.6

(1.0-20.7)

26

0.49

(0.33-0.72)

9

1.4

(0.69-2.8)

15

3.1

(1.8-5.5)

Asian

4

8.9

(2.2-35.8)

59

0.76

(0.58-1.0)

52

5.5

(3.9-7.8)

54

7.2

(4.9-10.4)

Other

30

527

(185-1500)

39

4.8

(3.5-6.7)

149

150

(114-197)

171

273

(202-368)

Comparison of risks to predict future disease pattern in New Zealand

• Use diagnosis rates as surrogates for infection rates

• Need to take into account different age structures of population

– Comparing age standardised rates and report as standardised incidence ratios + confidence intervals

• Does the rate of infection in New Zealand give a better indication of likely future trends for infections here?

– Overall SIRs and 95% CI

– ‘”Infected in New Zealand” SIRs and 95% CI

Standardised incidence ratio + 95% CI

All infections

All

MSM

Hetero -

Males

Hetero -

Females

European Maori Pacific Asian Other

1.0

(Reference)

0.82

(0.67-97)

1.0

(Reference)

0.80

(0.64-0.97)

1.0

(Reference)

0.75

(0.36-1.14)

1.0

(Reference)

1.2

(0.62-2.0)

0.83

(0.63-1.07)

0.48

(0.31-0.71)

1.5

(0.67-2.8)

2.7

(1.5-4.5)

2.O

(1.7-2.2)

0.77

(0.59-0.98)

5.9

(4.4-7.7)

6.4

(4.8-10.2)

42

(38-46)

4.7

(3.4-6.5)

154

(130-180)

245

(210-284)

Standardised incidence ratio + 95% CI

People infected in New Zealand

All

MSM

Hetero -

Males

Hetero -

Females

European Maori Pacific Asian Other

1.0

(Reference)

1.0

(Reference)

1.0

(Reference)

1.0

(Reference)

1.3

(1.0-1.6)

1.2

(0.88-1.5)

1.5

(0.48-3.5)

2.8

(1.4-5.0)

0.81

(0.52-1.6)

0.53

(0.28-0.91)

1.3

(0.16-4.7)

3.3

(1.2-7.3)

0.96

(0.70-1.29)

0.75

(0.49-1.1)

1.3

(0.27-3.8)

3.6

1.7-6.7)

5.2

(3.2-7.8)

2.6

(1.2-4.8)

8.1

(1.0-29.3))

27

(9.8-58)

Beware of CIs as small number in reference population

Late diagnoses of HIV infection among adults in New Zealand

“Early” diagnosis of HIV infection allows…

• optimal decision regarding individual’s therapy

• helps in control of spread

– Behaviour change

– Reduction in viral load

“Late” diagnosis doesn’t!

We defined “Late tester” either …

• Diagnosis of AIDS around time of HIV diagnosis

– Within 3/12 of each other

• Initial CD4+ count ‹200 cells per µlitre

Two things influence “late testers” as a proportion of all diagnoses

• Testing practices

• Dynamics of underlying HIV epidemic

A higher proportion of “Late testers” found if:

(a) Less testing of asymptomatic people

(b) In the late-stage of a declining epidemic

(c) Both

682 HIV diagnoses among adults through antibody testing 2005-8

( initial CD4 counts first collected here in 2005)

• Initial CD4 count reported for 71% (490/682)

• Of these 30.6% (150/490) “late testers”

Are there different proportions of “late testers” among people diagnosed by demographic and other characteristics?

“Late testers” by means of infection - 2005-8

MSM

Heterosexual

Other

Unknown

Total

New diagnoses

245

217

6

22

490

‘Late testers’ OR CI (95%)

24.5%

36.9%

33.3%

36.4%

1.0

1.8

Ref.

1.2-1.7

Adj.

OR* CI (95%)

1.0

Ref.

2.0

1.34-3.1

1.6

0.41-11.1

1.2

0.21-7.1

30.6%

* Adjusted for age

Late testers among MSM 2005-8

Year

Age at Diagnosis

Ethnicity

Place of infection

Reason for testing

2005/6

2007/8

<30

30-39

40+

European

Maori

Pacific

Other

New Zealand

Overseas

Symptoms

Other

New diagnoses

127

118

44

85

116

171

32

7

33

185

55

87

154

‘Late testers’

24.4%

24.6%

6.8%

22.4%

32.8%

21.1%

40.6%

28.6%

27.3%

24.9%

23.6%

46.0%

13.0%

OR

CI

(95%)

Adj.

OR* CI (95%)

1.0

Ref.

0.93

0.51-1.7

1.0

Ref.

4.0

1.1-14.5

6.8

2.0-23.4

1.0

4.5

Ref.

1.9-11.0

2.7

0.47-15.1

1.9

0.79-4.8

1.0

Ref.

0.94

0.46-1.95

5.0

1.0

2.6-9.5

Ref.

* Adjusted for age

Late testers among heterosexual men and women -

2005-8 – work in progress

Year

Gender

Age at Diagnosis

Ethnicity

Place of Infection

Reasons for testing

Total

2005/6

2007/8

Men

Women

<30

30-39

40+

European

Maori

Pacific Island

Other

New Zealand

Overseas

Unknown

Symptoms

Immigration medical

Other

Unknown

New diagnoses

125

92

110

107

47

90

80

40

11

8

158

40

169

8

62

69

81

5

217

“Late testers”

32.8%

42.4%

45.5%

28.0%

27.7%

34.4%

45.0%

42.5%

54.5%

50.0%

33.5%

37.5%

37.3%

25.0%

66.1%

26.1%

19.8%

100.0%

36.9%

Some international comparisons

Country

NZ†

France†

Source

National surveillance

6 tertiary centers

UK and

Ireland*

Info. from providers

(76% RR)

Australia† National surveillance

Year

CD4<200 (+/- clinical late)

Overall MSM Hetero

2005-8 30.6% 24.5% M 46%

F 28%

2004 –5 31.5% Hetero>MSM

2006

2000-6

33%

Est 25%

20%

19.5%

M 43%

F 36%

Est. 39%

† CD4<200+clinical late *CD4<200

New initiative

• Follow up questionnaire with clinician 3/12 post diagnosis

– Up date information

– Check for AIDS diagnosis

– Ask about partner notification

• Clinicians asked to give questionnaire to patient for him/her to return directly to us

– Circumstances of HIV acquisition (if known)

– Includes the census ethnicity question

Conclusions

• Worrying continuing increased level of new diagnoses

– Safest to assume a reflection of new infections

• Rise in diagnosis rate in New Zealand also seen in most

Western European countries, US, Canada and Australia between 2000-2006

• Burden of new diagnoses not borne equally but all ethnic groups

• If diagnosis rate of infections within New Zealand a surrogate for infection rates no major differences between ethnic groups among men, but among women relative to European women, women of “other” ethnic groups, Pacific and Maori women at greater risk

• Late diagnosis rates slightly higher than Australia and similar to

UK and France

– Among MSM late diagnosis higher among Maori

My recommendations

• Review current of national strategy and action for HIV prevention + surveillance

• Consider when prevention needs to be specific for HIV and when it should be part of general STI prevention

• Improve surveillance of other STIs to identify risks among MSM

Acknowledgements

• Organisers and funders of this meeting

• Funding of AEG Ministry of Health

• Clinicians who provide data

• Other members of AEG

– Sue McAllister (Research Officer)

– Charlotte Paul (Epidemiologist)

– Katrina Sharples (Statistician)

– Patricia Priest (Epidemiologist) www.aidsepigroup.otago.ac.nz/

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