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Hepatitis B and C co-infection in HIV/AIDS population in the state of Michigan

Published online by Cambridge University Press:  12 March 2013

Z. A. BUTT*
Affiliation:
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA Health Services Academy, Opposite National Institute of Health (NIH), Chak Shahzad, Islamabad, Pakistan
M. J. WILKINS
Affiliation:
Program in Public Health, Michigan State University, East Lansing, MI, USA
E. HAMILTON
Affiliation:
Body Art, Viral Hepatitis & HIV Analysis Unit, HIV/STD/VH/TB Epidemiology Section, Michigan Department of Community Health, Lansing, MI, USA
D. TODEM
Affiliation:
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
J. C. GARDINER
Affiliation:
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
M. SAEED
Affiliation:
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA Department of LACS, Food Safety and Toxicology Center, Michigan State University, East Lansing, MI, USA
*
*Author for correspondence: Dr Z. A. Butt, Department of Epidemiology and Biostatistics, B601 West Fee Hall, Michigan State University, East Lansing, MI 48824, USA. (Email: zabutt3@yahoo.com)
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Summary

A retrospective cohort study was conducted from 1 January 2006 to 31 December 2009 in Michigan to estimate the prevalence of HIV and hepatitis co-infection and identify associated factors. The prevalence of co-infection was 4·1% [95% confidence interval (CI) 3·8–4·5]. Multivariable logistic regression analysis revealed a significant association between co-infection and being male and: of Black race [odds ratio (OR) 2·0, 95% CI 1·2–3·6] and of Other race (OR 3·5, 95% CI 1·7–7·0) compared to Hispanic race. A significant association was found between co-infection and risk categories of blood products (OR 11·1, 95% CI 6·2–20·2), injecting drug user (IDU) (OR 3·6, 95% CI 2·7–4·8) and men who have sex with men/IDU (OR 3·4, 95% CI 2·4–4·9) in addition to two interactions; one between sex and current HIV status and the other between current HIV status and age at HIV diagnosis. Our results document the changing epidemiology of HIV–hepatitis co-infection which can guide preventive measures and interventions to reduce the prevalence of hepatitis co-infection.

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Original Papers
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Table 1. Distribution of basic characteristics of the HIV/AIDS-infected individuals in Michigan (n = 13 936)

Figure 1

Table 2. Multivariable analysis of different factors associated with co-infection in HIV-infected individuals in the state of Michigan