Predictors of HIV infection among newly sentenced male prisoners.
The prevalence of individuals with or at risk for HIV infection in prisons and jails is severalfold higher than age-adjusted rates in surrounding communities. This HIV serosurvey of 975 newly sentenced male prisoners employed a new methodology that anonymously linked individual information to HIV serologic data. The HIV prevalence was 6.1%; multivariate regression analysis indicated injection drug use (OR = 18.9), black race (OR = 5.5), Hispanic ethnicity (OR = 3.4), psychiatric illness (OR = 3.1) and a history of having had a sexually transmitted disease (OR = 2.2) were independent predictors of HIV infection. Laboratory markers such as hypoalbuminemia, an elevated aspartate aminotransferase (AST) level, leukopenia, anemia, and thrombocytopenia suggest increased risk for HIV among prisoners, particularly in settings where HIV testing resources are scarce. This study, unlike those reported in other geographic regions, indicated that the majority (71%) of HIV-seropositive persons self-reported their HIV status. This finding may suggest that HIV-infected individuals will self-report their status if HIV care is comprehensive and consistent. The large number of HIV-infected individuals within prisons makes prisons important sites for the introduction of comprehensive HIV-related care. This is particularly relevant in that development of new guidelines issued for the management of HIV infection in which potent combination antiretroviral therapy has been demonstrated to decrease morbidity and mortality. The high prevalence of HIV-seronegative inmates with self-reported high-risk behaviors also suggests the importance of prisons as sites for the introduction of appropriate risk-reduction interventions.
Yale University AIDS Program, New Haven, Connecticut 06510-2283, USA. Frederick.Altice@Yale.Edu
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Altice
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Mostashari
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Selwyn
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Singh
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Tanguay
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Blanchette
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001803:Blood Transfusion / Q000706:statistics & numerical data; D015986:Confounding Factors, Epidemiologic; D003237:Connecticut / Q000453:epidemiology; D004632:Emergency Medical Services / Q000706:statistics & numerical data; D005544:Forecasting; D015483:HIV Antibodies / Q000097:blood*; D006679:HIV Seropositivity / Q000453:epidemiology*; D015497:HIV-1 / Q000276:immunology*; D006402:Hematologic Diseases / Q000150:complications; D006525:Hepatitis, Viral, Human / Q000150:complications; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000150:complications; D015995:Prevalence; D011320:Primary Health Care / Q000706:statistics & numerical data; D011329:Prisoners / Q000706:statistics & numerical data*; D012307:Risk Factors; D012725:Sexual Behavior; D012749:Sexually Transmitted Diseases / Q000150:complications; D015819:Substance Abuse, Intravenous / Q000150:complications; D014376:Tuberculosis / Q000150:complications; D014948:Wounds, Gunshot / Q000150:complications
D015483:HIV Antibodies