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Human immunodeficiency virus (HIV) infection and infective endocarditis are serious complications of injection drug use. To determine whether HIV infection may increase the risk of endocarditis beyond that associated with drug injection, we performed a nested case-control study among injecting drug users taking part in an ongoing cohort. We identified 26 participants with infective endocarditis between cohort enrollment (in 1988-1989) and June 1992, through reviews of medical records and death certificates. We matched each endocarditis case with up to five controls (N = 120) on enrollment date, race/ethnicity, and follow-up time. Data were taken from baseline and from the one follow-up visit: the last visit before the endocarditis occurred for cases and the closest visit (+/- 3 months) for controls. We used conditional logistic regression to quantify the association between HIV serostatus at follow-up and subsequent endocarditis, after adjusting for a history of endocarditis or sepsis before enrollment, injection duration, current injection frequency, and a recent history of abscess at injection sites. Among current injectors at follow-up, the adjusted odds ratio (OR) of developing endocarditis for HIV-seropositive subjects with > or = 350 CD4 cells per microliter, compared with HIV-seronegative subjects, was 2.31 [95% confidence interval (CI) = 0.61-8.78]; the corresponding OR for HIV-seropositive subjects with < 350 CD4 cells per microliter was 8.31 (95% CI = 1.23-56.37). These data indicate that HIV-related immunodeficiency may independently increase the risk of infective endocarditis among injecting drug users.

Original publication

DOI

10.1097/00001648-199611000-00001

Type

Journal

Epidemiology (Cambridge, Mass.)

Publication Date

11/1996

Volume

7

Pages

566 - 570

Addresses

Department of Epidemiology, Johns Hopkins University School of Hygiene and Public Health, Baltimore, MD 21205, USA.

Keywords

Humans, Sepsis, HIV Infections, Endocarditis, Substance Abuse, Intravenous, CD4 Lymphocyte Count, Multivariate Analysis, Logistic Models, Risk Factors, Poisson Distribution, Case-Control Studies, Adult, Middle Aged, Female, Male