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. 2018 Nov 5:4-5:99-108.
doi: 10.1016/j.eclinm.2018.10.006. eCollection 2018 Oct-Nov.

Syndemic Characterization of HCV, HBV, and HIV Co-infections in a Large Population Based Cohort Study

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Syndemic Characterization of HCV, HBV, and HIV Co-infections in a Large Population Based Cohort Study

Geoffrey McKee et al. EClinicalMedicine. .

Abstract

Background: Limited data are available on HBV, HCV, and HIV co-infections and triple infection. We characterized co-occurrence of HIV, HBV, and HCV infections at the population level in British Columbia (BC) to identify patterns of predisposing factors unique to co-infection subgroups.

Methods: We analyzed data from the BC Hepatitis Testers Cohort, which includes all individuals tested for HCV or HIV in BC between 1992 and 2013, or included in provincial public health registries of HIV, HCV, HBV, and active tuberculosis. Individuals were classified as negative, mono-, and co-infection groups based on HIV, HBV, and HCV status. We evaluated associations between risk factors (injection drug use, sexual orientation etc.) and co-infection groups using multivariate multinomial logistic regression.

Findings: Of a total of 1,376,989 individuals included in the analysis, 1,276,290 were negative and 100,699 were positive for HIV, HBV, and/or HCV. Most cases (91,399, 90.8%) were mono-infected, while 3991 (4.0%) had HBV/HCV, 670 HBV/HIV (0.7%), 3459 HCV/HIV (3.4%), and 1180 HBV/HCV/HIV (1.2%) co-infection. Risk factor and demographic distribution varied across co-infection categories. MSM classification was associated with higher odds of all HIV co-infection groups, particularly HBV/HIV (OR 6.8; 95% CI: 5.6, 8.27), while injection drug use was most strongly associated with triple infection (OR 64.19; 95% CI: 55.11, 74.77) and HIV/HCV (OR 23.23; 95% CI: 21.32, 25.31).

Interpretation: Syndemics of substance use, sexual practices, mental illness, socioeconomic marginalization, and co-infections differ among population groups, highlighting avenues for optimal composition and context for health services to meet each population's unique needs.

Funding: BC Centre for Disease Control and Canadian Institutes of Health Research.

Keywords: Co-infection; HIV; Hepatitis B; Hepatitis C; Substance use; Syndemics.

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Figures

Fig. 1
Fig. 1
Flowchart illustrating participant selection and stratification for analysis.
Fig. 2
Fig. 2
Venn diagram illustrating the number of individuals within each co-infection group.
Fig. 3
Fig. 3
Comparison of OR for HBV, HCV, and HIV co-infection groups derived from multivariable multinomial logistic regression model stratified by selected characteristics, the BC-HTC, 1990–2013. Dotted line represent OR of 1, null effect.

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