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. 2023 Oct 16;12(10):1248.
doi: 10.3390/pathogens12101248.

Screening for Hepatitis C Virus Reinfection Using a Behaviour-Based Risk Score among Men Who Have Sex with Men with HIV: Results from a Case-Control Diagnostic Validation Study

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Screening for Hepatitis C Virus Reinfection Using a Behaviour-Based Risk Score among Men Who Have Sex with Men with HIV: Results from a Case-Control Diagnostic Validation Study

Kris Hage et al. Pathogens. .

Abstract

We assessed the predictive capacity of the HCV-MOSAIC risk score, originally developed for primary early HCV infection, as a screening tool for HCV reinfection in 103 men who have sex with men (MSM) with HIV using data from the MOSAIC cohort, including MSM with HIV/HCV-coinfection who became reinfected (cases, n = 27) or not (controls, n = 76) during follow-up. The overall predictive capacity of the score was assessed using the area under the receiver operating characteristic (AUROC) curve. The effects of covariates on the receiver operating characteristic (ROC) curve were assessed using parametric ROC regression. The score cut-off validated for primary early infection (≥2.0) was used, from which the sensitivity and specificity were calculated. The AUROC was 0.74 (95% confidence interval (CI) = 0.63-0.84). Group sex significantly increased the predictive capacity. Using the validated cut-off, sensitivity was 70.4% (95%CI = 49.8-86.2%) and specificity was 59.2% (95%CI: 47.3-70.4%). External validation from a cohort of 25 cases and 111 controls, all MSM with HIV, resulted in a sensitivity of 44.0% (95%CI = 24.4-65.1) and specificity of 71.2% (95%CI = 61.8-79.4). The HCV-MOSAIC risk score may be useful for identifying individuals at risk of HCV reinfection. In sexual health or HIV-care settings, this score could help guide HCV-RNA testing in MSM with a prior HCV infection.

Keywords: HCV; HCV reinfection; HIV/hepatitis C virus coinfection; MSM; risk behaviour.

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Conflict of interest statement

J.S.’s institution has received research support and consultancy fees from Gilead and a speaker’s fee from Janssen Pharmaceuticals, independent from the submitted work. M. P.’s institution has received speaker fees and independent scientific support from Gilead Sciences, Roche, MSD, and Abbvie outside the submitted work. M. V.’s institution has received consultancy fees from Gilead, MSD, and ViiV outside the submitted work and research grants from Gilead, Merck Sharp Dome, and ViiV. K. B. has served on (inter)national advisory boards for Gilead, ViiV, Janssen, and MSD outside the submitted work. B. R. has received grants from MSD and Gilead Sciences and participated in advisory boards and received travel support from MSD, Janssen-Cilag, Bristol-Myers Squibb, Gilead Sciences, Pfizer, and ViiV Healthcare outside the submitted work. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

Figures

Figure 1
Figure 1
Non-parametric receiver operating characteristic (ROC) curve of the HCV-MOSAIC risk score for reinfection in the training dataset. ROC, receiver operating characteristic.
Figure 2
Figure 2
Parametric ROC curve for the HCV-MOSAIC risk score according to engaging in group sex in the training dataset.
Figure 3
Figure 3
Non-parametric receiver operating characteristic (ROC) curve of the HCV-MOSAIC risk score for reinfection in the external validation dataset. ROC, receiver operating characteristic.

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