Éditeur(s) :
HAL CCSD BioMed Central Résumé : International audience
Background: HCV treatment uptake has drastically increased in HIV-HCV coinfected patients in France since direct-acting antiviral (DAA) treatment approval, resulting in HCV cure in 63% of all HIV-HCV patients by the end of 2015. We investigated the impact of scaling-up DAA on HCV prevalence in the whole HIV population and in various risk groups over the next 10 years in France using a transmission dynamic compartmental model.Methods: The model was based on epidemiological data from the French Dat’AIDS cohort. Eight risk groups wereconsidered, including high-risk (HR) and low-risk (LR) men who have sex with men (MSM) and male/female heterosexuals,intra-venous drug users, or patients from other risk groups. The model was calibrated on prevalence and incidence dataobserved in the cohort between 2012 and 2015.Results: On January 1, 2016, 156,811 patients were registered as infected with HIV in France (24,900 undiagnosedpatients) of whom 7938 (5.1%) had detectable HCV-RNA (722 undiagnosed patients). Assuming a treatmentcoverage (TC) rate of 30%/year (i.e., the observed rate in 2015), model projections showed that HCV prevalenceamong HIV patients is expected to drop to 0.81% in 2026. Sub-analyses showed a similar decrease of HIV-HCVprevalence in most risk groups, including LR MSM. Due to higher infection and reinfection rates, predicted prevalencein HR MSM remained stable from 6.96% in 2016 to 6.34% in 2026. Increasing annual TC rate in HR MSM to 50/70%would decrease HCV prevalence in this group to 2.35/1.25% in 2026. With a 30% TC rate, undiagnosed patients wouldaccount for 34% of HCV infections in 2026.Conclusions: Our model suggests that DAA could nearly eliminate coinfection in France within 10 years for most riskgroups, including LR MSM. Elimination in HR MSM will require increased TC.
ISSN: 1741-7015
Droits : info:eu-repo/semantics/OpenAccess
inserm-01685739
http://www.hal.inserm.fr/inserm-01685739 http://www.hal.inserm.fr/inserm-01685739/document http://www.hal.inserm.fr/inserm-01685739/file/2017%2C%20Virlogeux%20-%20Modeling%20HIV-HCV%20coinfection.pdf DOI : 10.1186/s12916-017-0979-1