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Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination

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 w...

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Autores principales: Virlogeux, Victor, Zoulim, Fabien, Pugliese, Pascal, Poizot-Martin, Isabelle, Valantin, Marc-Antoine, Cuzin, Lise, Reynes, Jacques, Billaud, Eric, Huleux, Thomas, Bani-Sadr, Firouze, Rey, David, Frésard, Anne, Jacomet, Christine, Duvivier, Claudine, Cheret, Antoine, Hustache-Mathieu, Laurent, Hoen, Bruno, Cabié, André, Cotte, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733872/
https://www.ncbi.nlm.nih.gov/pubmed/29249202
http://dx.doi.org/10.1186/s12916-017-0979-1
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author Virlogeux, Victor
Zoulim, Fabien
Pugliese, Pascal
Poizot-Martin, Isabelle
Valantin, Marc-Antoine
Cuzin, Lise
Reynes, Jacques
Billaud, Eric
Huleux, Thomas
Bani-Sadr, Firouze
Rey, David
Frésard, Anne
Jacomet, Christine
Duvivier, Claudine
Cheret, Antoine
Hustache-Mathieu, Laurent
Hoen, Bruno
Cabié, André
Cotte, Laurent
author_facet Virlogeux, Victor
Zoulim, Fabien
Pugliese, Pascal
Poizot-Martin, Isabelle
Valantin, Marc-Antoine
Cuzin, Lise
Reynes, Jacques
Billaud, Eric
Huleux, Thomas
Bani-Sadr, Firouze
Rey, David
Frésard, Anne
Jacomet, Christine
Duvivier, Claudine
Cheret, Antoine
Hustache-Mathieu, Laurent
Hoen, Bruno
Cabié, André
Cotte, Laurent
author_sort Virlogeux, Victor
collection PubMed
description 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 were considered, 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 data observed 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 undiagnosed patients) of whom 7938 (5.1%) had detectable HCV-RNA (722 undiagnosed patients). Assuming a treatment coverage (TC) rate of 30%/year (i.e., the observed rate in 2015), model projections showed that HCV prevalence among HIV patients is expected to drop to 0.81% in 2026. Sub-analyses showed a similar decrease of HIV-HCV prevalence in most risk groups, including LR MSM. Due to higher infection and reinfection rates, predicted prevalence in 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 would account for 34% of HCV infections in 2026. CONCLUSIONS: Our model suggests that DAA could nearly eliminate coinfection in France within 10 years for most risk groups, including LR MSM. Elimination in HR MSM will require increased TC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0979-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-57338722017-12-21 Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination Virlogeux, Victor Zoulim, Fabien Pugliese, Pascal Poizot-Martin, Isabelle Valantin, Marc-Antoine Cuzin, Lise Reynes, Jacques Billaud, Eric Huleux, Thomas Bani-Sadr, Firouze Rey, David Frésard, Anne Jacomet, Christine Duvivier, Claudine Cheret, Antoine Hustache-Mathieu, Laurent Hoen, Bruno Cabié, André Cotte, Laurent BMC Med Research Article 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 were considered, 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 data observed 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 undiagnosed patients) of whom 7938 (5.1%) had detectable HCV-RNA (722 undiagnosed patients). Assuming a treatment coverage (TC) rate of 30%/year (i.e., the observed rate in 2015), model projections showed that HCV prevalence among HIV patients is expected to drop to 0.81% in 2026. Sub-analyses showed a similar decrease of HIV-HCV prevalence in most risk groups, including LR MSM. Due to higher infection and reinfection rates, predicted prevalence in 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 would account for 34% of HCV infections in 2026. CONCLUSIONS: Our model suggests that DAA could nearly eliminate coinfection in France within 10 years for most risk groups, including LR MSM. Elimination in HR MSM will require increased TC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0979-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-18 /pmc/articles/PMC5733872/ /pubmed/29249202 http://dx.doi.org/10.1186/s12916-017-0979-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Virlogeux, Victor
Zoulim, Fabien
Pugliese, Pascal
Poizot-Martin, Isabelle
Valantin, Marc-Antoine
Cuzin, Lise
Reynes, Jacques
Billaud, Eric
Huleux, Thomas
Bani-Sadr, Firouze
Rey, David
Frésard, Anne
Jacomet, Christine
Duvivier, Claudine
Cheret, Antoine
Hustache-Mathieu, Laurent
Hoen, Bruno
Cabié, André
Cotte, Laurent
Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination
title Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination
title_full Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination
title_fullStr Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination
title_full_unstemmed Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination
title_short Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination
title_sort modeling hiv-hcv coinfection epidemiology in the direct-acting antiviral era: the road to elimination
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733872/
https://www.ncbi.nlm.nih.gov/pubmed/29249202
http://dx.doi.org/10.1186/s12916-017-0979-1
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