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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5733872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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