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Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study
BACKGROUND: Direct-acting antivirals (DAAs) are recommended for the treatment of hepatitis C virus (HCV) infection in patients treated with methadone or buprenorphine. AIM: To assess HCV treatment rates in an Opioid Treatment Program (OTP). METHODS: This longitudinal study included 501 patients (81....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579757/ https://www.ncbi.nlm.nih.gov/pubmed/33132641 http://dx.doi.org/10.3748/wjg.v26.i38.5874 |
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author | Sanvisens, Arantza Rivas, Inmaculada Faure, Eva Espinach, Néstor Hernandez-Rubio, Anna Majó, Xavier Colom, Joan Muga, Robert |
author_facet | Sanvisens, Arantza Rivas, Inmaculada Faure, Eva Espinach, Néstor Hernandez-Rubio, Anna Majó, Xavier Colom, Joan Muga, Robert |
author_sort | Sanvisens, Arantza |
collection | PubMed |
description | BACKGROUND: Direct-acting antivirals (DAAs) are recommended for the treatment of hepatitis C virus (HCV) infection in patients treated with methadone or buprenorphine. AIM: To assess HCV treatment rates in an Opioid Treatment Program (OTP). METHODS: This longitudinal study included 501 patients (81.4% men, median age: 45 years; interquartile range: 39-50 years) enrolled in an OTP between October 2015 and September 2017. Patients were followed until September 2019. Data on socio-demographics, substance use, HCV infection, human immunodeficiency virus (HIV) infection and laboratory parameters were collected at entry. We analyzed medical records to evaluate HCV treatment. Kaplan-Meier methods and Cox regression models were used to analyze the DAA treatment uptake and to identify treatment predictors. RESULTS: Prevalence of HCV and HIV infection was 70% and 34%, respectively. Among anti-HCV-positive (n = 336) patients, 47.2%, 41.3%, and 31.9% used alcohol, cannabis, and cocaine, respectively. HCV-RNA tests were positive in 233 (69.3%) patients. Twentyeight patients (8.3%) cleared the infection, and 59/308 (19.1%) had received interferon-based treatment regimens before 2015. Among 249 patients eligible, 111 (44.6%) received DAAs. Treatment rates significantly increased over time from 7.8/100 person-years (p-y) (95%CI: 5.0-12.3) in 2015 to 18.9/100 p-y (95%CI: 11.7-30.3) in 2019. In a multivariate analysis, patients with HIV co-infection were twice as likely to receive DAAs (HR = 1.94, 95%CI: 1.21-3.12) than patients with HCV mono-infection. Current drug use was an independent risk factor for not receiving treatment against infection (HR = 0.48, 95%CI: 0.29-0.80). CONCLUSION: HCV treatment is evolving in patients with HCV-HIV co-infection. Ongoing drug use while in an OTP might negatively impact the readiness to treat infection. |
format | Online Article Text |
id | pubmed-7579757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-75797572020-10-29 Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study Sanvisens, Arantza Rivas, Inmaculada Faure, Eva Espinach, Néstor Hernandez-Rubio, Anna Majó, Xavier Colom, Joan Muga, Robert World J Gastroenterol Observational Study BACKGROUND: Direct-acting antivirals (DAAs) are recommended for the treatment of hepatitis C virus (HCV) infection in patients treated with methadone or buprenorphine. AIM: To assess HCV treatment rates in an Opioid Treatment Program (OTP). METHODS: This longitudinal study included 501 patients (81.4% men, median age: 45 years; interquartile range: 39-50 years) enrolled in an OTP between October 2015 and September 2017. Patients were followed until September 2019. Data on socio-demographics, substance use, HCV infection, human immunodeficiency virus (HIV) infection and laboratory parameters were collected at entry. We analyzed medical records to evaluate HCV treatment. Kaplan-Meier methods and Cox regression models were used to analyze the DAA treatment uptake and to identify treatment predictors. RESULTS: Prevalence of HCV and HIV infection was 70% and 34%, respectively. Among anti-HCV-positive (n = 336) patients, 47.2%, 41.3%, and 31.9% used alcohol, cannabis, and cocaine, respectively. HCV-RNA tests were positive in 233 (69.3%) patients. Twentyeight patients (8.3%) cleared the infection, and 59/308 (19.1%) had received interferon-based treatment regimens before 2015. Among 249 patients eligible, 111 (44.6%) received DAAs. Treatment rates significantly increased over time from 7.8/100 person-years (p-y) (95%CI: 5.0-12.3) in 2015 to 18.9/100 p-y (95%CI: 11.7-30.3) in 2019. In a multivariate analysis, patients with HIV co-infection were twice as likely to receive DAAs (HR = 1.94, 95%CI: 1.21-3.12) than patients with HCV mono-infection. Current drug use was an independent risk factor for not receiving treatment against infection (HR = 0.48, 95%CI: 0.29-0.80). CONCLUSION: HCV treatment is evolving in patients with HCV-HIV co-infection. Ongoing drug use while in an OTP might negatively impact the readiness to treat infection. Baishideng Publishing Group Inc 2020-10-14 2020-10-14 /pmc/articles/PMC7579757/ /pubmed/33132641 http://dx.doi.org/10.3748/wjg.v26.i38.5874 Text en ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Observational Study Sanvisens, Arantza Rivas, Inmaculada Faure, Eva Espinach, Néstor Hernandez-Rubio, Anna Majó, Xavier Colom, Joan Muga, Robert Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study |
title | Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study |
title_full | Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study |
title_fullStr | Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study |
title_full_unstemmed | Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study |
title_short | Monitoring hepatitis C virus treatment rates in an Opioid Treatment Program: A longitudinal study |
title_sort | monitoring hepatitis c virus treatment rates in an opioid treatment program: a longitudinal study |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579757/ https://www.ncbi.nlm.nih.gov/pubmed/33132641 http://dx.doi.org/10.3748/wjg.v26.i38.5874 |
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