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Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study

BACKGROUND: Antiretroviral therapy markedly reduced mortality in HIV-infected individuals. However, in the previous studies, up to 50% of patients are compelled to modify their regimen in middle and low-income countries where salvage drug is still limited. This cohort study aimed to investigate the...

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Autores principales: Tsuchiya, Naho, Pathipvanich, Panita, Wichukchinda, Nuanjun, Rojanawiwat, Archawin, Auwanit, Wattana, Ariyoshi, Koya, Sawanpanyalert, Pathom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226857/
https://www.ncbi.nlm.nih.gov/pubmed/25361850
http://dx.doi.org/10.1186/s12879-014-0565-5
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author Tsuchiya, Naho
Pathipvanich, Panita
Wichukchinda, Nuanjun
Rojanawiwat, Archawin
Auwanit, Wattana
Ariyoshi, Koya
Sawanpanyalert, Pathom
author_facet Tsuchiya, Naho
Pathipvanich, Panita
Wichukchinda, Nuanjun
Rojanawiwat, Archawin
Auwanit, Wattana
Ariyoshi, Koya
Sawanpanyalert, Pathom
author_sort Tsuchiya, Naho
collection PubMed
description BACKGROUND: Antiretroviral therapy markedly reduced mortality in HIV-infected individuals. However, in the previous studies, up to 50% of patients are compelled to modify their regimen in middle and low-income countries where salvage drug is still limited. This cohort study aimed to investigate the incidence and predictors of regimen modification from the first-line antiretroviral regimen in northern Thailand. METHODS: All HIV-infected patients starting antiretroviral therapy (ART) with generic drug (GPOvir®; stavudine, lamivudine and nevirapine) at a governmental hospital in northern Thailand from 2002 to 2007 were recruited. Baseline characteristics and detailed information of regimen modification until the end of 2010 were ascertained from cohort database and medical charts. As a potential genetic predictor of regimen modification, HLA B allele was determined by bead-based array hybridization (WAKFlow® HLA typing kit). We investigated predictors of the regimen modification using Cox’s proportional hazard models. RESULTS: Of 979 patients, 914 were eligible for the analysis. The observed events of regimen modification was 377, corresponding to an incidence 13.8/100 person-year-observation (95% CI:12.5-15.3) over 2,728 person years (PY) follow up. The main reasons for regimen modification were adverse effects (73.5%), especially lipodystrophy (63.2%) followed by rash (17.7%). Sixty three patients (17.1%) changed the regimen due to treatment failure. 2% and 19% of patients had HLA-B*35:05 and B*4001, respectively. HLA-B*35:05 was independently associated with rash-related regimen modification (aHR 7.73, 95% CI:3.16-18.9) while female gender was associated with lipodystrophy (aHR 2.11, 95% CI:1.51-2.95). Female gender (aHR 0.54, 95% CI: 0.30-0.96), elder age (aHR 0.56, 95% CI: 0.32-0.99) and having HLA-B*40:01 (aHR 0.29, 95% CI: 0.10-0.82) were protective for treatment failure related modification. CONCLUSION: HLA-B*35:05 and female gender were strong predictors of regimen modification due to rash and lipodystrophy, respectively. Female gender, elder age, and having HLA-B*40:01 had protective effects on treatment failure-related regimen modification. This study provides further information of regimen modification for future tailored ART in Asia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-014-0565-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-42268572014-11-12 Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study Tsuchiya, Naho Pathipvanich, Panita Wichukchinda, Nuanjun Rojanawiwat, Archawin Auwanit, Wattana Ariyoshi, Koya Sawanpanyalert, Pathom BMC Infect Dis Research Article BACKGROUND: Antiretroviral therapy markedly reduced mortality in HIV-infected individuals. However, in the previous studies, up to 50% of patients are compelled to modify their regimen in middle and low-income countries where salvage drug is still limited. This cohort study aimed to investigate the incidence and predictors of regimen modification from the first-line antiretroviral regimen in northern Thailand. METHODS: All HIV-infected patients starting antiretroviral therapy (ART) with generic drug (GPOvir®; stavudine, lamivudine and nevirapine) at a governmental hospital in northern Thailand from 2002 to 2007 were recruited. Baseline characteristics and detailed information of regimen modification until the end of 2010 were ascertained from cohort database and medical charts. As a potential genetic predictor of regimen modification, HLA B allele was determined by bead-based array hybridization (WAKFlow® HLA typing kit). We investigated predictors of the regimen modification using Cox’s proportional hazard models. RESULTS: Of 979 patients, 914 were eligible for the analysis. The observed events of regimen modification was 377, corresponding to an incidence 13.8/100 person-year-observation (95% CI:12.5-15.3) over 2,728 person years (PY) follow up. The main reasons for regimen modification were adverse effects (73.5%), especially lipodystrophy (63.2%) followed by rash (17.7%). Sixty three patients (17.1%) changed the regimen due to treatment failure. 2% and 19% of patients had HLA-B*35:05 and B*4001, respectively. HLA-B*35:05 was independently associated with rash-related regimen modification (aHR 7.73, 95% CI:3.16-18.9) while female gender was associated with lipodystrophy (aHR 2.11, 95% CI:1.51-2.95). Female gender (aHR 0.54, 95% CI: 0.30-0.96), elder age (aHR 0.56, 95% CI: 0.32-0.99) and having HLA-B*40:01 (aHR 0.29, 95% CI: 0.10-0.82) were protective for treatment failure related modification. CONCLUSION: HLA-B*35:05 and female gender were strong predictors of regimen modification due to rash and lipodystrophy, respectively. Female gender, elder age, and having HLA-B*40:01 had protective effects on treatment failure-related regimen modification. This study provides further information of regimen modification for future tailored ART in Asia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-014-0565-5) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-30 /pmc/articles/PMC4226857/ /pubmed/25361850 http://dx.doi.org/10.1186/s12879-014-0565-5 Text en © Tsuchiya et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Tsuchiya, Naho
Pathipvanich, Panita
Wichukchinda, Nuanjun
Rojanawiwat, Archawin
Auwanit, Wattana
Ariyoshi, Koya
Sawanpanyalert, Pathom
Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study
title Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study
title_full Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study
title_fullStr Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study
title_full_unstemmed Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study
title_short Incidence and predictors of regimen-modification from first-line antiretroviral therapy in Thailand: a cohort study
title_sort incidence and predictors of regimen-modification from first-line antiretroviral therapy in thailand: a cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226857/
https://www.ncbi.nlm.nih.gov/pubmed/25361850
http://dx.doi.org/10.1186/s12879-014-0565-5
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