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Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study

BACKGROUND: Tenofovir-containing regimens comprise the preferred first-line antiretroviral therapy (ART) in many countries including South Africa, where utilization of second-line regimens is limited. Considerable HIV drug resistance has occurred among persons failing tenofovir-containing first-line...

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Autores principales: Abbas, Ume L., Glaubius, Robert L., Ding, Yajun, Hood, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609148/
https://www.ncbi.nlm.nih.gov/pubmed/31269034
http://dx.doi.org/10.1371/journal.pone.0218649
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author Abbas, Ume L.
Glaubius, Robert L.
Ding, Yajun
Hood, Gregory
author_facet Abbas, Ume L.
Glaubius, Robert L.
Ding, Yajun
Hood, Gregory
author_sort Abbas, Ume L.
collection PubMed
description BACKGROUND: Tenofovir-containing regimens comprise the preferred first-line antiretroviral therapy (ART) in many countries including South Africa, where utilization of second-line regimens is limited. Considerable HIV drug resistance has occurred among persons failing tenofovir-containing first-line ART. We evaluated drug resistance at the population level using mathematical modeling. SETTING: Heterosexual HIV epidemic in KwaZulu-Natal, South Africa. METHODS: We constructed a stochastic individual-based model and simulated scenarios of ART implementation, either CD4-based (threshold < 500 cells/mL) or Fast-track (81% coverage by 2020), with consideration of major drug-associated mutations (M184V, K65R and non-nucleoside reverse transcriptase inhibitor (NNRTI)). Using base case and uncertainty analyses, we assessed (majority) drug resistance levels. RESULTS: By 2030, the median total resistance (proportion of HIV-infected persons with drug resistance) is predicted to reach 31.4% (interquartile range (IQR): 16.5%-50.2%) with CD4-based ART, decreasing to 14.5% (IQR: 7.7%-25.8%) with Fast-track implementation. In both scenarios, we find comparably high prevalence (~80%) of acquired NNRTI-associated, M184V and K65R mutations. Over 48% of individuals with acquired resistance harbor dual, 44% triple and 7% just single drug mutations. Drug-resistant HIV is predicted to comprise 40% (IQR: 27%-50%) of incident infections, while 70% of prevalent transmitted resistance is NNRTI-associated. At 2018, the projected total resistance is 15% (IQR: 7.5%-25%), with 18% (IQR: 13%-24%) of incident infections from transmitted drug-resistant HIV. CONCLUSIONS: WHO-recommended preferred first-line ART could lead to substantial drug resistance. Effective surveillance of HIV drug resistance and utilization of second-line as well as alternative first-line regimens is crucial.
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spelling pubmed-66091482019-07-12 Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study Abbas, Ume L. Glaubius, Robert L. Ding, Yajun Hood, Gregory PLoS One Research Article BACKGROUND: Tenofovir-containing regimens comprise the preferred first-line antiretroviral therapy (ART) in many countries including South Africa, where utilization of second-line regimens is limited. Considerable HIV drug resistance has occurred among persons failing tenofovir-containing first-line ART. We evaluated drug resistance at the population level using mathematical modeling. SETTING: Heterosexual HIV epidemic in KwaZulu-Natal, South Africa. METHODS: We constructed a stochastic individual-based model and simulated scenarios of ART implementation, either CD4-based (threshold < 500 cells/mL) or Fast-track (81% coverage by 2020), with consideration of major drug-associated mutations (M184V, K65R and non-nucleoside reverse transcriptase inhibitor (NNRTI)). Using base case and uncertainty analyses, we assessed (majority) drug resistance levels. RESULTS: By 2030, the median total resistance (proportion of HIV-infected persons with drug resistance) is predicted to reach 31.4% (interquartile range (IQR): 16.5%-50.2%) with CD4-based ART, decreasing to 14.5% (IQR: 7.7%-25.8%) with Fast-track implementation. In both scenarios, we find comparably high prevalence (~80%) of acquired NNRTI-associated, M184V and K65R mutations. Over 48% of individuals with acquired resistance harbor dual, 44% triple and 7% just single drug mutations. Drug-resistant HIV is predicted to comprise 40% (IQR: 27%-50%) of incident infections, while 70% of prevalent transmitted resistance is NNRTI-associated. At 2018, the projected total resistance is 15% (IQR: 7.5%-25%), with 18% (IQR: 13%-24%) of incident infections from transmitted drug-resistant HIV. CONCLUSIONS: WHO-recommended preferred first-line ART could lead to substantial drug resistance. Effective surveillance of HIV drug resistance and utilization of second-line as well as alternative first-line regimens is crucial. Public Library of Science 2019-07-03 /pmc/articles/PMC6609148/ /pubmed/31269034 http://dx.doi.org/10.1371/journal.pone.0218649 Text en © 2019 Abbas et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Abbas, Ume L.
Glaubius, Robert L.
Ding, Yajun
Hood, Gregory
Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study
title Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study
title_full Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study
title_fullStr Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study
title_full_unstemmed Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study
title_short Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study
title_sort drug resistance from preferred antiretroviral regimens for hiv infection in south africa: a modeling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609148/
https://www.ncbi.nlm.nih.gov/pubmed/31269034
http://dx.doi.org/10.1371/journal.pone.0218649
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