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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6609148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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