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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Main Authors: Ume L Abbas, Robert L Glaubius, Yajun Ding, Gregory Hood
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0218649
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spelling doaj-c448515d1b694f10b29b41474911f8a72021-03-03T20:35:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01147e021864910.1371/journal.pone.0218649Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study.Ume L AbbasRobert L GlaubiusYajun DingGregory HoodBACKGROUND: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.https://doi.org/10.1371/journal.pone.0218649
collection DOAJ
language English
format Article
sources DOAJ
author Ume L Abbas
Robert L Glaubius
Yajun Ding
Gregory Hood
spellingShingle Ume L Abbas
Robert L Glaubius
Yajun Ding
Gregory Hood
Drug resistance from preferred antiretroviral regimens for HIV infection in South Africa: A modeling study.
PLoS ONE
author_facet Ume L Abbas
Robert L Glaubius
Yajun Ding
Gregory Hood
author_sort Ume L Abbas
title 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_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_sort drug resistance from preferred antiretroviral regimens for hiv infection in south africa: a modeling study.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
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.
url https://doi.org/10.1371/journal.pone.0218649
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