Dataset Information

Antiretroviral Drug Use and HIV Drug Resistance Among Young Women in Rural South Africa: HPTN 068.

ABSTRACT:

Background

Antiretroviral (ARV) drugs are used for HIV treatment and prevention. We analyzed ARV drug use and HIV drug resistance in a cohort of young women in rural South Africa enrolled in the HIV Prevention Trials Network (HPTN) 068 study, which evaluated the use of a cash transfer conditional on school attendance to reduce HIV incidence.

Methods

ARV drug testing was performed using plasma samples from 2526 young women. This included 2526 enrollment samples (80 HIV-infected and 2446 HIV-uninfected) and 162 seroconversion samples (first HIV-positive study visit). Testing was performed using a qualitative assay that detects 20 ARV drugs from 5 drug classes. HIV drug resistance testing was performed with the ViroSeq HIV-1 Genotyping System for samples that had HIV viral loads ≥400 copies per milliliter.

Results

At enrollment, ARV drugs were detected in 10 (12.5%) of 80 HIV-infected young women. None of 2446 HIV-uninfected young women had ARV drugs detected at enrollment. ARV drugs were also detected in 16 (9.9%) of 162 seroconverters. At enrollment, 9 (13.4%) of 67 young women with genotyping results had HIV drug resistance; resistance was also detected in 9 (6.9%) of 131 seroconverters with genotyping results.

Conclusions

Most of the HIV-infected young women in this cohort from rural South Africa were not taking ARV drugs, suggesting they were unaware of their HIV status or were not in care. HIV drug resistance was detected in young women with both prevalent and new HIV infection.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC6185777 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

Antiretroviral Drug Use and HIV Drug Resistance Among Young Women in Rural South Africa: HPTN 068.

Zhang Yinfeng Y Sivay Mariya V MV Hudelson Sarah E SE Clarke William W Breaud Autumn A Wang Jing J Piwowar-Manning Estelle E Agyei Yaw Y Fogel Jessica M JM Hamilton Erica L EL Selin Amanda A MacPhail Catherine C Kahn Kathleen K Gómez-Olivé Francesc Xavier FX Hughes James P JP Pettifor Audrey A Eshleman Susan H SH

Journal of acquired immune deficiency syndromes (1999) 20181101 3

<h4>Background</h4>Antiretroviral (ARV) drugs are used for HIV treatment and prevention. We analyzed ARV drug use and HIV drug resistance in a cohort of young women in rural South Africa enrolled in the HIV Prevention Trials Network (HPTN) 068 study, which evaluated the use of a cash transfer conditional on school attendance to reduce HIV incidence.<h4>Methods</h4>ARV drug testing was performed using plasma samples from 2526 young women. This included 2526 enrollment samples (80 HIV-infected and ...[more]

PMID: 29985265

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Project description:BackgroundSouth Africa has one of the highest rates of HIV-1 (HIV) infection world-wide, with the highest rates among young women. We analyzed the molecular epidemiology and evolutionary history of HIV in young women attending high school in rural South Africa.MethodsSamples were obtained from the HPTN 068 randomized controlled trial, which evaluated the effect of cash transfers for school attendance on HIV incidence in women aged 13-20 years (Mpumalanga province, 2011-2015). Plasma samples from HIV-infected participants were analyzed using the ViroSeq HIV-1 Genotyping assay. Phylogenetic analysis was performed using 200 pol gene study sequences and 2,294 subtype C reference sequences from South Africa. Transmission clusters were identified using Cluster Picker and HIV-TRACE, and were characterized using demographic and other epidemiological data. Phylodynamic analyses were performed using the BEAST software.ResultsThe study enrolled 2,533 young women who were followed through their expected high school graduation date (main study); some participants had a post-study assessment (follow-up study). Two-hundred-twelve of 2,533 enrolled young women had HIV infection. HIV pol sequences were obtained for 94% (n = 201/212) of the HIV-infected participants. All but one of the sequences were HIV-1 subtype C; the non-C subtype sequence was excluded from further analysis. Median pairwise genetic distance between the subtype C sequences was 6.4% (IQR: 5.6-7.2). Overall, 26% of study sequences fell into 21 phylogenetic clusters with 2-6 women per cluster. Thirteen (62%) clusters included women who were HIV-infected at enrollment. Clustering was not associated with study arm, demographic or other epidemiological factors. The estimated date of origin of HIV subtype C in the study population was 1958 (95% highest posterior density [HPD]: 1931-1980), and the median estimated substitution rate among study pol sequences was 1.98x10-3 (95% HPD: 1.15x10-3-2.81x10-3) per site per year.ConclusionsPhylogenetic analysis suggests that multiple HIV subtype C sublineages circulate among school age girls in South Africa. There were no substantive differences in the molecular epidemiology of HIV between control and intervention arms in the HPTN 068 trial.

Project description:BackgroundCash transfers have been proposed as an intervention to reduce HIV-infection risk for young women in sub-Saharan Africa. However, scarce evidence is available about their effect on reducing HIV acquisition. We aimed to assess the effect of a conditional cash transfer on HIV incidence among young women in rural South Africa.MethodsWe did a phase 3, randomised controlled trial (HPTN 068) in the rural Bushbuckridge subdistrict in Mpumalanga province, South Africa. We included girls aged 13-20 years if they were enrolled in school grades 8-11, not married or pregnant, able to read, they and their parent or guardian both had the necessary documentation necessary to open a bank account, and were residing in the study area and intending to remain until trial completion. Young women (and their parents or guardians) were randomly assigned (1:1), by use of numbered sealed envelopes containing a randomisation assignment card which were numerically ordered with block randomisation, to receive a monthly cash transfer conditional on school attendance (≥80% of school days per month) versus no cash transfer. Participants completed an Audio Computer-Assisted Self-Interview (ACASI), before test HIV counselling, HIV and herpes simplex virus (HSV)-2 testing, and post-test counselling at baseline, then at annual follow-up visits at 12, 24, and 36 months. Parents or guardians completed a Computer-Assisted Personal Interview at baseline and each follow-up visit. A stratified proportional hazards model was used in an intention-to-treat analysis of the primary outcome, HIV incidence, to compare the intervention and control groups. This study is registered at ClinicalTrials.gov (NCT01233531).FindingsBetween March 5, 2011, and Dec 17, 2012, we recruited 10 134 young women and enrolled 2537 and their parents or guardians to receive a cash transfer programme (n=1225) or not (control group; n=1223). At baseline, the median age of girls was 15 years (IQR 14-17) and 672 (27%) had reported to have ever had sex. 107 incident HIV infections were recorded during the study: 59 cases in 3048 person-years in the intervention group and 48 cases in 2830 person-years in the control group. HIV incidence was not significantly different between those who received a cash transfer (1·94% per person-years) and those who did not (1·70% per person-years; hazard ratio 1·17, 95% CI 0·80-1·72, p=0·42).InterpretationCash transfers conditional on school attendance did not reduce HIV incidence in young women. School attendance significantly reduced risk of HIV acquisition, irrespective of study group. Keeping girls in school is important to reduce their HIV-infection risk.FundingNational Institute of Allergy and Infectious Diseases, National Institute of Mental Health of the National Institutes of Health.

Dataset Information

Antiretroviral Drug Use and HIV Drug Resistance Among Young Women in Rural South Africa: HPTN 068.

Background

Methods

Results

Conclusions

Publications

Antiretroviral Drug Use and HIV Drug Resistance Among Young Women in Rural South Africa: HPTN 068.

Similar Datasets

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