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Increasing HIV-1 Drug Resistance Between 2010 and 2012 in Adults Participating in Population-Based HIV Surveillance in Rural KwaZulu-Natal, South Africa.

ABSTRACT: As more human immunodeficiency virus (HIV)-infected patients access combination antiretroviral therapy (cART), higher proportions of newly infected patients may be infected with drug-resistant viruses. Regular surveillance of transmitted drug resistance (TDR) is required in southern Africa where high rates of transmission persist despite rapid expansion of ART. Dried blood spot samples from cART-naive participants from two rounds of an annual population-based HIV surveillance program in rural KwaZulu-Natal were tested for HIV RNA, and samples with HIV RNA >10,000 copies/ml were genotyped for drug resistance. The 2009 surveillance of drug resistance mutation (SDRM) list was used for drug resistance interpretation. The data were added to previously published data from the same program, and the ?(2) test for trend was used to test for trend in estimated prevalence of any TDR. Seven hundred and one participants' data were analyzed: 67 (2010), 381 (2011), and 253 (2012). No TDR was detected in 2010. Years 2011 and 2012 had 18 participants with SDRMs 4.7% and 7.1%, respectively (p?=?.02, ?(2) test for trend). The nonnucleoside reverse transcriptase inhibitor mutation, K103N, was the most common mutation, occurring in 27 (3.8%) of the participants, while nucleoside reverse transcriptase inhibitor (NRTI) SDRMs were detected in 10 (1.4%) of the participants, of whom eight had only a single NRTI SDRM. The increase in levels of drug resistance observed in this population could be a signal of increasing transmission of drug-resistant HIV. Thus, continued surveillance is critical to inform public health policies around HIV treatment and prevention.

SUBMITTER: Manasa J

PROVIDER: S-EPMC4971422 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Increasing HIV-1 Drug Resistance Between 2010 and 2012 in Adults Participating in Population-Based HIV Surveillance in Rural KwaZulu-Natal, South Africa.

Manasa Justen J Danaviah Siva S Lessells Richard R Elshareef Muna M Tanser Frank F Wilkinson Eduan E Pillay Sureshnee S Mthiyane Hloniphile H Mwambi Henry H Pillay Deenan D de Oliveira Tulio T

AIDS research and human retroviruses 20160420 8

As more human immunodeficiency virus (HIV)-infected patients access combination antiretroviral therapy (cART), higher proportions of newly infected patients may be infected with drug-resistant viruses. Regular surveillance of transmitted drug resistance (TDR) is required in southern Africa where high rates of transmission persist despite rapid expansion of ART. Dried blood spot samples from cART-naive participants from two rounds of an annual population-based HIV surveillance program in rural Kw ...[more]

PMID: 27002368

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Project description:ObjectivesResearch on migration and HIV has largely focused on male migration, often failing to measure HIV risks associated with migration for women. We aimed to establish whether associations between migration and HIV infection differ for women and men, and identify possible mechanisms by which women's migration contributes to their high infection risk.DesignData on socio-demographic characteristics, patterns of migration, sexual behavior and HIV infection status were obtained for a population of 11,677 women aged 15-49 and men aged 15-54, resident members of households within a demographic surveillance area participating in HIV surveillance in 2003-04.MethodsLogistic regression was conducted to examine whether sex and migration were independently associated with HIV infection in three additive effects models, using measures of recent migration, household presence and migration frequency. Multiplicative effects models were fitted to explore whether the risk of HIV associated with migration differed for males and females. Further modeling and simulations explored whether composition or behavioral differences accounted for observed associations.ResultsRelative to non-migrant males, non-migrant females had higher odds of being HIV-positive (adjusted odds ratio [aOR] = 1.72; 95% confidence interval [1.49-1.99]), but odds were higher for female migrants (aOR = 2.55 [2.07-3.13]). Female migrants also had higher odds of infection relative to female non-migrants (aOR = 1.48 [1.23-1.77]). The association between number of sexual partners over the lifetime and HIV infection was modified by both sex and migrant status: For male non-migrants, each additional partner was associated with 3% higher odds of HIV infection (aOR = 1.03 [1.02-1.05]); for male migrants the association between number of partners and HIV infection was non-significant. Each additional partner increased odds of HIV infection by 22% for female non-migrants (aOR = 1.22 [1.12-1.32]) and 46% for female migrants (aOR = 1.46 [1.25-1.69]).ConclusionsHigher risk sexual behavior in the context of migration increased women's likelihood of HIV infection.

Project description:INTRODUCTION:High levels of HIV seroconcordance at the population level reduce the potential for effective HIV transmission. However, the level of HIV seroconcordance is largely unknown among heterosexual couples in sub-Saharan Africa. We aimed to quantify the population level HIV seroconcordance in stable heterosexual couples in rural South Africa. METHODS:We followed adults (≥15 years old) using a population-based, longitudinal and open surveillance system in KwaZulu-Natal, South Africa, from 2003 to 2016. Sexual partnerships and HIV status were confirmed via household surveys and annual HIV surveillance. We calculated the proportions of HIV seroconcordance and serodiscordance in stable sexual partnerships and compared them to the expected proportions under the assumption of random mixing using individual-based microsimulation models. Among unpartnered individuals, we estimated the incidence rates and hazard of sexual partnership formation with HIV-positive or HIV-negative partners by participants' own time-varying HIV status. Competing risks survival regressions were fitted adjusting for sociodemographic and clinical factors. We also calculated Newman's assortativity coefficients. RESULTS:A total of 18,341 HIV-negative and 11,361 HIV-positive individuals contributed 154,469 person-years (PY) of follow-up. Overall, 28% of the participants were in stable sexual partnerships. Of the 677 newly formed stable sexual partnerships, 7.7% (95% CI: 5.8 to 10.0) were HIV-positive seroconcordant (i.e. both individuals in the partnership were HIV-positive), which was three times higher than the expected proportion (2.3%) in microsimulation models based on random mixing. The incidence rates of sexual partnership formation were 0.54/1000PY with HIV-positive, 1.12/1000PY with HIV-negative and 2.65/1000PY with unknown serostatus partners. HIV-positive individuals had 2.39 (95% CI: 1.43 to 3.99) times higher hazard of forming a sexual partnership with an HIV-positive partner than did HIV-negative individuals after adjusting for age, opposite-sex HIV prevalence (by 5-years age groups), HIV prevalence in the surrounding community, ART coverage and other sociodemographic factors. Similarly, forming a sexual partnership with an HIV-negative partner was 1.47 (95% CI: 1.01 to 2.14) times higher in HIV-negative individuals in the adjusted model. Newman's coefficient also showed that assortativity by participant and partner HIV status was moderate (r = 0.35). CONCLUSIONS:A high degree of population level HIV seroconcordance (both positive and negative) was observed at the time of forming new sexual partnerships. Understanding factors driving these patterns may help the development of strategies to bring the HIV epidemic under control.

Project description:IntroductionRapid HIV tests have improved access to HIV diagnosis and treatment by providing quick and convenient testing in rural clinics and resource-limited settings. In this study, we evaluated the quality management system for voluntary and provider-initiated point-of-care HIV testing in primary healthcare (PHC) clinics in rural KwaZulu-Natal (KZN), South Africa.Material and methodsWe conducted a quality assessment audit in eleven PHC clinics that offer voluntary HIV testing and counselling in rural KZN, South Africa from August 2015 to October 2016. All the participating clinics were purposively selected from the province-wide survey of diagnostic services. We completed an on-site monitoring checklist, adopted from the WHO guidelines for assuring accuracy and reliability of HIV rapid tests, to assess the quality management system for HIV rapid testing at each clinic. To determine clinic's compliance to WHO quality standards for HIV rapid testing the following quality measure was used, a 3-point scale (high, moderate and poor). A high score was defined as a percentage rating of 90 to 100%, moderate was defined as a percentage rating of 70 to 90%, and poor was defined as a percentage rating of less than 70%. Clinic audit scores were summarized and compared. We employed Pearson pair wise correlation coefficient to determine correlations between clinics audit scores and clinic and clinics characteristics. Linear regression model was computed to estimate statistical significance of the correlates. Correlations were reported as significant at p ≤0.05.ResultsNine out of 11 audited rural PHC clinics are located outside 20Km of the nearest town and hospital. Majority (18.2%) of the audited rural PHC clinics reported that HIV rapid test was performed by HIV lay counsellors. Overall, ten clinics were rated moderate, in terms of their compliance to the stipulated WHO guidelines. Audit results showed that rural PHC clinics' average rating score for compliance to the WHO guidelines ranged between 64.4% (CI: 44%- 84%) and 89.2% (CI: 74%- 100%).Ten out of eleven of the clinics were rated as moderate (70-89%). All clinic have scored highest for the following audit component: equipment; process control and specimen management; and facility ad safety, with 100%. Clinics obtained the lowest scores for the assessment audit component followed by process improvement and organisation, with 40.9% (CI: 15.7-66.1%), 45.5% (CI: 10.4-80.5%) and 56.8% (CI: 31.8 81.8%), respectively. A statistically significant correlation was observed between the following: category of staff performing the HIV rapid tests in the audited clinics and service and satisfactory audit component; weekly average number of patients using the audited PHC clinics and service and satisfactory audit component; number of HIV lay counsellors in the audited clinics and quality control audit component with p<0.05.DiscussionIn the small audit of primary healthcare clinics located within the rural part of KwaZulu-Natal, results revealed an overall moderate rating of the quality management system for rapid HIV testing. Improvements in the organisation, quality control, process improvement and assessment components could enable a higher quality assurance rating for rural HIV testing in KwaZulu-Natal.

Dataset Information

Increasing HIV-1 Drug Resistance Between 2010 and 2012 in Adults Participating in Population-Based HIV Surveillance in Rural KwaZulu-Natal, South Africa.

Publications

Increasing HIV-1 Drug Resistance Between 2010 and 2012 in Adults Participating in Population-Based HIV Surveillance in Rural KwaZulu-Natal, South Africa.

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