BACKGROUNDUniversal antiretroviral therapy (ART) with annual population testing and a multidisease, patient-centered strategy could reduce new human immunodeficiency virus (HIV) infections and improve community health. METHODSWe randomly assigned 32 rural communities in Uganda and Kenya to baseline HIV and multidisease testing and national guideline-restricted ART (control group) or to baseline testing plus annual testing, eligibility for universal ART, and patient-centered care (intervention group). The primary end point was the cumulative incidence of HIV infection at 3 years. Secondary end points included viral suppression, death, tuberculosis, hypertension control, and the change in the annual incidence of HIV infection (which was evaluated in the intervention group only). RESULTSA total of 150,395 persons were included in the analyses. Population-level viral suppression among 15,399 HIV-infected persons was 42% at baseline and was higher in the intervention group than in the control group at 3 years (79% vs. 68%; relative prevalence, 1.15; 95% confidence interval [CI], 1.11 to 1.20). The annual incidence of HIV infection in the intervention group decreased by 32% over 3 years (from 0.43 to 0.31 cases per 100 personyears; relative rate, 0.68; 95% CI, 0.56 to 0.84). However, the 3-year cumulative incidence (704 incident HIV infections) did not differ significantly between the intervention group and the control group (0.77% and 0.81%, respectively; relative risk, 0.95; 95% CI, 0.77 to 1.17). Among HIV-infected persons, the risk of death by year 3 was 3% in the intervention group and 4% in the control group (0.99 vs. 1.29 deaths per 100 person-years; relative risk, 0.77; 95% CI, 0.64 to 0.93). The risk of HIV-associated tuberculosis or death by year 3 among HIV-infected persons was 4% in the intervention group and 5% in the control group (1.19 vs. 1.50 events per 100 person-years; relative risk, 0.79; 95% CI, 0.67 to 0.94). At 3 years, 47% of adults with hypertension in the intervention group and 37% in the control group had hypertension control (relative prevalence, 1.26; 95% CI, 1.15 to 1.39). CONCLUSIONSUniversal HIV treatment did not result in a significantly lower incidence of HIV infection than standard care, probably owing to the availability of comprehensive baseline HIV testing and the rapid expansion of ART eligibility in the control group. (Funded by the National Institutes of Health and others; SEARCH ClinicalTrials.gov number, NCT01864603.

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Few studies have sought to understand factors influencing uptake and continuation of pre-exposure prophylaxis (PrEP) among young adults in sub-Saharan Africa in the context of population-based delivery of open-label PrEP. To address this gap, this qualitative study was implemented within the SEARCH study (NCT#01864603) in Kenya and Uganda, which achieved near-universal HIV testing, and offered PrEP in 16 intervention communities beginning in 2016-2017. Focus group discussions (8 groups, n = 88 participants) and in-depth interviews (n = 23) with young adults who initiated or declined PrEP were conducted in five communities, to explore PrEP-related beliefs and attitudes, HIV risk perceptions, motivations for uptake and continuation, and experiences. Grounded theoretical methods were used to analyze data. Young people felt personally vulnerable to HIV, but perceived the severity of HIV to be low, due to the success of antiretroviral therapy (ART): daily pilltaking was more threatening than the disease itself. Motivations for PrEP were highly gendered: young men viewed PrEP as a vehicle for safely pursuing multiple partners, while young women saw PrEP as a means to control risks in the context of engagement in transactional sex and limited agency to negotiate condom use and partner testing. Rumors, HIV/ART-related stigma, and desire for "proof" of efficacy militated against uptake, and many women required partners' permission to take PrEP. Uptake was motivated by high perceived HIV risk, and beliefs that PrEP use supported life goals. PrEP was often discontinued due to dissolution of partnerships/changing risk, unsupportive partners/peers, or early side effects/pill burden. Despite high perceived risks and interest, PrEP was received with moral ambivalence because of its associations with HIV/ ART and stigmatized behaviors. Delivery models that promote youth access, frame messaging on wellness and goals, and foster partner and peer support, may facilitate uptake among young people.

Among youth on PrEP, adherence waned over time. Self-report overestimated adherence, and use of Wisepill was limited. Hair collection was highly acceptable and provided similar interpretations to DBS. Incorporation of either metric in future PrEP studies among youth could identify suboptimal adherence and trigger interventions.

Objective Hair concentrations are a non-invasive measure of cumulative antiretroviral (ARV) exposure and the strongest predictor of viral suppression in large cohorts of non-pregnant patients. We examined hair concentrations of ARVs in relation to virologic outcomes in pregnant and breastfeeding women for the first time. Design/Methods The PROMOTE trial (NCT00993031) enrolled HIV-infected pregnant Ugandan women at 12–28 weeks gestation who were randomized to lopinavir or efavirenz-based antiretroviral therapy (ART). Small hair samples were collected at 30–34 weeks gestation and 10–25 weeks postpartum. Efavirenz and lopinavir hair concentrations were measured via liquid chromatography/tandem mass spectrometry. Multivariate logistic regression models examined predictors of viral suppression (HIV-1 RNA ≤400 copies/ml) at delivery and 24 weeks postpartum. Results Among 325 women, median CD4 cell count was 366 cells/mm3 (IQR 270–488) at ART initiation. Mean self-reported 3-day adherence was >97% in each arm. Viral suppression was achieved by 98.0% (efavirenz) and 87.4% (lopinavir) at delivery. At 24 weeks postpartum, 92.5% (efavirenz) and 90.6% (lopinavir) achieved viral suppression; 88% of women were breastfeeding. In multivariate models including self-reported adherence and pretreatment HIV-1 RNA, ARV hair concentrations were the strongest predictors of viral suppression at delivery (efavirenz: aOR 1.86 per doubling in concentration, 95% CI 1.14–3.1, P=0.013; lopinavir: aOR 1.90, 95% CI 1.33–2.7, P=0.0004) and 24 weeks postpartum (efavirenz: aOR 1.81, 95% CI 1.22–2.7, P=0.003; lopinavir: aOR 1.53, 95% CI: 1.05–2.2, P=0.026). Conclusions ARV hair concentrations represent an innovative tool that strongly predicts viral suppression among HIV-infected childbearing women during the critical periods of delivery and breastfeeding.

These results demonstrate the potential utility of selected biomarkers to distinguish patients with the highest risk for treatment failure and bacteremia-related complications, providing a valuable tool for clinicians in the management of S. aureus bacteremia. Additionally, these biomarkers could identify patients with the greatest potential to benefit from novel therapies in clinical trials.

Background In generalized epidemic settings, strategies are needed to prioritize individuals at higher risk of human immunodeficiency virus (HIV) acquisition for prevention services. We used population-level HIV testing data from rural Kenya and Uganda to construct HIV risk scores and assessed their ability to identify seroconversions. Methods During 2013–2017, >75% of residents in 16 communities in the SEARCH study were tested annually for HIV. In this population, we evaluated 3 strategies for using demographic factors to predict the 1-year risk of HIV seroconversion: membership in ≥1 known “risk group” (eg, having a spouse living with HIV), a “model-based” risk score constructed with logistic regression, and a “machine learning” risk score constructed with the Super Learner algorithm. We hypothesized machine learning would identify high-risk individuals more efficiently (fewer persons targeted for a fixed sensitivity) and with higher sensitivity (for a fixed number targeted) than either other approach. Results A total of 75 558 persons contributed 166 723 person-years of follow-up; 519 seroconverted. Machine learning improved efficiency. To achieve a fixed sensitivity of 50%, the risk-group strategy targeted 42% of the population, the model-based strategy targeted 27%, and machine learning targeted 18%. Machine learning also improved sensitivity. With an upper limit of 45% targeted, the risk-group strategy correctly classified 58% of seroconversions, the model-based strategy 68%, and machine learning 78%. Conclusions Machine learning improved classification of individuals at risk of HIV acquisition compared with a model-based approach or reliance on known risk groups and could inform targeting of prevention strategies in generalized epidemic settings. Clinical Trials Registration NCT01864603.

Pre-exposure prophylaxis (PrEP) with oral tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC) prevented HIV acquisition among men and women in several trials and is broadly recommended. In the VOICE and FEM-PrEP trials, however, TDF/FTC-based PrEP did not prevent HIV acquisition among women in eastern and southern Africa. Tenofovir was detected in plasma, reflecting exposure and adherence in recent days, in fewer than one-third of participants. Drug concentrations in hair, which represent cumulative exposure and adherence over weeks to months, have never previously been examined among women on PrEP. We compared tenofovir hair concentrations among women assigned to oral TDF/FTC in the VOICE trial to those among men and transgender women enrolled in 2 open-label PrEP studies, the iPrEx open-label extension (OLE) study and the U.S. PrEP Demonstration Project (PrEP Demo). Tenofovir hair concentrations were detectable in 55% of person-visits in VOICE, 75% of person-visits in iPrEx OLE (p = .006), and 98% of person-visits in PrEP Demo (p < .001). Median tenofovir hair concentrations corresponded to an estimated 0.2, 2.9, and 6.0 TDF/FTC doses taken per week in the three studies, respectively. In VOICE, combining tenofovir concentration data from plasma and hair suggested inconsistent, low-level product use. Incorporation of both short- and long-term adherence measures may allow for an improved understanding of patterns of drug-taking among women during global PrEP roll-out.