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High rates of patient attrition from care between HIV testing and antiretroviral therapy (ART) initiation have been documented in sub-Saharan Africa, contributing to persistently low CD4 cell counts at treatment initiation. One reason for this is that starting ART in many countries is a lengthy and burdensome process, imposing long waits and multiple clinic visits on patients. We estimated the effect on uptake of ART and viral suppression of an accelerated initiation algorithm that allowed treatment-eligible patients to be dispensed their first supply of antiretroviral medications on the day of their first HIV-related clinic visit. RapIT (Rapid Initiation of Treatment) was an unblinded randomized controlled trial of single-visit ART initiation in two public sector clinics in South Africa, a primary health clinic (PHC) and a hospital-based HIV clinic. Adult (≥18 y old), non-pregnant patients receiving a positive HIV test or first treatment-eligible CD4 count were randomized to standard or rapid initiation. Patients in the rapid-initiation arm of the study (\"rapid arm\") received a point-of-care (POC) CD4 count if needed; those who were ART-eligible received a POC tuberculosis (TB) test if symptomatic, POC blood tests, physical exam, education, counseling, and antiretroviral (ARV) dispensing. Patients in the standard-initiation arm of the study (\"standard arm\") followed standard clinic procedures (three to five additional clinic visits over 2-4 wk prior to ARV dispensing). Follow up was by record review only. The primary outcome was viral suppression, defined as initiated, retained in care, and suppressed (≤400 copies/ml) within 10 mo of study enrollment. Secondary outcomes included initiation of ART ≤90 d of study enrollment, retention in care, time to ART initiation, patient-level predictors of primary outcomes, prevalence of TB symptoms, and the feasibility and acceptability of the intervention. A survival analysis was conducted comparing attrition from care after ART initiation between the groups among those who initiated within 90 d. Three hundred and seventy-seven patients were enrolled in the study between May 8, 2013 and August 29, 2014 (median CD4 count 210 cells/mm3). In the rapid arm, 119/187 patients (64%) initiated treatment and were virally suppressed at 10 mo, compared to 96/190 (51%) in the standard arm (relative risk [RR] 1.26 [1.05-1.50]). In the rapid arm 182/187 (97%) initiated ART ≤90 d, compared to 136/190 (72%) in the standard arm (RR 1.36, 95% confidence interval [CI], 1.24-1.49). Among 318 patients who did initiate ART within 90 d, the hazard of attrition within the first 10 mo did not differ between the treatment arms (hazard ratio [HR] 1.06; 95% CI 0.61-1.84). The study was limited by the small number of sites and small sample size, and the generalizability of the results to other settings and to non-research conditions is uncertain. Offering single-visit ART initiation to adult patients in South Africa increased uptake of ART by 36% and viral suppression by 26%. This intervention should be considered for adoption in the public sector in Africa. ClinicalTrials.gov NCT01710397, and South African National Clinical Trials Register DOH-27-0213-4177.

Background. The clinical status of human immunodeficiency virus (HIV)—positive persons at the time of presentation to medical care has important individual- and population-level implications. Methods. We synthesized the literature on clinical status of adults newly presenting to care for HIV infection in developed countries to generate an estimate of the time trend for CD4 cell count at the initiation of HIV care. We systematically searched PubMed for studies published between January 2000 and November 2011 to identify those that reported CD4 cell count for patients newly presenting to HIV care according to standardized inclusion criteria. We abstracted the mean or median CD4 cell count or reconstructed the mean CD4 cell count from the presented data describing the number or proportion of patients in CD4 cell count categories. We estimated the change in CD4 cell count over time by modeling it as a weighted linear function of calendar year. Results. Based on a meta-regression of 197 point estimates encompassing CD4 cell count measurements from 169 007 patients in 44 studies, mean CD4 cell count at presentation increased minimally by 1.5 cells/μL per year (95% CI, −6.1 to 5.5 cells/μL per year), from 307 cells/μL in 1992 to 336 cells/μL in 2011. Conclusions. In developed countries, patients' CD4 cell counts at first presentation to medical care have not increased meaningfully over the past 20 years. New and innovative strategies are imperative to identify persons earlier in the course of their infection and link them promptly with medical care.

Severely immunocompromised human immunodeficiency virus (HIV)-infected individuals have high mortality shortly after starting antiretroviral therapy (ART). We investigated predictors of early mortality and \"late presenter\" phenotypes. The Reduction of EArly MortaLITY (REALITY) trial enrolled ART-naive adults and children ≥5 years of age with CD4 counts <100 cells/µL initiating ART in Uganda, Zimbabwe, Malawi, and Kenya. Baseline predictors of mortality through 48 weeks were identified using Cox regression with backwards elimination (exit P > .1). Among 1711 included participants, 203 (12%) died. Mortality was independently higher with older age; lower CD4 count, albumin, hemoglobin, and grip strength; presence of World Health Organization stage 3/4 weight loss, fever, or vomiting; and problems with mobility or self-care at baseline (all P < .04). Receiving enhanced antimicrobial prophylaxis independently reduced mortality (P = .02). Of five late-presenter phenotypes, Group 1 (n = 355) had highest mortality (25%; median CD4 count, 28 cells/µL), with high symptom burden, weight loss, poor mobility, and low albumin and hemoglobin. Group 2 (n = 394; 11% mortality; 43 cells/µL) also had weight loss, with high white cell, platelet, and neutrophil counts suggesting underlying inflammation/infection. Group 3 (n = 218; 10% mortality) had low CD4 counts (27 cells/µL), but low symptom burden and maintained fat mass. The remaining groups had 4%-6% mortality. Clinical and laboratory features identified groups with highest mortality following ART initiation. A screening tool could identify patients with low CD4 counts for prioritizing same-day ART initiation, enhanced prophylaxis, and intensive follow-up. ISRCTN43622374.

WHO guidelines recommend early initiation of antiretroviral therapy (ART) irrespective of CD4 cell count for all patients with tuberculosis who also have HIV, but evidence supporting this approach is poor quality. We assessed the effect of timing of ART initiation on tuberculosis treatment outcomes for HIV-positive patients with CD4 counts of 220 cells per μL or more. We did this randomised, placebo-controlled trial between Jan 1, 2008, and April 31, 2013 at 26 treatment centres in South Africa, Tanzania, Uganda, and Zambia. We enrolled HIV-positive patients with culture-confirmed tuberculosis who had tolerated 2 weeks of tuberculosis short course chemotherapy. Participants were randomly allocated (1:1) to early ART (starting after 2 weeks of tuberculosis treatment) or delayed ART (placebo, then starting ART at the end of 6 months of tuberculosis treatment). Randomisation was computer generated, with permuted blocks of size eight, and stratified by CD4 count (220–349 cells per μL vs ≥350 cells per μL). Patients and investigators were masked to treatment allocation until completion of 6-months' tuberculosis treatment, after which the study was open label. The primary endpoint was a composite of failure of tuberculosis treatment, tuberculosis recurrence, and death within 12 months of starting tuberculosis treatment in the modified intention-to-treat population. Secondary endpoints included mortality. The study is registered with controlled-trials.com (ISRCTN77861053). We screened 13 588 patients and enrolled 1675: 834 assigned early ART, 841 delayed ART. The primary endpoint was reached by 65 (8·5%) of 767 patients in the early ART group versus 71 (9·2%) of 771 in the delayed ART group (relative risk [RR] 0·91, 95% CI 0·64–1·30; p=0·9). Of patients with a CD4 cell count of 220–349 cells per μL, 26 (7·9%) of 331 patients versus 33 (9·6%) of 342 reached the primary endpoint (RR 0·80, 95% CI 0·46–1·39; p=0·6). For those with 350 cells per μL or more, 39 (8·9%) of 436 versus 38 (8·9%) of 429 reached the primary endpoint (RR 1·01, 95% CI 0·63–1·62; p=0·4). Mortality did not differ significantly between treatment groups (RR 1·4, 95% CI 0·8–2·3; p=0·23). Grade 3 and 4 adverse events occurred in 149 (18%) of 834 patients assigned early ART versus 174 (21%) of 841 assigned delayed ART (p=0·37). 87 (10%) of 834 versus 84 (10%) of 841 had immune reconstitution inflammatory syndrome (p=0·56). ART can be delayed until after completion of 6 months of tuberculosis treatment for HIV-positive patients with tuberculosis who have CD4 cell counts greater than 220 cells per μL. WHO guidelines should be updated accordingly. USAID, Zambia Ministry of Health, Tanzania Commission for Science and Technology, WHO-TDR.

In low-income countries, the use of laboratory monitoring of patients taking antiretroviral therapy (ART) remains controversial in view of persistent resource constraints. The Stratall trial did not show that clinical monitoring alone was non-inferior to laboratory and clinical monitoring in terms of immunological recovery. We aimed to evaluate the costs and cost-effectiveness of the ART monitoring approaches assessed in the Stratall trial. The randomised, controlled, non-inferiority Stratall trial was done in a decentralised setting in Cameroon. Between May 23, 2006, and Jan 31, 2008, ART-naive adults were randomly assigned (1:1) to clinical monitoring (CLIN) or viral load and CD4 cell count plus clinical monitoring (LAB) and followed up for 24 months. We calculated costs, number of life-years saved (LYS), and incremental cost-effectiveness ratios (ICERs) with data from patients who had been followed up for at least 6 months. We considered two cost scenarios in which viral load plus CD4 cell count tests cost either US$95 (scenario 1; Abbott RealTime HIV-1 assay) or $63 (scenario 2; generic assay). We compared ICERs with a WHO-recommended threshold of three times the per-person gross domestic product (GDP) for Cameroon ($3670–3800) and an alternative lower threshold of $2385 to determine cost-effectiveness. We assessed uncertainty with one-way sensitivity analyses and cost-effectiveness acceptability curves. 188 participants who underwent LAB and 197 who underwent CLIN were followed up for at least 6 months. In scenario 1, LAB increased costs by a mean of $489 (SD 430) per patient and saved 0·103 life-years compared with CLIN (ICER of $4768 [95% CI 3926–5613] per LYS). In scenario 2, the incremental mean cost of LAB was $343 (SD 425) —ie, an ICER of $3339 (2507–4173) per LYS. A combined strategy in which LAB would only be used in patients starting ART with a CD4 count of 200 cells per μL or fewer suggests that 0·120 life-years would be saved at an additional cost of $259 per patient in scenario 1 (ICER of $2167 [95% CI 1314–3020] per LYS) and $181 in scenario 2 (ICER of $1510 [692–2329] per LYS) when compared with CLIN. Laboratory monitoring was not cost effective in 2006–10 compared with clinical monitoring when the Abbott RealTime HIV-1 assay was used according to the $3670 cost-effectiveness threshold (three times per-person GDP in Cameroon), but it might be cost effective if a generic in-house assay is used. French National Agency for Research on AIDS and Viral Hepatitis (ANRS) and Ensemble pour une Solidarité Thérapeutique Hospitalière En Réseau (ESTHER).

Real-life data on access and response to direct antiviral agents (DAA) in HIV-HCV coinfected individuals are lacking. HCV viremic, HIV-positive patients from Icona and Hepaicona cohorts naïve to DAA by January 2013 were included. Access and predictors of starting DAA were evaluated. Switches of antiretroviral drugs at starting DAA were described. We calculated sustained virological response (SVR12) in those reaching 12 weeks after end-of-treatment (EOT), and defined treatment failure (TF) as discontinuation of DAA before EOT or non-SVR12. Statistical analyses included Kaplan-Meier curves, univariable and multivariable analyses evaluating predictors of access to DAA and of treatment outcome (non-SVR and TF). 2,607 patients included. During a median follow-up of 38 (IQR:30-41) months, 920 (35.3%) patients started DAA. Eligibility for reimbursement was the strongest predictor to access to treatment: 761/1,090 (69.8%) eligible and 159/1,517 (10.5%) non-eligible to DAA reimbursement. Older age, HIV-RNA≤50 copies/mL were associated to faster DAA initiation, higher CD4 count and HCV-genotype 3 with delayed DAA initiation in those eligible to DAA reimbursement. Up to 28% of patients (36% of those on ritonavir-boosted protease inhibitors, PI/r) underwent antiretroviral (ART) modification at DAA initiation. 545/595 (91.6%) patients reaching EOT achieved SVR12. Overall, TF occurred in 61/606 patients (10.1%), with 11 discontinuing DAA before EOT. Suboptimal DAA was the only independent predictor of both non-SVR12 (AHR 2.52, 95%CI:1.24-5.12) and TF (AHR: 2.19; 95%CI:1.13-4.22). Only 35.3% had access to HCV treatment. Despite excellent rates of SVR12 rates (91.6%), only 21% (545/2,607) of our HIV-HCV co-infected patients are cured.

Choice of initial antiretroviral therapy regimen may help children with HIV maintain optimal, continuous therapy. We assessed treatment-naïve children for differences in time to treatment disruption across randomly-assigned protease inhibitor versus non-nucleoside reverse transcriptase inhibitor-based initial antiretroviral therapy. We performed a secondary analysis of a multicenter phase 2/3, randomized, open-label trial in Europe, North and South America from 2002 to 2009. Children aged 31 days to <18 years, who were living with HIV-1 and treatment-naive, were randomized to antiretroviral therapy with two nucleoside reverse transcriptase inhibitors plus a protease inhibitor or non-nucleoside reverse transcriptase inhibitor. Time to first documented treatment disruption to any component of antiretroviral therapy, derived from treatment records and adherence questionnaires, was analyzed using Kaplan-Meier estimators and Cox proportional hazards models. The modified intention-to-treat analysis included 263 participants. Seventy-two percent (n = 190) of participants experienced at least one treatment disruption during study. At 4 years, treatment disruption probabilities were 70% (protease inhibitor) vs. 63% (non-nucleoside reverse transcriptase inhibitor). The unadjusted hazard ratio (HR) for treatment disruptions comparing protease inhibitor vs. non-nucleoside reverse transcriptase inhibitor-based regimens was 1.19, 95% confidence interval [CI] 0.88-1.61 (adjusted HR 1.24, 95% CI 0.91-1.68). By study end, treatment disruption probabilities converged (protease inhibitor 81%, non-nucleoside reverse transcriptase inhibitor 84%) with unadjusted HR 1.11, 95% CI 0.84-1.48 (adjusted HR 1.13, 95% CI 0.84-1.50). Reported reasons for treatment disruptions suggested that participants on protease inhibitors experienced greater tolerability problems. Children had similar time to treatment disruption for initial protease inhibitor and non-nucleoside reverse transcriptase inhibitor-based antiretroviral therapy, despite greater reported tolerability problems with protease inhibitor regimens. Initial pediatric antiretroviral therapy with either a protease inhibitor or non-nucleoside reverse transcriptase inhibitor may be acceptable for maintaining optimal, continuous therapy.

Objective To examine the cost and cost effectiveness of quarterly CD4 cell count and viral load monitoring among patients taking antiretroviral therapy (ART).Design Cost effectiveness study.Setting A randomised trial in a home based ART programme in Tororo, Uganda.Participants People with HIV who were members of the AIDS Support Organisation and had CD4 cell counts <250 ×106 cells/L or World Health Organization stage 3 or 4 disease. Main outcome measures Outcomes calculated for the study period and projected 15 years into the future included costs, disability adjusted life years (DALYs), and incremental cost effectiveness ratios (ICER; $ per DALY averted). Cost inputs were based on the trial and other sources. Clinical inputs derived from the trial; in the base case, we assumed that point estimates reflected true differences even if non-significant. We conducted univariate and multivariate sensitivity analyses.Interventions Three monitoring strategies: clinical monitoring with quarterly CD4 cell counts and viral load measurement (clinical/CD4/viral load); clinical monitoring and quarterly CD4 counts (clinical/CD4); and clinical monitoring alone.Results With the intention to treat (ITT) results per 100 individuals starting ART, we found that clinical/CD4 monitoring compared with clinical monitoring alone increases costs by $20 458 (£12 780, €14 707) and averts 117.3 DALYs (ICER=$174 per DALY). Clinical/CD4/viral load monitoring compared with clinical/CD4 monitoring adds $142 458, and averts 27.5 DALYs ($5181 per DALY). The superior ICER for clinical/CD4 monitoring is robust to uncertainties in input values, and that strategy is dominant (less expensive and more effective) compared with clinical/CD4/viral load monitoring in one quarter of simulations. If clinical inputs are based on the as treated analysis starting at 90 days (after laboratory monitoring was initiated), then clinical/CD4/viral load monitoring is dominated by other strategies.Conclusions Based on this trial, compared with clinical monitoring alone, monitoring of routine CD4 cell count is considerably more cost effective than additionally including routine viral load testing in the monitoring strategy and is more cost effective than ART.

National Institute of Mental Health Project Accept (HIV Prevention Trials Network [HPTN] 043) is a large, Phase III, community-randomized, HIV prevention trial conducted in 48 matched communities in Africa and Thailand. The study intervention included enhanced community-based voluntary counseling and testing. The primary endpoint was HIV incidence, assessed in a single, cross-sectional, post-intervention survey of >50,000 participants. HIV rapid tests were performed in-country. HIV status was confirmed at a central laboratory in the United States. HIV incidence was estimated using a multi-assay algorithm (MAA) that included the BED capture immunoassay, an avidity assay, CD4 cell count, and HIV viral load. Data from Thailand was not used in the endpoint analysis because HIV prevalence was low. Overall, 7,361 HIV infections were identified (4 acute, 3 early, and 7,354 established infections). Samples from established infections were analyzed using the MAA; 467 MAA positive samples were identified; 29 of those samples were excluded because they contained antiretroviral drugs. HIV prevalence was 16.5% (range at study sites: 5.93% to 30.8%). HIV incidence was 1.60% (range at study sites: 0.78% to 3.90%). In this community-randomized trial, a MAA was used to estimate HIV incidence in a single, cross-sectional post-intervention survey. Results from this analysis were subsequently used to compare HIV incidence in the control and intervention communities. ClinicalTrials.gov NCT00203749.

Laboratory-based CD4 monitoring of HIV patients presents challenges in resource limited settings (RLS) including frequent machine breakdown, poor engineering support and limited cold chain and specimen transport logistics. This study assessed the performance of two CD4 tests designed for use in RLS; the Dynal assay and the Alere PIMA test (PIMA). Accuracy of Dynal and PIMA using venous blood was assessed in a centralised laboratory by comparison to BD FACSCount (BD FACS). Dynal had a mean bias of -50.35 cells/µl (r(2) = 0.973, p<0.0001, n = 101) and PIMA -22.43 cells/µl (r(2)= 0.964, p<0.0001, n = 139) compared to BD FACS. Similar results were observed for PIMA operated by clinicians in one urban (n = 117) and two rural clinics (n = 98). Using internal control beads, PIMA precision was 10.34% CV (low bead mean 214.24 cells/µl) and 8.29% (high bead mean 920.73 cells/µl) and similar %CV results were observed external quality assurance (EQA) and replicate patient samples. Dynal did not perform using EQA and no internal controls are supplied by the manufacturer, however duplicate testing of samples resulted in r(2) = 0.961, p<0.0001, mean bias =  -1.44 cells/µl. Using the cut-off of 350 cells/µl compared to BD FACS, PIMA had a sensitivity of 88.85% and specificity of 98.71% and Dynal 88.61% and 100%. A total of 0.44% (2/452) of patient samples were misclassified as \"no treat\" and 7.30% (33/452) \"treat\" using PIMA whereas with Dynal 8.91% (9/101) as \"treat\" and 0% as \"no treat\". In our setting PIMA was found to be accurate, precise and user-friendly in both laboratory and clinic settings. Dynal performed well in initial centralized laboratory evaluation, however lacks requisite quality control measures, and was technically more difficult to use, making it less suitable for use at lower tiered laboratories.