Predicting, diagnosing and treating acute and early HIV infection in a public sector facility in Eswatini.

BACKGROUND The lack of acute and early HIV infection (AEHI) diagnosis and care contributes to high HIV incidence in resource-limited settings. We aimed to assess the yield, predict and diagnose AEHI, and describe AEHI care outcomes in a public sector setting in Eswatini. SETTING This study was conducted in Nhlangano outpatient department, from March 2019 to March 2020. METHODS Adults at risk of AEHI underwent diagnostic testing for AEHI with the quantitative Xpert HIV-1 viral load (VL) assay. AEHI was defined as the detection of HIV-1 VL on Xpert and either a HIV-seronegative/HIV-serodiscordant third-generation antibody-based rapid-diagnostic test (RDT) result. First, the cross-sectional analysis obtained the yield of AEHI and established a predictor risk score (PRS) for the prediction of AEHI using Lasso logistic regression. Second, diagnostic accuracy statistics described the ability of the fourth-generation antibody/p24 antigen-based Alere™HIV-Combo RDT to diagnose AEHI (vs Xpert VL testing). Third, we described AHI care outcomes of AEHI-positive patients using survival analysis. RESULTS Of 795 HIV-seronegative/HIV-serodiscordant outpatients recruited, 30 (3.8%, 95%CI 2.6-5.3%) had AEHI. The PRS contained several factors (HIV-serodiscordant RDT, women, feeling at risk of HIV, swollen glands, fatigue) and had a sensitivity and specificity of 83.3% and 65.8% to predict AEHI. The HIV-Combo RDT had a sensitivity and specificity of 86.2% and 99.9% to diagnose AEHI. Of 30 AEHI-positive patients, the 1-month cumulative treatment initiation was 74% (95%CI 57-88%), and the 3-month viral suppression (<1000 copies/mL) was 87% (67-98%). CONCLUSION AEHI diagnosis and care appears possible in resource-limited settings.