Pastor, LucíaCasellas, AinaRupérez, MaríaCarrillo Molina, JorgeMaculuve, Sónia AmósJairoce, Chenjerai Tobias SixpenceParedes, RogerBlanco, JuliàNaniche, Denise2017-11-102017-11-102017-10-301058-4838https://hdl.handle.net/2445/117626Background: Achieving effective antiretroviral treatment (ART) monitoring is a key determinant to ensure viral suppression and reach the UNAIDS 90-90-90 targets. The gold standard for detecting virological failure is plasma human immunodeficiency virus (HIV) RNA (viral load [VL]) testing; however, its availability is very limited in low-income countries due to cost and operational constraints. Methods: HIV-1-infected adults on first-line ART attending routine visits at the Manhica District Hospital, Mozambique, were previously evaluated for virologic failure. Plasma levels of interferon-gamma-inducible protein 10 (IP-10) were quantified by enzyme-linked immunosorbent assay. Logistic regression was used to build an IP-10-based model able to identify individuals with VL >150 copies/mL. From the 316 individuals analyzed, 253 (80%) were used for model training and 63 (20%) for validation. Receiver operating characteristic curves were employed to evaluate model prediction. Results: From the individuals included in the training set, 34% had detectable VL. Mean age was 41 years, 70% were females, and median time on ART was 3.4 years. IP-10 levels were significantly higher in subjects with detectable VL (108.2 pg/mL) as compared to those with undetectable VL (38.0 pg/mL) (P < .0001, U test). IP-10 univariate model demonstrated high classification performance (area under the curve = 0.85 [95% confidence interval {CI}, .80-.90]). Using a cutoff value of IP-10 >/=44.2 pg/mL, the model identified detectable VL with 91.9% sensitivity (95% CI, 83.9%-96.7%) and 59.9% specificity (95% CI, 52.0%-67.4%), values confirmed in the validation set. Conclusions: IP-10 is an accurate biomarker to screen individuals on ART for detectable viremia. Further studies should evaluate the benefits of IP-10 as a triage approach to monitor ART in resource-limited settings.6 p.application/pdfengcc by (c) Pastor et al., 2017http://creativecommons.org/licenses/by/4.0/CitoquinesImmunitat cel·lularCytokinesCellular immunityinfo:eu-repo/semantics/article2017-11-01info:eu-repo/semantics/openAccess29020145