Lynch Briana A, Patel Eshan U, Courtney Colleen R, Nanfack Aubin J, Bimela Jude, Wang Xiaohong, Eid Issa, Quinn Thomas C, Laeyendecker Oliver, Nyambi Phillipe N, Duerr Ralf, Redd Andrew D
1 Division of Intramural Research, NIAID, NIH , Baltimore, Maryland.
2 Department of Pathology, Johns Hopkins University , Baltimore, Maryland.
AIDS Res Hum Retroviruses. 2017 Nov;33(11):1114-1116. doi: 10.1089/AID.2017.0084. Epub 2017 Aug 7.
Current serological assays that are used for cross-sectional HIV incidence estimation have been shown to misclassify individuals with chronic infection. Limited information exists on the performance of cross-sectional incidence assays in Central Africa. HIV-positive individuals from Cameroon who were infected for at least 1 or 2 years were evaluated to determine the false recent ratio (FRR) of a two-assay algorithm, which includes the Limiting Antigen Avidity (LAg-Avidity) assay (normalized optical density units, ODn <1.5) and HIV viral load (>1000 copies/ml). The subject-level FRR was 5.3% (95% confidence interval [CI], 2.1-10.5) for individuals infected for ≥1 year and 3.9% (95% CI, 0.8-11.0) for individuals infected for ≥2 years. These data suggest that the LAg-Avidity plus viral load incidence algorithm may overestimate HIV incidence rates in Central Africa.
目前用于横断面估计艾滋病毒发病率的血清学检测方法已被证明会将慢性感染个体误分类。关于中非横断面发病率检测方法性能的信息有限。对喀麦隆感染至少1年或2年的艾滋病毒阳性个体进行评估，以确定一种双检测算法的假近期感染率（FRR），该算法包括有限抗原亲和力（LAg-Avidity）检测（标准化光密度单位，ODn<1.5）和艾滋病毒病毒载量（>1000拷贝/毫升）。感染≥1年的个体的个体水平FRR为5.3%（95%置信区间[CI]，2.1-10.5），感染≥2年的个体为3.9%（95%CI，0.8-11.0）。这些数据表明，LAg-Avidity加病毒载量发病率算法可能高估了中非的艾滋病毒发病率。
