Utility of the Signal-to-Cutoff Ratio and Antigen Index from Fourth- and Fifth-Generation HIV-1/HIV-2 Antigen/Antibody Assays for the Diagnosis of Acute HIV Infection: Applicability for Real-Time Use for Immediate Initiation of Antiretroviral Therapy

JOURNAL OF CLINICAL MICROBIOLOGY(2022)

引用 2|浏览1
暂无评分
摘要
Identification of individuals with acute HIV infection (AHI) and rapid initiation of antiretroviral therapy (ART) are priorities for HIV elimination efforts. Fourth- and fifth-generation HIV-1/HIV-2 antigen (Ag)/antibody (Ab) combination assays can quickly identify patients with AHI, but false-positive results can occur. Confirmatory nucleic acid amplification testing (NAAT) may not be rapidly available. We reviewed the data for 127 patients with positive fourth-generation ARCHITECT and fifth-generation Bio-Plex immunoassay results who had negative or indeterminate confirmatory Ab testing results, which yielded 38 patients with confirmed AHI and 89 patients with false-positive results. The receiver operating characteristic (ROC) curves showed excellent discriminatory power, with an area under the curve (AUC) for the signal-to-cutoff (S/CO) ratio of 0.970 (95% confidence interval [CI], 0.935 to 1.00) and an AUC for the Ag index (Al) of 0.968 (95% CI, 0.904 to 1.00). A threshold of 3.78 for the S/CO ratio would maximize the sensitivity (96.3%) and specificity (93.4%). The threshold for Al was 2.83 (sensitivity of 100% and specificity of 96.4%). The S/CO ratio was significantly correlated with the viral load (Spearman correlation coefficient, 0.486 [P = 0.014]), but the Al was not. The viral loads were all high, with a median of >2.8 million copies/mL Two false-positive results with Al and S/CO ratio values markedly higher than the medians were observed, indicating that biological false-positive results can occur. Review of the S/CO ratio or Al may be used to improve the accuracy of AHI diagnosis prior to confirmatory NAAT results being available.
更多
查看译文
关键词
acute HIV infection,HIV immunoassay,sensitivity,specificity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要