Global Health Impact Group, Atlanta, GA.
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
J Acquir Immune Defic Syndr. 2019 Nov 1;82(3):281-286. doi: 10.1097/QAI.0000000000002104.
Expanded access to HIV antiretrovirals has dramatically reduced mother-to-child transmission of HIV. However, there is increasing concern around false-positive HIV test results in perinatally HIV-exposed infants but few insights into the use of indeterminate range to improve infant HIV diagnosis.
A systematic review and meta-analysis was conducted to evaluate the use of an indeterminate range for HIV early infant diagnosis. Published and unpublished studies from 2000 to 2018 were included. Study quality was evaluated using GRADE and QUADAS-2 criteria. A random-effects model compared various indeterminate ranges for identifying true and false positives.
The review identified 32 studies with data from over 1.3 million infants across 14 countries published from 2000 to 2018. Indeterminate results accounted for 16.5% of initial non-negative test results, and 76% of indeterminate results were negative on repeat testing. Most results were from Roche tests. In the random-effects model, an indeterminate range using a polymerase chain reaction cycle threshold value of ≥33 captured over 93% of false positives while classifying fewer than 9% of true positives as indeterminate.
Without the use of an indeterminate range, over 10% of infants could be incorrectly diagnosed as HIV positive if their initial test results are not confirmed. Use of an indeterminate range appears to lead to substantial improvements in the accuracy of early infant diagnosis testing and supports current recommendations to confirm all initial positive tests.
扩大获得 HIV 抗逆转录病毒药物的机会大大降低了母婴传播 HIV 的风险。然而,人们越来越关注围产期 HIV 暴露婴儿中 HIV 假阳性检测结果的问题,但对使用不确定范围来改善婴儿 HIV 诊断的了解甚少。
进行了系统评价和荟萃分析,以评估不确定范围在 HIV 早期婴儿诊断中的应用。纳入了 2000 年至 2018 年发表和未发表的研究。使用 GRADE 和 QUADAS-2 标准评估研究质量。随机效应模型比较了各种不确定范围在识别真阳性和假阳性方面的效果。
本综述共纳入了 32 项研究,这些研究的数据来自 14 个国家的超过 130 万婴儿,发表时间为 2000 年至 2018 年。不确定结果占初始非阴性检测结果的 16.5%,76%的不确定结果在重复检测时为阴性。大多数结果来自罗氏检测。在随机效应模型中,使用聚合酶链反应循环阈值≥33 的不确定范围可以捕获超过 93%的假阳性,而将少于 9%的真阳性分类为不确定。
如果不使用不确定范围,超过 10%的婴儿可能会被错误地诊断为 HIV 阳性,如果他们的初始检测结果未得到确认。使用不确定范围似乎可以显著提高早期婴儿诊断检测的准确性,并支持目前确认所有初始阳性检测的建议。