Johns Hopkins School of Medicine, Baltimore, Maryland (L.M.K.).
Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (S.A.L., D.B., J.L.).
Ann Intern Med. 2020 Aug 18;173(4):262-267. doi: 10.7326/M20-1495. Epub 2020 May 13.
Tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on reverse transcriptase polymerase chain reaction (RT-PCR) are being used to rule out infection among high-risk persons, such as exposed inpatients and health care workers. It is critical to understand how the predictive value of the test varies with time from exposure and symptom onset to avoid being falsely reassured by negative test results.
To estimate the false-negative rate by day since infection.
Literature review and pooled analysis.
7 previously published studies providing data on RT-PCR performance by time since symptom onset or SARS-CoV-2 exposure using samples from the upper respiratory tract ( = 1330).
A mix of inpatients and outpatients with SARS-CoV-2 infection.
A Bayesian hierarchical model was fitted to estimate the false-negative rate by day since exposure and symptom onset.
Over the 4 days of infection before the typical time of symptom onset (day 5), the probability of a false-negative result in an infected person decreases from 100% (95% CI, 100% to 100%) on day 1 to 67% (CI, 27% to 94%) on day 4. On the day of symptom onset, the median false-negative rate was 38% (CI, 18% to 65%). This decreased to 20% (CI, 12% to 30%) on day 8 (3 days after symptom onset) then began to increase again, from 21% (CI, 13% to 31%) on day 9 to 66% (CI, 54% to 77%) on day 21.
Imprecise estimates due to heterogeneity in the design of studies on which results were based.
Care must be taken in interpreting RT-PCR tests for SARS-CoV-2 infection-particularly early in the course of infection-when using these results as a basis for removing precautions intended to prevent onward transmission. If clinical suspicion is high, infection should not be ruled out on the basis of RT-PCR alone, and the clinical and epidemiologic situation should be carefully considered.
National Institute of Allergy and Infectious Diseases, Johns Hopkins Health System, and U.S. Centers for Disease Control and Prevention.
基于逆转录聚合酶链反应 (RT-PCR) 的严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 检测目前被用于排除高危人群(如暴露于感染患者和医护人员中的人群)的感染。了解检测的预测值随暴露时间和症状出现时间的变化情况非常重要,以免因阴性检测结果而错误地感到安心。
按感染后天数估计假阴性率。
文献回顾和汇总分析。
7 项先前发表的研究,提供了基于症状出现或 SARS-CoV-2 暴露后时间的 RT-PCR 性能数据,使用的样本来自上呼吸道(共 1330 例)。
混合有 SARS-CoV-2 感染的住院患者和门诊患者。
使用贝叶斯分层模型估计从暴露和症状出现开始的每一天的假阴性率。
在症状出现前典型的 4 天感染期间(第 5 天),感染个体中假阴性结果的概率从第 1 天的 100%(95%CI,100%至 100%)降至第 4 天的 67%(CI,27%至 94%)。在症状出现当天,中位假阴性率为 38%(CI,18%至 65%)。这一数值在症状出现后第 3 天(第 8 天)降至 20%(CI,12%至 30%),然后又开始上升,从第 9 天的 21%(CI,13%至 31%)上升至第 21 天的 66%(CI,54%至 77%)。
由于作为结果依据的研究设计存在异质性,因此估计结果不精确。
在使用这些结果作为去除旨在防止传播的预防措施的依据时,必须谨慎对待针对 SARS-CoV-2 感染的 RT-PCR 检测,特别是在感染早期。如果临床怀疑很高,不应仅凭 RT-PCR 排除感染,而应仔细考虑临床和流行病学情况。
美国国立过敏和传染病研究所、约翰霍普金斯卫生系统和美国疾病控制与预防中心。