To Test, Perchance to Diagnose: Practical Strategies for Severe Acute Respiratory Syndrome Coronavirus 2 Testing.

To Test, Perchance to Diagnose: Practical Strategies for Severe Acute Respiratory Syndrome Coronavirus 2 Testing.
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DOI:
10.1093/ofid/ofab095
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发表时间:
2021-04
影响因子:
4.2
通讯作者:
Lee FM
Lee FM
中科院分区:
医学3区
文献类型:
--
作者:
Humphries RM;Azar MM;Caliendo AM;Chou A;Colgrove RC;Fabre V;Ginocchio CC;Hanson KE;Hayden MK;Pillai DR;Pollock NR;Lee FM

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对有症状和无症状患者进行严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 检测是管理 2019 年冠状病毒病大流行的多方面方法的重要组成部分。确定如何最好地定义针对不同人群的检测策略并将其纳入更广泛的感染预防计划可能很复杂。联邦、地方或专业指南并未解决许多情况。本评论描述了对有症状或无症状个体进行 SARS-CoV-2 病毒(抗原或核糖核酸)检测可能具有潜在益处的各种情况。探讨了对预测试概率、测试风险(假阳性或假阴性结果的影响)、测试策略以及基于测试结果的行动的考虑。无论在何种环境下进行检测,都必须纳入总体感染控制计划,其中包括使用个人防护设备(例如口罩)、保持身体距离以及在怀疑接触时进行隔离。 SARS-CoV-2 的最佳检测策略一直是人们广泛讨论的话题。没有一种方法可以解决所有情况下的测试。本综述描述了基于预测试概率、测试结果的预期行动以及各种测试场景中的感染控制和预防活动的实用测试方法。
Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in symptomatic and asymptomatic patients is an important component of the multifaceted approach of managing the coronavirus disease 2019 pandemic. Determining how to best define testing strategies for different populations and incorporating these into broader infection prevention programs can be complex. Many circumstances are not addressed by federal, local, or professional guidelines. This commentary describes various scenarios in which testing of symptomatic or asymptomatic individuals for SARS-CoV-2 virus (antigen or ribonucleic acid) can be of potential benefit. Consideration to pretest probability, risks of testing (impact of false-positive or false-negative results), testing strategy, as well as action based on test results are explored. Testing, regardless of setting, must be incorporated into overarching infection control plans, which include use of personal protective equipment (eg, masks), physically distancing, and isolation when exposure is suspected. Optimal testing strategies for SARS-CoV-2 have been a topic of considerable discussion. No one approach addresses testing in all scenarios. This review describes practical approaches for testing based on pre-test probability, anticipated actions from test results, and infection control and prevention activities in a variety of testing scenarios.
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