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最大化阴性结果的可信度:定量样本充足性控制。

Maximizing confidence in a negative result: Quantitative sample adequacy control.

机构信息

Department of Medical Microbiology, Jewish General Hospital, Canada; Lady Davis Institute for Medical Research, Canada; McGill University, Faculty of Medicine, Canada.

Department of Medicine, Jewish General Hospital, Canada; McGill University, Faculty of Medicine, Canada.

出版信息

J Infect Public Health. 2020 Jul;13(7):991-993. doi: 10.1016/j.jiph.2020.01.307. Epub 2020 Feb 7.

Abstract

Quantitative PCR (qPCR) is a leading screening tool, permitting rapid detection of pathogens and the maintenance of effective infection control programs. Unfortunately, qPCR assays frequently do not incorporate Sample Adequacy Control (SAC). A SAC controls for the quantity, quality and adequacy of the specimen. Without SAC, the confidence in a negative result remains questionable and the efficacy of screening is compromised. Ultimately, the exclusion of SAC from qPCR may result in false negative results. One should consider SAC to be an integral critical type of laboratory control; addressing diverse analytical problems, such as sample adequacy, sample processing and assay inhibition. Following distribution of cycle threshold values (Cq) of Influenza A positive results and Cq values of SAC, obtained from nasopharyngeal swabs, we showed that the confidence in a negative result cannot be guaranteed in the presence of a weak positive SAC signal (late Cq values). Herein, we explain why widespread inclusion of sample adequacy control in routine screening is blocked. A protocol and methods for SAC threshold establishment are offered.

摘要

实时荧光定量聚合酶链反应(qPCR)是一种主要的筛查工具,可快速检测病原体,并维持有效的感染控制程序。不幸的是,qPCR 检测通常不包含样本充足性控制(SAC)。SAC 可控制样本的数量、质量和充足性。如果没有 SAC,阴性结果的可信度仍然值得怀疑,筛查的效果也会受到影响。最终,qPCR 中排除 SAC 可能会导致假阴性结果。人们应该将 SAC 视为实验室控制的一个重要组成部分;解决各种分析问题,如样本充足性、样本处理和检测抑制。在流感 A 阳性结果的循环阈值(Cq)值和鼻咽拭子中获得的 SAC 的 Cq 值分布后,我们表明,在存在弱阳性 SAC 信号(晚期 Cq 值)的情况下,不能保证阴性结果的可信度。在此,我们解释了为什么广泛纳入样本充足性控制在常规筛查中受到阻碍。提供了 SAC 阈值建立的方案和方法。

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