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实时逆转录聚合酶链反应检测严重急性呼吸综合征冠状病毒 2 的敏感性。

Sensitivity of Reverse Transcription Polymerase Chain Reaction Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Through Time.

机构信息

Manaaki Whenua-Landcare Research, Lincoln, New Zealand.

Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Auckland, New Zealand.

出版信息

J Infect Dis. 2022 Dec 28;227(1):9-17. doi: 10.1093/infdis/jiac317.

Abstract

BACKGROUND

Reverse transcription polymerase chain reaction (RT-PCR) tests are the gold standard for detecting recent infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Reverse transcription PCR sensitivity varies over the course of an individual's infection, related to changes in viral load. Differences in testing methods, and individual-level variables such as age, may also affect sensitivity.

METHODS

Using data from New Zealand, we estimate the time-varying sensitivity of SARS-CoV-2 RT-PCR under varying temporal, biological, and demographic factors.

RESULTS

Sensitivity peaks 4-5 days postinfection at 92.7% (91.4%-94.0%) and remains over 88% between 5 and 14 days postinfection. After the peak, sensitivity declined more rapidly in vaccinated cases compared with unvaccinated, females compared with males, those aged under 40 compared with over 40s, and Pacific peoples compared with other ethnicities.

CONCLUSIONS

Reverse transcription PCR remains a sensitive technique and has been an effective tool in New Zealand's border and postborder measures to control coronavirus disease 2019. Our results inform model parameters and decisions concerning routine testing frequency.

摘要

背景

逆转录聚合酶链反应(RT-PCR)检测是检测严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)近期感染的金标准。逆转录 PCR 的敏感性在个体感染过程中会发生变化,与病毒载量的变化有关。检测方法的差异以及年龄等个体变量也可能会影响敏感性。

方法

我们利用来自新西兰的数据,估算了 SARS-CoV-2 RT-PCR 在不同时间、生物学和人口统计学因素下的时变敏感性。

结果

感染后 4-5 天,敏感性峰值为 92.7%(91.4%-94.0%),感染后 5-14 天,敏感性仍保持在 88%以上。在高峰期之后,与未接种疫苗者相比,接种疫苗者的敏感性下降更快;与男性相比,女性的敏感性下降更快;与 40 岁以上人群相比,40 岁以下人群的敏感性下降更快;与其他族裔相比,太平洋岛民的敏感性下降更快。

结论

逆转录 PCR 仍然是一种敏感的技术,并且一直是新西兰边境和边境后措施控制 2019 年冠状病毒病的有效工具。我们的研究结果为模型参数和常规检测频率的决策提供了信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5349/9796165/218ee1e0ce3f/jiac317f1.jpg

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