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非重症 COVID-19 疾病期间的传播潜力分布。

Distribution of Transmission Potential During Nonsevere COVID-19 Illness.

机构信息

Department of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio, USA.

Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.

出版信息

Clin Infect Dis. 2020 Dec 31;71(11):2927-2932. doi: 10.1093/cid/ciaa886.

Abstract

BACKGROUND

Patients recovering from coronavirus disease 2019 (COVID-19) often continue to test positive for the causative virus by polymerase chain reaction (PCR) even after clinical recovery, thereby complicating return-to-work plans. The purpose of this study was to evaluate transmission potential of COVID-19 by examining viral load with respect to time.

METHODS

Health care personnel (HCP) at Cleveland Clinic diagnosed with COVID-19, who recovered without needing hospitalization, were identified. Threshold cycles (Ct) for positive PCR tests were obtained and viral loads calculated. The association of viral load with days since symptom onset was examined in a multivariable regression model, which was reduced by stepwise backward selection to only keep variables significant at a level of .05. Viral loads by day since symptom onset were predicted using the model and transmission potential evaluated by examination of a viral load-time curve.

RESULTS

Over 6 weeks, 230 HCP had 528 tests performed. Viral loads declined by orders of magnitude within a few days of symptom onset. The only variable significantly associated with viral load was time since onset of symptoms. Of the area under the curve (AUC) spanning symptom onset to 30 days, 96.9% lay within the first 7 days, and 99.7% within 10 days. Findings were very similar when validated using split-sample and 10-fold cross-validation.

CONCLUSIONS

Among patients with nonsevere COVID-19, viral loads in upper respiratory specimens peak by 2 or 3 days from symptom onset and decrease rapidly thereafter. The vast majority of the viral load-time AUC lies within 10 days of symptom onset.

摘要

背景

新冠肺炎(COVID-19)患者在临床康复后,即使通过聚合酶链反应(PCR)检测仍常为阳性,这使得他们重返工作岗位的计划变得复杂。本研究旨在通过评估随时间推移的病毒载量来评估 COVID-19 的传播潜力。

方法

克利夫兰诊所(Cleveland Clinic)确诊的、无需住院即可康复的 COVID-19 医护人员(HCP)被确定。获得阳性 PCR 检测的阈值循环(Ct)并计算病毒载量。采用多变量回归模型,根据症状出现后天数来检查病毒载量与时间的相关性,通过逐步向后选择逐步减少模型,仅保留在.05 水平有统计学意义的变量。使用模型预测症状出现后第几天的病毒载量,并通过检查病毒载量-时间曲线来评估传播潜力。

结果

在 6 周内,230 名 HCP 进行了 528 次检测。在症状出现后的几天内,病毒载量呈数量级下降。唯一与病毒载量显著相关的变量是症状出现后的时间。从症状出现到 30 天的曲线下面积(AUC)的 96.9%位于第 7 天内,99.7%位于第 10 天内。使用分样和 10 倍交叉验证进行验证时,结果非常相似。

结论

在非重症 COVID-19 患者中,上呼吸道标本中的病毒载量在症状出现后的 2 或 3 天内达到峰值,此后迅速下降。病毒载量-时间 AUC 的绝大部分位于症状出现后的 10 天内。

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