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新型冠状病毒肺炎潜伏期:系统评价与荟萃分析。

Incubation period of COVID-19: A systematic review and meta-analysis.

机构信息

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, Spain.

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, Spain.

出版信息

Rev Clin Esp (Barc). 2021 Feb;221(2):109-117. doi: 10.1016/j.rceng.2020.08.002. Epub 2020 Nov 28.

DOI:10.1016/j.rceng.2020.08.002
PMID:33998486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7698828/
Abstract

BACKGROUND AND OBJECTIVE

The incubation period of COVID-19 helps to determine the optimal duration of the quarantine and inform predictive models of incidence curves. Several emerging studies have produced varying results; this systematic review aims to provide a more accurate estimate of the incubation period of COVID-19.

METHODS

For this systematic review, a literature search was conducted using Pubmed, Scopus/EMBASE, and the Cochrane Library databases, covering all observational and experimental studies reporting the incubation period and published from 1 January 2020 to 21 March 2020.We estimated the mean and 95th percentile of the incubation period using meta-analysis, taking into account between-study heterogeneity, and the analysis with moderator variables.

RESULTS

We included seven studies (n=792) in the meta-analysis. The heterogeneity (I 83.0%, p<0.001) was significantly decreased when we included the study quality and the statistical model used as moderator variables (I 15%). The mean incubation period ranged from 5.6 (95% CI: 5.2-6.0) to 6.7 days (95% CI: 6.0-7.4) according to the statistical model. The 95th percentile was 12.5 days when the mean age of patients was 60 years, increasing 1 day for every 10 years.

CONCLUSION

Based on the published data reporting the incubation period of COVID-19, the mean time between exposure and onset of clinical symptoms depended on the statistical model used, and the 95th percentile depended on the mean age of the patients. It is advisable to record sex and age when collecting data in order to analyze possible differential patterns.

摘要

背景和目的

COVID-19 的潜伏期有助于确定最佳隔离时间,并为发病曲线的预测模型提供信息。一些新出现的研究得出了不同的结果;本系统评价旨在更准确地估计 COVID-19 的潜伏期。

方法

为了进行这项系统评价,我们使用 Pubmed、Scopus/EMBASE 和 Cochrane 图书馆数据库进行了文献检索,涵盖了所有报告潜伏期并于 2020 年 1 月 1 日至 2020 年 3 月 21 日发表的观察性和实验性研究。我们使用荟萃分析来估计潜伏期的平均值和 95%置信区间,考虑了研究之间的异质性,并对协变量进行了分析。

结果

我们将 7 项研究(n=792)纳入荟萃分析。当我们将研究质量和使用的统计模型作为协变量纳入分析时,异质性(I 83.0%,p<0.001)显著降低(I 15%)。根据统计模型,潜伏期的平均值范围为 5.6(95%CI:5.2-6.0)至 6.7 天(95%CI:6.0-7.4)。当患者的平均年龄为 60 岁时,95%百分位数为 12.5 天,每增加 10 岁,潜伏期增加 1 天。

结论

根据报告 COVID-19 潜伏期的已发表数据,暴露与临床症状出现之间的平均时间取决于使用的统计模型,95%百分位数取决于患者的平均年龄。在收集数据时,建议记录性别和年龄,以便分析可能存在的差异模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/d91b52c48859/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/8d057289e36c/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/f3e4687bf7b8/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/d91b52c48859/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/8d057289e36c/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/f3e4687bf7b8/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4e2/7698828/d91b52c48859/gr3_lrg.jpg

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