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影响轻症 COVID-19 病毒清除的因素及无症状患者的临床特征。

Factors Influencing Viral Clearance in Mild COVID-19 and Clinical Characteristics of Asymptomatic Patients.

机构信息

Department of Respiration, Anqing Municipal Hospital, Anhui, China.

Infection Disease Department, Anqing Municipal Hospital, Anhui, China.

出版信息

Biomed Res Int. 2021 Feb 26;2021:5909612. doi: 10.1155/2021/5909612. eCollection 2021.

DOI:10.1155/2021/5909612
PMID:33728332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7936893/
Abstract

BACKGROUND

The outbreak of coronavirus disease (COVID-19) has become a global public health emergency.

OBJECTIVE

To evaluate the characteristics and outcomes of patients with COVID-19 in Anhui and to identify predictors of viral clearance.

METHODS

We retrospectively analyzed the data collected from discharged patients with laboratory-confirmed SARS-CoV-2 infections. We compared clinical features between viral clearance and viral persistence, and evaluated factors associated with SARS-CoV-2 shedding using multiple linear regression.

RESULTS

Among the 83 patients involved in the study, the median age was 43 years, while 60.2% were male, 35.4% had comorbidities, and the mortality was zero. The median time from illness onset to admission was 5 days (interquartile range (IQR), 2-7 days), and the median time from the illness onset to SARS-CoV-2 RNA detection was 16 days (IQR, 13-18 days). The factors influencing viral clearance were as follows: (1) delayed admission (beta 1.057, 95% CI 0.810-1.304; ≤ 0.001) and (2) underlying comorbidities (beta 1.907, 95% CI 0.198-3.616; = 0.029). No significant differences were observed in the length of stay ( = 0.246) and pneumonia between asymptomatic and symptomatic patients based on computed tomography (CT) ( = 0.124).

CONCLUSIONS

Delayed admission and underlying comorbidities may effectively predict SARS-CoV-2 RNA clearance. For those infected with SARS-CoV-2, even asymptomatic patients without any clinical symptoms should be traced and isolated. This practice may reduce the spread of SARS-CoV-2 and slow the COVID-19 pandemic caused by the virus. : This trial is registered with 2020-051.

摘要

背景

冠状病毒病(COVID-19)的爆发已成为全球公共卫生紧急事件。

目的

评估安徽省 COVID-19 患者的特征和结局,并确定病毒清除的预测因素。

方法

我们回顾性分析了从确诊为 SARS-CoV-2 感染的出院患者中收集的数据。我们比较了病毒清除和病毒持续存在的患者的临床特征,并使用多元线性回归评估了与 SARS-CoV-2 脱落相关的因素。

结果

在纳入的 83 例患者中,中位年龄为 43 岁,60.2%为男性,35.4%有合并症,死亡率为零。从发病到入院的中位时间为 5 天(四分位距(IQR),2-7 天),从发病到 SARS-CoV-2 RNA 检测的中位时间为 16 天(IQR,13-18 天)。影响病毒清除的因素有:(1)延迟入院(β 1.057,95%CI 0.810-1.304;<0.001)和(2)潜在合并症(β 1.907,95%CI 0.198-3.616; = 0.029)。基于 CT,无症状和有症状患者的住院时间( = 0.246)和肺炎( = 0.124)无显著差异。

结论

延迟入院和潜在合并症可能有效预测 SARS-CoV-2 RNA 清除。对于感染 SARS-CoV-2 的患者,即使没有任何临床症状的无症状患者也应进行追踪和隔离。这种做法可能会减少 SARS-CoV-2 的传播并减缓由该病毒引起的 COVID-19 大流行。

注册号

2020-051。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cd1/7936893/d2aac402a6fc/BMRI2021-5909612.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cd1/7936893/9a574ab74801/BMRI2021-5909612.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cd1/7936893/d2aac402a6fc/BMRI2021-5909612.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cd1/7936893/9a574ab74801/BMRI2021-5909612.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cd1/7936893/d2aac402a6fc/BMRI2021-5909612.002.jpg

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