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基于比利时医护人员症状分析的 COVID-19 诊断:COVID-19 早期暴发期间在比利时一家大型三级保健中心进行的观察性研究。

Diagnosis of COVID-19 Based on Symptomatic Analysis of Hospital Healthcare Workers in Belgium: Observational Study in a Large Belgian Tertiary Care Center During Early COVID-19 Outbreak.

机构信息

Mensura, Occupational Health Service (OHS), Brussels (Dr Van Loon, Dr Verbrugghe); Department of Public Health and Primary Care, University of Ghent, Ghent (Dr Verbrugghe); Jessa Hospital, Hasselt (Dr Cartuyvels, Dr Ramaekers); Leuven Institute for Healthcare Policy (LIHP), University of Leuven, Leuven (Dr Ramaekers), Belgium.

出版信息

J Occup Environ Med. 2021 Jan 1;63(1):27-31. doi: 10.1097/JOM.0000000000002015.

Abstract

OBJECTIVE

To identify early symptoms allowing rapid appraisal of infection with SARS-CoV-2 among healthcare workers of a large Belgian hospital.

METHODS

Healthcare workers with mild symptoms of an acute respiratory tract infection were systematically screened on clinical characteristics of corona virus disease 2019 (COVID-19). A nasopharyngeal swab was taken and analyzed by real-time Reverse-Transcription-Polymerase-Chain-Reaction (rRT-PCR).

RESULTS

Fifty percent of 373 workers tested COVID-19 positive. The symptoms cough (82%), headache (78%), myalgia (70%), loss of smell or taste (40%), and fever more than or equal to 37.5 °C (76%) were significantly higher among those infected.

CONCLUSION

Where each individual symptom contributes to the clinical evaluation of possible infection, it is the combination of COVID-19 symptoms that could allow for a rapid diagnostic appraisal of the disease in a high prevalence setting. Early transmission control is important at the onset of an epidemic.

摘要

目的

在一家大型比利时医院的医护人员中,确定能够快速评估 SARS-CoV-2 感染的早期症状。

方法

对有急性呼吸道感染轻度症状的医护人员进行 2019 年冠状病毒病(COVID-19)的临床特征系统筛查。采集鼻咽拭子并通过实时逆转录-聚合酶链反应(rRT-PCR)进行分析。

结果

373 名检测者中有 50% COVID-19 检测呈阳性。感染组的症状咳嗽(82%)、头痛(78%)、肌痛(70%)、嗅觉或味觉丧失(40%)和体温高于或等于 37.5°C(76%)明显更高。

结论

虽然每个单独的症状都有助于对可能感染的临床评估,但 COVID-19 症状的组合可能会在高流行环境中快速诊断疾病。在疫情爆发时,早期的传播控制非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ece/7773160/dfedf9d753a5/joem-63-027-g001.jpg

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