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通过测量外周血参数在早期区分 COVID-19 和流感。

Distinguishing between COVID-19 and influenza during the early stages by measurement of peripheral blood parameters.

机构信息

Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Department of Clinical Laboratory, Affiliated Hospital of Shaoxing University, Shaoxing, China.

出版信息

J Med Virol. 2021 Feb;93(2):1029-1037. doi: 10.1002/jmv.26384. Epub 2020 Aug 13.

Abstract

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 infection. This study aims to examine the changes in peripheral blood parameters during the early stages of COVID-19 and influenza. We analyzed the peripheral blood parameters of 169 COVID-19 patients and 131 influenza patients during the early-onset stage. Results from the patients with COVID-19 were compared with those from healthy controls and influenza patients. In addition, results from patients with common and severe COVID-19 were further compared. There were significant differences between COVID-19 and influenza patients in terms of age, white blood cell count, platelet count, percentage of neutrophils, percentage of lymphocytes, percentage of monocytes, percentage of eosinophils, percentage of basophils, neutrophil, count and monocyte count. Two parameters (monocyte count and percentage of basophils) were combined to clarify the diagnostic efficacy of COVID-19 and influenza and the area under the curve was found to be 0.772. Comparison of peripheral blood parameters from common COVID-19, severe COVID-19, and influenza patients revealed many differences during the early disease stages. The diagnostic formula developed by this study will be of benefit for physicians in the differentiation of COVID-19 and influenza.

摘要

新型冠状病毒肺炎(COVID-19)是由严重急性呼吸综合征冠状病毒 2 型感染引起的。本研究旨在探讨 COVID-19 和流感早期外周血参数的变化。我们分析了 169 例 COVID-19 患者和 131 例流感患者的早期外周血参数。将 COVID-19 患者的结果与健康对照组和流感患者进行比较。此外,还进一步比较了普通型和重型 COVID-19 患者的结果。COVID-19 患者与流感患者在年龄、白细胞计数、血小板计数、中性粒细胞百分比、淋巴细胞百分比、单核细胞百分比、嗜酸性粒细胞百分比、嗜碱性粒细胞百分比、中性粒细胞计数和单核细胞计数方面存在显著差异。将两个参数(单核细胞计数和嗜碱性粒细胞百分比)结合起来,以明确 COVID-19 和流感的诊断效能,发现曲线下面积为 0.772。比较普通型 COVID-19、重型 COVID-19 和流感患者的外周血参数,发现在疾病早期有许多差异。本研究开发的诊断公式将有助于医生区分 COVID-19 和流感。

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