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J Med Virol . Differentiation of COVID-19 from seasonal influenza: a multicenter comparative study

tetano

Editor, Senior Moderator
J Med Virol


. 2020 Aug 28.
doi: 10.1002/jmv.26469. Online ahead of print.
Differentiation of COVID-19 from seasonal influenza: a multicenter comparative study


Jianguo Zhang[SUP] 1 2 [/SUP], Daoyin Ding[SUP] 3 [/SUP], Xing Huang[SUP] 4 [/SUP], Jinhui Zhang[SUP] 2 [/SUP], Deyu Chen[SUP] 2 [/SUP], Peiwen Fu[SUP] 1 [/SUP], Yinghong Shi[SUP] 1 [/SUP], Wenrong Xu[SUP] 1 [/SUP], Zhimin Tao[SUP] 1 [/SUP]



Affiliations

Abstract

Objective: As coronavirus disease 2019 (COVID-19) crashed into the influenza season, clinical characteristics of both infectious diseases were compared to make a difference.
Methods: We reported 211 COVID-19 patients and 115 influenza patients as two separate cohorts at different locations. Demographic data, medical history, laboratory findings, and radiological characters were summarized and compared between two cohorts, as well as between patients at the Intensive Care Unit (ICU) and non-ICU within the COVID-19 cohort.
Results: For all 326 patients, the median age was 57.0 (IQR 45.0-69.0) and 48.2% was male, while 43.9% had comorbidities that included hypertension, diabetes, bronchitis, and heart diseases. Patients had cough (75.5%), fever (69.3%), expectoration (41.1%), dyspnea (19.3%), chest pain (18.7%) and fatigue (16.0%), etc. Both viral infections caused substantial blood abnormality, whereas the COVID-19 cohort showed a lower frequency of leukocytosis, neutrophilia or lymphocytopenia, but a higher chance of creatine kinase elevation. 7.7% of all patients possessed no abnormal sign in chest CT scans. For both infections, pulmonary lesions in radiological findings did not show any difference in their location or distribution. Nevertheless, compared to the influenza cohort, the COVID-19 cohort presented more diversity in CT features, where certain specific CT patterns showed significantly more frequency, including consolidation, crazy paving pattern, rounded opacities, air bronchogram, tree-in-bud sign, interlobular septal thickening, and bronchiolar wall thickening.
Conclusion: Differentiable clinical manifestations and CT patterns may help diagnose COVID-19 from influenza and gain a better understanding of both contagious respiratory illnesses. This article is protected by copyright. All rights reserved.

Keywords: COVID-19; SARS-CoV-2; computed tomography; influenza; viral pneumonia.
 
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