Differentiation of COVID-19 from seasonal influenza: A multicenter comparative study.


Journal

Journal of medical virology
ISSN: 1096-9071
Titre abrégé: J Med Virol
Pays: United States
ID NLM: 7705876

Informations de publication

Date de publication:
03 2021
Historique:
received: 21 07 2020
revised: 19 08 2020
accepted: 25 08 2020
pubmed: 29 8 2020
medline: 11 3 2021
entrez: 29 8 2020
Statut: ppublish

Résumé

As coronavirus disease 2019 (COVID-19) crashed into the influenza season, clinical characteristics of both infectious diseases were compared to make a difference. 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) andnon-ICU within the COVID-19 cohort. For all 326 patients, the median age was 57.0 (interquartile range: 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. A total of 7.7% of all patients possessed no abnormal sign in chest computed tomography (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. Differentiable clinical manifestations and CT patterns may help diagnose COVID-19 from influenza and gain a better understanding of both contagious respiratory illnesses.

Identifiants

pubmed: 32856744
doi: 10.1002/jmv.26469
pmc: PMC7461066
doi:

Types de publication

Comparative Study Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1512-1519

Subventions

Organisme : Jiangsu University

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2020 Wiley Periodicals LLC.

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Auteurs

Jianguo Zhang (J)

Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China.

Daoyin Ding (D)

Department of Critical Care Medicine, The First People's Hospital of Jiangxia District, Wuhan, Hubei, China.

Xing Huang (X)

Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Jinhui Zhang (J)

The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China.

Deyu Chen (D)

The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China.

Peiwen Fu (P)

Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.

Yinghong Shi (Y)

Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.

Wenrong Xu (W)

Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.

Zhimin Tao (Z)

Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.

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