Clinical features and chest CT findings in moderate and severe COVID-19 patients: an analysis of 506 cases from Wuhan Huoshenshan Hospital

Q4 Medicine
Xu Fang, Jun Cai, Quan Liang, Xiao Li, Yun Bian
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Abstract

Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients Methods: A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases The clinical features and chest CT findings were retrospectively analyzed Chi-square test and Fisher's exact probability were used for data analysis Results: The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (χ2=9 377 and 15 085, P 10 cm and involved all five lung lobes (P<0 01) The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (χ2=33 357, 11 114, 14 580, 5 978, 45 731 and 6 623, P<0 05 or <0 01) Conclusion: There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification Copyright © 2020 by the Chinese Medical Association
中重度新冠肺炎患者临床特征及胸部CT表现:武汉市火神山医院506例病例分析
目的:探讨中重度新冠肺炎患者的临床特征和胸部CT表现。方法:选择2020年2月9日至3月9日在火神山医院治疗的新冠肺炎患者506例,其中365例为中度病例,141例为重度病例。回顾性分析临床特征和胸部CT表现,采用卡方检验和Fisher精确概率进行数据分析(χ2=9 377和15 085,P 10 cm,累及全部5个肺叶(P<001)重症患者有较多的空气支气管图、支气管血管增厚、胸膜增厚、纵隔或肺门淋巴结肿大的影像学征象,胸腔积液和心包积液与中度患者相比(χ2=33 357,11 114,14 580,5 978,45 731和6 623,P<0.05或<0.01)结论:中度和重度患者的临床特征和胸部CT表现存在差异,胸部CT表现可作为临床分型的重要标准版权所有©2020中华医学会
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来源期刊
中华临床感染病杂志
中华临床感染病杂志 Medicine-Infectious Diseases
CiteScore
0.70
自引率
0.00%
发文量
1445
期刊介绍: Chinese Journal of Clinical Infectious Diseases started its publication in April 2008. It had been indexed by CSTPCD of Institute of Scientific and Technical Information of China(ISTIC), Chinese Science Citation Database (CSCD), American Chemical Abstract (CA),Western Pacific Region Index Medicus(WPRIM), CNKI, Wanfang Data, Statistical Journal of China Academic Journal Impact Factor Annual Report,etc. The highest impact factor was 1.359, and the comprehensive quality of the journal ranked second in the field of infectious diseases in 2017. The article has been selected as one hundred excellent papers of Chinese medicine in 2018 and 2020, respectively. The journal is available both in print and online.
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