重型新型冠状病毒肺炎118例临床特征分析

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Abstract Objective: To analyse the relevant clinical predictors of patients who died of severe novel coronavirus disease 2019（COVID19）. Methods: Fiftyone patients who died of severe COVID-19 （death group） admitted to the Intensive Care Unit of Wuhan Tongji Guanggu Hospital from February to March 2020, and 67 patients who did not die from severe COVID-19 at the same time （nondeath group） were selected. Further, the clinical manifestations, imaging findings, and laboratory examinations of the two groups were compared and analyzed. Results: There were significant differences in age, smoking history （>10 years）, chronic obstructive pulmonary disease （COPD）, respiratory failure, heart failure, sepsis, renal failure, multiple organ dysfunction syndrome （MODS）, more than 50% lung involvement, aspartate aminotransferase, urea nitrogen, lactate dehydrogenase, glomerular filtration rate （eGFR） and heart failure marker Nterminal probrain natriuretic peptide between the two groups （P<0.05）. However, multivariate logistic regression analysis found that only age, smoking history （>10 years）, respiratory failure, MODS, BUN and eGFR were correlated with the prognosis of COVID-19 patients （P<0.05）. Conclusion: Severe COVID19 patients who are older than 67 years old, with a history of smoking more than 10 years or COPD, or respiratory failure, MODS, and significantly elevated indicators of urea nitrogen and eGFR during treatment, which often indicates aggravation of the disease and risk of death.

Received: 07 November 2020

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	Articles by authors
	XIE Dan1
	CHEN Junchun2
	QIU Ting1
	ZHAO Chuan1

Cite this article:

XIE Dan1,CHEN Junchun2,QIU Ting1等. Analysis of clinical characteristics of 118 patients with severe COVID-19[J]. Journal of Jiangsu University(Medicine Edition), 2021, 31(02): 139-142.

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http://zzs.ujs.edu.cn/xbyxb/EN/ OR http://zzs.ujs.edu.cn/xbyxb/EN/Y2021/V31/I02/139

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