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Early predictive factors of progression from severe type to critical ill type in patients with Coronavirus Disease 2019: A retrospective cohort study

Authors :
Xizi Zheng
Dong-Xin Wang
Jing Ma
Hao Kong
Xinmin Liu
Haichao Li
Nan Li
Xueying Li
Hong Zhang
Source :
PLoS ONE, PLoS ONE, Vol 15, Iss 12, p e0243195 (2020)
Publication Year :
2020
Publisher :
Public Library of Science, 2020.

Abstract

Background The current worldwide pandemic of Coronavirus Disease 2019 (COVID-19) has posed a serious threat to global public health, and the mortality rate of critical ill patients remains high. The purpose of this study was to identify factors that early predict the progression of COVID-19 from severe to critical illness. Methods This retrospective cohort study included adult patients with severe or critical ill COVID-19 who were consecutively admitted to the Zhongfaxincheng campus of Tongji Hospital (Wuhan, China) from February 8 to 18, 2020. Baseline variables, data at hospital admission and during hospital stay, as well as clinical outcomes were collected from electronic medical records system. The primary endpoint was the development of critical illness. A multivariable logistic regression model was used to identify independent factors that were associated with the progression from severe to critical illness. Results A total of 138 patients were included in the analysis; of them 119 were diagnosed as severe cases and 16 as critical ill cases at hospital admission. During hospital stay, 19 more severe cases progressed to critical illness. For all enrolled patients, longer duration from diagnosis to admission (odds ratio [OR] 1.108, 95% CI 1.022–1.202; P = 0.013), pulse oxygen saturation at admission Conclusions Higher neutrophil count and lower lymphocyte count at admission were early independent predictors of progression to critical illness in severe COVID-19 patients.

Details

Language :
English
ISSN :
19326203
Volume :
15
Issue :
12
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....cab708b5e50f18ab26105df178e77e49