Author: Chen, Yinyin; Linli, Zeqiang; Lei, Yuting; Yang, Yiya; Liu, Zhipeng; Xia, Youchun; Liang, Yumei; Zhu, Huabo; Guo, Shuixia
Title: Risk Factors for Mortality in Critically Ill Patients with COVIDâ€19 in Huanggang, China: A Singleâ€Centre Multivariate Pattern Analysis Cord-id: 93ctwoa3 Document date: 2020_9_30
ID: 93ctwoa3
Snippet: To date, the coronavirus disease 2019 (COVIDâ€19) has a worldwide distribution. Risk factors for mortality in critically ill patients, especially detailed selfâ€evaluation indicators and laboratoryâ€examination indicators, have not been well described. In this paper, a total of 192 critically ill patients (142 were discharged and 50 died in the hospital) with COVIDâ€19 were included. Selfâ€evaluation indicators including demographics, baseline characteristics and symptoms and detailed labâ€
Document: To date, the coronavirus disease 2019 (COVIDâ€19) has a worldwide distribution. Risk factors for mortality in critically ill patients, especially detailed selfâ€evaluation indicators and laboratoryâ€examination indicators, have not been well described. In this paper, a total of 192 critically ill patients (142 were discharged and 50 died in the hospital) with COVIDâ€19 were included. Selfâ€evaluation indicators including demographics, baseline characteristics and symptoms and detailed labâ€examination indicators were extracted. Data were first compared between survivors and nonâ€survivors. Multivariate pattern analysis (MVPA) was performed to identify possible risk factors for mortality of COVIDâ€19 patients. MVPA achieved a relatively high classification accuracy of 93% when using both selfâ€evaluation indicators and laboratoryâ€examination indicators. Several selfâ€evaluation factors related to COVIDâ€19 were highly associated with mortality, including age, duration (time from illness onset to admission), and the Barthel index score. When the duration, age and Barthel index increased by one day, one year and one point, the mortality increased by 3.6%, 2.4% and 0.9% respectively. Laboratoryâ€examination indicators including Câ€reactive protein (CRP), white blood cell (WBC) count, platelet count, fibrin degradation products (FDP), oxygenation index (OI), lymphocyte count and Dâ€dimer were also risk factors. Among them, duration was the strongest predictor of allâ€cause mortality. Several selfâ€evaluation indicators that can simply be obtained by questionnaires and without clinical examination were the risk factors of allâ€cause mortality in critically ill COVIDâ€19 patients. The prediction model can be used by individuals to improve health awareness, and by clinicians to identify highâ€risk individuals. This article is protected by copyright. All rights reserved.
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