id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-340938-mk01k235	Xu, Kandi	Application of ordinal logistic regression analysis to identify the determinants of illness severity of COVID-19 in China	2020-07-07		.txt	text/plain	4143	227	48	A retrospective cohort of COVID-19 patients from four hospitals in three provinces in China was established, and 598 patients were included from 1 January to 8 March 2020, and divided into moderate, severe and critical illness group. To our knowledge, no previous studies have been conducted to investigate the risk factors of severity of COVID-19 based on ordinal response, namely moderate, severe and critical illness. Here, we conducted a retrospective study based on COVID-19 patients from four designated hospitals in Shanghai, Hubei and Anhui provinces to describe the clinical features of COVID-19, and aimed to identify the predictors of multi-level response of severity from moderate, severe to critical illness. In this study, we identified older age, presence of hypertension, elevated ALT, cTnI and myohaemoglobin, prolonged interval between illness onset and diagnosis and admission as the independent determinants to predict the risk of developing more severe illness among COVID-19 patients.	./cache/cord-340938-mk01k235.txt	./txt/cord-340938-mk01k235.txt