id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-278300-6cr9h7no	Lu, X.	Classification of COVID-19 in intensive care patients: towards rational and effective clinical triage	2020-04-11		.txt	text/plain	1271	98	46	We aimed to bridge the gap between disease classification and clinical outcome in intensive care patients, data of which are scarce and such classification could help in individual evaluation and provide effective triage for treatment and management. We constructed a fully Bayesian latent variable model for integrative clustering of six data categories, including demographic information, symptoms, original comorbidities, vital signs, blood routine tests and inflammatory marker measurements. We identified four prognostic types of COVID-19 in intensive care patients, presenting a stepwise distribution in age, respiratory condition and inflammatory markers, suggesting the prognostic efficacy of these indicators. Little attention has been paid to the clinical characteristics and outcomes of intensive care patients with COVID-19, data of which are scarce but are of paramount importance to reduce mortality. We aimed to bridge the gap between disease classification and clinical outcome in intensive care patients, which could help in individual evaluation and provide effective triage for treatment and management.	./cache/cord-278300-6cr9h7no.txt	./txt/cord-278300-6cr9h7no.txt