id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-334801-p5mxc694	Van Singer, Mathias	COVID-19 risk stratification algorithms based on sTREM-1 and IL-6 in emergency department	2020-10-09		.txt	text/plain	2006	129	50	We evaluated the accuracy of clinical signs and these biomarkers in predicting 30-day intubation/mortality, and oxygen requirement by calculating the area under the receiver operating characteristic curve (AUROC) and by classification and regression tree analysis. sTREM-1-and IL-6-based algorithms are 54 highly sensitive to identify patients with adverse outcome and could serve as early triage The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has led to 84 surges of patients that can overwhelm health systems (1) (2) (3) (4) . Current prediction 90 models to support clinical decision making for Coronavirus disease (COVID-19) patients 91 were developed based on demographics, clinical signs and symptoms, imaging techniques, 92 biomarkers or a combination of these variables, however most are poorly validated and at risk 93 of bias (10). 282 The CRT analysis performed with all clinical signs, severity scores and biomarkers to predict Since we could also use this triage tool to identify patients at high risk of poor outcomes, we 290 tested this algorithm to predict 7-and 30-day intubation/death.	./cache/cord-334801-p5mxc694.txt	./txt/cord-334801-p5mxc694.txt