id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-288020-vhtr3l0w	Côté, Andréanne	Early prediction of the risk of severe coronavirus disease 2019: A key step in therapeutic decision making	2020-08-15		.txt	text/plain	1348	66	42	In the present study, the blood sampling and assessment of risk factors used to determine the HNC-LL risk score were performed on the day of hospital admission. Previous studies have reported that an important proportion (>20%) of hospitalized patients with COVID-19 present with a marked elevation of circulating biomarkers of inflammation (CRP, Ferritin), cardiovascular damage (Troponin) and thrombo-embolism (D-Dimers), identifying subgroups of patients at high risk of in-hospital morbidity and mortality [7] [8] [9] . Predictive scores that include blood biomarkers of inflammation may help to target the subset of patients who should receive dexamethasone or other anti-inflammatory therapy at an early stage of the disease and could aid in the optimal design of new therapeutic trials. Development and validation of the HNC-LL score for predicting the severity of coronavirus disease 2019	./cache/cord-288020-vhtr3l0w.txt	./txt/cord-288020-vhtr3l0w.txt