id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-346288-9to4sdfq	Haimovich, A.	Development and validation of the COVID-19 severity index (CSI): a prognostic tool for early respiratory decompensation	2020-05-12		.txt	text/plain	5019	272	43	Main outcome and performance measures: We used a composite endpoint of respiratory critical illness as defined by oxygen requirement beyond low-flow nasal cannula (e.g., non-rebreather mask, high-flow nasal cannula, bi-level positive pressure ventilation), intubation, or death within the first 24 hours of hospitalization. Conclusions: A significant proportion of admitted COVID-19 patients decompensate within 24 hours of hospital presentation and these events are accurately predicted using respiratory exam findings within a simple scoring system. 9, 10 Second, to aid healthcare providers in assessing illness severity in COVID-19 positive patients, we present two predictive models of early respiratory decompensation during hospitalization: the quick COVID-19 severity index (qCSI) and a machine learning-derived COVID-19 Severity Index (CSI). Consistent with clinical observations, we noted a significant rate of progression to critical respiratory illness within the first 24 hours of hospitalization in COVID-19 patients.	./cache/cord-346288-9to4sdfq.txt	./txt/cord-346288-9to4sdfq.txt