id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-292341-uo54ghf3	Cocconcelli, Elisabetta	Clinical Features and Chest Imaging as Predictors of Intensity of Care in Patients with COVID-19	2020-09-16		.txt	text/plain	5195	249	47	Univariate logistic regression analysis of factors associated with level of care revealed that sex, age, smoking history, FiO2, pO2 in room air at admission, bacterial co-infections developed during hospitalization, CVDs, metabolic and oncologic diseases and chest X-ray global score had significant positive association with a higher level of care in the entire study population (Table 3) . Univariate logistic regression analysis of factors associated with level of care revealed that sex, age, smoking history, FiO2, pO2 in room air at admission, bacterial co-infections developed during hospitalization, CVDs, metabolic and oncologic diseases and chest X-ray global score had significant positive association with a higher level of care in the entire study population (Table 3) . This is a retrospective analysis of clinical features and radiographic severity scores in patients with COVID-19 and how these parameters on hospital admission correlate with different levels of medical care (i.e., HIMC vs.	./cache/cord-292341-uo54ghf3.txt	./txt/cord-292341-uo54ghf3.txt