id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-333459-asem8xjz	Mallipattu, S K	Geospatial Distribution and Predictors of Mortality in Hospitalized Patients with COVID-19: A Cohort Study	2020-09-14		.txt	text/plain	3204	193	52	Geospatial distribution of study patients' residence relative to population density in the region were mapped and data analysis included hospital length of stay, need and duration of invasive mechanical ventilation (IMV), and mortality. Logistic regression models were constructed to predict discharge dispositions in our patient population (excluding patients that remained actively hospitalized at the end of the study period)-one model used only variables available at the beginning of an encounter to predict overall outcomes and a second model included more variables in an attempt to find associations with outcomes in mechanically ventilated patients. In patients who received IMV, only age 65 years, male gender, comorbidities (hypertension, heart failure), need for kidney replacement therapy, and acute kidney injury during hospitalization were significantly associated with increased mortality in the univariate analysis (Supplemental Table 5 ).	./cache/cord-333459-asem8xjz.txt	./txt/cord-333459-asem8xjz.txt