id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-300324-95fty9yi	Ni Lochlainn, M.	Key predictors of attending hospital with COVID19: An association study from the COVID Symptom Tracker App in 2,618,948 individuals	2020-04-29		.txt	text/plain	4271	247	51	Conclusions: Being older, obese, diabetic or suffering from pre-existing lung, heart or renal disease placed participants at increased risk of visiting hospital with COVID-19. Visit to hospital as outcome were fit to test for association between i) self-reported obesity and ii) chronic lung disease and asthma, heart disease, diabetes and kidney disease in the following groups: 1) self-reported COVID-19 infection with classical symptoms (SR-COVID19); 2) self-reported positive COVID-19 test results (T-COVID19); 3) imputed/predicted COVID-19 infection based on symptomatology (I-COVID19) Imputation for testing positive for COVID was performed using the data at day of maximum sum of symptoms and applying a logistic regression using coefficients defined previously (2) . In this study we found that age, obesity, diabetes and pre-existing lung, renal and cardiac disease, were risk factors for a hospital visit with COVID-19 amongst a large but relatively young, community-based population of app users.	./cache/cord-300324-95fty9yi.txt	./txt/cord-300324-95fty9yi.txt