id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-310676-125o0o7x	Liu, Qibin	Prediction of the clinical outcome of COVID-19 patients using T lymphocyte subsets with 340 cases from Wuhan, China: a retrospective cohort study and a web visualization tool	2020-04-11		.txt	text/plain	2812	163	56	title: Prediction of the clinical outcome of COVID-19 patients using T lymphocyte subsets with 340 cases from Wuhan, China: a retrospective cohort study and a web visualization tool Multivariate logistic regression model with death or discharge as the outcome resulted in the following significant predictors: age (OR 1.05, p 0.04), underlying disease status (OR 3.42, p 0.02), Helper T cells on the log scale (OR 0.22, p 0.00), and TH/TS on the log scale (OR 4.80, p 0.00). The death event occurred more quickly among elderly patients ( We also performed a multivariate logistic regression model using age, underlying disease status, and the baseline T lymphocyte subsets test as the predictors to predict the patient outcome (death or hospital discharge). In this study we have identified that older age, underlying diseases, and low T cell counts may be risk factors for poor clinical outcomes in COVID-10 positive patients.	./cache/cord-310676-125o0o7x.txt	./txt/cord-310676-125o0o7x.txt