id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-258812-svw6z4bf	Hu, Haifeng	Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis	2020-09-04		.txt	text/plain	4421	224	47	Univariate and multivariate analysis showed that venerable age, hypertension, lymphopenia, hypoalbuminemia and elevated neutrophil lymphocyte ratio (NLR) were the independent high-risk factors for severe COVID-19. The demographics and initial laboratory indexes with significant differences between the two groups were assessed by univariate and multivariate logistic regression analysis to explore the independent early predictors and risk factors associated with the disease severity of COVID-19. The results of Kaplan-Meier survival curves with log-rank test showed that venerable age (≥60 years old), comorbidity, hypertension, lymphopenia, hypoalbuminemia, elevated NLR and VIEWPOINTS RESEARCH THEME 1: COVID-19 PANDEMIC CRP could obstruct the recovery and discharge of patients ( Table 3 and Figure 3) . According to the order of area under ROC curve from large to small, these early predictors were the severe COVID-19 risk model (0.920), albumin (0.867), NLR (0.835), lymphocyte count (0.826), and age (0.747), successively ( Table 4 and Figure 4) .	./cache/cord-258812-svw6z4bf.txt	./txt/cord-258812-svw6z4bf.txt