id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-350468-32qin4ak	Song, Cong-Ying	Immune dysfunction following COVID-19, especially in severe patients	2020-09-28		.txt	text/plain	2958	177	55	Multivariate logistic regression analysis showed that CD4(+) cell count, neutrophil-to-lymphocyte ratio (NLR) and D-dimer were risk factors for severe cases. Afterward, the CD4 + cell count (P = 0.015), NLR (P = 0.032) and D-dimer (P = 0.016) were considered the independent risk factors of the severe COVID-19 cases (Table 3) www.nature.com/scientificreports/ To evaluate the predictive value of CT score, CPIS, and three independent risk factors, the ROC curve analysis was performed (Fig. 7) . In our study, we compared clinical characteristics between healthy people and COVID-19 patients, and then compared these features between severe and mild cases. Parameters including CD4 + T cell count, NLR, and D-dimer, CT score, and CPIS had quite great value for predicting disease severity, which could be considered in early warning of severe patients. Several studies have shown that severe SARS-CoV-2-infected patients have a higher NLR 11, 12 , an independent risk factor for mortality in COVID-19 patients 13 .	./cache/cord-350468-32qin4ak.txt	./txt/cord-350468-32qin4ak.txt