id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-317605-s9vv7rw4	Zhou, Y.	A New Predictor of Disease Severity in Patients with COVID-19 in Wuhan, China	2020-03-27		.txt	text/plain	2930	179	58	This study sought to elucidate a novel predictor of disease severity in patients with coronavirus disease-19 (COVID-19) cased by SARS-CoV-2. The outcomes of patients with severe pneumonia and those with non-severe pneumonia were compared using the Statistical Package for the Social Sciences (IBM Corp., Armonk, NY, USA) to explore clinical characteristics and risk factors. The ROC curve was used to analyze the predictive value of N/L, CRP, and D-dimer for determining disease severity in patients with COVID-19. To further explore the predictive value of N/L*CRP*D-dimer in the severity of COVID-19, we also conducted an internal validation. Patients with N/L*CRP*D-dimer results of less than 5.32 were classified as patients with non-severe pneumonia in predicted groups. Although N/L, CRP, and D-dimer were independent risk factors for the severity of COVID-19, the ROC curve showed that they have a low predictive value for the severity of the infection. In general, the product of N/L*CRP*D-dimer is a new predictive value for the severity of COVID-19.	./cache/cord-317605-s9vv7rw4.txt	./txt/cord-317605-s9vv7rw4.txt