id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-347260-7glhaow6	Bi, Xiaojie	Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count	2020-05-05		.txt	text/plain	2270	150	55	This study aimed to describe the parameters of coagulation function of patients with COVID-19 and reveal the risk factors of developing severe disease. In addition, the Kaplan–Meier analysis revealed that potential risk decreased in patients with FAR<0.0883 and PLT count>135*10(9)/L.The model showed a good negative predictive value [(0.9474 (95%CI = 0.845–0.986)].This study revealed that FAR and PLT count were independent risk factors for severe illness and the severity of COVID-19 might be excluded when FAR<0.0883 and PLT count>135*10(9)/L. In this study, we compared the differences in the indexes of coagulation function and dynamic changes in patients with severe and non-severe COVID-19 to investigate the risk factors of developing severe disease. We then performed a novel Nomogram that integrated FAR and PLT count for 10-day non-severe survival and 20-day nonsevere survival to predict the disease progression for each COVID-19 (Figure 3a) .	./cache/cord-347260-7glhaow6.txt	./txt/cord-347260-7glhaow6.txt