id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-014980-cz1gx9oj	Cheng, Qinglin	Nomogram for the Individualized Prediction of Survival Among Patients with H7N9 Infection	2020-03-20		.txt	text/plain	6145	315	46	Stepwise selection was applied to the data, which resulted in a final model with 8 independent predictors [including initial PaO(2)/FiO(2) ratio ≤300 mmHg, age ≥60 years, chronic diseases, poor hand hygiene, time from illness onset to the first medical visit, incubation period ≤5 days, peak C-reactive protein ≥120 mg/L], and initial bilateral lung infection. 11 To better evaluate the predictors associated with survival outcomes, based on a matched case−control study (1:2 ratios), we retrospectively investigated the sociodemographic, clinical and epidemiological data of 227 laboratoryconfirmed cases of H7N9 VI in Zhejiang province, China, between March 1, 2013, and May 31, 2019. With 8 variables of training set such as IPFR ≤300 mmHg, IBLI, peak CRP ≥ 120 mg/L, TIOFMV, IP ≤ 5 days, CD, PHH, and age ≥60 years in Table 4 , it was possible to create a nomogram to predict the probability of survival from influenza A (H7N9) (Figure 2 ).	./cache/cord-014980-cz1gx9oj.txt	./txt/cord-014980-cz1gx9oj.txt