id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-288810-ab7k70c4	Zheng, Yingyan	Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19	2020-06-24		.txt	text/plain	3369	188	42	title: Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19 OBJECTIVE: The purpose of our study was to investigate the predictive abilities of clinical and computed tomography (CT) features for outcome prediction in patients with coronavirus disease (COVID-19). The prognostic nomogram based on the combination of clinical and CT features could be a useful tool for predicting adverse outcomes of patients with COVID-19. Chest CT manifestations of regional involvement, scattering distribution, transverse distribution, the number of involved https://doi.org/10.3348/kjr.2020.0485 kjronline.org pulmonary segments, extent, shape, ground-glass opacity (GGO), consolidation, crazy-paving sign, halo sign, reversed halo sign (RHS), air bronchogram, bronchiectasis, vascular enlargement, pleural thickening, pleural retraction, pleural effusion, and mediastinal lymphadenopathy were assessed. The nomogram developed using a combination of clinical and CT features could aid in https://doi.org/10.3348/kjr.2020.0485 kjronline.org predicting adverse outcomes for patients with COVID-19.	./cache/cord-288810-ab7k70c4.txt	./txt/cord-288810-ab7k70c4.txt