Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19.
Yingyan ZhengAnling XiaoXiang-Rong YuYajing ZhaoYiping LuXuanxuan LiNan MeiDejun SheDongdong WangDaoying GengBo YinPublished in: Korean journal of radiology (2020)
Underlying comorbidity, lymphocyte count and crazy-paving sign were independent predictors of adverse outcomes. 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.