Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics

• Published in: Nature communications Vol. 11; no. 1; pp. 4968 - 9
• Main Authors: Feng, Zhichao, Yu, Qizhi, Yao, Shanhu, Luo, Lei, Zhou, Wenming, Mao, Xiaowen, Li, Jennifer, Duan, Junhong, Yan, Zhimin, Yang, Min, Tan, Hongpei, Ma, Mengtian, Li, Ting, Yi, Dali, Mi, Ze, Zhao, Huafei, Jiang, Yi, He, Zhenhu, Li, Huiling, Nie, Wei, Liu, Yin, Zhao, Jing, Luo, Muqing, Liu, Xuanhui, Rong, Pengfei, Wang, Wei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02.10.2020; Nature Publishing Group; Nature Portfolio
• Subjects: 692/499; 692/699/255; 692/700/1421; Adult; Betacoronavirus; Chest; China; Clinical Laboratory Techniques; Coinfection; Computed tomography; Coronavirus Infections - diagnosis; Coronavirus Infections - pathology; Coronavirus Infections - physiopathology; Coronaviruses; COVID-19; COVID-19 Testing; Disease Progression; Female; Health services; Hospitalization; Humanities and Social Sciences; Humans; Inflammation; Lung - diagnostic imaging; Lung - pathology; Lymphocytes; Male; Middle Aged; multidisciplinary; Neutrophils; Nomograms; Pandemics; Patients; Pneumonia; Pneumonia, Viral - diagnosis; Pneumonia, Viral - pathology; Pneumonia, Viral - physiopathology; Regression Analysis; Retrospective Studies; Risk analysis; Risk Assessment; Risk Factors; SARS-CoV-2; Science; Science (multidisciplinary); Tomography, X-Ray Computed - methods; Viral diseases; China

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification of patients at risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resource. Here we conducted a multicenter retr...