Individualized model for predicting COVID‐19 deterioration in patients with cancer: A multicenter retrospective study

The 2019 novel coronavirus has spread rapidly around the world. Cancer patients seem to be more susceptible to infection and disease deterioration, but the factors affecting the deterioration remain unclear. We aimed to develop an individualized model for prediction of coronavirus disease (COVID‐19)...

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Veröffentlicht in:	Cancer science 2021-06, Vol.112 (6), p.2522-2532
Hauptverfasser:	Xu, Bin, Song, Ke‐Han, Yao, Yi, Dong, Xiao‐Rong, Li, Lin‐Jun, Wang, Qun, Yang, Ji‐Yuan, Hu, Wei‐Dong, Xie, Zhi‐Bin, Luo, Zhi‐Guo, Luo, Xiu‐Li, Liu, Jing, Rao, Zhi‐Guo, Zhang, Hui‐Bo, Wu, Jie, Li, Lan, Gong, Hong‐Yun, Chu, Qian, Song, Qi‐Bin, Wang, Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Analysis Area Under Curve Aspartate aminotransferase Bilirubin Cancer Cancer patients Cancer therapies Cell number China Comorbidity Computed tomography Coronaviruses COVID-19 COVID-19 - mortality Decision Support Techniques deterioration Diabetes Disease Disease Progression Disease susceptibility Female Fever Health aspects Humans Hypertension Infections Laboratories Lymphocytes Male Medical prognosis Middle Aged Neoplasms - mortality Neoplasms - virology Nomograms Oncology, Experimental Original Patients Precision Medicine Prediction models Prognosis Regression analysis Retrospective Studies retrospective study Risk Factors Risk groups risk model Serum levels Severe acute respiratory syndrome coronavirus 2 Survival Analysis Urea
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