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

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

Early identification of COVID-19 patients at risk of progression may facilitate more individually aligned treatment plans. Here the authors develop an online nomogram incorporating CT severity score and clinical characteristics for early predicting the disease progression risk among COVID-19 pneumon...

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Autores principales: Zhichao Feng, Qizhi Yu, Shanhu Yao, Lei Luo, Wenming Zhou, Xiaowen Mao, Jennifer Li, Junhong Duan, Zhimin Yan, Min Yang, Hongpei Tan, Mengtian Ma, Ting Li, Dali Yi, Ze Mi, Huafei Zhao, Yi Jiang, Zhenhu He, Huiling Li, Wei Nie, Yin Liu, Jing Zhao, Muqing Luo, Xuanhui Liu, Pengfei Rong, Wei Wang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Science
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Acceso en línea:https://doaj.org/article/8a311c85bc0a4ba896ced8d4511c5331
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Sumario:Early identification of COVID-19 patients at risk of progression may facilitate more individually aligned treatment plans. Here the authors develop an online nomogram incorporating CT severity score and clinical characteristics for early predicting the disease progression risk among COVID-19 pneumonia patients.

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