Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics
Type
ArticleAuthor/s
Feng, ZhichaoYu, 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
Abstract
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 ...
See moreThe 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 retrospective study involving patients with moderate COVID-19 pneumonia to investigate the utility of chest computed tomography (CT) and clinical characteristics to risk-stratify the patients. Our results show that CT severity score is associated with inflammatory levels and that older age, higher neutrophil-to-lymphocyte ratio (NLR), and CT severity score on admission are independent risk factors for short-term progression. The nomogram based on these risk factors shows good calibration and discrimination in the derivation and validation cohorts. These findings have implications for predicting the progression risk of COVID-19 pneumonia patients at the time of admission. CT examination may help risk-stratification and guide the timing of admission.
See less
See moreThe 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 retrospective study involving patients with moderate COVID-19 pneumonia to investigate the utility of chest computed tomography (CT) and clinical characteristics to risk-stratify the patients. Our results show that CT severity score is associated with inflammatory levels and that older age, higher neutrophil-to-lymphocyte ratio (NLR), and CT severity score on admission are independent risk factors for short-term progression. The nomogram based on these risk factors shows good calibration and discrimination in the derivation and validation cohorts. These findings have implications for predicting the progression risk of COVID-19 pneumonia patients at the time of admission. CT examination may help risk-stratification and guide the timing of admission.
See less
Date
2020Share