Ping Luo

Huazhong University of Science and Technology - Center for Translational Medicine

Wuhan

China

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A 'Burning Point' Is Found Before the Composite End Point Event Happened in Critically Ill Patients with COVID-19: A Multicenter Retrospective Study

Number of pages: 46 Posted: 20 Apr 2020
Mei Zhou, Juanjuan Xu, Xingjie Hao, Xueyun Tan, Zhihui Wang, Zhilei Lv, Guorong Hu, Jinxiu Fan, Limin Duan, Wenjing Xiao, Ping Luo, Wei Geng, Zhengrong Yin, Yi An and Yang Jin
Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Scientific Research, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, The Wuhan Union Red Cross Hospital - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Center for Translational Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Anesthesiology and Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases
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Abstract:

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Novel Coronavirus Disease (COVID-19); Severe and critically ill patients; Composite end point event (CEPE); Burning point; Early warning system; High-risk period; Change pattern; Pseudo-improvement point; Nomogram; Linear mixed model (LMM)