Abstract

Identifying high-risk individuals, especially during their initial encounters in clinics and hospital emergency services, is crucial to provide timely effective treatment. [...]the timely risk stratification of COVID-19 patients in the emergency room can greatly benefit both infected individuals and healthcare professionals. [...]logistic regression was used to establish the prediction model. Given the substantial clinical burden during the pandemic, the need to triage patients for home care vs. hospital care and stratifying admitted patients into intensive care units or low-risk beds is highly desirable. [...]a prediction model of CRPS with five clinical and biochemical parameters and a simplified version

Details

Title
COVID-19 risk prediction scores for mortality: A validation study from the National Registry of COVID-19 in China
Author
Peng Sui 1 ; Tsoi Kelvin KF 2 ; Wu, Jianfeng 3 ; Yim, Steve HL 4 ; Wang, Haibo 1 ; Zhou, Qian 1 ; Han, Xiao 5 ; Weng Zongpeng 1 ; Li, Bin 1 ; Kuang Ming 6 ; Long Jianyan 1 ; Sung Joseph JY 7 ; Xiao Haipeng 8 

 Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China 
 Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong 999077, China; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong 999077, China 
 Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China 
 Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong 999077, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China 
 Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China 
 Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China 
 Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong 999077, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong 999077, China 
 Department of Endocrinology, Precision Medicine Institute, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China 
Pages
743-745
Section
Correspondence
Publication year
2024
Publication date
Mar 2024
Publisher
Lippincott Williams & Wilkins Ovid Technologies
ISSN
03666999
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2968611186
Copyright
Copyright © 2024 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.