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
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1 Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
2 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
3 Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
4 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
5 Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
6 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
7 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
8 Department of Endocrinology, Precision Medicine Institute, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China