期刊论文详细信息
BMC Medical Research Methodology
Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study
Shaghayegh Haghjooy Javanmard1  Babak Amra2  Hamid Reza Marateb3  Miquel Angel Mañanas4  Marjan Mansourian5  Ramin Sami6  Martin Wolkewitz7  Maja von Cube7  Harald Binder7  Razieh Hassannejad8  Peyman Adibi9  Mojgan Mortazavi1,10  Nilufar Khademi1,11  Arash Toghyani1,11  Nastaran Sadat Hosseini1,11  Forogh Soltaninejad1,12 
[1] Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran;Bamdad Respiratory Research Center, Isfahan University of Medical Sciences, Isfahan, Iran;Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Isfahan, Iran;Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC)Building H, Floor 4, Av. Diagonal 647, 08028, Barcelona, Spain;Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC)Building H, Floor 4, Av. Diagonal 647, 08028, Barcelona, Spain;Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Madrid, Spain;Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC)Building H, Floor 4, Av. Diagonal 647, 08028, Barcelona, Spain;Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran;Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany;Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran;Isfahan Gastroenterology and Hepatology Research Center (lGHRC), Isfahan University of Medical Sciences, Isfahan, Iran;Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran;School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;The Respiratory Research Center, Pulmonary Division, Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;
关键词: Cause-specific hazard regression;    COVID-19;    Mortality;    Prognosis;    Risk assessment;    Risk chart;   
DOI  :  10.1186/s12874-021-01340-8
来源: Springer
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【 摘 要 】

BackgroundAlready at hospital admission, clinicians require simple tools to identify hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve resource allocation and patient management within hospitals. From the statistical point of view, extended time-to-event models are required to account for competing risks (discharge from hospital) and censoring so that active cases can also contribute to the analysis.MethodsWe used the hospital-based open Khorshid COVID Cohort (KCC) study with 630 COVID-19 patients from Isfahan, Iran. Competing risk methods are used to develop a death risk chart based on the following variables, which can simply be measured at hospital admission: sex, age, hypertension, oxygen saturation, and Charlson Comorbidity Index. The area under the receiver operator curve was used to assess accuracy concerning discrimination between patients discharged alive and dead.ResultsCause-specific hazard regression models show that these baseline variables are associated with both death, and discharge hazards. The risk chart reflects the combined results of the two cause-specific hazard regression models. The proposed risk assessment method had a very good accuracy (AUC = 0.872 [CI 95%: 0.835–0.910]).ConclusionsThis study aims to improve and validate a personalized mortality risk calculator based on hospitalized COVID-19 patients. The risk assessment of patient mortality provides physicians with additional guidance for making tough decisions.

【 授权许可】

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