Collective and Individual Assessment of the Risk of Death from COVID-19 for the Elderly,2020–2022
作者机构：Shanghai Key Laboratory of Clinical Geriatric MedicineDepartment of Geriatric MedicineHuadong HospitalShanghai Medical CollegeFudan UniversityShanghaiChina Shanghai Key Laboratory of Magnetic ResonanceResearch Center for Artificial Intelligence in Medical ImagingEast China Normal UniversityShanghaiChina Department of Scientific ResearchShanghai Public Health Clinical CenterShanghaiChina Department of Endocrinology and MetabolismGongli HospitalNaval Medical UniversityShanghaiChina
出 版 物：《China CDC weekly》 (中国疾病预防控制中心周报（英文）)
年 卷 期：2023年第5卷第18期
页 面：407-412,I0001,I0002页
核心收录：
学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1002[医学-临床医学] 10[医学]
基 金：This study was financially supported by the National Natural Science Foundation of China(82101631) the Key Specialty Construction Project of Pudong Health and Family Planning Commission of Shanghai(PWZzK2022-05).
摘 要：Introduction:Coronavirus disease 2019(COVID-19)has had profound disruptions worldwide.For a population or individual,it is critical to assess the risk of death for making preventative decisions.Methods:In this study,clinical data from approximately 100 million cases were statistically analyzed.A software and an online assessment tool were developed in Python to evaluate the risk of mortality.Results:Our analysis revealed that 76.51%of COVID-19-related fatalities occurred among individuals aged over 65 years,with frailty-associated deaths accounting for more than 80%of these cases.Furthermore,over 80%of the reported deaths involved unvaccinated individuals.A notable overlap was observed between aging and frailty-associated deaths,both of which were connected to underlying health conditions.For those with at least two comorbidities,the proportion of frailty and the proportion of COVID-19-related death were both close to 75 percent.Subsequently,we established a formula to calculate the number of deaths,which was validated using data from twenty countries and regions.Using this formula,we developed and verified an intelligent software designed to predict the death risk for a given population.To facilitate rapid risk screening on an individual level,we also introduced a six-question online assessment tool.Conclusions:This study examined the impact of underlying diseases,frailty,age,and vaccination history on COVID-19-related mortality,resulting in a sophisticated software and a user-friendly online scale to assess mortality risk.These tools offer valuable assistance in informed decision-making.
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