Objective:The present study aimed to identify predictive factors for mortality among elderly individuals infected with COVID-19.Methods and Materials:This historical cohort study was conducted from July to December 20...Objective:The present study aimed to identify predictive factors for mortality among elderly individuals infected with COVID-19.Methods and Materials:This historical cohort study was conducted from July to December 2021 in the specialized departments for COVID-19 patients at one of the hospitals in Mashhad,Iran.Data were collected from the medical records of 404 elderly patients.Sampling was conducted using the convenience sampling method.Data were gathered through a demographic and clinical checklist developed by the researcher.Univariate and multivariate Cox regression were used to analyze the data.Results:The mortality rate among elderly individuals was 25%(n=101).Multiple regression analysis revealed significant associations between mortality and age(hazard ratio[HR]=0.58,95%confidence interval[CI]:0.38,0.88;P=0.011),level of consciousness(HR=0.31,95%CI:0.19,0.50;P<0.001),and SpO2(HR=0.58,95%CI:0.37,0.92;P=0.022).The probability of survival after the 19th day of hospitalization was 50%.Conclusions:Determining predictors of death allows for early identification of elderly individuals at risk and enables the health-care team to provide more effective care,ultimately saving the lives of elderly individuals by allocating appropriate facilities and equipment.展开更多
文摘Objective:The present study aimed to identify predictive factors for mortality among elderly individuals infected with COVID-19.Methods and Materials:This historical cohort study was conducted from July to December 2021 in the specialized departments for COVID-19 patients at one of the hospitals in Mashhad,Iran.Data were collected from the medical records of 404 elderly patients.Sampling was conducted using the convenience sampling method.Data were gathered through a demographic and clinical checklist developed by the researcher.Univariate and multivariate Cox regression were used to analyze the data.Results:The mortality rate among elderly individuals was 25%(n=101).Multiple regression analysis revealed significant associations between mortality and age(hazard ratio[HR]=0.58,95%confidence interval[CI]:0.38,0.88;P=0.011),level of consciousness(HR=0.31,95%CI:0.19,0.50;P<0.001),and SpO2(HR=0.58,95%CI:0.37,0.92;P=0.022).The probability of survival after the 19th day of hospitalization was 50%.Conclusions:Determining predictors of death allows for early identification of elderly individuals at risk and enables the health-care team to provide more effective care,ultimately saving the lives of elderly individuals by allocating appropriate facilities and equipment.
