1- Hamadan University of Medical Sciences 2- ahvaz jundishapur university of medical sciences 3- university of social welfare and rehabilitation science , shimashirozhan@gmail.com
Abstract: (217 Views)
Background andAim: A variety of factors, such as age and underlying diseases, affect the severity of covid-19 and its mortality rate, which is important to know to management of the disease in vulnerable people. This study aims to examine the association between outcome of covid-19 and demographic characteristics, underlying diseases, serum biomarkers, and level of care for inpatients. Materials and Methods:This retrospective cohort study was conducted in Sina Hospital in Hamadan in 1400. All adult hospitalized patients who had diagnosis of COVID-19 were included in the study through convenience sampling during a three-month period. Demographic information and clinical status data were collected using a designed questionnaire and analyzed using independent t, Mann-Whitney,and multivariate logistic regression analysis test by SPSS software. Results:A total of 283 hospitalized patients with a mean age of 57.22 years participated in this study, of which 67 died. 92.4% of the patients died over 50 years of age and the number of them was significantly different compared to patients under 50 years of age (p<0.001). People who died with any documented history of underlying diseases accounted for 83.3% of the deceased, and their proportion was statistically significant compared to patients without underlying disease (p 0.0005). Severe acute respiratory distress syndrome (ARDS) was significantly different in the deceased (28.8%) compared to survivors (3.9%)(p<0.001). The results of this study indicated that age, sex, history of underlying diseases, serum BUN level and severity of acute respiratory distress syndrome are predictors of death in patients with Covid-19. Conclusion: These findings remind the need to pay more attention to preventive interventions in older people with underlying diseases. It can also help healthcare professionals consider predictors of mortality in planning for timely prevention and appropriate treatment and care plans.