Retrospective Analysis of COVID-19 Patients Admitted to a Tertiary Care Center.

To analyze risk factors associated with mortality in hospitalized COVID-19 patients. The study's goal was to create a predictive model to predict the risk of death in patients hospitalized with COVID-19. The six selected parameters [(1) Age, (2) blood urea nitrogen (BUN) value, (3) Cardiac comorbidity, (4) lung Comorbidity, (5) Diabetes mellitus, and (6) Elevated white blood cell (WBC) count at admission] can be monitored in low-resource settings or rural settings and can be remembered by a simple mnemonic-ABC-CDE. The epidemiological, clinical, and laboratory profiles of confirmed COVID-19 patients hospitalized from March 25 to October 31, 2020, were gathered from the hospital's medical records department and retrospectively analyzed. A total of 399 patients with COVID-19, hospitalized during the study period, were included in the study. The median age was 53.87 years, and 67.34% of participants were male. The overall mortality was 7.8%. The risk score for ABC-CDE with a cutoff score of 4 had a sensitivity of 67.7%, specificity of 83.5%, positive predictive value (PPV) of 25.6%, and negative predictive value (NPV) of 96.9%. The risk score for ABC-CDE to predict mortality in patients with COVID-19 during hospitalization is simple, easy to access, available, economically viable, and easy to remember.