Comparison of the Performance of Various Scores in Predicting Mortality Among Patients Hospitalized With COVID-19.

Introduction Coronavirus disease 2019 (COVID-19) is a major social and economic challenge, devastating the health care system in several countries around the world. Mortality scores are important as they can help health care professionals to plan treatment as per the patients' condition for proper resource allocation. When it comes to patients, it provides invaluable information for implementing advance directives. The aim of the study is to validate mortality scores for predicting in-hospital mortality in patients with COVID-19. Methodology This was a retrospective cohort study that included data from three tertiary care hospitals in Karachi, Pakistan. Data of patients diagnosed with confirmed COVID-19 infection and hospitalized in Ziauddin Hospital, Aga Khan Hospital, and Liaquat National Hospital were enrolled in the study from November 1, 2020, to April 30, 2021. Data was extracted from the hospital management information system (HMIS) using a structured questionnaire. Results Overall, 835 patients were included in the final analysis. The mean age of patients was 53.29 (SD ± 15.17) years, and 675 patients (80.72%) were males. The sensitivity of the CALL score is highest among all four scores, i.e., 77.25%, and the quick Sequential Organ Failure Assessment (qSOFA) score has the lowest sensitivity (59.79%). However, CALL has the lowest specificity (58.04%), while qSOFA has the highest specificity (73.91%). However, MulBSTA and CRB-65 have a sensitivity of 70.11% and 64.96%, respectively. Conclusion The current study showed that the CALL score had better sensitivity as compared to other mortality scores.