Evaluation of Risk Factors for Predicting Mortality in Critically Ill Adult COVID-19 Patients: A Retrospective Cohort Study

Abstract

Background and Objective: Various risk factors have been evaluated to predict the mortality associated with COVID-19. We aim to explore and compare the clinical and laboratory risk factors with various outcomes of the disease between survivors and non-survivors amongst patients with moderate to severe COVID-19 disease. Methods: All COVID-19 adult (≥ 18 years old) ICU in-patients with a definite outcome i.e. either death or discharge were included. The demographic, clinical, laboratory, treatment, and outcome data were retrieved. To explore the association between factors, univariate and multivariate logistic regression were done. Results: A total of 163 patients were included out of which eight patients were shifted to other hospitals. Finally, a total of 145 patients were included in the study. Out of 145, 47 patients didn’t survive and 98 survived. A significant proportion (85%) of non-survivors were current smokers and were observed to have COPD, HT, and CAD as comorbidities when compared to the survivors. The qSOFA score, CRP, and TLC counts were included in the multivariable logistic regression with the former being the independent risk factor. Interpretation and Conclusion: Our study highlighted that older age, higher SOFA score, increased levels of total leucocyte count, and C-Reactive protein were independent risk factors affecting the clinical outcome in moderate to severe COVID-19 patients; however, qSOFA was found to be an independent risk factor predictor.