1189Sociodemographic, clinical and morbidity factors associated with COVID 19 mortality : A retrospective observational study

Background The mortality from COVID 19 in India is low, as compared to western countries, but the steady increase in number of cases is a worrying sign. The objectives of this study were to identify and quantify the association between sociodemographic and clinical characteristics with mortality in patients with COVID-19 at a tertiary care hospital in Udaipur, Rajasthan. Material and methods This retrospective observational study involved 824 patients hospitalized for COVID 19 at a tertiary hospital in Udaipur, who were discharged or who died. Electronic medical records were accessed and information about age, gender, residence, religion, socioeconomic status, history of exposure, clinical characteristics on admission, co morbidities and outcomes (discharged or died). Associations between mortality and baseline characteristics were determined as hazard ratios (HR) calculated using Cox regression model. Results Mortality was 5.82% in our study. The mean age was 48.14 ± 16.2 years. The median time from time of admission to discharge was 8 days (IQR 5–11), whereas the median time to death was 5 days (IQR 4–10). The variables found to be associated with higher mortality were age (HR 1.17; 95% CI % 1.15-1.24), residing in urban area (HR 1.29; 95% CI 1.17–2.15), diabetes mellitus (HR 1.3; CI 1.02-5.57) and patients having both Diabetes and Hypertension (HR 2.4; CI 1.69-3.14). Conclusion Sociodemographic variables and comorbidities impact the mortality among COVID 19 patients. The variables most clearly associated with a greater hazard of death were older age, urban area, diabetes and having both diabetes and hypertension.