Clinical and Demographic Predictors of Mortality due to COVID-19 Pandemic: A Retrospective Study

Abstract

The alarming statistics of COVID-19 surges up in 2021 throwing an enormous burden on the healthcare system across the world. According to WHO reports on 14th April 2021, globally 136,996,364 confirmed COVID-19 cases are reported across the continents, including 2,951,832 deaths. The state of Maharashtra reported the maximum number of cases of India including high mortality rate. This study was conducted to identify and describe the relation of different predictors (Age, gender, duration of hospital stay, presence of co morbidities) of mortality among the COVID-19 deceased patients by retrospectively analyzing the medical case records of 121 patients from a dedicated COVID hospital at Aurangabad from July 2020 to December 2020. Chi-square test was performed to assess the association between causes of death with different cluster of variables and their significance. This study helps us to identify risk factors that show association between various predictors and mortality rate in COVID-19 patients. Out of 121 deaths, 96 (79%) were male, 61 (49.6%) were in age group between 60-79 years, ARDS was one of the major complication in the deceased patients accounting 29.8% and cardio respiratory arrest was the common cause of death among the deceased patients with 85%. It was also observed that mortality rate was very higher in the initial five days of hospitalization with critical care support. Our result findings provide clinical inferences for physicians to identify high-risk factors with COVID-19 at a very early stage. Key words: COVID-19, Mortality rate, Demographic predictors, Co-morbidities, Cardio respiratory arrest.