Abstract

Severity of disease and mortality due to COVID-19 was found to be high among patients with concurrent medical illnesses and raised levels of inflammatory biomarkers. The aim of the present study is to predict various factors associated with mortality in COVID-19 patients. Methodology: In this retrospective study, we included hospitalized cases of laboratory confirmed COVID-19 disease with age ≥ 18 years who had either discharged or had died. Data regarding demographics, comorbidities, clinical features, severity of COVID-19 illness, laboratory investigations including inflammatory biomarkers (ferratin, D-dimer, CPK-MB, LDH and IL6), imaging, treatment and outcome were retrieved from the hospital record and compared between survivors and non-survivors. Univariate and multivariate logistic regression analyses were performed to investigate the factors associated with mortality. Results: We obtained data of 65 patients out of which 53 (81.5%) patients survived and got discharged whereas 12 (18.5%) patients succumbed to the disease. The mean age of the study population was 56.23 ± 12.91 years and majority of them were male (63%). Univariate analysis across both groups showed that older age, diabetes mellitus, higher CT severity score and raised levels of laboratory parameters viz, D-dimer, CPK-MB and LDH were associated with increased mortality among hospitalized patients. On multivariate analysis, elevated D-dimer levels (10.98; 1.13-106.62, p=0.04) and serum LDH (19.15; 3.28-111.87, p= 0.001) were independently associated with mortality. Conclusion: In conclusion, older patients (>65 years), diabetics and patients with high CT severity score are at increased risk of death from COVID-19. Serum levels of D-dimer and LDH help in predicting mortality in COVID-19 patients.

Description

.