Abstract 11564: Epicardial Adipose Tissue Thickness as a Mortality Risk Marker in Covid-19

Abstract

Intro: Cardiac involvement in COVID-19 infection is common. Epicardial adipose tissue functions as an inflammatory depot, and a thickness (EAT-T) >5mm is associated with increased cardiovascular risk. The present study assessed the significance of increased EAT-T in patients with COVID-19. Methods: A retrospective cohort study of 149 consecutive patients diagnosed with COVID-19 between March 2020 to January 2021 was performed. Inclusion criteria were lab-confirmed COVID-19 infection and having a Chest CT scan without contrast during hospitalization. EAT-T was measure in right ventricle free wall (Figure 1). Characteristic of patients and comparisons were analyzed by T-Test and Chi-square. Log-linear analysis and cumulative logistic regression was carried out to predict effect between EAT-T and mortality Results: The mean age was 67 ± 15 years, 65% were male, and time from onset of symptoms was 7 ± 5 days. Forty-seven (31.5%) patients required mechanical ventilation, and 34 (22.8%) required vasopressors. Medical therapy included convalescent plasma (36%), Remdesivir (28%), Tocilizumab (46%), Enoxaparin (64%), and Dexamethasone (39%). There were 36 (24.2%) in-hospital deaths, with a greater incidence amongst patients with an EAT-T > 5 mm versus ≤ 5 mm (95 vs 5%, p=.001). Notably, age was not significantly different on patients with in-hospital mortality (69 vs 66 years, p=0.5), and higher EAT-T by 2.17 mm on patient with acute respiratory distress syndrome (p=.001) and 10.9 mm in myocardial infarction (p=.02). In multivariable analysis an EAT-T >5mm was associated with an increased risk of mortality (OR 12.3, 95% CI 3-55, p=.001). In the presence of EAT-T > 5 mm, no effect was observed by chronic kidney disease, hypertension, coronary artery disease, dyslipidemia, or body mass index (p >0.5). Conclusions: In patients with COVID-19, an EAT-T > 5 mm is associated with increased risk of in-hospital mortality and may provide important risk stratification.