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Epicardial adipose tissue characteristics, obesity and clinical outcomes in COVID-19: A post-hoc analysis of a prospective cohort study. | LitMetric

AI Article Synopsis

  • Obesity-related issues like epicardial adipose tissue (EAT) can affect severity and outcomes in COVID-19 patients by influencing cardiometabolic health and inflammation.
  • A study analyzed 192 COVID-19 patients who underwent CT scans to measure EAT characteristics, focusing on how these factors predict critical illness needing intensive care.
  • Results showed that higher EAT inflammation (EAT-At) was a significant predictor of severe COVID-19 outcomes, while certain clinical variables also helped identify risk groups for critical illness.

Article Abstract

Background And Aims: Obesity-related cardiometabolic risk factors associate with COVID-19 severity and outcomes. Epicardial adipose tissue (EAT) is associated with cardiometabolic disturbances, is a source of proinflammatory cytokines and a marker of visceral adiposity. We investigated the relation between EAT characteristics and outcomes in COVID-19 patients.

Methods And Results: This post-hoc analysis of a large prospective investigation included all adult patients (≥18 years) admitted to San Raffaele University Hospital in Milan, Italy, from February 25th to April 19th, 2020 with confirmed SARS-CoV-2 infection who underwent a chest computed tomography (CT) scan for COVID-19 pneumonia and had anthropometric data available for analyses. EAT volume and attenuation (EAT-At, a marker of EAT inflammation) were measured on CT scan. Primary outcome was critical illness, defined as admission to intensive care unit (ICU), invasive ventilation or death. Cox regression and regression tree analyses were used to assess the relationship between clinical variables, EAT characteristics and critical illness. One-hundred and ninety-two patients were included (median [25th-75th percentile] age 60 years [53-70], 76% men). Co-morbidities included overweight/obesity (70%), arterial hypertension (40%), and diabetes (16%). At multivariable Cox regression analysis, EAT-At (HR 1.12 [1.04-1.21]) independently predicted critical illness, while increasing PaO/FiO was protective (HR 0.996 [95% CI 0.993; 1.00]). CRP, plasma glucose on admission, EAT-At and PaO/FiO identified five risk groups that significantly differed with respect to time to death or admission to ICU (log-rank p < 0.0001).

Conclusion: Increased EAT attenuation, a marker of EAT inflammation, but not obesity or EAT volume, predicts critical COVID-19.

Trial Registration: NCT04318366.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091800PMC
http://dx.doi.org/10.1016/j.numecd.2021.04.020DOI Listing

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