ArticleMetabolism: clinical and experimental2021
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.
Article in Metabolism: clinical and experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Global prevalence and effect of comorbidities and smoking status on severity and mortality of COVID-19 in association with age and gender: a systematic review, meta-analysis and meta-regression.Scientific reports · 2023Pooled it
- Association of epicardial adipose tissue with the severity and adverse clinical outcomes of COVID-19: A meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Pooled it
- A meta-analysis on the risk factors adjusted association between cardiovascular disease and COVID-19 severity.BMC public health · 2021Pooled it
- Epicardial adipose tissue volume outperforms density in association with cardiorenal complications in hypertensive patients.Lipids in health and disease · 2026Article
- Ejection fraction quantification from ungated chest CT by AI.medRxiv : the preprint server for health sciences · 2025Article
- Epicardial Adipose Tissue: A Multimodal Imaging Diagnostic Perspective.Medicina (Kaunas, Lithuania) · 2025Review
- Incidence of secondary pericardial effusions associated with different etiologies: a comprehensive review of literature.Journal of cardiothoracic surgery · 2025Review
- Erector Spinae Muscle to Epicardial Visceral Fat Ratio on Chest CT Predicts the Severity of Coronavirus Disease 2019.Journal of cachexia, sarcopenia and muscle · 2025Article
- Epicardial adipose tissue volume highly correlates with left ventricular diastolic dysfunction in endogenous Cushing's syndrome.Annals of medicine · 2024Article
- Epicardial Adipose Tissue: a Potential Therapeutic Target for Cardiovascular Diseases.Journal of cardiovascular translational research · 2024Review
- AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging.NPJ digital medicine · 2024Article
- Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.The British journal of radiology · 2023Article
- Exploring the Network between Adipocytokines and Inflammatory Response in SARS-CoV-2 Infection: A Scoping Review.Nutrients · 2023Article
- The role of epicardial adipose tissue dysfunction in cardiovascular diseases: an overview of pathophysiology, evaluation, and management.Frontiers in endocrinology · 2023Review
- Is There a Relationship Between Epicardial Adipose Tissue, Inflammatory Markers, and the Severity of COVID-19 Pneumonia?Sisli Etfal Hastanesi tip bulteni · 2023Article
- Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity.Scientific reports · 2022Article
- Epicardial adipose tissue in contemporary cardiology.Nature reviews. Cardiology · 2022 · on this mapReview
- Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Cut-off point of CT-assessed epicardial adipose tissue volume for predicting worse clinical burden of SARS-CoV-2 pneumonia.Emergency radiology · 2022Article
- Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence.Emergency radiology · 2022Review
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Authors and funding
21 authors at 8 institutions in 4 countries.
Funding
Abstract
aimWe sought to examine the association of epicardial adipose tissue (EAT) quantified on chest computed tomography (CT) with the extent of pneumonia and adverse outcomes in patients with coronavirus disease 2019 (COVID-19).
methodsWe performed a post-hoc analysis of a prospective international registry comprising 109 consecutive patients (age 64 ± 16 years; 62% male) with laboratory-confirmed COVID-19 and noncontrast chest CT imaging. Using semi-automated software, we quantified the burden (%) of lung abnormalities associated with COVID-19 pneumonia. EAT volume (mL) and attenuation (Hounsfield units) were measured using deep learning software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death.
resultsIn multivariable linear regression analysis adjusted for patient comorbidities, the total burden of COVID-19 pneumonia was associated with EAT volume (β = 10.6, p = 0.005) and EAT attenuation (β = 5.2, p = 0.004). EAT volume correlated with serum levels of lactate dehydrogenase (r = 0.361, p = 0.001) and C-reactive protein (r = 0.450, p < 0.001). Clinical deterioration or death occurred in 23 (21.1%) patients at a median of 3 days (IQR 1-13 days) following the chest CT. In multivariable logistic regression analysis, EAT volume (OR 5.1 [95% CI 1.8-14.1] per doubling p = 0.011) and EAT attenuation (OR 3.4 [95% CI 1.5-7.5] per 5 Hounsfield unit increase, p = 0.003) were independent predictors of clinical deterioration or death, as was total pneumonia burden (OR 2.5, 95% CI 1.4-4.6, p = 0.002), chronic lung disease (OR 1.3 [95% CI 1.1-1.7], p = 0.011), and history of heart failure (OR 3.5 [95% 1.1-8.2], p = 0.037).
conclusionsEAT measures quantified from chest CT are independently associated with extent of pneumonia and adverse outcomes in patients with COVID-19, lending support to their use in clinical risk stratification.
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