ArticleThe international journal of cardiovascular imaging2021
Coronary artery calcification and epicardial adipose tissue as independent predictors of mortality in COVID-19.
Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Systematic review and meta-analysis on coronary calcifications in COVID-19.Emergency radiology · 2022Pooled 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: Coronary Artery Calcium Score and COVID-19 Prognosis.Medical sciences (Basel, Switzerland) · 2022Pooled it
- Inverse association of insulin-like growth factor binding protein 1 with epicardial and intrathoracic adiposity in older adults: The Longenity study.Diabetes research and clinical practice · 2026Article
- Epicardial adipose tissue in patients with and without COVID-19 infection.American heart journal plus : cardiology research and practice · 2025Article
- Phenotypic switch of vascular smooth muscle cells in COVID-19: Role of cholesterol, calcium, and phosphate.Journal of cellular physiology · 2024Review
- Prognostic Value of Coronary Artery Calcification in Patients with COVID-19 and Interstitial Pneumonia: A Case-Control Study.Journal of cardiovascular development and disease · 2024Article
- Correlation between coronary artery calcification and COVID-19.Caspian journal of internal medicine · 2024Article
- Coronary Calcium Predicts All-Cause Mortality in Suspected Acute Aortic Syndrome.Radiology. Cardiothoracic imaging · 2023Article
- The role of epicardial adipose tissue dysfunction in cardiovascular diseases: an overview of pathophysiology, evaluation, and management.Frontiers in endocrinology · 2023Review
- Role of the coronary and non-coronary cardiovascular findings on non-cardiac gated thoracic CT in predicting mortality in SARS-CoV-2 infection.Clinical imaging · 2022Article
- Impact of the "atherosclerotic pabulum" on in-hospital mortality for SARS-CoV-2 infection. Is calcium score able to identify at-risk patients?Clinical cardiology · 2022Article
- Visual Coronary and Aortic Calcium Scoring on Chest Computed Tomography Predict Mortality in Patients With Low-Density Lipoprotein-Cholesterol ≥190 mg/dL.Circulation. Cardiovascular imaging · 2022Article
- Article
- The impact of Corona virus disease - 2019 on coronary atherosclerosis: Rationale and design of the COrona VIrus Disease-2019 computed tomography (COVID-CT) registry.Progress in cardiovascular diseasesObservational
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Recent epidemiological studies have demonstrated that common cardiovascular risk factors are strongly associated with adverse outcomes in COVID-19. Coronary artery calcium (CAC) and epicardial fat (EAT) have shown to outperform traditional risk factors in predicting cardiovascular events in the general population. We aim to determine if CAC and EAT determined by Computed Tomographic (CT) scanning can predict all-cause mortality in patients admitted with COVID-19 disease. We performed a retrospective, post-hoc analysis of all patients admitted to Montefiore Medical Center with a confirmed COVID-19 diagnosis from March 1st, 2020 to May 2nd, 2020 who had a non-contrast CT of the chest within 5 years prior to admission. We determined ordinal CAC scores and quantified the epicardial (EAT) and thoracic (TAT) fat volume and examined their relationship with inpatient mortality. A total of 493 patients were analyzed. There were 197 deaths (39.95%). Patients who died during the index admission had higher age (72, [64-80] vs 68, [57-76]; p < 0.001), CAC score (3, [0-6] vs 1, [0-4]; p < 0.001) and EAT (107, [70-152] vs 94, [64-129]; p = 0.023). On a competing risk analysis regression model, CAC ≥ 4 and EAT ≥ median (98 ml) were independent predictors of mortality with increased mortality of 63% (p = 0.003) and 43% (p = 0.032), respectively. As a composite, the group with a combination of CAC ≥ 4 and EAT ≥ 98 ml had the highest mortality. CAC and EAT measured from chest CT are strong independent predictors of inpatient mortality from COVID-19 in this high-risk cohort.
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