ArticleAmerican journal of preventive cardiology2026
Deep learning-derived pericardial adipose tissue by electrocardiogram-gated cardiac computed tomography predicts cardiovascular events beyond coronary calcium score.
Article in American journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Visceral adiposity and cardiovascular risk in the era of cardiovascular-kidney-metabolic syndrome.American journal of preventive cardiology · 2026Article
- The future of CV prevention science depends on how we communicate: why simultaneous publication matters.American journal of preventive cardiology · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
Background: Pericardial adipose tissue (PAT) is an emerging imaging biomarker of cardiovascular disease (CVD) risk. We evaluated whether PAT volume improves prediction of cardiovascular events beyond Coronary Artery Calcium (CAC) score and the AHA Predicting Risk of Cardiovascular Disease Events (PREVENT™) equation. Methods: We analyzed data of 11,897 Olmsted County, MN, residents without known history of heart failure and atherosclerotic cardiovascular disease (ASCVD) events who underwent non-contrast, ECG-gated CAC scans. PAT volume (cm Results: Over a median of 16.4 years, 9.6% experienced total CVD events. Kaplan-Meier curves demonstrated progressively lower CVD-free survival across PAT and CAC groups (p < 0.001). PAT volume stratified risk across CAC categories, with higher volume conferring incremental risk even at low CAC (HR = 1.24, 95% CI:1.05-1.48), and enhanced risk stratification within borderline and intermediate PREVENT™ categories. Conclusion: PAT volume provides prognostic value for total CVD events beyond PREVENT™ and CAC scoring.
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