ArticleJournal of cardiovascular computed tomography
Cardiac computed tomography imaging biomarkers for prediction of new-onset heart failure: Multi-ethnic study of atherosclerosis.
Article in Journal of cardiovascular computed tomography. 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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Who cites it
2 citing papers in PubMed.
- Comparing incidence of heart failure in individuals with enlarged cardiac chambers versus diabetes.American journal of preventive cardiology · 2026Article
- AI-CVD-HF: A heart failure risk prediction model based on coronary artery calcium scans compared with PREVENT-HF.American journal of preventive cardiology · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundHeart failure (HF) is associated with a large socioeconomic burden. The growth of cardiac computed tomography (CT) has allowed for investigation of new applications in predicting risk of cardiovascular disease.
objectiveTo determine if cardiac CT imaging biomarkers could predict new-onset HF and improve discrimination in a current HF prediction model.
methodsParticipants of the Multi-Ethnic Study of Atherosclerosis (MESA) were included to evaluate new-onset HF during a median follow-up period of 17.7 years. Cardiac CT imaging biomarkers measured include left ventricular size indexed (LVSi) and calcification of the coronary arteries (CAC), aortic valve (AVC), mitral annulus (MAC), and thoracic aorta (TAC). We evaluated if cardiac CT variables improved the 10-year risk prediction of new-onset HF by the Pooled Cohort equations to Prevent HF (PCP-HF) score.
resultsAmong 6,667 MESA participants (52.7 % female), 426 events of new-onset HF occurred. Cox model analysis revealed log transformed CAC (HR 1.11; 95 % CI 1.06-1.16; p < 0.001), log transformed AVC (HR 1.06; 95 % CI 1.01-1.12; p = 0.014), and LVSi (HR 1.17; 95 % CI 1.12-1.21; p < 0.001) were significantly associated with new-onset HF. Area under the curve (AUC) discrimination of new-onset HF by the PCP-HF score was improved with incorporation of cardiac CT imaging biomarkers.
conclusionCardiac CT imaging biomarkers provide anatomic risk factors that improve the prediction of new-onset HF. Coronary and valvular calcifications may signal comorbidities associated with HF. LVSi may reflect left ventricular remodeling associated with HF.
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