Observational studyJournal of the American Heart Association2021
Derivation of a Coronary Age Calculator Using Traditional Risk Factors and Coronary Artery Calcium: The Multi-Ethnic Study of Atherosclerosis.
Observational study in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Implementation of the PREVENT equations: The science and art of risk communication.American journal of preventive cardiology · 2026Article
- Plasma proteomics and coronary artery calcium score: synergistic, concordant and contrasting predictions of cardiovascular outcomes in The Multi-Ethnic Study of Atherosclerosis.medRxiv : the preprint server for health sciences · 2026Article
- Biological Cardiovascular Age Derived from Coronary CTA Reports Using a Large Language Model: A Novel Predictor of Major Adverse Cardiovascular Events?Diagnostics (Basel, Switzerland) · 2026Article
- Opportunistic Screening on Chest CT, From theAJR. American journal of roentgenology · 2026Review
- Derivation and validation of a widely accessible cardiovascular risk prediction model and derived heart age for the general UK and US populations.American journal of preventive cardiology · 2026Article
- How to measure and model cardiovascular aging.Cardiovascular research · 2025Review
- Multidimensional Radiological Assessment of Delirium in the Emergency Department.Healthcare (Basel, Switzerland) · 2025Article
- Review
- Article
- 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2025Review
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Personalizing Cardiovascular Disease Risk Assessment: Is it Time to Forget About Chronologic Age?JACC. Asia · 2023Article
- Cardiovascular Risk Assessment Among Adolescents and Youths Living With HIV: Evaluation of Electronic Health Record Findings and Implications.Interactive journal of medical research · 2023Article
- Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association.Circulation · 2023Review
- Computational clustering reveals differentiated coronary artery calcium progression at prevalent levels of pulse wave velocity by classifying high-risk patients.Frontiers in cardiovascular medicine · 2023Article
- Characteristic analysis of clinical coronary heart disease and coronary artery disease concerning young and middle-aged male patients.World journal of clinical cases · 2021Article
- Derivation of a Coronary Age Calculator Using Traditional Risk Factors and Coronary Artery Calcium: The Multi-Ethnic Study of Atherosclerosis.Journal of the American Heart Association · 2021Observational
- An Update on Coronary Artery Calcium Interpretation at Chest and Cardiac CT.Radiology. Cardiothoracic imaging · 2021Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Background The optimal method for communicating coronary heart disease (CHD) risk to individual patients is not yet clear. Recent research supports the concept of "coronary age" for more effective risk communication. We defined an individual's coronary age as the age at which an average healthy individual would have an equivalent estimated CHD risk as that calculated for the index individual, building on our previously validated MESA (Multi-Ethnic Study of Atherosclerosis) 10-year CHD Risk Score equations with and without coronary artery calcium (CAC). Methods and Results We derived a coronary age by (1) calculating the MESA 10-year CHD risk; (2) mathematically setting this equal to an equation describing risk of an average healthy MESA participant, as a function of age; and (3) solving for age. The risk discrimination of the resultant coronary age was compared with that of chronological age, the MESA CHD Risk Score, and CAC alone. Approximately 95% of coronary age values ranged from 30 years less to 30 years higher than chronological age. Although the mean chronological age of individuals experiencing CHD events compared with those free of events was 67.4 versus 61.8 years, the difference in coronary age including CAC was larger (80.6 versus 62.8 years). Coronary age with CAC had identical predictive ability to that of MESA CHD Risk Score and outperformed chronological age and CAC alone. Conclusions The newly derived coronary age is a convenient transformation of MESA CHD Risk, retaining very good risk discrimination. This easy-to-communicate tool will be available for patients and clinicians, potentially facilitating risk communication in routine care.
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