Derivation of a Coronary Age Calculator Using Traditional Risk Factors and Coronary Artery Calcium: The Multi-Ethnic

Michael J Blaha1, Isaac N Naazie1, Miguel Cainzos-Achirica1

  • 1Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease Baltimore MD.

Insights

Coronary age, a new tool, translates coronary heart disease (CHD) risk into an understandable age equivalent. This method, based on the Multi-Ethnic Study of Atherosclerosis (MESA) risk score, aids patient communication.

Area of Science:

  • Cardiovascular Medicine
  • Preventive Cardiology
  • Health Communication

Background:

  • Effective communication of coronary heart disease (CHD) risk to patients remains a challenge.
  • The concept of
  • coronary age
  • emerges as a promising approach for enhanced risk understanding.
  • This study builds upon the validated Multi-Ethnic Study of Atherosclerosis (MESA) 10-year CHD Risk Score equations.

Purpose of the Study:

  • To define and validate
  • coronary age
  • as a novel metric for communicating individual CHD risk.
  • To compare the risk discrimination of coronary age against chronological age, MESA CHD Risk Score, and coronary artery calcium (CAC) alone.

Main Methods:

  • Calculated MESA 10-year CHD risk for individuals.
  • Derived coronary age by equating individual risk to the risk of an average MESA participant at a given age.
  • Assessed risk discrimination using comparative analyses.

Main Results:

  • Coronary age values typically ranged ±30 years around chronological age.
  • Coronary age, particularly when incorporating CAC, showed a more pronounced age difference between individuals with and without CHD events compared to chronological age.
  • Coronary age with CAC demonstrated predictive performance equivalent to the MESA CHD Risk Score, surpassing chronological age and CAC alone.

Conclusions:

  • The newly developed coronary age is an effective transformation of the MESA CHD Risk Score, maintaining strong risk discrimination.
  • This easily communicable tool has the potential to improve risk communication between clinicians and patients in routine practice.

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