Coronary artery calcification as an incremental predictive risk: Research perspectives in primary prevention

Alberto Cereda1, Antonio G Franchina1, Lorenzo Tua1

  • 1Cardiovascular Department, ASST Santi Paolo e Carlo, Milan, Italy.

Journal of Cardiology
|January 7, 2025
PubMed

Insights

Coronary artery calcium (CAC) scoring from CT scans can refine cardiovascular trial design. Incorporating CAC scores may reduce trial sizes and identify effective primary prevention treatments for high-risk individuals.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomarker Research

Background:

  • Coronary artery calcium (CAC) scoring is an underutilized biomarker from non-cardiac CT scans.
  • CAC represents subclinical atherosclerosis, a key factor in cardiovascular disease.
  • Existing risk scores can be enhanced with CAC data.

Purpose of the Study:

  • To evaluate the impact of incorporating varying Coronary Artery Calcium (CAC) scores into cardiovascular risk assessment.
  • To determine how CAC scoring influences the design and sample size requirements for cardiovascular prevention trials.
  • To explore the potential of CAC in identifying suitable candidates for novel primary prevention therapies.

Main Methods:

  • Development of a simulation model using the Multi-Ethnic Study of Atherosclerosis (MESA) coronary artery risk score.
  • Integration of diverse CAC score values into the MESA model.
  • Utilizing population data from the Fourier Trial for model validation.

Main Results:

  • Coronary artery calcium (CAC) scores significantly modulate the required sample sizes for cardiovascular prevention trials.
  • Inclusion of CAC scores can optimize trial efficiency in both primary and secondary prevention studies.
  • High-risk individuals identified by CAC may benefit from targeted primary prevention treatments.

Conclusions:

  • CAC scoring is a valuable tool for enhancing cardiovascular risk stratification.
  • CAC assessment can lead to more efficient and targeted cardiovascular clinical trials.
  • The integration of CAC into risk models offers a pathway to improved primary prevention strategies.

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