Comparing the pooled cohort equations and coronary artery calcium scores in a symptomatic mixed Asian cohort

Lohendran Baskaran1,2, Jing Kai Lee2, Michelle Shi Min Ko2

  • 1Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore.

Insights

Pooled cohort equations (PCE) and coronary artery calcium (CAC) scores predict major adverse cardiovascular events (MACE) in symptomatic Asian patients. CAC consistently improved risk prediction across statin use groups, unlike PCE.

Area of Science:

  • Cardiology
  • Preventive Cardiology
  • Medical Imaging

Background:

  • The predictive value of Pooled Cohort Equations (PCE) for major adverse cardiovascular events (MACE) in symptomatic individuals is uncertain.
  • Coronary Artery Calcium (CAC) scoring enhances cardiovascular risk prediction, yet data from non-Western populations are scarce.
  • This study investigates the comparative performance of PCE and CAC in a symptomatic Asian cohort.

Purpose of the Study:

  • To compare the predictive accuracy of PCE and CAC scores for MACE in a symptomatic mixed Asian population.
  • To assess the incremental value of CAC in predicting MACE.
  • To evaluate the performance of PCE and CAC in subgroups stratified by statin use.

Main Methods:

  • A cohort of 501 patients with stable chest pain undergoing cardiac computed tomography was analyzed.
  • Logistic regression models were used to identify predictors of MACE.
  • Comparisons of PCE and Agatston (CAC) scores were performed for the overall cohort and statin-use subgroups.

Main Results:

  • Age, CAC presence, and ln(Volume) were associated with MACE in the general cohort. For the CAC=0 subgroup, age and PCE score were significant predictors.
  • The Agatston score demonstrated superior predictive performance (AUC 0.662) compared to PCE (AUC 0.501).
  • The Agatston score maintained consistent predictive accuracy across statin users and non-users, whereas PCE performance varied significantly between these groups.

Conclusions:

  • In symptomatic Asian patients, age, CAC, and ln(Volume) predict MACE overall; age and PCE predict MACE in the CAC=0 subgroup.
  • CAC scoring provides consistent risk prediction regardless of statin use.
  • CAC assessment is valuable for refining cardiovascular risk prediction in diverse symptomatic populations.
Abstract

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