Validating the Prognostic Utility of the ABCD-GENE Score in Asian Patients with Acute Coronary Syndrome Patients on

Cheng Keat Tan1, David Bin-Chia Wu2, Seh Yi Joseph Tan3

  • 1School of Applied Science, Nanyang Polytechnic Singapore.

European Cardiology
|November 29, 2023
PubMed

Insights

The ABCD-GENE score moderately predicts major adverse cardiovascular events (MACE) in Asian acute coronary syndrome (ACS) patients. A 10-point cut-off is useful for MACE risk, but not for predicting high platelet reactivity (HPR).

Area of Science:

  • Cardiology
  • Pharmacogenomics
  • Clinical Risk Stratification

Background:

  • The ABCD-GENE score predicts cardiovascular events in clopidogrel users based on CYP2C19 phenotype and high platelet reactivity (HPR).
  • Previous validation of the ABCD-GENE score was limited to white and Japanese populations.
  • Prognostic utility in diverse Asian cohorts remained largely uncharacterized.

Purpose of the Study:

  • To validate the prognostic performance of the ABCD-GENE score in a heterogeneous Asian population with acute coronary syndrome (ACS).
  • To identify optimal cut-off points for predicting major adverse cardiovascular events (MACE) and HPR in this cohort.

Main Methods:

  • Retrospective cohort study of 423 ACS patients.
  • Cox regression analysis to assess the 1-year MACE risk associated with different ABCD-GENE score cut-offs.
  • Receiver operating characteristic (ROC) analysis and Youden's index to determine the best cut-off for predicting HPR.

Main Results:

  • An ABCD-GENE score cut-off of 10 points significantly predicted the 1-year risk of MACE (adjusted HR 3.771).
  • Female sex, baseline LDL, prior ACS, and ARB use were additional independent MACE predictors.
  • An ABCD-GENE score cut-off of 7 points was optimal for HPR prediction but did not independently predict MACE.

Conclusions:

  • The ABCD-GENE score's 10-point cut-off moderately predicts 1-year MACE in a heterogeneous Asian ACS population.
  • Additional independent predictors of MACE were identified in this cohort.
  • Prospective validation in larger ACS cohorts is recommended.
Abstract