European Cardiology Review (Oct 2023)

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

  • Cheng Keat Tan,
  • David Bin-Chia Wu,
  • Seh Yi Joseph Tan,
  • Syed Saqib Imran,
  • Xue Ting Wee,
  • Su-Yin Doreen Tan

DOI
https://doi.org/10.15420/ecr.2023.27
Journal volume & issue
Vol. 18

Abstract

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Background: The ABCD-GENE score, which links cytochrome P450 2C19 (CYP2C19) phenotype and high platelet reactivity (HPR) to the risk of major adverse cardiovascular events (MACE) in clopidogrel users, has been validated in white and Japanese populations. The prognostic implications of the score in other Asian cohorts, however, have been largely unchartered. The aim of this study was to validate the prognostic utility of the ABCD-GENE score in a heterogeneous Asian acute coronary syndrome (ACS) cohort. Methods and Results: In this single-centre, retrospective cohort evaluation of 423 ACS patients, the objectives were to characterise the best cut-off score for MACE prognostication by comparing the adjusted 1-year risk of MACE between groups above and below the candidate cut-off scores using Cox regression; and for on-clopidogrel HPR prediction using receiver operating characteristic (ROC) analysis and Youden’s index. In the adjusted Cox model, an ABCD-GENE score cut-off at 10 points significantly predicts the 1-year risk of MACE (adjusted HR 3.771; 95% CI [1.041–13.661]). Female sex, baseline LDL, history of ACS and angiotensin receptor blocker use were additional independent predictors of MACE. On ROC analysis the ideal cut-off for HPR prediction was 7 points. However, that did not independently predict the 1-year risk of MACE (adjusted HR 1.595; 95% CI [0.425–5.989]). Conclusion: The original ABCD-GENE score 10-point cut-off moderately predicts MACE in a heterogeneous, Asian ACS population at 1 year. Additional predictors of MACE were also identified in the present cohort, and these findings should be prospectively validated in larger ACS cohorts.