Implementation and evaluation of a CYP2C19 genotype-guided antiplatelet therapy algorithm in high-risk coronary artery disease patients

Pharmacogenomics. 2015;16(4):303-13. doi: 10.2217/pgs.14.180.

Abstract

Aim: An algorithm that uses clinical factors and CYP2C19 genotype to guide P2Y12 inhibitor selection in high-risk patients undergoing percutaneous coronary intervention was implemented at our institution. We sought to evaluate use of this algorithm and identify which factors influenced P2Y12 inhibitor selection.

Patients & methods: This retrospective cohort study included 264 patients receiving percutaneous coronary intervention from July-December 2012.

Results: CYP2C19 genotype was obtained in 229 patients; of these, 30% were intermediate or poor metabolizers. CYP2C19 intermediate or poor metabolizer phenotype was among the strongest predictors for selecting prasugrel or ticagrelor as maintenance therapy (p < 0.001), and was the only significant predictor of a change in therapy (p < 0.001).

Conclusion: These findings suggest that using CYP2C19 genotype to guide P2Y12 inhibitor selection is feasible. Original submitted 27 October 2014; revision submitted 19 December 2014.

Keywords: clopidogrel; pharmacogenomics; prasugrel; stent; ticagrelor.

MeSH terms

  • Aged
  • Coronary Artery Disease / drug therapy*
  • Coronary Artery Disease / genetics*
  • Coronary Artery Disease / pathology
  • Cytochrome P-450 CYP2C19 / genetics*
  • Female
  • Genotype
  • Humans
  • Inactivation, Metabolic / genetics
  • Male
  • Middle Aged
  • Phenotype
  • Platelet Aggregation Inhibitors / administration & dosage*
  • Receptors, Purinergic P2Y12 / genetics

Substances

  • P2RY12 protein, human
  • Platelet Aggregation Inhibitors
  • Receptors, Purinergic P2Y12
  • Cytochrome P-450 CYP2C19