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

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