INTRODUCTION: Carriers of reduced-function CYP2C19 allele on antiplatelet therapy show diminished platelet inhibition and higher rate of clinical risk. The purpose of this study was to determine cut-off levels of VerifyNow P2Y12 system associated with effective inhibition of on-clopidogrel platelet aggregation to predict carriers of CYP2C19 reduced-function allele among patients undergoing percutaneous coronary intervention (PCI). MATERIALS AND METHODS: We enrolled 202 consecutive patients with stable coronary artery disease (CAD) undergoing PCI and treated with clopidogrel. All patients underwent CYP2C19 genotyping and measurement of residual platelet aggregation by VerifyNow system. RESULTS: Carriers of CYP2C19 reduced-function allele constituted 131 (65%) of 202 CAD patients. Platelet inhibition measured by P2Y12 reaction units (PRU) and %inhibition was diminished in carriers compared with noncarriers (PRU: 290.0±81.2 vs 217.6±82.4, p<0.001, %inhibition: 17.9±17.8 vs 35.5±22.8, p<0.001, respectively). Multiple logistic regression analysis identified PRU and %inhibition as significant predictors of carrier state [odds ratio (OR) 4.95; 95% confidence interval (95%CI): 2.49 to 9.85; p<0.001, OR 5.55; 95%CI: 2.80 to 10.99; p<0.001, respectively]. Receiver-operating characteristic analysis showed that PRU and %inhibition were significant predictors of carrier state [area under the curve (AUC) 0.736 (95%CI: 0.664 to 0.808; p<0.001), AUC 0.727 (95%CI: 0.651 to 0.803; p<0.001), respectively]. The cut-off levels of PRU and %inhibition were 256 and 26.5% for the identification of carriers. CONCLUSIONS: Our results suggested that the cut-off levels of PRU and %inhibition to discriminate carriers of CYP2C19 reduced-function allele from noncarriers are potentially useful clinically to provide optimal clopidogrel therapy in patients with stable CAD undergoing PCI.
INTRODUCTION: Carriers of reduced-function CYP2C19 allele on antiplatelet therapy show diminished platelet inhibition and higher rate of clinical risk. The purpose of this study was to determine cut-off levels of VerifyNow P2Y12 system associated with effective inhibition of on-clopidogrelplatelet aggregation to predict carriers of CYP2C19 reduced-function allele among patients undergoing percutaneous coronary intervention (PCI). MATERIALS AND METHODS: We enrolled 202 consecutive patients with stable coronary artery disease (CAD) undergoing PCI and treated with clopidogrel. All patients underwent CYP2C19 genotyping and measurement of residual platelet aggregation by VerifyNow system. RESULTS: Carriers of CYP2C19 reduced-function allele constituted 131 (65%) of 202 CAD patients. Platelet inhibition measured by P2Y12 reaction units (PRU) and %inhibition was diminished in carriers compared with noncarriers (PRU: 290.0±81.2 vs 217.6±82.4, p<0.001, %inhibition: 17.9±17.8 vs 35.5±22.8, p<0.001, respectively). Multiple logistic regression analysis identified PRU and %inhibition as significant predictors of carrier state [odds ratio (OR) 4.95; 95% confidence interval (95%CI): 2.49 to 9.85; p<0.001, OR 5.55; 95%CI: 2.80 to 10.99; p<0.001, respectively]. Receiver-operating characteristic analysis showed that PRU and %inhibition were significant predictors of carrier state [area under the curve (AUC) 0.736 (95%CI: 0.664 to 0.808; p<0.001), AUC 0.727 (95%CI: 0.651 to 0.803; p<0.001), respectively]. The cut-off levels of PRU and %inhibition were 256 and 26.5% for the identification of carriers. CONCLUSIONS: Our results suggested that the cut-off levels of PRU and %inhibition to discriminate carriers of CYP2C19 reduced-function allele from noncarriers are potentially useful clinically to provide optimal clopidogrel therapy in patients with stable CAD undergoing PCI.
Authors: Naveen L Pereira; Charanjit S Rihal; Derek Y F So; Yves Rosenberg; Ryan J Lennon; Verghese Mathew; Shaun G Goodman; Richard M Weinshilboum; Liewei Wang; Linnea M Baudhuin; Amir Lerman; Ahmed Hasan; Erin Iturriaga; Yi-Ping Fu; Nancy Geller; Kent Bailey; Michael E Farkouh Journal: Circ Cardiovasc Interv Date: 2019-04 Impact factor: 6.546
Authors: Naveen L Pereira; Michael E Farkouh; Derek So; Ryan Lennon; Nancy Geller; Verghese Mathew; Malcolm Bell; Jang-Ho Bae; Myung Ho Jeong; Ivan Chavez; Paul Gordon; J Dawn Abbott; Charles Cagin; Linnea Baudhuin; Yi-Ping Fu; Shaun G Goodman; Ahmed Hasan; Erin Iturriaga; Amir Lerman; Mandeep Sidhu; Jean-Francois Tanguay; Liewei Wang; Richard Weinshilboum; Robert Welsh; Yves Rosenberg; Kent Bailey; Charanjit Rihal Journal: JAMA Date: 2020-08-25 Impact factor: 56.272
Authors: Ruben L Osnabrugge; Stuart J Head; Felix Zijlstra; Jurriën M ten Berg; Myriam G Hunink; A Pieter Kappetein; A Cecile J W Janssens Journal: Genet Med Date: 2014-06-19 Impact factor: 8.822