Clinical Research
Interventional Cardiology
Impact of Cytochrome P450 2C19 Loss-of-Function Polymorphism and of Major Demographic Characteristics on Residual Platelet Function After Loading and Maintenance Treatment With Clopidogrel in Patients Undergoing Elective Coronary Stent Placement

https://doi.org/10.1016/j.jacc.2010.02.031Get rights and content
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Objectives

The aim of this study was to evaluate the relative impact of demographic and clinical variables versus the cytochrome P450 2C19 (CYP2C19) polymorphism on antiplatelet effects of clopidogrel.

Background

Platelet responses to clopidogrel show a marked interindividual variability with substantial impact on clinical outcome. Several demographic and clinical characteristics as well as a polymorphism of CYP2C19have been described as predictors for a low response to clopidogrel.

Methods

This analysis enrolled 760 patients undergoing elective coronary stent implantation after loading with 600 mg of clopidogrel. Residual platelet aggregation was determined by optical aggregometry (adenosine diphosphate 5 μmol/l) before discharge. We analyzed the predictive value of the CYP2C19*2polymorphism and baseline variables for an insufficient antiplatelet response by multivariable regression analysis and classification and regression trees analysis and determined the proportion responsible for the antiplatelet response of these predictors by multivariable linear regression analysis.

Results

Major independent predictors for an insufficient antiplatelet response to clopidogrel were CYP2C19*2carrier status (odds ratio [OR]: 2.74; 95% confidence interval [CI]: 1.93 to 3.90) together with age (OR: 1.03; 95% CI: 1.01 to 1.05), diabetes mellitus (OR: 1.75; 95% CI: 1.19 to 2.56), and body mass index (OR: 1.06; 95% CI: 1.02 to 1.11). The classification and regression trees analysis demonstrated that CYP2C19*2carrier status followed by diabetes mellitus was the best discriminator between a sufficient and an insufficient antiplatelet response to clopidogrel. The full linear regression model including all these parameters could only explain 11.5% of the antiplatelet response (5.2% by CYP2C19*2carrier status alone).

Conclusions

Thus, our study does not suggest that, in patients critically dependent on adequate platelet inhibition, genotyping alone or in combination with clinical factors can replace phenotyping of platelet function. (Effect of Clopidogrel Loading and Risk of PCI [EXCELSIOR]; NCT00457236).

Key Words

antiplatelet therapy
CYP2C19
platelet function
polymorphism
predictor

Abbreviations and Acronyms

ADP
adenosine diphosphate
BMI
body mass index
CART
classification and regression trees
CYP
cytochrome P450
DNA
deoxyribonucleic acid
MI
myocardial infarction
PCI
percutaneous coronary intervention
RPA
residual platelet aggregation

Cited by (0)

This study was supported by a grant from the Herz-Zentrum, Bad Krozingen. Dr. Hochholzer was supported by the German Heart Foundation.