The Value Of Combining Cyp2c19*2 Polymorphism With Classic Risk Factors In Prediction Of Clinical Prognosis In Acute Coronary Syndrome Patients

Objectives: To assess the impact of different CYP2C19*2 polymorphisms on clinical outcomes and the effects of CYP2C19*2 polymorphism on predicting clinical outcomes in association with classic risk factors in patients with acute coronary syndromes (ACS). Methods: Between July 2008 and September 2009, 497 consecutive patients with ACS who were admitted to the West China Hospital of Sichuan University were enrolled and underwent CYP2C19*2 determination. The clinical outcomes were the composite of cardiovascular death, nonfatal myocardial infarction and nonfatal stroke. Results: Baseline characteristics were balanced between noncarrier, heterozygous and homozygous groups of the CYP2C19*2 variant. The clinical endpoint occurred more frequently in the homozygous group (HR 4.86, CI 1.6214.56, p = 0.005). After multivariable analysis, the CYP2C19*2 genetic variant was an independent predictor of cardiovascular events (HR 5.96, CI 1.77-20.03, p = 0.0039) as well as GRACE score and Killip class. The combination of CYP2C19*2 with GRACE score and Killip class increases the potential to predict adverse outcomes. Conclusions: Homozygosity (A/A) for CYP2C19*2 mutant is an independent determinant of prognosis in patients with ACS. The combination of CYP2C19*2 polymorphism with classic risk factors may be a useful tool to predict the risk of cardiovascular events. Copyright (C) 2011 S. Karger AG, Basel