Literature DB >> 21778720

The value of combining CYP2C19*2 polymorphism with classic risk factors in prediction of clinical prognosis in acute coronary syndrome patients.

Shao-Di Yan1, Mao Chen, Qiao Li, Xiao-Jing Liu, Yong Peng, Hua Chai, Yuan-Ning Xu, Jia-Fu Wei, De-Jia Huang.   

Abstract

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 1.62-14.56, 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 © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21778720     DOI: 10.1159/000329048

Source DB:  PubMed          Journal:  Cardiology        ISSN: 0008-6312            Impact factor:   1.869


  1 in total

Review 1.  Cytochrome allelic variants and clopidogrel metabolism in cardiovascular diseases therapy.

Authors:  Mohammed Jarrar; Shalini Behl; Ganiraju Manyam; Hany Ganah; Mohammed Nazir; Reem Nasab; Khaled Moustafa
Journal:  Mol Biol Rep       Date:  2016-04-12       Impact factor: 2.316

  1 in total

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