Literature DB >> 23990179

Prognostic value of ACE I/D, AT1R A1166C, PAI-I 4G/5G and GPIIIa a1/a2 polymorphisms in myocardial infarction.

Efrén Martínez-Quintana1, Ricardo Chirino, Vicente Nieto-Lago, Patricia Pérez-Jiménez, Laura López-Ríos, Fayna Rodríguez-González.   

Abstract

BACKGROUND: Coronary artery disease (CAD) has turned into a prevalent cause of morbi-mortality contributing some polymorphisms in the recurrence of major adverse cardiac events (MACE).
METHODS: Three hundred and fifty six patients with first myocardial infarction (MI) were followed up during a 60-month period to find out if ACE I/D, AT1R A1166C, PAI-I 4G/5G and GPIIIa a1/a2 polymorphisms, in combination with other classical cardiovascular risk factors, can contribute to the relapse of MACE.
RESULTS: Two hundred and eighty five (80.1%) men and 71 (19.9%) women were followed up after first MI. The primary clinical endpoint, a composite of MACE, was reached in 106 (29.8%) patients. In the Cox univariate survival analysis those risk factors influencing a poorer prognosis were age (p = 0.004), a positive family history of CAD (p = 0.007), diabetes (p = 0.004), smoking (p = 0.024), fibrinolytic therapy (p = 0.012) and having 2 or 3 vessels CAD (p = 0.046). Cox proportional hazards regression model showed that patients with the DD genotype had a 1.5 increased risk of having an unfavorable outcome when compared with No-DD genotype patients (RR 1.561, 95% CI 1.048-2.326, p = 0.028) and that patients with the ACE DD genotype plus the AT1R No-AA genotype, the GPIIIa No-a1a1 genotype or a combination of both, had a twice higher risk than any other genotype of MACE in the follow-up (RR 1.978, 95% CI 1.286-3.043, p = 0.002).
CONCLUSIONS: Patients with the ACE DD genotype plus 1 or 2 unfavorable genotypes, the AT1R No-AA, the GPIIIa No-a1a1 or a combination of both, have twice higher the risk of MACE during their clinical follow-up.

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Year:  2013        PMID: 23990179     DOI: 10.5603/CJ.a2013.0107

Source DB:  PubMed          Journal:  Cardiol J        ISSN: 1898-018X            Impact factor:   2.737


  1 in total

1.  Integrative computational and experimental approaches to establish a post-myocardial infarction knowledge map.

Authors:  Nguyen T Nguyen; Xiaolin Zhang; Cathy Wu; Richard A Lange; Robert J Chilton; Merry L Lindsey; Yu-Fang Jin
Journal:  PLoS Comput Biol       Date:  2014-03-20       Impact factor: 4.475

  1 in total

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