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[The role of genetic factors in the prediction of myocardial infarction complications within one year follow up].

Authors :
Makeeva OA
Zykov MV
Golubenko MV
Kashtalap VV
Kuslish EV
Goncharova IA
Barbarash OL
Puzyrev VP
Source :
Kardiologiia [Kardiologiia] 2013; Vol. 53 (10), pp. 16-23.
Publication Year :
2013

Abstract

A sample of 165 patients with myocardial infarction (MI) with ST segment elevation has been studied to construct a prediction model for one-year period complications (recurrent nonfatal IM or cardiac death). Polymorphic genetic markers (n = 32) with confirmed role in pathogenesis of cardiovascular disease were analyzed. The best model to stratify patients by risk of post-IM complications included variants rs4291 (A-240T) in the ACE gene, rs6025 (G1691A, Leiden mutation) in the F5, and rs5918 (Leu59Pro) in the IGTB3. C statistics for the genetic model was 0.75 (0.64; 0.86), p = 0.001, which is comparable with characteristics of the GRACE scale for the same patients' population: 0.73 (0.61; 0.85). Thereby, analysis of a limited number of genetic markers was sufficient to create risk prediction model for post-MI complications with comparable effectiveness to the model, which is currently in use in clinical practice. To confirm the clinical validity, the predictive model obtained in the study should be evaluated in independent samples of MI patients. Association analysis of individual genetic markers with patients' outcomes has revealed that T allele carrier status (AT and TT genotypes) rs4291 of the ACE and CG genotype rs328 of the LPL gene are risk factors for cardiac death during one year after MI; Leiden mutation (rs6025) of the F5 gene is related to the higher risk of recurrent non-fatal MI or death during one year; CC genotype of the rs10811661, located in 9p21 locus has a protective effect against recurrent MI or death within one year after acute event.

Details

Language :
Russian
ISSN :
0022-9040
Volume :
53
Issue :
10
Database :
MEDLINE
Journal :
Kardiologiia
Publication Type :
Academic Journal
Accession number :
24645551