Anemia prognostic value in predicting recurrent acute myocardial infarction

Autor: T. Yu. Kaluyta, V. P. Tokarev, R. N. Karimov, Yu. G. Schwartz
Jazyk: ruština
Rok vydání: 2006
Předmět:
Zdroj: Российский кардиологический журнал, Vol 0, Iss 1, Pp 58-62 (2006)
Druh dokumentu: article
ISSN: 1560-4071
2618-7620
Popis: The aim of the study was to determine whether anemia is an independent predictor for recurrent myocardial infarction (MI), and to interpret the results obtained, using multiple statistics method - correlation analysis. In total, 171 patients (mean age 64, 2 ± 10 years) with acute MI were examined. All participants received thrombolytic therapy. Patients with bleeding in anamnesis or sever comorbidities were excluded from the study. Red blood cell and hemoglobin levels in capillary blood were measured at admission. The following parameters were registered: elderly age, heart failure class by Killip, coronary anamnesis duration, MI, stroke, diabetes mellitus, arterial hypertension, atrial fibrillation in anamnesis, left ventricular hypertrophy and dilatation at echocardiography. Mean follow-up period lasted for 21 days; post-MI angina and recurrent MI were registered. In multiple analysis, logistic regression and correlation analysis were performed. Post-MI angina without progression into recurrent MI was observed in 62 patients. Recurrent MI was registered in 19 participants; in this group, anemia was observed more often (47, 4 %) than in individuals without recurrent angina or MI(25 %; p = 0, 002). According to univariate analysis and logistic regression results, there was no significant correlation between anemic syndrome and post-MI angina. Anemia was an independent predictor of recurrent MI (p = 0, 03; odds ratio 3, 11; 95 % CI 1, 07-9, 0). Anemia prognostic role was confirmed by correlation analysis: patients with post-MI angina and recurrent MI substantially differed from each other, as well as from other patients, by baseline characteristics. Therefore, anemic syndrome could be regarded as an independent predictor of recurrent MI. Correlation analysis is effective in assessing multiple information on acute MI patients.
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