[Biohemorheologic factors and cardiovascular events curve in survivors of transmural acute myocardial infarct--24-month follow-up]. / Factores biohemorreológicos e a curva de eventos cardiovasculares em sobreviventes de enfarte agudo do miocárdio transmural--24 meses de seguimento clínico.

INTRODUCTION: Previous reports have shown several biohemorheological disturbances in acute myocardial infarction (AMI), either in the acute phase and after hospital discharge. There is no clearly established relationship between these parameters and the patients' clinical outcome. OBJECTIVE: To evaluate in transmural AMI survivors, a relationship between biohemorheological parameters and the cardiovascular events curve during a 24 month follow-up period. METHODS: Sixty-four consecutive patients (58.0 +/- 12.0, 59 men), transmural AMI survivors (30 anterior and 34 inferior) were included in the study. Clinical follow-up was 24 months (at 6, 12 and 24 months). The following cardiovascular events (CVE) were collected: cardiovascular death, stroke, AMI, unstable angina, embolism. We determined, at hospital discharge, these biohemorheological parameters: plasma viscosity, fibrinogen, PAI-1 inhibitor, leukocyte count, C protein (C Pt), erythrocyte aggregation (EA). For each parameter we determined the 25, 50 and 75 percentiles and other significant cut-off point, grouping patients according to these values. STATISTICS: Group t test, Kaplan-Meier survival curve (with the log rank test), and Cox logistic regression. RESULTS: (1) Patients with CVE (n = 19) during the 24 months of clinical follow-up had at hospital discharge higher leukocyte count (p < 0.001), lower C Pt (p < 0.01) and lower EA (p < 0.05). (2) The higher the percentile of the leukocyte count higher the probability for a CVE. Patients with leukocyte count above the 50 percentile had 6 times more CVE (p < 0.01); (3) The higher the C Pt lower the risk for a CVE. Patients with C PT lower than the 50 percentile had 9 times more risk for a CVE (p < 0.01), and those above the 75 percentile had no CVE (p < 0.01). (4) For the EA we identified a cutoff point (= 14.5), independent of the percentiles values. Patients with EA below 14.5 had six times more CVE. By multivariate analyses, we identified leukocyte count and C Pt as independent risk predictive factors (p < 0.05). CONCLUSION: In this group of transmural MI survivors a relationship was established between some biohemorheological (leukocyte count, C Pt, EA) and the CVE curve during 24 months of clinical follow-up.

Long-term prognostic value of the hemorheological profile in transmural myocardial infarction survivors: 60-month clinical follow-up.

UNLABELLED: Previous reports have shown several hemorheological and hemostatic abnormalities in acute coronary syndrome survivors. Some of these abnormalities were related to cardiovascular events during a 24-month follow-up. The aim of the present work is to evaluate, in transmural myocardial infarction survivors, the long-term (60 months) prognostic value of the biohemorheological profile determined at hospital discharge. Sixty-four patients (59 men), mean age of 58 +/- 12.0 years, transmural myocardial infarction survivors, were prospectively studied for 60 months (32.0 +/- 17 months, median 33 months). The following cardiovascular events (CVE) were analyzed: death, non-fatal infarction, unstable angina, and stroke. Twenty-nine patients had a CVE (nine died). The following parameters were determined at hospital discharge: plasma viscosity, whole blood viscosity, erythrocyte membrane fluidity, erythrocyte aggregation, protein C, plasminogen inhibitor type I (PAI-1), leukocyte count and elastase. The quartiles were determined for each parameter, grouping patients according to these values. STATISTICS: Group-t-test, Kaplan-Meier survival curve (with log rank test), and Cox logistic regression. RESULTS: 1) Leukocyte count (p < 0.01), protein C activity (p < 0.05) and erythrocyte membrane fluidity (p < 0.05) were predictors of the CVE curve; 2) The higher the value of the leukocyte count quartile, the higher the risk for a CVE (p < 0.05). Patients with a leukocyte count above the median had 4 times more risk for a CVE; 3) The lower the protein C activity, the higher the risk for a CVE. Those with protein C activity lower than the lowest quartile had double the risk; 4) The higher the membrane polarization value (membrane rigidity), the higher the risk of a CVE; 5) By multivariate analysis the 3 parameters were independent predictors of a CVE. CONCLUSION: In the present group of transmural myocardial infarction survivors a close relationship was established between hemorheologic, hemostatic and inflammatory factors and the cardiovascular events curve during long-term follow-up.