Arquivos Brasileiros de Cardiologia (May 2013)
Diabetes subdiagnosticado e necrose miocárdica: preditores de hiperglicemia no infarto do miocárdio Unrecognized diabetes and myocardial necrosis: predictors of hyperglycemia in myocardial infarction
Abstract
FUNDAMENTO: Hiperglicemia na fase aguda do infarto do miocárdio é importante fator prognóstico. Entretanto, sua fisiopatologia não está completamente elucidada. OBJETIVO: Analisar simultaneamente correlação entre hiperglicemia e marcadores bioquímicos relacionados ao estresse,metabolismo glicídico e lipídico, coagulação, inflamação e necrose miocárdica. MÉTODOS: Oitenta pacientes com infarto agudo do miocárdio foram incluídos prospectivamente. Os parâmetros analisados foram: glicose, hormônios do estresse (cortisol e norepinefrina), fatores do metabolismo glicídico [hemoglobina glicada (HbA1c), insulina], lipoproteínas (colesterol total, LDL, HDL, LDL eletronegativa minimamente modificada e adiponectina), glicerídeos (triglicérides, VLDL e ácido graxo), fatores da coagulação (fator VII, fibrinogênio,inibidor do ativador do plasminogênio-1), inflamação (proteína C reativa ultrassensível) e necrose miocárdica (CK-MB e troponina). Variáveis contínuas foram convertidas em graus de pertinência por intermédio de lógica fuzzy. RESULTADOS: Houve correlação significativa entre hiperglicemia e metabolismo glicídico (p BACKGROUND: Hyperglycemia in the acute phase of myocardial infarction is an important prognostic factor. However, its pathophysiology is not fully understood. OBJECTIVE: To analyze simultaneously the correlation between hyperglycemia and biochemical markers related to stress, glucose and lipid metabolism, coagulation, inflammation, and myocardial necrosis. METHODS Eighty patients with acute myocardial infarction were prospectively included. The following parameters were analyzed: blood glucose; stress hormones (cortisol and norepinephrine); glucose metabolism factors [glycated hemoglobin (HbA1c); insulin]; lipoproteins (total cholesterol, LDL, HDL, minimally modified electronegative LDL, and adiponectin); glycerides (triglycerides, VLDL and fatty acids); coagulation factors (factor VII, fibrinogen, plasminogen activator inhibitor-1); inflammation (high-sensitivity C reactive protein); and myocardial necrosis (CK-MB and troponin). Continuous variables were converted into degrees of relevance using fuzzy logic. RESULTS: Significant correlation was observed between hyperglycemia and glucose metabolism (p < 0.001), lipoproteins (p = 0.03), and necrosis factors (p = 0.03). In the multivariate analysis, only glucose metabolism (OR = 4.3; CI = 2.1-68.9; and p < 0.001) and myocardial necrosis (OR = 22.5; CI = 2-253; and p = 0.012) showed independent and significant correlation. For the analysis of the influence of history of diabetes mellitus, a regression model including only patients without diabetes mellitus was developed, and the results did not change. Finally, in the model adjusted for age, gender, and clinical variables (history of diabetes mellitus, hypertension and dyslipidemia), three variables maintained a significant and independent association with hyperglycemia: glucose metabolism (OR = 24.1; CI = 4.8-122.1; and p < 0.001), myocardial necrosis (OR = 21.9; CI = 1.3-360.9; and p = 0.03), and history of DM (OR = 27; CI = 3.7-195.7; and p = 0.001). CONCLUSION: Glucose metabolism and myocardial necrosis markers were the best predictors of hyperglycemia in patients with acute myocardial infarction.
