Early glucometabolic profile in patients with acute coronary syndromes and metabolic syndrome

Patients with metabolic syndrome (MetS) are at high coronary risk and beta-cell dysfunction or insulin resistance might predict an additional risk for early cardiovascular events. This study aimed to evaluate early glucometabolic alterations in patients with MetS, but without previously known type 2...

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Published inArquivos brasileiros de cardiologia Vol. 92; no. 2; pp. 89 - 99
Main Authors Monteiro, Carlos M C, Oliveira, Luciene, Izar, Maria C O, Helfenstein, Tatiana, Santos, Andreza O, Fischer, Simone M, Barros, Sahana W, Pinheiro, Luiz F M, Carvalho, Antonio C C, Fonseca, Francisco A H
Format Journal Article
LanguageEnglish
Portuguese
Spanish
Published Brazil 01.02.2009
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Summary:Patients with metabolic syndrome (MetS) are at high coronary risk and beta-cell dysfunction or insulin resistance might predict an additional risk for early cardiovascular events. This study aimed to evaluate early glucometabolic alterations in patients with MetS, but without previously known type 2 diabetes, after acute coronary syndrome. A total of 114 patients were submitted to an oral glucose tolerance test (OGTT) 1-3 days after hospital discharge due to myocardial infarction or unstable angina. Based on the OGTT, we defined three groups of patients: normal glucose tolerance (NGT; n=26), impaired glucose tolerance (IGT; n=39), or diabetes (DM; n=49). The homeostasis model assessment (HOMA-IR) was used to measure insulin resistance; beta-cell responsiveness was assessed by the insulinogenic index at 30 min (DeltaI30/DeltaG30). Based on the HOMA-IR, patients with DM were more insulin-resistant than those with NGT or IGT (p<0.001). According to the insulinogenic index, the beta-cell responsiveness was also impaired in subjects with DM (p<0.001 vs NGT or IGT). High rates of glucometabolic alterations were found after acute coronary syndrome in patients with MetS. As these abnormalities markedly increase the risk for adverse outcomes, early OGTT among MetS patients might be used to identify those at the highest coronary risk.
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ISSN:1678-4170
DOI:10.1590/S0066-782X2009000200004