5 resultados para Equine metabolic syndrome
Resumo:
INTRODUCTION: Metabolic syndrome (MS) is an independent predictor of acute cardiovascular events. However, few studies have addressed the relationship between MS and stable angiographic coronary artery disease (CAD), which has a different pathophysiological mechanism. We aimed to study the independent predictors for significant CAD, and to analyze the impact of MS (by the AHA/NHLBI definition) on CAD. METHODS: We prospectively included 300 patients, mean age 64±9 years, 59% male, admitted for elective coronary angiography (suspected ischemic heart disease), excluding patients with known cardiac disease. All patients underwent assessment of demographic, anthropometric, and laboratory data and risk factors, and subsequently underwent coronary angiography. RESULTS: In the study population, 23.0% were diabetic, 40.5% had MS (and no diabetes) and 36.7% had neither diagnosis. Significant CAD was present in 51.3% of patients. CAD patients were older and more frequently male and diabetic, with increased triglycerides and glucose and lower HDL cholesterol. Abdominal obesity was also less prevalent. MS was not associated with the presence of CAD (OR 0.94, 95% CI 0.59-1.48, p=0.778). Of the MS components, the most important predictors of CAD were increased glucose and triglycerides. Abdominal obesity was associated with a lower risk of CAD. In a multivariate logistic regression model for CAD, independent predictors of CAD were age, male gender, glucose and triglycerides. Body mass index had a protective effect. CONCLUSIONS: Although MS is associated with cardiovascular events, the same was not found for stable angiographically proven CAD. Age, gender, diabetes and triglycerides are the most influential factors for CAD, with abdominal obesity as a protective factor.
Resumo:
Objectivos: A prevalência de Sindroma Metabólica (SM) e diabetes é variável consoante a definição utilizada, assim como com a região geográfica e o grupo étnico estudado. Não existem estudos em indivíduos portugueses com suspeita de doença arterial coronária. Analisámos a prevalência de SM e diabetes nesta população específica de doentes, comparando também definições. Métodos: Incluíram-se no estudo 300 indivíduos, com uma idade media de 64 ± 9 anos, 59% do género masculino, admitidos para angiografia coronária electiva, tendo sido excluídos os doentes com doença cardíaca previamente conhecida. Avaliou-se a prevalência de SM e de diabetes. Resultados: A prevalência ajustada de SM foi de 39,3% (critério NCEP-ATP III), 53,8% (critério IDF) e 48,4% (critério AHA/NHLBI). A prevalência ajustada de diabetes foi de 14,8% pela definição prévia da ADA e de 36.4% com a definição mais recente. A concordância global entre as definições de SM foi de 45,3%, sendo mais elevada entre as definições da AHA/NHLBI e da NCEP-ATP III (Kappa 0,821). A prevalência de SM está altamente dependente da idade em ambos os géneros, sendo mais prevalente no género feminino. A prevalência de diabetes é também dependente da idade, sendo semelhante em ambos os géneros. O componente de SM mais frequente é a hipertensão arterial, seguido pela obesidade abdominal, elevação da glicose, colesterol-HDL baixo e finalmente elevação dos triglicéridos. É também importante referir que 60% dos doentes estavam sob terapêutica hipolipemiante (56,6% com estatinas, 1,7% com fibratos e 1,7% com ambos). A diferença mais significativa entre géneros no que diz respeito aos componentes de SM é a elevada prevalência de obesidade abdominal no género feminino. Conclusões: Nesta população de alto risco, a prevalência de SM é elevada, sendo contudo a prevalência de diabetes semelhante à registada em estudos epidemiológicos na população geral.
Resumo:
BACKGROUND: Metabolic syndrome (MS) is associated with increased incidence of diabetes and atherosclerotic complications. The new definition of the International Diabetes Federation (IDF) increases the population with this entity, compared to the NCEP ATP III definition. OBJECTIVES: To study the prevalence of coronary artery disease (CAD) and carotid intima-media thickness (IMT) in patients with and without MS, according to the NCEP ATP III and IDF definitions, and the predictive ability of carotid IMT for CAD. METHODS: We studied 270 consecutive patients admitted for elective coronary angiography due to suspicion of CAD. All patients underwent ultrasound study of the carotid arteries to measure IMT (the highest value between the right and left common carotid arteries was used in the analysis). Coronary stenosis of > or =70% (or 50% for the left main coronary artery) was considered significant. RESULTS: By the ATP III definition, 14% of the patients had MS, and these patients had a higher prevalence of CAD (87% vs. 63%, p = 0.004), but no significant difference was found for carotid IMT (1.03 +/- 0.36 mm vs. 0.95 +/- 0.35 mm, p=NS). With the IDF definition, 61% of the patients had MS; this group was slightly older and included more women. There were no differences in terms of CAD (68% vs. 63%) or carotid IMT (0.97 +/- 0.34 vs. 0.96 +/- 0.39 mm). On multivariate analysis, the ATP III definition of MS predicts CAD (OR 4.76, 95% CI 1.71-13.25, p = 0.003), but the IDF definition does not (OR 1.29, 95% CI 0.74-2.27, p = 0.37). On ROC curve analysis, an IMT of > or = 0.95 mm predicts CAD (AUC 0.66, p < 0.001), with a sensitivity of 52% and specificity of 75%. CONCLUSIONS: The new IDF definition increases the population with MS, decreasing the capacity to predict the presence of CAD. In our population, neither the ATP III nor the IDF definition showed differences in terms of carotid IMT. Carotid IMT can predict CAD, but with only modest sensitivity.
Resumo:
INTRODUCTION: Carotid intima-media thickness (cIMT) is considered an early marker for atherosclerosis, but there are few studies on the expression of this marker in younger populations. OBJECTIVES: To evaluate cIMT in younge patients (aged 30-50 years) and its expression according to cardiovascular risk factors. METHODS: We analyzed individuals admitted for an invasive cardiac procedure. Normal cIMT was defined as < 0.90 mm, thickened as 0.90-1.50 mm and atherosclerotic plaque as > 1.50 mm. Lipid profile, anthropometric parameters, fasting blood glucose and estimated GFR were also determined. RESULTS: A total of 106 patients were included (59% male), with a mean age of 43 +/- 5 years, 36% with hypertension, 22% smokers, 32% with known hyperlipidemia, 16% with diabetes, 39% under statin therapy and 40% with metabolic syndrome (AHA/NHLBI definition). Mean cIMT was 0.69 +/- 0.26 mm, and was normal in 74% of the patients, thickened in 20% and with atherosclerotic plaques in 6%. cIMT correlated directly with age (r = 0.26, p = 0.007), log fasting glucose (r = 0.21, p = 0.04), and log triglycerides (r = 0.24, p = 0.017), and tended to correlate with the number of components of metabolic syndrome (r = 0.17, p = 0.08). However, on multivariate analysis, only age remained as an independent predictor (r = 0.29, p = 0.005). Diabetic patients had greater cIMT (0.81 +/- 0.22 vs. 0.67 +/- 0.26 mm, p = 0.039) and there was a trend for greater cIMT in those with metabolic syndrome (0.75 +/- 0.29 vs. 0.66 +/- 0.23 mm, p = 0.09). There were no differences for the other risk factors, A higher number of risk factors in a single patient showed a trend for increased cIMT (p = 0.083) CONCLUSIONS: Age is the only independent determinant of cIMT in a young population. Diabetic patients have greater cIMT and a trend was seen in those with metabolic syndrome, possibly influenced by its relation with diabetes, one of the components of the metabolic syndrome.
Resumo:
INTRODUCTION: Insulin resistance is the pathophysiological key to explain metabolic syndrome. Although clearly useful, the Homeostasis Model Assessment index (an insulin resistance measurement) hasn't been systematically applied in clinical practice. One of the main reasons is the discrepancy in cut-off values reported in different populations. We sought to evaluate in a Portuguese population the ideal cut-off for Homeostasis Model Assessment index and assess its relationship with metabolic syndrome. MATERIAL AND METHODS: We selected a cohort of individuals admitted electively in a Cardiology ward with a BMI < 25 Kg/m2 and no abnormalities in glucose metabolism (fasting plasma glucose < 100 mg/dL and no diabetes). The 90th percentile of the Homeostasis Model Assessment index distribution was used to obtain the ideal cut-off for insulin resistance. We also selected a validation cohort of 300 individuals (no exclusion criteria applied). RESULTS: From 7 000 individuals, and after the exclusion criteria, there were left 1 784 individuals. The 90th percentile for Homeostasis Model Assessment index was 2.33. In the validation cohort, applying that cut-off, we have 49.3% of individuals with insulin resistance. However, only 69.9% of the metabolic syndrome patients had insulin resistance according to that cut-off. By ROC curve analysis, the ideal cut-off for metabolic syndrome is 2.41. Homeostasis Model Assessment index correlated with BMI (r = 0.371, p < 0.001) and is an independent predictor of the presence of metabolic syndrome (OR 19.4, 95% CI 6.6 - 57.2, p < 0.001). DISCUSSION: Our study showed that in a Portuguese population of patients admitted electively in a Cardiology ward, 2.33 is the Homeostasis Model Assessment index cut-off for insulin resistance and 2.41 for metabolic syndrome. CONCLUSION: Homeostasis Model Assessment index is directly correlated with BMI and is an independent predictor of metabolic syndrome.