Expressão de Aterosclerose Sub-Clínica para Diferentes Factores de Risco Cardiovasculares em Populações Jovens

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.

Variante Bética da Glucose-6-Fosfato-Desidrogenase: a Propósito de um Caso Clínico

O défice de Glucose-6-fosfato Desidrogenase (G6PD) é, provavelmente, a mutação clinicamente significativa mais frequente a nível mundial, sendo Portugal um país de baixa prevalência (cerca de 0,51%). A G6PD é o enzima que catalisa o primeiro passo na via das pentoses fosfato transformando a glicose- 6- fosfato em 6- fosfogluconato com redução do NADP a NADPH. Apesar de ser expressa em todos os tecidos, a sua deficiência apenas se faz sentir nos eritrocitos, levando a hemólise dos mesmos em situações de stress oxidativo. Já foram descritas mais de 400 variantes da G6PD. Os autores apresentam um caso de uma mulher portadora da variante Bética da G6PD, sendo a doença manifestada por favismo.

Optimal Cut-Off Value for Homeostasis Model Assessment (HOMA) Index of Insulin-Resistance in a Population of Patients Admitted Electively in a Portuguese Cardiology Ward

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.

The Use of Statins in People at Risk of Developing Diabetes Mellitus: Evidence and Guidance for Clinical Practice

Reducing low-density lipoprotein cholesterol (LDL-C) levels using statins is associated with significant reductions in cardiovascular (CV) events in a wide range of patient populations. Although statins are generally considered to be safe, recent studies suggest they are associated with an increased risk of developing Type 2 diabetes (T2D). This led the US Food and Drug Administration (FDA) to change their labelling requirements for statins to include a warning about the possibility of increased blood sugar and HbA1c levels and the European Medicines Agency (EMA) to issue guidance on a small increased risk of T2D with the statin class. This review examines the evidence leading to these claims and provides practical guidance for primary care physicians on the use of statins in people with or at risk of developing T2D. Overall, evidence suggests that the benefits of statins for the reduction of CV risk far outweigh the risk of developing T2D, especially in individuals with higher CV risk. To reduce the risk of developing T2D, physicians should assess all patients for T2D risk prior to starting statin therapy, educate patients about their risks, and encourage risk-reduction through lifestyle changes. Whether some statins are more diabetogenic than others requires further study. Statin-treated patients at high risk of developing T2D should regularly be monitored for changes in blood glucose or HbA1c levels, and the risk of conversion from pre-diabetes to T2D should be reduced by intensifying lifestyle changes. Should a patient develop T2D during statin treatment, physicians should continue with statin therapy and manage T2D in accordance with relevant national guidelines.