312 resultados para HOMA-IR2


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OBJECTIVE: Few studies have assessed secular changes in the levels of cardiovascular risk factors (CV-RF) in populations of low or middle income countries. The systematic collection of a broad set of both traditional and metabolic CV-RF in 1989 and 2004 in the population of the Seychelles islands provides a unique opportunity to examine trends at a fairly early stage of the "diabesity" era in a country in the African region. METHODS: Two examination surveys were conducted in independent random samples of the population aged 25-64 years in 1989 and 2004, attended by respectively 1081 and 1255 participants (participation rates >80%). All results are age-standardized to the WHO standard population. RESULTS: In 2004 vs. 1989, the levels of the main traditional CV-RF have either decreased, e.g. smoking (17% vs. 30%, p < 0.001), mean blood pressure (127.8/84.8 vs. 130.0/83.4 mmHg, p < 0.05), or only moderately increased, e.g. median LDL-cholesterol (3.58 vs. 3.36 mmol/l, p < 0. 01). In contrast, marked detrimental trends were found for obesity (37% vs. 21%, p < 0.001) and several cardiometabolic CVD-RF, e.g. mean HDL-cholesterol (1.36 vs. 1.40 mmol/l, p < 0.05), median triglycerides (0.80 vs. 0.78 mmol/l, p < 0.01), mean blood glucose (5.89 vs. 5.22 mmol/l, p < 0.001), median insulin (11.6 vs. 8.3 micromol/l, p < 0.001), median HOMA-IR (2.9 vs. 1.8, p < 0.001) and diabetes (9.4% vs. 6.2%, p < 0.001). At age 40-64, the prevalence of elevated total cardiovascular risk tended to decrease (e.g. WHO-ISH risk score > or =10; 11% vs. 13%, ns), whereas the prevalence of the metabolic syndrome (which integrates several cardiometabolic CVD-RF) nearly doubled (36% vs. 20%, p < 0.001). Data on physical activity and on intake of alcohol, fruit and vegetables are also provided. Awareness and treatment rates improved substantially for hypertension and diabetes, but control rates improved for the former only. Median levels of the cardiometabolic CVD-RF increased between 1989 and 2004 within all BMI strata, suggesting that the worsening levels of cardiometabolic CVD-RF in the population were not only related to increasing BMI levels in the interval. CONCLUSION: The levels of several traditional CVD-RF improved over time, while marked detrimental trends were observed for obesity, diabetes and several cardiometabolic factors. Thus, in this population, the rapid health transition was characterized by substantial changes in the patterns of CVD-RF. More generally, this analysis suggests the importance of surveillance systems to identify risk factor trends and the need for preventive strategies to promote healthy lifestyles and nutrition.

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Purpose: Recent studies showed that pericardial fat was independently correlated with the development of coronary artery disease (CAD). The mechanism remains unclear. We aimed at assessing a possible relationship between pericardial fat volume and endothelium-dependent coronary vasomotion, a surrogate of future cardiovascular events.Methods: Fifty healthy volunteers without known CAD or cardiovascular risk factors (CRF) were enrolled. They all underwent a dynamic Rb- 82 cardiac PET/CT to quantify myocardial blood flow (MBF) at rest, during MBF response to cold pressure test (CPT-MBF) and adenosine stress. Pericardial fat volume (PFV) was measured using a 3D volumetric CT method and common biological CRF (glucose and insulin levels, HOMA-IR, cholesterol, triglyceride, hs-CRP). Relationships between MBF response to CPT, PFV and other CRF were assessed using non-parametric Spearman correlation and multivariate regression analysis of variables with significant correlation on univariate analysis (Stata 11.0).Results: All of the 50 participants had normal MBF response to adenosine (2.7±0.6 mL/min/g; 95%CI: 2.6−2.9) and myocardial flow reserve (2.8±0.8; 95%CI: 2.6−3.0) excluding underlying CAD. Simple regression analysis revealed a significant correlation between absolute CPTMBF and triglyceride level (rho = −0.32, p = 0.024) fasting blood insulin (rho = −0.43, p = 0.0024), HOMA-IR (rho = −0.39, p = 0.007) and PFV (rho = −0.52, p = 0.0001). MBF response to adenosine was only correlated with PFV (rho = −0.32, p = 0.026). On multivariate regression analysis PFV emerged as the only significant predictor of MBF response to CPT (p = 0.002).Conclusion: PFV is significantly correlated with endothelium-dependent coronary vasomotion. High PF burden might negatively influence MBF response to CPT, as well as to adenosine stress, even in persons with normal hyperemic myocardial perfusion imaging, suggesting a link between PF and future cardiovascular events. While outside-to-inside adipokines secretion through the arterial wall has been described, our results might suggest an effect upon NO-dependent and -independent vasodilatation. Further studies are needed to elucidate this mechanism.

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AIMS: To investigate the relationship of alcohol consumption with the metabolic syndrome and diabetes in a population-based study with high mean alcohol consumption. Few data exist on these conditions in high-risk drinkers. METHODS: In 6172 adults aged 35-75 years, alcohol consumption was categorized as 0, 1-6, 7-13, 14-20, 21-27, 28-34 and ≥ 35 drinks/week or as non-drinkers (0), low-risk (1-13), medium-to-high-risk (14-34) and very-high-risk (≥ 35) drinkers. Alcohol consumption was objectively confirmed by biochemical tests. In multivariate analysis, we assessed the relationship of alcohol consumption with adjusted prevalence of the metabolic syndrome, diabetes and insulin resistance, determined with the homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS: Seventy-three per cent of participants consumed alcohol, 16% were medium-to-high-risk drinkers and 2% very-high-risk drinkers. In multivariate analysis, the prevalence of the metabolic syndrome, diabetes and mean HOMA-IR decreased with low-risk drinking and increased with high-risk drinking. Adjusted prevalence of the metabolic syndrome was 24% in non-drinkers, 19% in low-risk (P<0.001 vs. non-drinkers), 20% in medium-to-high-risk and 29% in very-high-risk drinkers (P=0.005 vs. low-risk). Adjusted prevalence of diabetes was 6.0% in non-drinkers, 3.6% in low-risk (P<0.001 vs. non-drinkers), 3.8% in medium-to-high-risk and 6.7% in very-high-risk drinkers (P=0.046 vs. low-risk). Adjusted HOMA-IR was 2.47 in non-drinkers, 2.14 in low-risk (P<0.001 vs. non-drinkers), 2.27 in medium-to-high-risk and 2.53 in very-high-risk drinkers (P=0.04 vs. low-risk). These relationships did not differ according to beverage types. CONCLUSIONS: Alcohol has a U-shaped relationship with the metabolic syndrome, diabetes and HOMA-IR, without differences between beverage types.

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ButsDans la littérature actuelle, peu d'études existent sur la relation entre la consommation d'alcool et le syndrome métabolique. Les quelques données disponibles sont contradictoires et très limitées chez les buveurs à haut risque. Quant au diabète, une association est connue entre la consommation à bas risque d'alcool et une prévalence diminuée de la maladie. Là encore, les données sur la consommation à haut risque sont très limitées. Par conséquent, notre but était d'étudier la relation entre la consommation d'alcool, le syndrome métabolique et le diabète dans la cohorte lausannoise (CoLaus), où la consommation moyenne d'alcool est nettement plus élevée que dans la plupart des études disponibles, notamment celles des États-Unis.MéthodesNous avons analysé les données de 6172 hommes et femmes, âgés de 35 à 75 ans. La consommation d'alcool a été catégorisée en 0,1-6, 7-13, 14-20, 21-27, 28-34 et >35 boissons par semaine ou comme non-buveurs (0), buveurs à bas risque (1-13), à risque moyen à élevé (14-34) et à très haut risque (>35). Nous avons confirmé la consommation d'alcool par la y- glutamyl transferase et la transferrine déficiente en hydrates de carbone (CDT). Après l'analyse des caractéristiques des groupes de consommateurs, nous avons utilisé des régressions multivariées pour évaluer la relation entre la consommation d'alcool, la prévalence du syndrome métabolique et du diabète ainsi que la résistance à l'insuline, déterminée par le modèle d'homéostasie de la résistance à l'insuline (HOMA-IR). Dans le modèle d'ajustement, nous avons inclus l'âge, le genre, le status tabagique, l'activité physique et le niveau de formation. Nous avons aussi comparé la relation du type d'alcool (vin, bière et spiritueux) avec le syndrome métabolique, le diabète et le HOMA-IR en testant l'hypothèse d'égalité de leurs coefficients de régression, après ajustement.RésultatsParmi les participants, 73% buvaient de l'alcool, 16% étant buveurs à risque moyen à élevé et 2% à risque très élevé. En analyse multivariée, la prévalence du syndrome métabolique et du diabète ainsi que le HOMA-IR moyen diminuaient avec la consommation d'alcool à bas risque et augmentaient avec la consommation à très haut risque, montrant une relation en U. La prévalence ajustée du syndrome métabolique était de 24% chez les non-buveurs, 19% chez les buveurs à bas risque (p<0.001 vs. non-buveurs), 20% chez ceux à risque moyen à élevé et 29% chez ceux à très haut risque (p=0.005 vs. bas risque). La prévalence ajustée du diabète était de 6.0% chez les non-buveurs, 3.6% chez les buveurs à bas risque (p<0.001 vs. non-buveurs), 3.8% chez ceux à risque moyen à élevé et 6.7% chez ceux à très haut risque (p=0.046 vs. bas risque). Le HOMA-IR moyen ajusté était de 2.47 chez les non-buveurs, 2.14 chez ceux à bas risque (pcO.OOl vs. non-buveurs), 2.27 chez ceux à risque moyen à élevé et 2.53 chez ceux à très haut risque (p=0.04 vs. bas risque). Ces relations ne différaient pas selon les types de boissons.ConclusionsLa prévalence du syndrome métabolique, du diabète et le HOMA-IR baissent pour les faibles consommations d'alcool, mais augmentent à nouveau avec les plus fortes consommations, sans différence entre les types de boissons.

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AIMS/HYPOTHESIS: To assist in the development of preventive strategies, we studied whether the neighbourhood environment or modifiable behavioural parameters, including cardiorespiratory fitness (CRF) and physical activity (PA), are independently associated with obesity and metabolic risk markers in children. METHODS: We carried out a cross-sectional analysis of 502 randomly selected first and fifth grade urban and rural Swiss schoolchildren with regard to CRF, PA and the neighbourhood (rural vs urban) environment. Outcome measures included BMI, sum of four skinfold thicknesses, homeostasis model assessment of insulin resistance (HOMA-IR) and a standardised clustered metabolic risk score. RESULTS: CRF and PA (especially total PA, but also the time spent engaged in light and in moderate and vigorous intensity PA) were inversely associated with measures of obesity, HOMA-IR and the metabolic risk score, independently of each other, and of sociodemographic and nutritional parameters, media use, sleep duration, BMI and the neighbourhood environment (all p < 0.05). Children living in a rural environment were more physically active and had higher CRF values and reduced HOMA-IR and metabolic risk scores compared with children living in an urban environment (all p < 0.05). These differences in cardiovascular risk factors persisted after adjustment for CRF, total PA and BMI. CONCLUSIONS/INTERPRETATION: Reduced CRF, low PA and an urban environment are independently associated with an increase in metabolic risk markers in children.

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OBJECTIVE: Previous studies suggest that arginine vasopressin may have a role in metabolic syndrome (MetS) and diabetes by altering liver glycogenolysis, insulin, and glucagon secretion and pituitary ACTH release. We tested whether plasma copeptin, the stable C-terminal fragment of arginine vasopressin prohormone, was associated with insulin resistance and MetS in a Swiss population-based study. DESIGN AND METHOD: We analyzed data from the population-based Swiss Kidney Project on Genes in Hypertension. Copeptin was assessed by an immunoluminometric assay. Insulin resistance was derived from the HOMA model and calculated as follows: (FPI x FPG)/22.5, where FPI is fasting plasma insulin concentration (mU/L) and FPG fasting plasma glucose (mmol/L). Subjects were classified as having the MetS according to the National Cholesterol Education Program Adult Treatment Panel III criteria. Mixed multivariate linear regression models were built to explore the association of insulin resistance with copeptin. In addition, multivariate logistic regression models were built to explore the association between MetS and copeptin. In the two analyses, adjustment was done for age, gender, center, tobacco and alcohol consumption, socioeconomic status, physical activity, intake of fruits and vegetables and 24 h urine flow rate. Copeptin was log-transformed for the analyses. RESULTS: Among the 1,089 subjects included in this analysis, 47% were male. Mean (SD) age and body mass index were 47.4 (17.6) years 25.0 (4.5) kg/m2. The prevalence of MetS was 10.5%. HOMA-IR was higher in men (median 1.3, IQR 0.7-2.1) than in women (median 1.0, IQR 0.5-1.6,P < 0.0001). Plasma copeptin was higher in men (median 5.2, IQR 3.7-7.8 pmol/L) than in women (median 3.0, IQR 2.2-4.3 pmol/L), P < 0.0001. HOMA-IR was positively associated with log-copeptin after full adjustment (β (95% CI) 0.19 (0.09-0.29), P < 0.001). MetS was not associated with copeptin after full adjustment (P = 0.92). CONCLUSIONS: Insulin resistance, but not MetS, was associated with higher copeptin levels. Further studies should examine whether modifying pharmacologically the arginine vasopressin system might improve insulin resistance, thereby providing insight into the causal nature of this association.

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BACKGROUND: Low vitamin D status has been associated with an increased risk of developing type 2 diabetes and insulin resistance (IR), although this has been recently questioned. OBJECTIVE: We examined the association between serum vitamin D metabolites and incident IR. METHODS: This was a prospective, population-based study derived from the CoLaus (Cohorte Lausannoise) study including 3856 participants (aged 51.2 ± 10.4 y; 2217 women) free from diabetes or IR at baseline. IR was defined as a homeostasis model assessment (HOMA) index >2.6. Fasting plasma insulin and glucose were measured at baseline and at follow-up to calculate the HOMA index. The association of vitamin D metabolites with incident IR was analyzed by logistic regression, and the results were expressed for each independent variable as ORs and 95% CIs. RESULTS: During the 5.5-y follow-up, 649 (16.9%) incident cases of IR were identified. Participants who developed IR had lower baseline serum concentrations of 25-hydroxyvitamin D3 [25(OH)D3 (25-hydroxycholecalciferol); 45.9 ± 22.8 vs. 49.9 ± 22.6 nmol/L; P < 0.001], total 25(OH)D3 (25(OH)D3 + epi-25-hydroxyvitamin D3 [3-epi-25(OH)D3]; 49.1 ± 24.3 vs. 53.3 ± 24.1 nmol/L; P < 0.001), and 3-epi-25(OH)D3 (4.2 ± 2.9 vs. 4.3 ± 2.5 nmol/L; P = 0.01) but a higher 3-epi- to total 25(OH)D3 ratio (0.09 ± 0.05 vs. 0.08 ± 0.04; P = 0.007). Multivariable analysis adjusting for month of sampling, age, and sex showed an inverse association between 25(OH)D3 and the likelihood of developing IR [ORs (95% CIs): 0.86 (0.68, 1.09), 0.60 (0.46, 0.78), and 0.57 (0.43, 0.75) for the second, third, and fourth quartiles compared with the first 25(OH)D3 quartile; P-trend < 0.001]. Similar associations were found between total 25(OH)D3 and incident IR. There was no significant association between 3-epi-25(OH)D3 and IR, yet a positive association was observed between the 3-epi- to total 25(OH)D3 ratio and incident IR. Further adjustment for body mass index, sedentary status, and smoking attenuated the association between 25(OH)D3, total 25(OH)D3, and the 3-epi- to total 25(OH)D3 ratio and the likelihood of developing IR. CONCLUSION: In the CoLaus study in healthy adults, the risk of incident IR is not associated with serum concentrations of 25(OH)D3 and total 25(OH)D3.

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PURPOSE: Thoracic fat has been associated with an increased risk of coronary artery disease (CAD). As endothelium-dependent vasoreactivity is a surrogate of cardiovascular events and is impaired early in atherosclerosis, we aimed at assessing the possible relationship between thoracic fat volume (TFV) and endothelium-dependent coronary vasomotion. METHODS: Fifty healthy volunteers without known CAD or major cardiovascular risk factors (CRFs) prospectively underwent a (82)Rb cardiac PET/CT to quantify myocardial blood flow (MBF) at rest, and MBF response to cold pressor testing (CPT-MBF) and adenosine (i.e., stress-MBF). TFV was measured by a 2D volumetric CT method and common laboratory blood tests (glucose and insulin levels, HOMA-IR, cholesterol, triglyceride, hsCRP) were performed. Relationships between CPT-MBF, TFV and other CRFs were assessed using non-parametric Spearman rank correlation testing and multivariate linear regression analysis. RESULTS: All of the 50 participants (58 ± 10y) had normal stress-MBF (2.7 ± 0.6 mL/min/g; 95 % CI: 2.6-2.9) and myocardial flow reserve (2.8 ± 0.8; 95 % CI: 2.6-3.0) excluding underlying CAD. Univariate analysis revealed a significant inverse relation between absolute CPT-MBF and sex (ρ = -0.47, p = 0.0006), triglyceride (ρ = -0.32, p = 0.024) and insulin levels (ρ = -0.43, p = 0.0024), HOMA-IR (ρ = -0.39, p = 0.007), BMI (ρ = -0.51, p = 0.0002) and TFV (ρ = -0.52, p = 0.0001). MBF response to adenosine was also correlated with TFV (ρ = -0.32, p = 0.026). On multivariate analysis, TFV emerged as the only significant predictor of MBF response to CPT (p = 0.014). CONCLUSIONS: TFV is significantly correlated with endothelium-dependent and -independent coronary vasomotion. High TF burden might negatively influence MBF response to CPT and to adenosine stress, even in persons without CAD, suggesting a link between thoracic fat and future cardiovascular events.

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BACKGROUND: Earlobe crease (ELC) has been associated with cardiovascular diseases (CVD) or risk factors (CVRF) and could be a marker predisposing to CVD. However, most studies studied only a small number of CVRF and no complete assessment of the associations between ELC and CVRF has been performed in a single study. METHODS: Population-based study (n = 4635, 46.7 % men) conducted between 2009 and 2012 in Lausanne, Switzerland. RESULTS: Eight hundred six participants (17.4 %) had an ELC. Presence of ELC was associated with male gender and older age. After adjusting for age and gender (and medication whenever necessary), presence of ELC was significantly (p < 0.05) associated with higher levels of body mass index (BMI) [adjusted mean ± standard error: 27.0 ± 0.2 vs. 26.02 ± 0.07 kg/m(2)], triglycerides [1.40 ± 0.03 vs. 1.36 ± 0.01 mmol/L] and insulin [8.8 ± 0.2 vs. 8.3 ± 0.1 μIU/mL]; lower levels of HDL cholesterol [1.61 ± 0.02 vs. 1.64 ± 0.01 mmol/L]; higher frequency of abdominal obesity [odds ratio and (95 % confidence interval) 1.20 (1.02; 1.42)]; hypertension [1.41 (1.18; 1.67)]; diabetes [1.43 (1.15; 1.79)]; high HOMA-IR [1.19 (1.00; 1.42)]; metabolic syndrome [1.28 (1.08; 1.51)] and history of CVD [1.55 (1.21; 1.98)]. No associations were found between ELC and estimated cardiovascular risk, inflammatory or liver markers. After further adjustment on BMI, only the associations between ELC and hypertension [1.30 (1.08; 1.56)] and history of CVD [1.47 (1.14; 1.89)] remained significant. For history of CVD, further adjustment on diabetes, hypertension, total cholesterol and smoking led to similar results [1.36 (1.05; 1.77)]. CONCLUSION: In this community-based sample ELC was significantly and independently associated with hypertension and history of CVD.

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TCF7L2 is the susceptibility gene for Type 2 diabetes (T2D) with the largest effect on disease risk that has been discovered to date. However, the mechanisms by which TCF7L2 contributes to the disease remain largely elusive. In addition, epigenetic mechanisms, such as changes in DNA methylation patterns, might have a role in the pathophysiology of T2D. This study aimed to investigate the differences in terms of DNA methylation profile of TCF7L2 promoter gene between type 2 diabetic patients and age- and Body Mass Index (BMI)- matched controls. We included 93 type 2 diabetic patients that were recently diagnosed for T2D and exclusively on diet (without any pharmacological treatment). DNA was extracted from whole blood and DNA methylation was assessed using the Sequenom EpiTYPER system. Type 2 diabetic patients were more insulin resistant than their matched controls (mean HOMA IR 2.6 vs 1.8 in controls, P<0.001) and had a poorer beta-cell function (mean HOMA B 75.7 vs. 113.6 in controls, P<0.001). Results showed that 59% of the CpGs analyzed in TCF7L2 promoter had significant differences between type 2 diabetic patients and matched controls. In addition, fasting glucose, HOMA-B, HOMA-IR, total cholesterol and LDL-cholesterol correlated with methylation in specific CpG sites of TCF7L2 promoter. After adjustment by age, BMI, gender, physical inactivity, waist circumference, smoking status and diabetes status uniquely fasting glucose, total cholesterol and LDL-cholesterol remained significant. Taken together, newly diagnosed, drug-naïve type 2 diabetic patients display specific epigenetic changes at the TCF7L2 promoter as compared to age- and BMI-matched controls. Methylation in TCF7L2 promoter is further correlated with fasting glucose in peripheral blood DNA, which sheds new light on the role of epigenetic regulation of TCF7L2 in T2D.

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OBJETIVO: investigar a resistência insulínica imposta pela lipoaspiração, correlacionando sua intensidade com a extensão da operação. MÉTODOS: A amostra foi formada de 20 pacientes do sexo feminino sem comorbidades, com idade entre 21 e 43 anos, índice de massa corporal entre 19 e 27 Kg/m², submetidas à lipoaspiração isolada ou associada à prótese de mamas. Foram coletados os indicadores de resistência insulínica no início e término da cirurgia para o cálculo do Homeostasis Model Assessment (HOMA-IR). As variáveis operatórias foram tempo de lipoaspiração, tempo de prótese de mamas, áreas corporais lipoaspiradas e gordura total aspirada. RESULTADOS: O tempo de lipoaspiração foi 94 a 278 min (média=174 min), tempo de prótese de mamas de 20 a 140 min (média=65 min), gordura total aspirada de 680 a 4280 g (média=1778 g). A análise estatística foi realizada por uma linha de corte de 1500 g de gordura aspirada e revelou uma resistência insulínica pelo índice de HOMA significativamente mais intensa no grupo >1500 g (aumento de 123%) em relação ao grupo d"1500 g (aumento de 53%,) a partir dos dados basais (p=0,02). As demais variáveis operatórias não apresentaram correlação significativa. CONCLUSÃO: A resistência insulínica apresenta aumento significativo na lipoaspiração, correlacionada ao volume de gordura aspirado.

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OBJECTIVE: To determine the prevalence of metabolic syndrome (MS) and its clinical interrelations in polycystic ovary syndrome (PCOS).METHODS: This was a cross-sectional, prospective study with 100 patients with diagnosed PCOS based on the consensus of Rotterdam (2003). We investigated the interrelationships of MS, with intrinsic PCOS data. Dermatological profile was analyzed, in addition to acanthosis nigricans (AN) in the presence of hirsutism and acne. The use of HOMA-IR (homeostatic model assessment of insulin resistance) aimed at the correlation with MS in order to establish the metabolic dysfunction with the state of insulin resistance.RESULTS: The mean and standard deviations corresponding figures for age, body mass index and waist circumference were, respectively, 25.72 (± 4.87), 30.63 (± 9.31) and 92.09 (± 18.73). The prevalence of MS was 36% and significantly correlated with BMI, AN, and in 51% of patients the state of insulin resistance (HOMA-IR). Regarding skin profile, only AN significant correlation with MS.CONCLUSION: We propose the routine inspection of metabolic components related to severe PCOS. These parameters configure the cardiovascular risk and such conduct is of undoubted importance to public health.

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OBJETIVO: avaliar a concentração plasmática da proteína C reativa ultra-sensível (PCRus) e a sua correlação com variáveis clínicas, hormonais e metabólicas em pacientes portadoras da síndrome do ovário policístico (SOP). Métodos: estudo transversal, que incluiu 46 pacientes portadoras de síndrome do ovário policístico, diagnosticadas segundo os critérios de Rotterdam (2003), e 44 pacientes controle, que foram submetidas a dosagem da PCRus. O índice de massa corporal (IMC), a idade, a circunferência abdominal e os níveis de insulina de jejum, de testosterona, do HOMA-IR (homeostasis model assessment-insulin resistance) e do colesterol total, além de frações foram correlacionados aos níveis de PCR, utilizando-se análise de regressão multivariada. RESULTADOS: as portadoras da SOP apresentavam idade, IMC, circunferência abdominal, insulina de jejum, HOMA-IR, colesterol total e lipoproteína de baixa densidade (LDL) em concentrações plasmáticas superiores às do controle. Houve diferença significante nos níveis da PCRus entre o grupo da SOP (2,7±2,17 mg/dL) e o controle (1,6±1,49 mg/dL), p<0,05. Quando os níveis da PCRus foram categorizados em baixo (<1,0 mg/L), médio (1-3,0 mg/L) e elevado (3,0 mg/L) risco cardiovascular, 28,3% das portadoras da SOP apresentaram níveis da PCRus para baixo risco, 34,8% para médio e 37% para elevado risco cardiovascular. A prevalência da síndrome metabólica foi mais elevada entre as portadoras da SOP (30,4%), quando comparadas ao grupo controle (6,8%). Após o ajuste das variáveis de confusão, por um modelo de regressão linear multivariada stepwise, a presença da SOP mostrou efeito independente das outras variáveis sobre os níveis da PCRus. CONCLUSÕES: os níveis da PCRus foram mais elevados nas mulheres portadoras da SOP. A SOP tem efeito independente na determinação dos níveis plasmáticos da PCR.

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OBJETIVO: avaliar a influência dos indicadores antropométricos sobre os marcadores de risco cardiovascular e metabólico para doenças crônicas não-transmissíveis em mulheres na pós-menopausa. MÉTODOS: realizou-se estudo clínico transversal, com 120 mulheres sedentárias na pós-menopausa (com idades entre 45 e 70 anos e última menstruação há, pelo menos, 12 meses). Foram excluídas as diabéticas insulino-dependentes e usuárias de estatinas ou terapia hormonal até seis meses prévios. Para avaliação antropométrica, foram obtidos peso, estatura, índice de massa corpórea (IMC=peso/altura²) e circunferência da cintura (CC). As variáveis metabólicas avaliadas foram colesterol total (CT), HDL, LDL, triglicérides (TG), glicemia e insulina, para os cálculos do índice aterogênico plasmático (IAP) e resistência insulínica (Homeostasis model assessment-insulin resistance, HOMA-IR). Na análise estatística, utilizara-se análise de variância one-way (ANOVA) e Odds Ratio (OR). RESULTADOS: os dados médios caracterizaram amostra com sobrepeso, com obesidade central e dislipidêmica. Sobrepeso e obesidade estiveram presentes em 77,1% e deposição central de gordura ocorreu em 87,3% das participantes. Os valores médios de CT, LDL e TG estavam acima do recomendável em 67,8, 55,9 e 45,8% das mulheres, respectivamente, com HDL abaixo dos valores adequados em 40,7%. Valores de CC >88 cm ocorreram em 14,8% das mulheres eutróficas, 62,5% no grupo com sobrepeso e 100% nas obesas (p>0,05). Os valores médios de IAP, TG e HOMA-IR aumentaram significativamente com o aumento do IMC e da CC, enquanto que o HDL diminuiu (p<0,05). Na presença da CC >88 cm, encontrou-se risco de 5,8 (IC95%=2,3-14,8), 2,61 (IC95%=1,2-5,78), 3,4 (IC95%=1,2-9,7) e 3,6 (IC95%=1,3-10,3) para HDL reduzido, hipertrigliceridemia, IAP elevado e resistência a insulina, respectivamente (p<0,05). O IMC >30 kg/m² associou-se apenas com HDL reduzido (OR=3,1; IC95%=1,44-6,85). CONCLUSÕES: a associação de duas medidas antropométricas (CC e IMC) foi eficiente para adequado diagnóstico de obesidade relacionada a alterações metabólicas em mulheres na pós-menopausa. Contudo, a simples avaliação da CC pode ser indicativo do risco cardiovascular e metabólico das doenças crônicas não transmissíveis.

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OBJETIVOS: comparar os níveis sanguíneos de homocisteína em mulheres com e sem a síndrome dos ovários policísticos (SOP) e correlacioná-los com os parâmetros clínicos, hormonais e metabólicos. MÉTODOS: estudo tipo corte transversal com 110 mulheres: 56 com SOP e 54 controles normais. As pacientes foram submetidas à anamnese, exame físico e ultrassonografia pélvica, dosagens de homocisteína, da proteína C reativa (PCR), glicose, insulina, hormônio folículo-estimulante (FSH), hormônio luteinizante (LH), hormônio tireoide-estimulante (TSH), tiroxina livre (T4L), prolactina e testosterona.. Para análise estatística, foram usados os testes t de Student, χ2 e a correlação de Pearson. A realização da análise multivariada, pelo método "enter", foi utilizada para verificar a associação independente entre as variáveis. RESULTADOS: encontrou-se um aumento significativo na média dos níveis plasmáticos de homocisteína nas pacientes com SOP quando comparadas ao Grupo Controle (5,9±2,9 versus 5,1±1,3 µmol/L; p=0,01). Como era esperado, por fazerem parte do quadro clínico da SOP, o índice de massa corpórea, circunferência abdominal, colesterol total, colesterol HDL, triglicerídeos, insulina e HOMA também se mostraram com diferenças significativas entre os dois grupos. Houve correlação da SOP e do IMC com os níveis de homocisteína. A análise multivariada mostrou que a SOP por si só não se correlaciona com altos níveis de homocisteína. CONCLUSÕES: pacientes com SOP estão expostas a níveis significativamente altos de homocisteína, porém outros fatores intrínsecos à síndrome, e não identificados neste estudo, seriam os responsáveis por esta alteração.