Prevalence of the metabolic syndrome and its components in Brazilian women with polycystic ovary syndrome

SOARES, Elvira Maria Mafaldo et al. Prevalence of the metabolic syndrome and its components in Brazilian women with polycystic ovary syndrome. Fertility and Sterility, v.89, n.3, p.649-655, mar. 2008

Síndrome metabólica e risco cardiovascular na pós- menopausa: avaliação por diferentes critérios diagnósticos e influência de fatores sócio-econômicos

The metabolic syndrome (MetS) involves a group of risk factors and is associated with a significantly higher risk of developing cardiovascular diseases (CVD) and type 2 diabetes. Recent studies have shown the importance of preventing CVD through early diagnosis and treatment of patients with MetS. The objective of our study was to determine the prevalence of MetS by different diagnostic criteria in postmenopausal women and analyze the influence of socioeconomic factors on cardiovascular risk in this sample of the population. A cross-sectional study involving 127 postmenopausal women (45 to 64 years) from Natal and Mossoró, Brazil. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte. The experimental protocol consisted of applying structured interview, clinical examination and implementation of dosages blood. The diagnosis of MetS was based on NCEP-ATP III (National Cholesterol Education Program-Adult Treatment Panel III) and IDF (International Diabetes Federation) criteria. The research was accomplished with the participation of an interdisciplinary team in their several phases. The result of the sample studied had mean age of 53.9 ± 4.6 years and per capita income of 54.5 dollars. The prevalence of MetS, according to NCEP-ATP III and IDF criteria, was 52.8% and 61.4$, respectively. The agreement rate between NCEP-ATP III and IDF criteria was 81.9%, with a kappa value of 0.63 (CI 95%, 0.49-0.76), indicating good agreement between the two definitions. The most prevalent cardiovascular risk factor was HDL < 50 mg/dl, observed in 96.1% of the women analyzed, followed by increased waist circumference (≥ 80 cm) in 78.0%, elevated blood pressure in 51.2%, triglycerides ≥ 150 mg/dl in 40.9% and glycemia ≥ 100 mg/dl in 37.0% of the women. The occurrence of MetS was significantly associated with schooling and body mass index (BMI). High blood pressure was significantly associated with low family income, low schooling and weight gain. There was no significant association between the intensity of climacteric symptomatology and the occurrence of MetS. The conclusions of the research were that MetS and its individual components show a high prevalence in postmenopausal Brazilian women, and significant associations with weight gain and low socioeconomic indicators. The data point to the need for an interdisciplinary approach at the basic health care level, directed toward the early identification of risk factors and the promotion of cardiovascular health of climacteric women.

Avaliação da prevalência de Síndrome Metabólica, Microalbuminúria e Risco Cardiovascular em mulheres com Síndrome dos Ovários Policísticos

Avaliar fatores de risco cardiovascular em mulheres brasileiras com síndrome dos ovários policísticos (SOP), através da utilização de múltiplos parâmetros, incluindo a determinação da prevalência de síndrome metabólica e seus componentes e pesquisa de microalbuminúria como marcador de um possível dano renal precoce nessas pacientes. Métodos: Foram avaliadas 102 mulheres de 20-34 anos de idade, com diagnóstico de SOP pelo Consenso de Rotterdam, tendo sido analisados parâmetros clínicos, antropométricos, bioquímicos e hormonais. Para diagnóstico de síndrome metabólica, foram adotados critérios do National Cholesterol Education Program s Adult Treatment Panel III (NCEP-ATP III). Para avaliação da microalbuminúria foi utilizada a relação albumina/creatinina (A/C), calculada a partir dos níveis de albumina e creatinina em amostra isolada de urina. Foram realizados testes estatísticos para avaliar associações e correlações entre variáveis, bem como comparação de médias ou medianas, adotando-se nível de significância de 5%. Resultados: A prevalência de síndrome metabólica foi de 28,4% (29 em 102 pacientes), estando associada ao aumento do índice de massa corporal (IMC). Quanto à análise da prevalência dos componentes individuais da síndrome metabólica, evidenciou-se: HDL-colesterol < 50 mg/dl em 69,6%, circunferência da cintura ≥ 88 cm em 57,9%, triglicerídeos ≥150 mg/dl em 31,7%, pressão arterial ≥130/85 mmHg em 18,6% e glicemia de jejum ≥110 mg/dl em 2,9%. Quando definida pelos limites convencionais para a relação A/C (3,5 35 mg/mmol), a microalbuminúria esteve presente em apenas três pacientes (3,3%). Entretanto, considerando diferentes limites de corte estabelecidos em recentes estudos que demonstraram aumento do risco cardiovascular associado a níveis muito baixos da relação A/C, a prevalência em mulheres com SOP foi alta, variando de 17,7 a 43,3% (para valores ≥ 0,58 e ≥ 0,37 mg/mmol, respectivamente). Mulheres com intolerância à glucose apresentaram nível significativamente mais elevado da relação A/C, quando comparadas às mulheres com normoglicemia. Os valores de microalbuminúria não apresentaram correlação significativa com IMC, níveis pressóricos, índices de sensibilidade insulínica ou perfil lipídico. Conclusões: Os dados evidenciam uma alta prevalência de síndrome metabólica e seus componentes individuais em mulheres brasileiras com SOP. Além do mais, observou-se elevado percentual de mulheres com níveis de excreção urinária de albumina em faixas significativamente associadas com aumento do risco para eventos cardiovasculares. Em conjunto, esses dados alertam para a necessidade da abordagem interdisciplinar e multidisciplinar das pacientes com SOP, visando à instituição de medidas voltadas para a prevenção primária cardiovascular

Dowscaling estocástico para extremos climáticos via interpolação espacial

Present day weather forecast models usually cannot provide realistic descriptions of local and particulary extreme weather conditions. However, for lead times of about a small number of days, they provide reliable forecast of the atmospheric circulation that encompasses the subscale processes leading to extremes. Hence, forecasts of extreme events can only be achieved through a combination of dynamical and statistical analysis methods, where a stable and significant statistical model based on prior physical reasoning establishes posterior statistical-dynamical model between the local extremes and the large scale circulation. Here we present the development and application of such a statistical model calibration on the besis of extreme value theory, in order to derive probabilistic forecast for extreme local temperature. The dowscaling applies to NCEP/NCAR re-analysis, in order to derive estimates of daily temperature at Brazilian northeastern region weather stations