One hundred forty-two women with polycystic ovary syndrome (PCOS) with an average body mass index (BMI) of 29.1 kg/m(2) and average age of 25.12 years were studied. By BMI, 30.2% were normal, 38.0% were overweight and 31.6% were obese. Thirty-one eumenorrheic women matched for BMI and age, with no evidence of hyperandrogenism, were recruited as controls. The incidence of dyslipidemia in the PCOS group was twice that of the Control group (76.1% versus 32.25%). The most frequent abnormalities were low high-density lipoprotein cholesterol (HDL-C; 57.6%) and high triglyceride (TG) (28.3%). HDL-C was significantly lower in all subgroups of women with PCOS when compared to the subgroups of normal women. No significant differences were seen in the total cholesterol (p = 0.307), low-density lipoprotein cholesterol (LDL-C; p = 0.283) and TGs (p = 0.113) levels among the subgroups. An independent effect on HDL-C was detected for glucose (p = 0.004) and fasting insulin (p = 0.01); on TG for age (p = 0.003) and homeostatic model assessment insulin resistance (p = 0.03) and on total cholesterol and LDL-C for age (p = 0.02 and p = 0.033, respectively). In conclusion, dyslipidemia is common in women with PCOS, mainly due to low HDL-C levels. BMI has a significant impact on this abnormality.

The aim of this study was to determine the prevalence of metabolic syndrome in women with polycystic ovary syndrome, as well as its characteristics and predictors. Seventh-three women, with body mass index of 30.4 ± 7.8 kg/m 2 and 25.0 ± 6.0 years old, subdivided according to body mass index, were studied retrospectively. There was no significant mean age difference among body mass index groups (p = 0.228). Prevalence of metabolic syndrome was 38.4%, with a null prevalence for normal (n = 18), 23.8% for overweight (n = 17), 62.9% for obese (n = 28), and 85.5% for morbidly obese women (n = 7). Women with metabolic syndrome were older than women without metabolic syndrome (27.3 ± 5.3 vs. 24.2 ± 4.6 vs. years old; p = 0.031) and presented a higher body mass index (36.3 ± 7.7 vs. 26.9 ± 5.4; p < 0.001). There was no difference for degree of hirsutism and menstrual patterns between women with and without metabolic syndrome (p = 0.593 and p = 0.119, respectively). Regarding laboratory parameters, DHEAS was lower (1,646 ± 1,007 vs. 2,594 ± 1,563; p = 0.007) and HOMA-IR were higher (9.9 ± 9.7 vs. 4.6 ± 4.7; p = 0.004) in women with metabolic syndrome (p = 0.031 and p < 0.001, respectively). The best predictors of metabolic syndrome were waist circumference > 88 cm, HDL-cholesterol < 50 mg/dL and triglycerides ≥ 150 mg/dL. O objetivo deste estudo foi o de determinar a prevalência, características e preditores da síndrome metabólica em mulheres com a síndrome dos ovários policísticos. Setenta e três mulheres, com índice de massa corporal de 30,4 ± 7,8 kg/m 2 e 25,0 ± 6,0 anos de idade, subdivididas de acordo com o índice de massa corporal, foram estudadas retrospectivamente. Não se observou diferença significativa de idade entre os grupos (p = 0,228). A prevalência da síndrome metabólica foi de 38,4%, estando ausente nas mulheres com índice de massa corporal normal (n = 18) e presente em 23,8% das com sobrepeso (n = 17), 62,9% das obesas (n = 28) e 85,5% das obesas mórbidas (n = 7). Quando comparadas, as mulheres com síndrome metabólica apresentaram uma idade mais avançada (27,3 ± 5,3 vs. 24,2 ± 4,6 anos; p = 0,031) e um índice de massa corporal maior (36,3 ± 7,7 vs. 26,9 ± 5,4; p < 0,001) que as mulheres sem a síndrome, não havendo diferença significativa com relação ao grau de hirsutismo (p = 0,593) e padrão menstrual (p = 0,119). Com relação aos parâmetros laboratoriais, a concentração de DHEAS foi menor (1.646 ± 1.007 vs. 2.594 ± 1.563; p = 0,007) e o valor do HOMA-IR foi maior (9,9 ± 9,7 vs. 4,6 ± 4,7; p = 0,004) nas pacientes com a síndrome metabólica. Os melhores preditores para a presença da síndrome metabólica foram a circunferência abdominal > 88 cm, HDL-colesterol < 50 mg/dL e triglicérides ≥ 150 mg/dL.

In this group of patients, the main features contributing to the differential diagnosis of VOT and OH were serum levels of testosterone and gonadotropins and the presence of an ovarian nodule identified on the MRI. Although the association of clinical, hormonal and radiological features contributes to the differential diagnosis of these two conditions, histopathological analysis remains the gold standard for the diagnosis of ovarian hyperandrogenism in postmenopausal women.

Adrenal incidentaloma is not infrequent and can be found in hirsute women. We report a case of a 54-year-old woman with amenorrhea and hirsutism of abrupt onset and mild signs of virilization that had an adrenal incidentaloma coexisting with ovarian hyperthecosis. Basal total and free testosterone were 191 ng/dL and 179 pmol/L. Pelvic ultrasonography disclosed a right ovary with 10.3 cc and a left ovary with 9.8 cc without nodules or cysts, and computerized tomography of the abdomen disclosed a normal right adrenal gland. On the left adrenal gland a solid nodule with 0.8 cm was seen. After GnRHa administration, total testosterone was 23 ng/dL and free testosterone was 17 pmol/L. In view of a suppression of testosterone by GnRHa, the patient was submitted to a hystero-oophorectomy by laparoscopy. Symmetrically enlarged ovaries were seen. No tumor was apparent. Histology showed hyperthecosis, with foci of luteinized stromal cells. Only atretic follicles were detected. No hilar cell hyperplasia was seen. In conclusion, the presence of an adrenal mass in a hirsute woman can lead to a wrong diagnosis. In this case the suppression GnRHa test was fundamental to determine the origin of hyperandrogenemia.

Patients with polycystic ovary syndrome (PCOS) present a higher risk for abnormalities of glucose metabolism (AGM). For to study this in our population, we submitted 85 patients, with body mass index (BMI) of 28.5 ± 6.6 kg/m 2 and aged 25.5 ± 5.4 years old, to an oral glucose tolerance test (OGTT), and assessed the impact of BMI on the prevalence of impaired glucose tolerance (IGT) and of diabetes mellitus (DM). The states of glucose tolerance were classified considering fasting plasma glucose (FPG) according to the American Diabetes Association (ADA) criterion and plasma glucose at 120 minutes according to the Word Health Organization (WHO) criterion. According to the ADA criteria, 83.5% classified as normal and 16.5% as with AGM, with 15.3% presenting impaired fasting glucose and 1.2% DM, while according to the WHO criteria, 68.2% were classified as normal and 31.8% as with AGM, with 27.0% of them presenting IGT and 4.8% DM. Seventy-three percent of PCOS patients with IGT by WHO criterion had normal FPG by ADA criterion. The prevalence of AGM for both criteria increased with the body mass index. In conclusion, we found a higher prevalence of AGM in PCOS patients than that found in the general population, being the highest in obese patients. Glycemia at 120 minutes on the OGTT identified more patients with AGM than fasting glycemia. We recommended that the assessment of AGM must be done by the OGTT in all patients with PCOS. RESUMO Prevalência de Anormalidades do Metabolismo de Glicose em Pacientes com a Síndrome dos Ovários Policísticos.Pacientes com a síndrome dos ovários policísticos (SOP) têm um risco maior para desenvolver anormalidades do metabolismo da glicose (AMG). Para avaliarmos a prevalência dessas anormalidades na nossa população, submetemos 85 pacientes, com índice de massa corporal (IMC) de 28,5 ± 6,6 kg/m 2 e média etária de 25,5 ± 5,4 anos, a teste de tolerância oral à glicose (TTOG). Os estados de tolerância à glicose foram classificados considerando a glicemia de jejum (GJ; American Diabetes Association -ADA) e glicemia aos 120 minutos (G120; Organização Mundial de Saúde -OMS). De acordo com a ADA, 83,5% das pacientes foram normais e 16,5% com AMG, com 15,3% apresentando glicemia de jejum imprópria e 1,2% diabetes mellitus (DM). De acordo com a OMS, 68,2% foram normais e 31,8% com AMG, com 27,0% apresentando intolerância à glicose (IG) e 4,8% DM. Observamos que 73% das pacientes com IG pelos critérios da OMS apresentavam GJ normal pelos critérios da ADA. A prevalência de AMG para ambos os critérios foi maior entre as pacientes com IMC mais elevado. Conclusão: encontramos maior prevalência de AMG nas pacientes com a SOP do que na população geral, sendo mais elevada entre as pacientes obesas. Além disso, a G120 no TTOG identificou maior número de pacientes com AMG do que a GJ. Assim, recomendamos avaliação de AMG através do TTOG para todas as pacientes portadoras da SOP.

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obJectIve: the aim of this study was to evaluate the influence of polycystic ovary syndrome (pcos) and obesity on circulating markers of low-grade inflammation-tumor necrosis factoralpha (TNF-α), interleukin 6 (IL-6) and high sensitive C-reactive protein (hsCRP)-in young women without major cardiovascular (cv) risk factors (diabetes, dyslipidemia and arterial hypertension). desIGn: twenty-five young women with pcos and 23 eumenorrheic women without major cv risk factors and matched for body mass index (bmI) were studied. they were subdivided according to bmI and pcos status and comparisons were made between the pcos and control groups, regardless of bmI, and between the obese and Lean groups, regardless of the presence of PCOS. RESULTS: Levels of TNF-α, IL-6 and hsCRP were similar between the pcos group and the control group (2.1 vs 1.9 pg/ml, p=0.397, 3.8 vs 5.7 pg/ml, p=0.805 and 0.9 vs 0.5 ng/ml, p=0.361, respectively). Levels of TNF-α were similar between the obese group and the lean group (2.1 vs 1.9 pg/ml, p=0.444). Levels of IL-6 and hscrp were higher in the obese group than in the lean group (8.7 vs 2.0, p <0.001 and 1.4 vs 0.2 ng/ml, p <0.001, respectively). concLusIon: obesity, but not polycystic ovary syndrome, affects circulating markers of low-grade inflammation in young women without major cv risk factors.