Prevalence and characteristics of polycystic ovary syndrome in Brazilian women: protocol for a nation-wide case–control study

Spritzer, Poli Mara; Marchesan, Lucas Bandeira; Santos, Betânia Rodrigues dos; Oppermann, Karen; Reis, Rosana Maria dos; Ferriani, Rui Alberto; Weiss, Rita Vasconcellos; Meirelles, Ricardo M.R.; Cândido, Alexandre Luna; Reis, Fernando M.

doi:10.1136/bmjopen-2019-029191

Cited by 10 publications

(8 citation statements)

References 41 publications

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“…We believe that bringing together the data from all these studies may increase our understanding of the demographics of the Brazilian PCOS population while the results of a larger and prospective study are awaited. 58 Here, we show that, in the Brazilian PCOS population, the prevalences of insulin dysfunctions as well as of central adiposity, dyslipidemia, and metabolic syndrome were relatively equal in the different areas of the country. The main components of metabolic syndrome affecting our population were low HDL-C and higher central obesity;…”

Section: Discussionmentioning

confidence: 61%

“…Moreover, all studies were age and BMI matched and all were conducted in tertiary centers of the country, using overall similar diagnostic criteria for characterizing metabolic disturbances. We believe that bringing together the data from all these studies may increase our understanding of the demographics of the Brazilian PCOS population while the results of a larger and prospective study are awaited 58 …”

Section: Discussionmentioning

confidence: 99%

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Prevalence of metabolic disturbances among women with polycystic ovary syndrome in different regions of Brazil

Maffazioli

Lopes

Heinrich-Oliveira

et al. 2020

Intl J Gynecology & Obste

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Objective: To describe the prevalence of metabolic disturbances in a large cohort of women with polycystic ovary syndrome (PCOS) in southeastern Brazil and to compare the findings with other cohorts of Brazilian women with PCOS. Methods: A retrospective study analyzing clinical and laboratory data of 462 women with PCOS treated at an outpatient clinic in a tertiary hospital in southeastern Brazil. Prevalence of insulin resistance, glucose intolerance, type 2 diabetes, dyslipidemia, central obesity, hypertension, and metabolic syndrome was compared to that of other cohorts of age and body mass index-matched Brazilian women with PCOS. Results: Women with PCOS had a median age of 25.0 (21.0-29.0) years and BMI of 28.7 (23.9-34.0) kg/m 2. Prevalence of insulin resistance, glucose intolerance, and type 2 diabetes varied from 39.6% to 55.0%, 7.2% to 28.1%, and 2.0% to 4.1%, respectively. Prevalence of central obesity, dyslipidemia due to decreased high-density lipoprotein cholesterol, hypertriglyceridemia, and metabolic syndrome ranged from 57.8% to 66.4%, 54.1% to 70.4%, 22.9% to 35.1%, and 27.4% to 38.3%, respectively, which did not differ among regions in Brazil. Conclusion: Prevalence of metabolic disturbances was high among Brazilian women with PCOS. This study suggests that, from a public health perspective, authorities in Brazil should be aware of and encourage screening for metabolic dysfunction in women with PCOS in all regions of the country.

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Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Prevalence of metabolic disturbances among women with polycystic ovary syndrome in different regions of Brazil

Maffazioli

Lopes

Heinrich-Oliveira

et al. 2020

Intl J Gynecology & Obste

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“…The data regarding type 2 diabetes were too few for analysis, with only one study reporting a prevalence of diabetes of 3.6% in 195 Brazilian women with PCOS. Thus, further studies are needed in order to determine the frequency of diabetes in women with PCOS across the country [56]. In turn, the prevalence of impaired fasting glucose in PCOS women from the South and Northeast of Brazil was similar to that of Mediterranean countries [7] and lower than that observed in the U.S. [12][13][14].…”

Section: Discussionmentioning

confidence: 87%

Metabolic profile of women with PCOS in Brazil: a systematic review and meta-analysis

Spritzer

Ramos

Marchesan

et al. 2021

Diabetol Metab Syndr

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Background Polycystic ovary syndrome (PCOS) is a common endocrine disease affecting women of reproductive age and associated with reproductive and metabolic dysfunction. Few studies are available regarding metabolic traits in Brazilian women with PCOS. The aim of this systematic review and meta-analysis was to summarize the available evidence regarding metabolic traits and comorbidities in Brazilian women with polycystic ovary syndrome (PCOS). Methods We systematically searched PubMed, Cochrane Central Register of Controlled Trials, and Embase for cross-sectional, case–control, or cohort studies focusing on populations of different regions from Brazil, published until July 31, 2019. Studies were selected if they reported PCOS diagnostic criteria. Studies without a control group were included if they presented relevant metabolic data. Results Of 4856 studies initially identified, 27 were included in the systematic review and 12 were included in the meta-analysis, for a total of 995 women with PCOS defined by Rotterdam criteria and 2275 controls from different regions of Brazil. Obesity, metabolic syndrome and IGT were prevalent, and standard mean differences for BMI (SMD 0.67, 95% CI, 0.29, 1.05), waist circumference (SMD 0.22, 95% CI 0.02, 0.41), systolic (SMD 0.66, 95% CI 0.30, 1.01) and diastolic blood pressure (SMD 0.55, 95% CI 0.24, 0.87), glucose (SMD 0.21, 95% CI 0.04, 0.38) and HOMA (SMD 0.78, 95% CI 0.52, 1.04) were significantly higher in Brazilian women with PCOS compared to controls. Lipid profile was more adverse in PCOS vs. non-PCOS women. Between-study heterogeneities were low/moderate for glucose and HOMA and moderate/high for the other variables. Conclusions The data of this systematic review and meta-analysis indicate that Brazilian women with PCOS have a worse metabolic profile than women without PCOS with no important regional differences. The prevalence of metabolic changes is intermediate in Brazil vs. other countries.

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“…The use of other criteria based on the need for hyperandrogenism to define PCOS, such as the National Institute of Health (NIH) [4] and the Androgen Excess and PCOS Society (AE-PCOS) 2009 [5], provide different percentages in the establishment of PCOS prevalence in different countries. In Brazil, a country of mixed ethnicities, the prevalence of PCOS was partially determined [6]. Using the random effect model, the prevalence of PCOS among different ethnicities was reported to range from 5.6 % in China to 16 % in the Middle East [3].…”

Section: Introductionmentioning

confidence: 99%

Anthropometric, Metabolic, and Endocrine Parameters as Predictors of Estimated Average Glucose and Other Biomarkers of Dysglycemia in Women with Different Phenotypes of Polycystic Ovary Syndrome

de Medeiros,

Winck Yamamoto de Medeiros,

Souto de Medeiros

et al. 2023

Horm Metab Res

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To evaluate the efficacy of anthropometric, metabolic, and endocrine abnormalities as predictors of estimated average glucose and other biomarkers of dysglycemia in women with different phenotypes of polycystic ovary syndrome (PCOS). This cross-sectional study included 648 women with PCOS and 330 controls. A single protocol of investigation was applied for all subjects. PCOS women were divided by phenotypes according to the Rotterdam criteria. Biomarkers of dysglycemia were considered dependent variables and anthropometric, lipid, and hormone alterations as independent variables using univariate and multivariate logistic regressions. Univariate logistic regression analysis, controlled for age and BMI, showed that many biomarkers of dysglycemia could be predict by anthropometric, lipid, and endocrine variables. Multivariated logistic models showed that in non-PCOS women eAG was predicted by lower TSH levels (OR=0.39; p=0.045); fasting glucose was predicted by increased T (OR=2.3). For PCOS, phenotype A, eAG was predicted by decreased HDL-C (OR=0.17, p=0.023) and high levels of free estradiol (OR=7.1, p<0.001). Otherwise, in PCOS, phenotype D, eAG was predicted by higher levels of HDL-C. The current study demonstrated that eAG was poorly predicted by anthropometric, lipid and hormone parameters. Nevertheless, without adding significant benefits, it was comparable with other established markers of dysglycemia in women with different PCOS phenotypes.

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Prevalence and characteristics of polycystic ovary syndrome in Brazilian women: protocol for a nation-wide case–control study

Cited by 10 publications

References 41 publications

Prevalence of metabolic disturbances among women with polycystic ovary syndrome in different regions of Brazil

Prevalence of metabolic disturbances among women with polycystic ovary syndrome in different regions of Brazil

Metabolic profile of women with PCOS in Brazil: a systematic review and meta-analysis

Anthropometric, Metabolic, and Endocrine Parameters as Predictors of Estimated Average Glucose and Other Biomarkers of Dysglycemia in Women with Different Phenotypes of Polycystic Ovary Syndrome

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