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Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(12):562-568
DOI 10.1590/S0100-72032013001200006
PURPOSE: To assess the contribution of hyperandrogenism to the development of metabolic syndrome (MetS) in obese women with polycystic ovary syndrome (PCOS). METHODS: Retrospective cross-sectional study conducted on 60 obese women with classic PCOS phenotype - Rotterdam Consensus - and 70 non-PCOS obese women. MetS was diagnosed by the NCEP-ATP III criteria and obesity was defined by body mass index. The Ferriman-Gallwey score (mFG) was used to evaluate hirsutism. The following measurements were performed: total testosterone, dehydroepiandrosterone sulfate (DHEA-S), glucose and insulin, total cholesterol, HDL, and triglycerides. Insulin resistance was measured using the HOMA-IR and insulin sensitivity index of Matsuda and De Fronzo (ISI). Statistical analysis was performed using the Student's t-test, χ² test and multivariate logistic regression analysis (p<0.05). RESULTS: Obese women with PCOS had significantly higher mFG (15.4±6.1), waist circunference (105.6±11.4 cm), DHEA-S (200.8±109.2 µg/dL), testosterone (135.8±71.4 ng/dL), and HOMA-IR (8.4±8.5) values and lower ISI values (2.0±1.8) than non-obese PCOS women (3.2±2.1; 101.4±9.2 cm; 155.0±92.7 µg/dL; 50.0±18.2 ng/dL; 5.1±4.7 and 3.3±2.7, respectively) (p<0.05). The frequency of MetS was higher in PCOS obese (75%) than non-PCOS obese (52.8%) women (p=0.015). Multivariate analysis did not reveal the contribution of the variables IFG, testosterone, and DHEAS to the development of MetS (p>0.05). CONCLUSION: Obese women with PCOS have a higher frequency of metabolic syndrome than non-PCOS obese women, and hyperandrogenism does not contribute to the development of metabolic syndrome in this group of women.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(12):562-568
DOI 10.1590/S0100-72032013001200006
PURPOSE: To assess the contribution of hyperandrogenism to the development of metabolic syndrome (MetS) in obese women with polycystic ovary syndrome (PCOS). METHODS: Retrospective cross-sectional study conducted on 60 obese women with classic PCOS phenotype - Rotterdam Consensus - and 70 non-PCOS obese women. MetS was diagnosed by the NCEP-ATP III criteria and obesity was defined by body mass index. The Ferriman-Gallwey score (mFG) was used to evaluate hirsutism. The following measurements were performed: total testosterone, dehydroepiandrosterone sulfate (DHEA-S), glucose and insulin, total cholesterol, HDL, and triglycerides. Insulin resistance was measured using the HOMA-IR and insulin sensitivity index of Matsuda and De Fronzo (ISI). Statistical analysis was performed using the Student's t-test, χ² test and multivariate logistic regression analysis (p<0.05). RESULTS: Obese women with PCOS had significantly higher mFG (15.4±6.1), waist circunference (105.6±11.4 cm), DHEA-S (200.8±109.2 µg/dL), testosterone (135.8±71.4 ng/dL), and HOMA-IR (8.4±8.5) values and lower ISI values (2.0±1.8) than non-obese PCOS women (3.2±2.1; 101.4±9.2 cm; 155.0±92.7 µg/dL; 50.0±18.2 ng/dL; 5.1±4.7 and 3.3±2.7, respectively) (p<0.05). The frequency of MetS was higher in PCOS obese (75%) than non-PCOS obese (52.8%) women (p=0.015). Multivariate analysis did not reveal the contribution of the variables IFG, testosterone, and DHEAS to the development of MetS (p>0.05). CONCLUSION: Obese women with PCOS have a higher frequency of metabolic syndrome than non-PCOS obese women, and hyperandrogenism does not contribute to the development of metabolic syndrome in this group of women.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2012;34(2):74-79
DOI 10.1590/S0100-72032012000200006
PURPOSE: To analyze the prevalence of insulin resistance, according to different biochemical and anthropometric measurements in women with polycystic ovary syndrome. METHODS: A total of 189 patients with polycystic ovary syndrome were retrospectively analyzed. Insulin resistance diagnosis was performed using fasting insulin, HOMA-IR, QUICKI, insulin sensibility index and glucose/fasting insulin ratio. Body mass index and lipid accumulation product were used. Data were analyzed statistically by descriptive statistics, ANOVA, Tukey post-test, and Pearson's correlation. RESULTS: The polycystic ovary syndrome patients had a mean age of 24.9±5.2 and a mean body mass index of 31.8±7.6. The percentage of obese patients was 57.14%. Among the methods of insulin resistance investigation, the insulin sensibility index was the technique that most detected (56.4%) the presence of insulin resistance in women with polycystic ovary syndrome. The insulin resistance was detected in 87% of obese patients. The fasting glucose/fasting insulin ratio and insulin sensibility index were strongly correlated with lipid accumulation product. CONCLUSION: The prevalence of insulin resistance varied according to the method used, and it was greater the higher the body mass index. Lipid accumulation product was also related to insulin resistance.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2012;34(2):74-79
DOI 10.1590/S0100-72032012000200006
PURPOSE: To analyze the prevalence of insulin resistance, according to different biochemical and anthropometric measurements in women with polycystic ovary syndrome. METHODS: A total of 189 patients with polycystic ovary syndrome were retrospectively analyzed. Insulin resistance diagnosis was performed using fasting insulin, HOMA-IR, QUICKI, insulin sensibility index and glucose/fasting insulin ratio. Body mass index and lipid accumulation product were used. Data were analyzed statistically by descriptive statistics, ANOVA, Tukey post-test, and Pearson's correlation. RESULTS: The polycystic ovary syndrome patients had a mean age of 24.9±5.2 and a mean body mass index of 31.8±7.6. The percentage of obese patients was 57.14%. Among the methods of insulin resistance investigation, the insulin sensibility index was the technique that most detected (56.4%) the presence of insulin resistance in women with polycystic ovary syndrome. The insulin resistance was detected in 87% of obese patients. The fasting glucose/fasting insulin ratio and insulin sensibility index were strongly correlated with lipid accumulation product. CONCLUSION: The prevalence of insulin resistance varied according to the method used, and it was greater the higher the body mass index. Lipid accumulation product was also related to insulin resistance.