Conference Paper: Serum Level of Sex Hormone-Binding Globulin Is a Good Independent Predictor of Metabolic Syndrome in Women with Polycystic Ovary Syndrome

TitleSerum Level of Sex Hormone-Binding Globulin Is a Good Independent Predictor of Metabolic Syndrome in Women with Polycystic Ovary Syndrome
Authors
Issue Date2014
PublisherThe Endocrine Society.
Citation
The 16th International Congress of Endocrinology and the 96th Annual Meeting & Expo of the Endocrine Society (ICE/ENDO 2014), Chicago, IL., 21-24 June 2014. How to Cite?
AbstractBackground: Polycystic ovary syndrome (PCOS), being a common reproductive endocrine disorder resulting in oligo-amenorrhoea and anovulatory subfertility, is also associated with the metabolic syndrome (MetS) which is an important long term health problem. Hyperandrogenism is a cardinal feature of PCOS. This study analysed the predictive value of the androgen indices on the occurrence of MetS in women with PCOS. Methods: We prospectively recruited 462 Hong Kong Chinese women diagnosed with PCOS by the Rotterdam criteria during April 2011 to March 2013. All subjects attended the clinic within the first 5 days of spontaneous or induced menstruation. Fasting serum was assayed for total testosterone, sex hormone-binding globulin (SHBG), anti-Mullerian hormone (AMH), glucose, insulin and lipid profile. Cross-sectional analyses of the clinical and biochemical parameters at recruitment were performed. MetS was defined according to the Joint Interim Statement (Alberti et al, 2009). Prediction of the occurrence of MetS by SHBG and free androgen index (FAI = 100 X total testosterone / SHBG) was determined using the receiver-operator characteristic (ROC) curve as well as the univariate and multivariate logistic regression analyses after controlling for body mass index (BMI) and HOMA-IR. Results: Out of the 462 recruited PCOS subjects, 72 (15.6%) had MetS at recruitment. Compared to those without MetS, subjects having MetS had significantly higher BMI, waist circumference, SHBG, FAI and HOMA-IR. There was no significant difference in age, total testosterone, antral follicle count (AFC) and AMH among the two groups. Area under the ROC curve of SHBG for prediction of MetS (0.863, 95% CI 0.828–0.893 was higher than that of FAI (0.804, 95% CI 0.765–0840, p=0.005). A cut-off SHBG level at 26 nmol/L gave a sensitivity of 89% and specificity of 75% in predicting MetS. Univariate binary logistic regression revealed that SHBG, FAI, BMI and HOMA-IR, but not total testosterone, mean AFC nor AMH, were significant predictors of MetS. Putting SHBG, BMI and HOMA-IR into a multivariate logistic regression model showed that SHBG (p=0.001), BMI (p<0.001) and HOMA-IR (p=0.004) all remained as significant independent predictors of MetS. Conclusions: Serum level of SHBG was a good independent predictor of MetS in women with PCOS after controlling for adiposity and insulin resistance measures.
DescriptionPoster Presentation
Session: SAT 0036-0066-Female Reproductive Endocrinology III Clinical/Translational
Persistent Identifierhttp://hdl.handle.net/10722/201290

 

DC FieldValueLanguage
dc.contributor.authorLi, RHWen_US
dc.contributor.authorLam, KSLen_US
dc.contributor.authorTam, Sen_US
dc.contributor.authorLee, VCYen_US
dc.contributor.authorYeung, TWYen_US
dc.contributor.authorCheung, PTen_US
dc.contributor.authorYeung, WSBen_US
dc.contributor.authorHo, PCen_US
dc.contributor.authorNg, EHYen_US
dc.date.accessioned2014-08-21T07:20:21Z-
dc.date.available2014-08-21T07:20:21Z-
dc.date.issued2014en_US
dc.identifier.citationThe 16th International Congress of Endocrinology and the 96th Annual Meeting & Expo of the Endocrine Society (ICE/ENDO 2014), Chicago, IL., 21-24 June 2014.en_US
dc.identifier.urihttp://hdl.handle.net/10722/201290-
dc.descriptionPoster Presentation-
dc.descriptionSession: SAT 0036-0066-Female Reproductive Endocrinology III Clinical/Translational-
dc.description.abstractBackground: Polycystic ovary syndrome (PCOS), being a common reproductive endocrine disorder resulting in oligo-amenorrhoea and anovulatory subfertility, is also associated with the metabolic syndrome (MetS) which is an important long term health problem. Hyperandrogenism is a cardinal feature of PCOS. This study analysed the predictive value of the androgen indices on the occurrence of MetS in women with PCOS. Methods: We prospectively recruited 462 Hong Kong Chinese women diagnosed with PCOS by the Rotterdam criteria during April 2011 to March 2013. All subjects attended the clinic within the first 5 days of spontaneous or induced menstruation. Fasting serum was assayed for total testosterone, sex hormone-binding globulin (SHBG), anti-Mullerian hormone (AMH), glucose, insulin and lipid profile. Cross-sectional analyses of the clinical and biochemical parameters at recruitment were performed. MetS was defined according to the Joint Interim Statement (Alberti et al, 2009). Prediction of the occurrence of MetS by SHBG and free androgen index (FAI = 100 X total testosterone / SHBG) was determined using the receiver-operator characteristic (ROC) curve as well as the univariate and multivariate logistic regression analyses after controlling for body mass index (BMI) and HOMA-IR. Results: Out of the 462 recruited PCOS subjects, 72 (15.6%) had MetS at recruitment. Compared to those without MetS, subjects having MetS had significantly higher BMI, waist circumference, SHBG, FAI and HOMA-IR. There was no significant difference in age, total testosterone, antral follicle count (AFC) and AMH among the two groups. Area under the ROC curve of SHBG for prediction of MetS (0.863, 95% CI 0.828–0.893 was higher than that of FAI (0.804, 95% CI 0.765–0840, p=0.005). A cut-off SHBG level at 26 nmol/L gave a sensitivity of 89% and specificity of 75% in predicting MetS. Univariate binary logistic regression revealed that SHBG, FAI, BMI and HOMA-IR, but not total testosterone, mean AFC nor AMH, were significant predictors of MetS. Putting SHBG, BMI and HOMA-IR into a multivariate logistic regression model showed that SHBG (p=0.001), BMI (p<0.001) and HOMA-IR (p=0.004) all remained as significant independent predictors of MetS. Conclusions: Serum level of SHBG was a good independent predictor of MetS in women with PCOS after controlling for adiposity and insulin resistance measures.-
dc.languageengen_US
dc.publisherThe Endocrine Society.-
dc.relation.ispartof16th International Congress of Endocrinology & 96th Annual Meeting & Expo of the Endocrine Society, ICE/ENDO 2014en_US
dc.titleSerum Level of Sex Hormone-Binding Globulin Is a Good Independent Predictor of Metabolic Syndrome in Women with Polycystic Ovary Syndromeen_US
dc.typeConference_Paperen_US
dc.identifier.emailLi, RHW: raymondli@hku.hken_US
dc.identifier.emailLam, KSL: ksllam@hku.hken_US
dc.identifier.emailTam, S: stam@hkucc.hku.hken_US
dc.identifier.emailLee, VCY: v200lee@hku.hken_US
dc.identifier.emailYeung, TWY: twyyeung@hku.hken_US
dc.identifier.emailCheung, PT: ptcheung@hku.hken_US
dc.identifier.emailYeung, WSB: wsbyeung@hkucc.hku.hken_US
dc.identifier.emailHo, PC: pcho@hku.hken_US
dc.identifier.emailNg, EHY: nghye@hku.hken_US
dc.identifier.authorityLi, RHW=rp01649en_US
dc.identifier.authorityLam, KSL=rp00343en_US
dc.identifier.authorityCheung, PT=rp00351en_US
dc.identifier.authorityYeung, WSB=rp00331en_US
dc.identifier.authorityHo, PC=rp00325en_US
dc.identifier.authorityNg, EHY=rp00426en_US
dc.identifier.hkuros234754en_US
dc.publisher.placeUnited States-

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