Preconception predictors of gestational diabetes: a multicentre prospective cohort study on the predominant complication of pregnancy in polycystic ovary syndrome.

STUDY QUESTION: Can we develop an adequate preconception prediction model to identify those women with polycystic ovary syndrome (PCOS) who have an increased risk of developing gestational diabetes mellitus (GDM) during subsequent pregnancy? STUDY ANSWER: The risk of developing GDM in women with PCOS can be adequately predicted prior to conception by a prediction model. WHAT IS KNOWN ALREADY: Women with PCOS are at increased risk of pregnancy complications, especially GDM. GDM has serious short-term and long-term effects on mother and baby. STUDY DESIGN, SIZE, DURATION: This study is a part of a multicentre prospective cohort study, which was conducted between April 2008 and April 2012. A total of 326 women with PCOS were included. PARTICIPANTS/MATERIALS, SETTING, METHODS: Women with PCOS and a wish to conceive were included prior to conception and followed until 6 weeks after delivery. Maternal, neonatal and birth complications were reported. A multivariate model was developed to predict the most common pregnancy complication, GDM, by using univariate and multivariate logistic regression of preconception patient characteristics. The area under the curve (AUC) of the receiver-operating characteristic was used to test the performance of the model. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 189 women (58%) achieved an ongoing pregnancy (8% multiples) and delivered a live-born neonate. One or two maternal complications occurred in 62 (33%) pregnant women, mainly GDM (n = 41; 22%) and pregnancy-induced hypertension (n = 14; 7%). In children, one or two complications were observed in 49 (26%) of 206 children born, e.g. premature delivery (n = 23; 12%) and small for gestational age (n = 15; 8%). The preconception prediction model for GDM performed well (AUC 0.87, 95% CI 0.81-0.93). First-degree relatives with type 2 diabetes mellitus, serum levels of fasting glucose, fasting insulin, androstenedione and sex hormone-binding globulin before conception were identified as predictors. LIMITATIONS, REASONS FOR CAUTIONS: The prediction model has not yet been externally validated in another group of patients. Also, there were missing data for some of the determinants, which were accounted for by multiple imputation. WIDER IMPLICATIONS OF THE FINDINGS: Women with PCOS who achieve a pregnancy have an increased risk of GDM. The prediction model can be used to identify women particularly at risk for GDM who should be monitored closely to enable preventative measures that may reduce the risk of developing GDM and its adverse consequences. STUDY FUNDING/COMPETING INTEREST(S): No external funding was used for the study. M.A.W., S.M.V.V., A.J.G., A.F. and M.P.H.K. have nothing to disclose. C.B.L has received fees and grant support from the following companies (in alphabetic order): Auxogen, European Society of Human Reproduction and Embryology and MSD. J.S.E.L. has received fees and grant support from the following companies (in alphabetic order): Ferring, Gennovum, Merck-Serono, MSD, Organon, Schering Plough, Sharp & Dome and Serono. M.J.C. has received grant support from the following companies (in alphabetic order): Illumina and MSD. B.C.J.M.F. has received fees and grant support from the following companies (in alphabetic order): Ferring, Ova-Science, PregLem SA, Roche and Watson Laboratories. TRIAL REGISTRATION NUMBER: NCT00821379 [Clinicaltrials.gov].

Clinical outcomes in relation to the daily dose of recombinant follicle-stimulating hormone for ovarian stimulation in in vitro fertilization in presumed normal responders younger than 39 years: a meta-analysis.

BACKGROUND: The optimal ovarian stimulation dose to obtain the best balance between the probability of pregnancy and the risk of complications, while maximizing cost-effectiveness of in vitro fertilization (IVF) treatment, is yet to be established. METHODS: A systematic search of the electronic databases PubMed, EMBASE and Cochrane library, from 1984 until October 2009 for randomized controlled trials comparing different doses of recombinant FSH in IVF, was performed. RESULTS: Ten studies (totaling 1952 IVF cycles) were included in the present meta-analysis, comprising patients younger than 39 years with regular menstrual cycle, normal basal FSH levels and two normal ovaries. Comparison was made between studies using a daily dose of 100 versus 200 IU recFSH, and between 150 versus 200 IU recFSH or higher. Although oocyte yield was greater in the >200 IU/day dose group, pregnancy rates were similar compared with lower dose groups. The risk of insufficient response to ovarian stimulation was greatest in the 100 IU/day dose group. The risk of developing ovarian hyperstimulation syndrome was greater in the >200 IU/day dose group. The number of embryos available for cryopreservation was lowest in the 100 IU/day group, but similar comparing the 150 IU/day and the >200 IU/day dose groups. CONCLUSIONS: This meta-analysis suggests that the optimal daily recFSH stimulation dose is 150 IU/day in presumed normal responders younger than 39 years undergoing IVF. Compared with higher doses, this dose is associated with a slightly lower oocyte yield, but similar pregnancy and embryo cryopreservation rates. Furthermore, the wide spread adherence to this optimal dose will allow for a considerable reduction in IVF costs and complications.

Sex hormone-binding globulin concentrations before conception as a predictor for gestational diabetes in women with polycystic ovary syndrome.

BACKGROUND: Low plasma sex hormone-binding globulin (SHBG) concentrations during pregnancy have been associated with the risk of developing gestational diabetes mellitus (GDM). Women presenting with polycystic ovary syndrome (PCOS) often exhibit low plasma SHBG concentration and are at increased risk of developing GDM. In this study, we investigate whether SHBG levels before conception are predictive of GDM in women with PCOS. METHODS: A total of 50 women with PCOS were enrolled and followed up during pregnancy. Initial endocrine, metabolic and physical features were assessed according to a standardized preconception screening program. At 24-26 weeks of gestational age a 100-g glucose tolerance test was performed to screen for GDM. RESULTS: Of the 50 women, 21 (42%) were diagnosed with GDM by a 100-g glucose tolerance test. Waist circumference, BMI, blood pressure, plasma glucose, insulin, homeostasis model assessment-insulin resistance (HOMA-IR) and SHBG levels before conception were significantly different between women who did and did not develop GDM. Stepwise logistic regression analysis showed that SHBG was the most significant predictive parameter for GDM (odds ratio 0.92; 95% confidence interval 0.87-0.97), without significant contribution of waist circumference and HOMA-IR. Receiver operator characteristic (ROC) analysis indicated that plasma SHBG (area under the curve 0.86) had the highest predictive value for subsequent development of GDM, however, the limited group size did not allow for calculation of a threshold value of SHBG. CONCLUSIONS: In women with PCOS, preconception SHBG levels are strongly associated with subsequent development of GDM. Regression and ROC analysis show that preconception SHBG levels may be a better predictor for GDM in PCOS women compared with waist circumference or HOMA-IR. CLINICAL TRIAL REGISTRATION NUMBER: NCT00821379.