Gestational Diabetes Mellitus in the Setting of Polycystic Ovarian Syndrome: A Systematic Review

Gestational diabetes mellitus (GDM) is the most common complication of pregnancy that arises in the 2nd and 3rd trimesters, leading to significant complications for the mother and her neonates, such as an increased rate of pregnancy-induced hypertension and miscarriages, while neonates may have a large birth weight, hypoglycemia, or macrosomnia. Numerous risk factors can lead to GDM; however, a significant one is polycystic ovarian syndrome (PCOS). PCOS is the most common endocrine pathology beginning before puberty, and due to significant hormonal changes, it is not diagnosed until after puberty. PCOS requires at least three of the following symptoms: hyperandrogenism, menstrual irregularities, or polycystic ovary morphology. While it is agreed that women with PCOS are at a significantly increased risk of GDM, no publication to our knowledge has evaluated the full relationship of GDM in the setting of PCOS. This paper aimed to assess this relationship and determine how it may differ for pregnant women with only GDM by determining the prevalence of GDM, the variations within phenotypes, the influence of fertilization methods, specific risk factors, maternal outcomes, and neonatal outcomes. The prevalence of GDM was significantly increased in women with PCOS compared to healthy controls, and some studies have found that phenotype A may be more likely to lead to GDM. Risk factors were similar to pregnant women with only GDM, but with GDM and PCOS specifically, preconception low sex hormone-binding globulin, increased BMI > 25 kg/m2, and preconception impaired glucose tolerance were specific. While maternal outcomes were similar to pregnant women with only GDM, women with GDM and PCOS were even more likely to develop pregnancy-induced hypertension and early miscarriage. Neonates from mothers with GDM and PCOS were more likely to have low birth weights compared to mothers with just GDM who had high birth weights. The evaluation of the relationship between GDM and PCOS allows for illumination of the need to evaluate influences that currently lack research, such as phenotype variation and influences of fertilization method. This also promotes the need to develop predictive algorithms based on risk factors to prevent these adverse outcomes for mothers and neonates.

Progress of the application clinical prediction model in polycystic ovary syndrome

Clinical prediction models play an important role in the field of medicine. These can help predict the probability of an individual suffering from disease, complications, and treatment outcomes by applying specific methodologies. Polycystic ovary syndrome (PCOS) is a common disease with a high incidence rate, huge heterogeneity, short- and long-term complications, and complex treatments. In this systematic review study, we reviewed the progress of clinical prediction models in PCOS patients, including diagnosis and prediction models for PCOS complications and treatment outcomes. We aimed to provide ideas for medical researchers and clues for the management of PCOS. In the future, models with poor accuracy can be greatly improved by adding well-known parameters and validations, which will further expand our understanding of PCOS in terms of precision medicine. By developing a series of predictive models, we can make the definition of PCOS more accurate, which can improve the diagnosis of PCOS and reduce the likelihood of false positives and false negatives. It will also help discover complications earlier and treatment outcomes being known earlier, which can result in better outcomes for women with PCOS.

Distribution of normal and pathological OGTTs among pregnant population and non-pregnant women with PCOS - the cross-sectional study

Both pregnancy, as physiological, and polycystic ovary syndrome (PCOS), as a pathological condition, carry the risk for developing glucose metabolism abnormalities. In this retrospective cross-sectional study, we hypothesized that pregnancy as a physiological condition carries a higher likelihood for abnormal oral glucose tolerance test (OGTT) results than PCOS as a pathological condition.We have compared the prevalence and likelihood ratios for abnormal OGTT results between non-pregnant women with PCOS (Group A) and pregnant women at 24 to 28 weeks of gestation (Group B). Participants of both study groups underwent glucose tolerance testing with 75 g glucose OGTT. During the study period, 7411 women were tested, 3932 women encompassed Group A, and 3479 women comprised Group B.The numbers of yearly tested pregnant women and the corresponding proportion of tested women among all study participants have decreased during the study period, from 766 to 131 and 89.1% to 20.5%, respectively. Group A had a significantly lower prevalence (4.4%) of pathological OGTT results compared to Group B (8.1%). This has resulted in a 45.427 likelihood ratio (P < .001) for abnormal OGTT results in pregnant women compared to non-pregnant women with PCOS.We might conclude that pregnancy could have a more challenging influence on glucose metabolism and that carries higher risks for abnormal glucose metabolism than PCOS. The awareness of obstetricians regarding physiological changes during pregnancy that predisposes abnormal glucose metabolism is decreasing over time and the compliance concerning OGTT testing of pregnant women is decreasing too.

Management of Women with Polycystic Ovary Syndrome During Pregnancy

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy among reproductive age women and is associated with subfertility and adverse perinatal outcomes, which may include early pregnancy loss, gestational diabetes mellitus, hypertensive spectrum disorder, preterm birth, fetal growth disorders, and cesarean deliveries. The phenotypic heterogeneity, different diagnostic criteria, and PCOS-related conditions that women enter pregnancy with have limited evidenced-based studies and guidelines to reduce pregnancy complications among this high-risk population. This review summarizes the available evidence on the approach and management of women with PCOS preconception, prenatal, and postpartum.

Decreased Endometrial Thickness Is Associated With Higher Risk of Neonatal Complications in Women With Polycystic Ovary Syndrome

PURPOSE

To evaluate the association of endometrial thickness (EMT) with obstetric and neonatal outcomes in women with polycystic ovary syndrome (PCOS).

METHODS

A total of 1755 subfertile PCOS women with singleton livebirths after frozen-thawed embryo transfer were included between January 2009 and September 2019. Main obstetric outcomes were hypertensive disorders in pregnancy and abnormal placentation. Main neonatal outcomes were preterm birth (PTB), low birthweight (LBW) and small-for-gestational age (SGA). Crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were estimated by univariate and multivariate logistic regression analyses.

RESULTS

Each millimeter decrease in EMT was related to a 9% (adjusted OR 1.09, 95% CI 1.00-1.19; P = 0.053), 14% (adjusted OR 1.14, 95% CI 1.02-1.28; P = 0.002) and 22% (adjusted OR 1.22, 95% CI 1.07-1.38; P = 0.003) higher risk of PTB, LBW and SGA, respectively. Compared to women with EMT >13 mm, women with EMT ≤8 mm also had significantly higher risk of PTB (adjusted OR 3.79, 95% CI 1.53-9.39; P = 0.004), LBW (adjusted OR 4.33, 95% CI 1.39-13.50; P = 0.012) and SGA (adjusted OR 6.38, 95% CI 1.78-22.83; P = 0.004). These associations remained consistent in further subgroup analysis by endometrial preparation regimen and in sensitivity analyses among nulligravida women or women without adverse obstetric outcomes. No significant differences were found in the incidence of several pregnancy complications across EMT categories.

CONCLUSION

Decreased EMT was independently associated with increased risk of PTB, LBW and SGA in women with PCOS.

Maternal Overweight vs. Polycystic Ovary Syndrome: Disentangling Their Impact on Insulin Action in Pregnancy—A Prospective Study

Background: To investigate insulin sensitivity and glucose metabolism in pregnant lean and overweight polycystic ovary syndrome (PCOS) patients vs. lean and overweight controls without PCOS. Methods: Prospective cohort study on 67 pregnant women (31 with PCOS and 36 controls, subdivided into overweight or obese and normal weight). All women underwent a 2h-OGTT including glucose, insulin, and C-peptide in early- and mid-gestation and were followed-up until delivery. Results: Insulin sensitivity and glucometabolic parameters were comparable between PCOS patients and controls, whereas marked differences were observed between overweight/obese and lean mothers. Impaired whole-body insulin sensitivity at early pregnancy is mainly a consequence of higher BMI (body mass index; p < 0.001) compared to PCOS (p = 0.216), whereby no interaction between overweight/obesity and PCOS was observed (p = 0.194). Moreover, overweight was significantly associated with gestational diabetes (p = 0.0003), whereas there were no differences between women with and without PCOS (p = 0.51). Birth weight was inversely related to whole-body insulin sensitivity (rho = −0.33, p = 0.014) and positively associated with higher pregestational BMI (rho = 0.33, p = 0.012), whereas there was no association with PCOS. Conclusions: Impaired insulin action was mainly a consequence of overweight rather than PCOS. Our data suggest that overweight is more relevant than PCOS for the effects on insulin sensitivity and impaired glucose metabolism.

The comparison of the effectiveness and safety of drospirone ethinyl estradiol and ethinyl estradiol cyproterone in the treatment of polycystic ovarian syndrome: A protocol for systematic review and meta-analysis

BACKGROUND

Polycystic ovarian syndrome (PCOS) is an endocrine disorder syndrome with reproductive dysfunction and abnormal glucose metabolism. Persistent non-ovulation, excessive androgens and insulin resistance are important features and they are the most common causes of menstrual disorders in women during childbearing years. At present, the cause of PCOS is not clinically clear. Current studies suggest that it may be due to the interaction of certain genetic genes with environmental factors. It is an important cause of infertility or early miscarriage with the characteristics of various causes and complex clinical manifestations. At present, for the treatment of PCOS patients, clinical treatment mainly includes hypoglycemia, insulin and menstrual regulation and other symptomatic and supportive treatment. Drospirone ethinyl estradiol and ethinyl estradiol cyproterone are 2 of the most commonly used drugs in clinical treatment of PCOS, but there is lack of the evidence of evidence-based medicine. Therefore, this study systematically evaluates the therapeutic effect and safety of PCOS patients with 2 short-acting oral contraceptives, drospirone ethinyl estradiol and ethinyl estradiol cyproterone, which provides the guidance for clinically selecting the appropriate drug to treat PCOS.

METHODS

Searching CNKI, WanFang Data, VIP, SinoMed, PubMed, EMbase, Web of Science, and The Cochrane Library database by computer, collecting the randomized controlled studies of DEE and EEC in the treatment of PCOS. The retrieval time limit is from the establishment of each database to July 1, 2020. In addition, tracing the references incorporated into the literature to supplement to the relevant literature. Using the retrieval method by combining the free words and the subject words, and the individual search of different databases is carried out. Meta-analysis is performed using RevMan 5.3 software after 2 researchers independently screens the literature, extracts the data, and evaluates the bias risk included in the study.

RESULTS

This study will systematically evaluate the DEE and EEC in the treatment of PCOS by collecting the required evidence to understand the effects of the 2 drugs on hypersotrophicemia, insulin resistance, lipid metabolism, and the safety during drug use in patients of this class, and the results will be published in highly influential academic journals.

CONCLUSION

The results of this study will provide theoretical basis for the drug treatment of polycystic ovarian syndrome and provide help in the decision-making of clinical treatment of the disease.

ETHICS AND DISSEMINATION

In this study, meta-analysis was used to conduct a second study on the published literature. Therefore, this type of systematic review research does not need to be approved by ethics.

OSF REGISTRATION DOI

10.17605/OSF.IO/8GW9M.

Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis

BACKGROUND

Predictions in pregnancy care are complex because of interactions among multiple factors. Hence, pregnancy outcomes are not easily predicted by a single predictor using only one algorithm or modeling method.

OBJECTIVE

This study aims to review and compare the predictive performances between logistic regression (LR) and other machine learning algorithms for developing or validating a multivariable prognostic prediction model for pregnancy care to inform clinicians' decision making.

METHODS

Research articles from MEDLINE, Scopus, Web of Science, and Google Scholar were reviewed following several guidelines for a prognostic prediction study, including a risk of bias (ROB) assessment. We report the results based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies were primarily framed as PICOTS (population, index, comparator, outcomes, timing, and setting): Population: men or women in procreative management, pregnant women, and fetuses or newborns; Index: multivariable prognostic prediction models using non-LR algorithms for risk classification to inform clinicians' decision making; Comparator: the models applying an LR; Outcomes: pregnancy-related outcomes of procreation or pregnancy outcomes for pregnant women and fetuses or newborns; Timing: pre-, inter-, and peripregnancy periods (predictors), at the pregnancy, delivery, and either puerperal or neonatal period (outcome), and either short- or long-term prognoses (time interval); and Setting: primary care or hospital. The results were synthesized by reporting study characteristics and ROBs and by random effects modeling of the difference of the logit area under the receiver operating characteristic curve of each non-LR model compared with the LR model for the same pregnancy outcomes. We also reported between-study heterogeneity by using τ2 and I2.

RESULTS

Of the 2093 records, we included 142 studies for the systematic review and 62 studies for a meta-analysis. Most prediction models used LR (92/142, 64.8%) and artificial neural networks (20/142, 14.1%) among non-LR algorithms. Only 16.9% (24/142) of studies had a low ROB. A total of 2 non-LR algorithms from low ROB studies significantly outperformed LR. The first algorithm was a random forest for preterm delivery (logit AUROC 2.51, 95% CI 1.49-3.53; I2=86%; τ2=0.77) and pre-eclampsia (logit AUROC 1.2, 95% CI 0.72-1.67; I2=75%; τ2=0.09). The second algorithm was gradient boosting for cesarean section (logit AUROC 2.26, 95% CI 1.39-3.13; I2=75%; τ2=0.43) and gestational diabetes (logit AUROC 1.03, 95% CI 0.69-1.37; I2=83%; τ2=0.07).

CONCLUSIONS

Prediction models with the best performances across studies were not necessarily those that used LR but also used random forest and gradient boosting that also performed well. We recommend a reanalysis of existing LR models for several pregnancy outcomes by comparing them with those algorithms that apply standard guidelines.

TRIAL REGISTRATION

PROSPERO (International Prospective Register of Systematic Reviews) CRD42019136106; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=136106.

A mid-pregnancy risk prediction model for gestational diabetes mellitus based on the maternal status in combination with ultrasound and serological findings

Although previous studies have proposed predictive models of gestational diabetes mellitus (GDM) based on maternal status, they do not always provide reliable results. The present study aimed to create a novel model that included ultrasound data of maternal fat distribution and serum inflammatory factors. The clinical data of 1,158 pregnant women treated at Tangshan Gongren Hospital and eight other flagship hospitals in Tangshan, including the First Hospital of Tangshan Gongren Hospital group, Ninth Hospital of Tangshan Gongren Hospital group, Tangshan Gongren Hospital group rehabilitation hospital, Tangshan railway central hospital, Tangshan Gongren Hospital group Fengnan hospital, Tangshan Gongren Hospital group Qianan Yanshan hospital, Tangshan Gongren Hospital group Qianxi Kangli hospital and Tangshan Gongren Hospital group Jidong Sub-hospital, were analyzed following the division of subjects into GDM and non-GDM groups according to their diagnostic results at 24-28 weeks of pregnancy. Univariate analysis was performed to investigate the significance of the maternal clinical parameters for GDM diagnosis and a GDM prediction model was established using stepwise regression analysis. The predictive value of the model was evaluated using a Homer-Lemeshow goodness-of-fit test and a receiver operating characteristic curve (ROC). The model demonstrated that age, pre-pregnancy body mass index, a family history of diabetes mellitus, polycystic ovary syndrome, a history of GDM, high systolic pressures, glycosylated hemoglobin levels, triglyceride levels, total cholesterol levels, low-density lipoprotein cholesterol levels, serum hypersensitive C-reactive protein, increased subcutaneous fat thickness and visceral fat thickness were all correlated with an increased GDM risk (all P<0.01). The area under the curve value was 0.911 (95% CI, 0.893-0.930). Overall, the results indicated that the current model, which included ultrasound and serological data, may be a more effective predictor of GDM compared with other single predictor models. In conclusion, the present study developed a tool to determine the risk of GDM in pregnant women during the second trimester. This prediction model, based on various risk factors, demonstrated a high predictive value for the GDM occurrence in pregnant women in China and may prove useful in guiding future clinical practice.

Characteristics of polycystic ovary syndrome throughout life

Polycystic ovary syndrome is the most common endocrine disorder in women of reproductive age. It is a complex disease in which genetic, endocrine, environmental, and behavioral factors are intertwined, giving rise to a heterogeneous phenotype with reproductive, metabolic, and psychological characteristics. Polycystic ovary syndrome affects women’s health and their quality of life across the life course. During different life stages, the polycystic ovary syndrome phenotype can change, which requires a personalized diagnostic approach and treatment. Polycystic ovary syndrome is a major cause of anovulatory infertility; this disorder is also associated with hirsutism and acne. Diagnosing polycystic ovary syndrome during adolescence is challenging because the polycystic ovary syndrome criteria include normal physiological events that occur during puberty. With increasing age, the syndrome evolves from a reproductive disease to a more metabolic disorder. Along with metabolic disturbances, including insulin resistance and abnormalities of energy expenditure, polycystic ovary syndrome is recognized as a major risk factor for the development of type 2 diabetes and cardiovascular disease in later life. Moreover, there is evidence for familial clustering of endocrine and metabolic features of polycystic ovary syndrome. Environmental factors such as diet and obesity appear to contribute to the phenotype. Treatment should be tailored to the specific concerns and needs of the individual patient and involves restoring fertility, treatment of the metabolic complaints, treatment of androgen excess, and providing endometrial protection. The complexity of the disorder, and the impact on quality of life, requires a timely diagnosis, screening for complications, and management strategies for the long-term health issues associated with polycystic ovary syndrome. The syndrome remains underdiagnosed, and women experience significant delays to diagnosis.

Trends and predictors of gestational diabetes mellitus in Chile

OBJECTIVE

To examine the temporal trends in gestational diabetes mellitus (GDM) prevalence in Chile, and to determine the main predictors of GDM.

METHODS

A secondary analysis was conducted of all birth records at Hospital Dr. Sótero del Río, Chile, from January 1, 2002, to December 31, 2015. We excluded those women with pre-existing type 2 diabetes, those with missing data, and those with unlikely data. GDM was defined as fasting glucose levels >5.55 mmol/L [>100 mg/dL] or >7.77 mmol/L [>140 mg/dL] 2 hours after glucose load in the oral glucose tolerance test. Potential predictors were selected based on prior research and ease of evaluation.

RESULTS

From the original database of 100 758 records, 86 362 women were included in the final cohort. The mean GDM prevalence was 7.6% (95% CI [confidence interval] 7.5%-7.8%), increasing from 4.4% (95% CI 4.0%-4.9%) in 2002 to 13.0% (95% CI 12.0%-13.9%) in 2015. Age, education, marital status, parity, family history of type 2 diabetes, personal history of GDM, hypertension and pre-eclampsia, alcohol consumption, smoking, and pre-gestational nutritional status performed well in the prediction of GDM.

CONCLUSION

One out of eight Chilean pregnant women of medium- to low socio-economic status were found to develop GDM. We identified a set of easy-to-capture predictors in the primary health care system that may allow for the early identification of women at high-risk for the development of GDM.

A Narrative Review of Placental Contribution to Adverse Pregnancy Outcomes in Women With Polycystic Ovary Syndrome

CONTEXT

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy of reproductive-aged women. In pregnancy, women with PCOS experience increased risk of miscarriage, gestational diabetes, preeclampsia, and extremes of fetal birth weight, and their offspring are predisposed to reproductive and cardiometabolic dysfunction in adulthood. Pregnancy complications, adverse fetal outcomes, and developmental programming of long-term health risks are known to have placental origins. These findings highlight the plausibility of placental compromise in pregnancies of women with PCOS.

EVIDENCE SYNTHESIS

A comprehensive PubMed search was performed using terms "polycystic ovary syndrome," "placenta," "developmental programming," "hyperandrogenism," "androgen excess," "insulin resistance," "hyperinsulinemia," "pregnancy," and "pregnancy complications" in both human and animal experimental models.

CONCLUSIONS

There is limited human placental research specific to pregnancy of women with PCOS. Gestational androgen excess and insulin resistance are two clinical hallmarks of PCOS that may contribute to placental dysfunction and underlie the higher rates of maternal-fetal complications observed in pregnancies of women with PCOS. Additional research is needed to prevent adverse maternal and developmental outcomes in women with PCOS and their offspring.

Sex hormone binding globulin for prediction of gestational diabetes mellitus in pre-conception and pregnancy: A systematic review

AIM

The purpose of the present study was to assess the relationship of sex hormone binding globulin (SHBG) and gestational diabetes mellitus (GDM).

METHODS

The Cochrane Library, Medline, ScienceDirect, and Web of Science were searched for studies published from the inception of the databases up to February 2019. Our inclusion criteria were published observational full-text articles. All data were analyzed using Review Manager 5.3. Of 208 papers reviewed, 26 studies (n = 6668) were considered for meta-analysis.

RESULTS

The SHBG level was significantly lower in women with GDM compared to healthy women (MD = -11.86; 95% CI: [-13.02, -10.71]). Also, SHBG in women with PCOS and GDM and obesity was significantly lower than women with PCOS without GDM (MD = -38.14; 95% CI: [-56.79, -19.48]) and normal weight women (MD: -58.96; 95% CI: [-79.32, -38.59]). SHBG in the second trimester was lower than that in the first trimester and pre-conception.

CONCLUSIONS

This systematic review showed that the level of SHBG is significantly lower in GDM pregnant women than that in healthy women. The results of this systematic review about the relationship of GDM and SHBG and suggestion to assess this marker in early pregnancy should be considered with caution.

Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally

BACKGROUND

Patients suffering from polycystic ovary syndrome (PCOS) are often insulin resistant and at elevated risk for developing gestational diabetes mellitus (GDM). The aim of this study was to explore afamin, which can be determined preconceptionally to indicate patients who will subsequently develop GDM. Serum concentrations of afamin are altered in conditions of oxidative stress like insulin resistance (IR) and correlate with the gold standard of IR determination, the HOMA index.

METHODS

Afamin serum concentrations and the HOMA index were analyzed post hoc in 63 PCOS patients with live births. Patients were treated at Essen University Hospital, Germany, between 2009 and 2018. Mann-Whitney U test, T test, Spearman's correlation, linear regression models and receiver-operating characteristic (ROC) analyses were performed for statistical analysis.

RESULTS

Patients who developed GDM showed significantly higher HOMA and serum afamin values before their pregnancy (P < 0.001, respectively). ROCs for afamin concentrations showed an area under the curve of 0.78 (95% confidence interval (CI) 0.65-0.90) and of 0.77 (95% CI 0.64-0.89) for the HOMA index. An afamin threshold of 88.6 mg/L distinguished between women who will develop GDM and those who will not with a sensitivity of 79.3% and a specificity of 79.4%. A HOMA index of 2.5 showed a sensitivity of 65.5% and a specificity of 88.2%.

CONCLUSION

The HOMA index and its surrogate parameter afamin are able to identify pre-pregnant PCOS patients who are at risk to develop GDM. Serum afamin concentrations are independent of fasting status and therefore an easily determinable biomarker.

Pre-Conception Characteristics Predict Obstetrical and Neonatal Outcomes in Women With Polycystic Ovary Syndrome

CONTEXT

Women with polycystic ovary syndrome (PCOS) are at increased risk for obstetric and perinatal complications. At present, it is unknown how characteristics of PCOS relate to the likelihood of these complications.

OBJECTIVE

To evaluate which preconception features are associated with obstetric and perinatal disease among infertile women with PCOS.

DESIGN

Data from two prospective cohort studies completed from January 2004 until January 2014 were linked to Dutch Perinatal national registry outcomes.

SETTING

Two Dutch university medical centers.

PARTICIPANTS

2768 women diagnosed with PCOS were included. Participants underwent an extensive standardized preconception screening. Exclusion criteria included: age <18 years or >45 years, language barrier, or failure to meet PCOS criteria.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Outcome measures were obtained from the Dutch Perinatal national registry and included: preeclampsia, preterm delivery, small for gestational age (SGA), low Apgar score, and any adverse outcome.

RESULTS

1715 (62% of participants) women with PCOS were identified as undergoing a pregnancy with live birth after screening. In fully adjusted models, prepregnancy free androgen index was associated with subsequent preeclampsia [OR (95% CI), 1.1 (1.0 to 1.1)]. Fasting glucose [1.4 (1.2 to 1.7)] and testosterone [1.5 (1.2 to 1.7)] predicted preterm delivery. Fasting insulin [1.003 (1.001 to 1.005)], and testosterone [1.2 (1.1 to 1.4)] predicted any adverse outcome. SGA was only predicted by features nonspecific to PCOS.

CONCLUSIONS

Primary disease characteristics of PCOS, chiefly hyperandrogenism and impaired glucose tolerance, predict suboptimal obstetric and neonatal outcomes. Increased surveillance during pregnancy should focus on women with PCOS and these features to help mitigate disease risk.

Diagnostic Accuracy of Body Mass Index and Fasting Glucose for The Prediction of Gestational Diabetes Mellitus after Assisted Reproductive Technology

Background

The aim of the present study was to determine the maternal pre-pregnancy body mass index (BMI), first-trimester fasting blood sugar (FBS), and the combination of (BMI+FBS) cut-points for at-risk pregnant women conceived by assisted reproductive technology (ART) to better predict the risk of developing gestational diabetes mellitus (GDM) in infertile women.

Materials and Methods

In this nested case-control study, 270 singleton pregnant women consisted of 135 (GDM) and 135 (non-GDM) who conceived using ART were assessed. The diagnosis of GDM was confirmed by a one-step glucose tolerance test (O-GTT) using 75 g oral glucose. BMI was classified base on World Health Organization (WHO) criteria. The relationship between BMI, FBS, and BMI+FBS with the risk of GDM development was determined by logistic regression and adjusted for confounding factors. Receiver operating characteristic (ROC) curve analysis was performed to assess the value of BMI, FBS, and BMI+FBS for the prediction of GDM.

Results

The GDM group had significantly higher age, BMI, family history of diabetes, and history of polycystic ovary syndrome in comparison with the non-GDM group (P<0.05). Overweight and obese women had 3.27, and 5.14 folds increase in the odds of developing GDM, respectively. There was a 17% increase in the risk of developing GDM with each 1 mg/dl increase in fasting glucose level. The cut points for FBS 84.5 mg/dl (72.9% sensitivity, 74.4% specificity), BMI 25.4 kg/m² (68.9% sensitivity, 62.8% specificity), and BMI+FBS 111.2 (70.7% sensitivity, 80.6% specificity) was determined.

Conclusion

The early screening and high-quality prenatal care should be recommended upon the co-occurrence of high FBS (≥84.5 mg/dl) in the first-trimester of the pregnancy and the BMI (≥25.4 kg/m2) in pre-pregnancy period in women undergone ART. The combination of BMI and FBS is considered a better prediction value.

Metformin therapy before conception versus throughout the pregnancy and risk of gestational diabetes mellitus in women with polycystic ovary syndrome: a systemic review, meta-analysis and meta-regression

The results of studies that assessed the impact of metformin treatments on gestational diabetes mellitus (GDM) in patients with polycystic ovary syndrome (PCOS) are inconclusive. In addition, the impact of time and duration of metformin therapy for an optimum reduction of GDM has not been reported in these studies. This study aimed to summarize current knowledge regarding the effect of metformin-therapy before conception versus throughout pregnancy on the risk of GDM in women with PCOS. PubMed, Scopus, Google Scholar and ScienceDirect databases were searched to identify relevant studies. Both fixed and random effect models were used. Subgroup analyses were performed based on the on the study methodology. The association between the PCOS status and GDM was assessed using the univariate and multiple meta-regression analysis adjusted by the BMI and metformin therapy. Forty-eight of 1397 identified studies were included involving 5711 PCOS patients and 20,296 controls. Regardless of metformin therapy, the prevalence of GDM diagnosed in the second trimester among women with PCOS was significantly higher than healthy controls that was independent of obesity. Including all studies, the increased risk of GDM among women with PCOS, compared to healthy controls, disappeared after the adjustment of metformin-therapy (β = 0.08, 95% CI 0.04, 0.2; p = 0.624). By excluding observational studies as a source of bias, the prevalence of GDM among women with PCOS treated using metformin before conception till the end of pregnancy did not differ from treated just before conception (β = - 0.09, 95% CI - 0.2, 0.02; p = 0.092) or those without metformin therapy (β = - 0.05, 95% CI - 0.07, 0.04; p = 0.301). The results remained unchanged after the subgroup analysis based on the methodology of RCTs and non-RCTs studies. The main body of literature in the current meta-analysis was observational, which may be mixed with some sources of bias. Also, a lack of well-designed and high quality interventional studies means that the findings should be interpreted with cautious. In this respect, decisions regarding the continuation or discontinuation of metformin therapy in women with PCOS are somewhat arbitrary and can be made individually based on the patient's condition given the presence or absence of other GDM risk factors. Additional well-designed RCTs still need for precise recommendation.

Preconception risk of gestational diabetes: Development of a prediction model in nulliparous Australian women

AIM

To develop a prediction model for preconception identification of women at risk of gestational diabetes mellitus (GDM).

METHODS

Data from a prospective cohort, the Australian Longitudinal Study on Women's Health, were used. Nulliparous women aged 18-23 who reported a pregnancy up to age 37-42 were included. Preconception predictors of GDM during a first pregnancy were selected using logistic regression. Regression coefficients were multiplied by a shrinkage factor estimated with bootstrapping to improve prediction in external populations.

RESULTS

Among 6504 women, 314 (4.8%) developed GDM during their first pregnancy. The final prediction model included age at menarche, proposed age at future first pregnancy, ethnicity, body mass index, diet, physical activity, polycystic ovary syndrome, and family histories of type 1 or 2 diabetes and GDM. The model showed good discriminative ability with a C-statistic of 0.79 (95% CI 0.76, 0.83) after internal validation. More than half of the women (58%) were classified to be at risk of GDM (>2% predicted risk), with corresponding sensitivity and specificity values of 91% and 43%.

CONCLUSIONS

Nulliparous women at risk of GDM in a future first pregnancy can be accurately identified based on preconception lifestyle and health-related characteristics. Further studies are needed to test our model in other populations.

Association of vascular endothelial growth factor expression and polymorphisms with the risk of gestational diabetes mellitus

OBJECTIVE

To study the associations of vascular endothelial growth factor (VEGF) expression and its gene polymorphisms with the risk of gestational diabetes mellitus (GDM).

METHODS

A total of 239 GDM patients (GDM group) and 275 healthy pregnant women (Control group) were included in this study. VEGF genotypes (including rs2146323, rs2010963, rs3025039, rs3025010, and rs833069) were analyzed by TaqMan assay. ELISA was used to determine the serum VEGF levels. The software SHEsis was performed to analyze haplotypes.

RESULTS

The carrier with the rs2146323 AA, CA+AA genotypes, and A allele, as well as the rs3025039 CT, TT, CT+TT genotypes, and T allele showed the increased risk of GDM (all P < 0.05), but the distributions of genotype and allele at rs2010963, rs3025010, and rs833069 were not significantly different between GDM patients and controls (all P > 0.05). Notably, the frequency of rs2010963-rs833069-rs2146323-rs3025010 haplotypes CAAC, CAAT, CACC, CACT, GACT, and GGCT was found statistically different between GDM patients and controls (all P < 0.05). The patients with rs3025039 CT+TT genotype had higher VEGF levels than those with CC genotype (all P < 0.05). Besides, age, family histories of diabetes, previous GDM, hypertension, pre-pregnancy body mass index, fasting plasma glucose, fasting insulin, homeostasis model assessment (HOMA)-IR, rs2146323 CA+AA, rs3025039 CT+TT, and VEGF expression level were independent risk factors, while HOMA-β was an independent protective factor for GDM (all P < 0.05).

CONCLUSION

VEGF rs2146323 and rs3025039 polymorphisms and its expression were significantly correlated with the risk of GDM, providing a great clinical value for GDM assessment and diagnosis.

Incidence and risk factors for gestational diabetes mellitus in twin versus singleton pregnancies

OBJECTIVE

To compare the incidence and risk factors for gestational diabetes mellitus (GDM) between women with twin and singleton pregnancies.

METHODS

Retrospective study of all women who had a twin or singleton birth in Ontario (2012-2016). Risk ratios (RR) and 95% CIs for GDM (stratified by type of treatment) were adjusted for relevant confounding variables. Multivariable Poisson regression analysis was used to identify risk factors for GDM in twin and singleton gestations.

RESULTS

Of 270,843 women who met inclusion criteria, 266,942 (98.6%) and 3901 (1.4%) had a singleton and a twin pregnancy, respectively. Women with twins had a significantly higher risk for overall GDM (aRR = 1.13, 95% CI 1.01-1.28) and diet-treated GDM (aRR = 1.20, 95% CI 1.01-1.42) while the association with insulin-treated GDM was not significant (aRR = 1.07, 95% CI 0.89-1.28). Maternal age ≥ 35 years, non-Caucasian ethnicity and BMI > 30 kg/m² were independent risk factors for GDM among women with twins and singletons, and the magnitude of the association of these factors with GDM was similar.

CONCLUSIONS

Women with twins are at increased risk of GDM, mainly due to a higher rate of diet-treated GDM. Despite higher baseline risk of GDM in women with twins, the effect of known risk factors for GDM is similar to that observed in singletons.

A prospective cohort study of early-pregnancy risk factors for gestational diabetes in polycystic ovarian syndrome

BACKGROUND

Polycystic ovarian syndrome (PCOS) is a strong risk factor for gestational diabetes (GDM). However, the association between features of PCOS during early pregnancy and the risk of GDM is not clearly characterized. In this prospective cohort study, we seek to identify early-pregnancy risk factors for GDM in PCOS women.

METHODS

Between 2011 and 2013, 248 women with PCOS were followed from their first prenatal visit to delivery. Multiple early-pregnancy metabolic factors were evaluated for their association with the risk of GDM.

RESULTS

Among 248 subjects, 75 (30.2%) developed GDM. Single factor analysis identified a number of metabolic risk factors for GDM, including higher body mass index, fasting plasma glucose (FPG) and insulin resistance; abnormal cholesterol; elevated blood pressure and free androgen index; lower level of sex-hormone binding globulin (SHBG); and less gestational weight gain. Multivariate analysis showed that FPG, non-high-density lipoprotein-cholesterol and SHBG are independent predictive factors for GDM.

CONCLUSIONS

Our study established strong association of multiple early-pregnancy risk factors with development of GDM in PCOS women. These risk factors are predominantly related to the regulation of glucose, lipid, and androgen metabolism. Among these factors, FPG, non-high-density lipoprotein-cholesterol, and SHBG, predict incident GDM.

Effect of Preconception Impaired Glucose Tolerance on Pregnancy Outcomes in Women With Polycystic Ovary Syndrome

CONTEXT

Women with polycystic ovary syndrome (PCOS) commonly have intrinsic insulin resistance and are recommended to undergo an oral glucose tolerance test (OGTT) for diabetes screening. However, the effect of preconception impaired glucose tolerance (IGT) on pregnancy is still unclear.

OBJECTIVE

To prospectively assess the effect of preconception IGT on pregnancy outcomes.

DESIGN, SETTING, PATIENTS, INTERVENTIONS, AND MAIN OUTCOME MEASURES

This was a secondary analysis of a multicenter randomized trial in 1508 women with PCOS comparing live birth and obstetric complications between fresh and frozen embryo transfer. At baseline, fasting and 2-hour glucose and insulin levels after 75-g OGTT were measured.

RESULTS

Women with preconception IGT had higher risks of gestational diabetes in both singleton pregnancy [9.5% vs 3.2%; odds ratio (OR) 3.13; 95% confidence interval (CI) 1.23to 7.69] and twin pregnancy (20.0% vs 3.2%; OR 7.69; 95% CI 2.78 to 20.00) than women with normoglycemia. Preconception IGT was associated with a higher risk of large for gestational age in singleton newborns compared with normoglycemia (34.7% vs 19.8%; OR 2.13; 95% CI 1.19 to 3.85) or isolated impaired fasting glucose (i-IFG) (34.7% vs 15.4%; OR 2.94; 95% CI 1.33 to 6.25). Women with preconception IGT had a higher singleton pregnancy loss rate than women with i-IFG (31.4% vs 17.5%; OR 2.17; 95% CI 1.11 to 4.17). After adjusting for age, body mass index, duration of infertility, total testosterone level, and treatment groups (frozen vs fresh embryo transfer), these associations remained.

CONCLUSIONS

Preconception IGT, independent from BMI, was associated with adverse pregnancy outcome compared with i-IFG and normoglycemia.

Valuable predictors of gestational diabetes mellitus in infertile Chinese women with polycystic ovary syndrome: a prospective cohort study

OBJECTIVE

This study aimed to explore valuable preconception predictors of gestational diabetes mellitus (GDM) in PCOS patients.

METHODS

A prospective cohort study enrolling infertile Chinese PCOS women treated with ovulation induction was performed. The endocrine, metabolic and physical features of all the patients were collected before pregnancy and then followed up to 6 weeks after delivery. The prevalence of GDM was determined during 24-28 gestational weeks. Logistic regression analysis and receiver operating characteristic (ROC) curves were applied to explore the risk factors and their predictive value for GDM.

RESULTS

A total of 94 infertile PCOS women who got singleton pregnancy by ovulation induction were enrolled in the study. Logistic regression analysis showed that the preconception insulin under the curve (IAUC) and sex hormone-binding globulin (SHBG) levels were two most significant risk factors for developing GDM (p = 0.014; p = 0.042, respectively). The area of SHBG and IAUC under the ROC curve were 0.806 (p < 0.001) and 0.775 (p = 0.001), respectively. The optimal cutoff values were failed to be calculated because of the limited group size.

CONCLUSIONS

Low SHBG level and hyperinsulinism were both strongly associated with the development of GDM and might be two valuable predictors in PCOS patients.

Risk factors for preeclampsia in infertile Chinese women with polycystic ovary syndrome: A prospective cohort study

To explore preconception risk factors for preeclampsia (PE) in women with polycystic ovary syndrome (PCOS), a prospective cohort study was conducted in 92 infertile Chinese women with PCOS who had a singleton pregnancy by ovulation induction and were followed up for 6 weeks after delivery. The patients underwent assessment of physical, endocrine, and metabolic features before ovulation induction. Fifteen (16.3%) patients were diagnosed with PE. Logistic regression analysis showed that preconception sex hormone–binding globulin (SHBG), insulin level at 120 minutes, and body mass index were three independent risk factors for PE (odds ratio [OR], 0.981; 95% confidence interval [CI], 0.964–0.998 [P=.027]; OR, 1.011; 95% CI, 1.000–1.021 [P=.048]; and OR, 1.249; 95% CI, 0.992–1.572 [P=.059], respectively). Receiver operator characteristic analysis indicated the risk value of prepregnancy SHBG, insulin level at 120 minutes, and body mass index (area under the curve=.788, .686, and .697, respectively). Preconception low SHBG levels, overweight/obesity, and hyperinsulinism might be correlated with the subsequent development of PE in patients with PCOS.

Association between polycystic ovary syndrome and the risk of pregnancy complications: A PRISMA-compliant systematic review and meta-analysis

BACKGROUND

Polycystic ovary syndrome (PCOS) is inconsistently associated with increased risk of adverse pregnancy outcomes. The purpose of this meta-analysis was to summarize the evidence regarding the strength of the association between pregnancy in women with PCOS and pregnancy complications.

METHODS

We systematically searched PubMed, EmBase, and the Cochrane Library to identify observational studies up to January 2016. The primary focus was pregnancy outcomes, including gestational diabetes mellitus (GDM), preeclampsia, pregnancy-induced hypertension (PIH), preterm delivery, cesarean delivery, oligohydramnios, and polyhydramnios. Effect estimates were pooled using the random-effects model. The analysis was further stratified by factors that could affect these associations.

RESULTS

We included 40 observational studies that reported data on a total of 17,816 pregnancies with PCOS and 123,756 pregnancies without PCOS. Overall, PCOS in pregnancy was associated with greater risk of GDM, preeclampsia, PIH, preterm delivery, cesarean delivery, miscarriage, hypoglycemia, and perinatal death. However, PCOS in pregnancy had little or no effect on oligohydramnios, polyhydramnios, large-for-gestational age (LGA), small-for-gestational-age (SGA), fetal growth restriction (FGR), preterm premature membrane rupture, fasting blood glucose (FBG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglyceride, total cholesterol, congenital malformation, macrosomia, and respiratory distress syndrome. Subgroup analysis suggested that these associations might be influenced by study design and pre-BMI.

CONCLUSION

PCOS in pregnancy is associated with a significantly increased risk of adverse pregnancy, fetal, and neonatal outcomes.

Endocrine and cardiometabolic cord blood characteristics of offspring born to mothers with and without polycystic ovary syndrome

OBJECTIVE

To compare the endocrine and cardiometabolic cord blood characteristics of offspring of mothers with polycystic ovary syndrome (PCOS) with those of healthy controls.

DESIGN

Cross-sectional case control study.

SETTING

University medical centers.

PATIENT(S)

Offspring from mothers with PCOS (n = 61) and healthy controls (n = 82).

INTERVENTION(S)

Cord blood withdrawal from neonates.

MAIN OUTCOME MEASURE(S)

Cord blood estradiol, androstenedione, dehydroepiandrosterone sulfate (DHEAS), testosterone, sex hormone-binding globulin, free androgen index (FAI), insulin, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, c-reactive protein, adiponectin, and leptin.

RESULT(S)

Androstenedione and leptin concentrations were increased in the offspring of women with PCOS compared with the controls: androstenedione median 2.9 (interquartile range [IQR] 2.3-3.9) nmol/L vs. 2.2 [IQR 1.6-2.7] nmol/L; and leptin median 13.6 [IQR 8.3-22.9] μg/L vs. 9.8 [IQR 6.0-16.5] μg/L. After adjusting for maternal and pregnancy-related confounders (such as maternal age, gestational age, birth weight), androstenedione appeared associated with PCOS in both male (relative change 1.36 [1.04; 1.78]) and female offspring (relative change 1.40 [1.08; 1.82]). Similarly, in male offspring the leptin concentrations appeared associated with PCOS after correction for confounders (relative change 1.55 [1.12; 2.14]). After correction for multiple testing, these associations attenuated.

CONCLUSION(S)

Observed results suggest that androstenedione concentrations are increased in the cord blood of male and female offspring of women with PCOS, although this requires confirmation. This finding would support the hypothesis that a maternal hyperandrogenic environment during pregnancy in women with PCOS may predispose their offspring to fetal hyperandrogenism. The potential associations between fetal hyperandrogenism and long-term health effects remain to be elucidated.

CLINICAL TRIAL REGISTRATION NUMBER

NCT00821379.

Female Reproductive Disorders, Diseases, and Costs of Exposure to Endocrine Disrupting Chemicals in the European Union

CONTEXT

A growing body of evidence suggests that endocrine-disrupting chemicals (EDCs) contribute to female reproductive disorders.

OBJECTIVE

To calculate the associated combined health care and economic costs attributable to specific EDC exposures within the European Union (EU).

DESIGN

An expert panel evaluated evidence for probability of causation using the Intergovernmental Panel on Climate Change weight-of-evidence characterization. Exposure-response relationships and reference levels were evaluated, and biomarker data were organized from carefully identified studies from the peer-reviewed literature to represent European exposure and approximate burden of disease as it occurred in 2010. Cost-of-illness estimation used multiple peer-reviewed sources.

SETTING, PATIENTS AND PARTICIPANTS AND INTERVENTION

Cost estimation was carried out from a societal perspective, ie, including direct costs (eg, treatment costs) and indirect costs such as productivity loss.

RESULTS

The most robust EDC-related data for female reproductive disorders exist for 1) diphenyldichloroethene-attributable fibroids and 2) phthalate-attributable endometriosis in Europe. In both cases, the strength of epidemiological evidence was rated as low and the toxicological evidence as moderate, with an assigned probability of causation of 20%–39%. Across the EU, attributable cases were estimated to be 56 700 and 145 000 women, respectively, with total combined economic and health care costs potentially reaching €163 million and €1.25 billion.

CONCLUSIONS

EDCs (diphenyldichloroethene and phthalates) may contribute substantially to the most common reproductive disorders in women, endometriosis and fibroids, costing nearly €1.5 billion annually. These estimates represent only EDCs for which there were sufficient epidemiologic studies and those with the highest probability of causation. These public health costs should be considered as the EU contemplates regulatory action on EDCs.

Risk for Gestational Diabetes Mellitus and Adverse Birth Outcomes in Chinese Women with Polycystic Ovary Syndrome

Objective. To examine the association of polycystic ovary syndrome (PCOS) in early pregnancy with gestational diabetes mellitus (GDM) and adverse birth outcomes. Methods. In this retrospective cohort study including 2389 pregnant women, the medical records of 352 women diagnosed with PCOS were evaluated. Outcomes included GDM, preterm birth, low birth weight, macrosomia, and being small and large for gestational age. Multivariable logistic regression models were used to examine the association of the risk for GDM and adverse birth outcomes with PCOS after adjusting for confounders. Results. Women previously diagnosed with PCOS had a higher risk of GDM (adjusted odds ratio [OR] 1.55, 95% confidence interval [CI]: 1.14-2.09). A strong association was seen between PCOS and preterm birth (adjusted OR 1.69, 95% CI: 1.08-2.67). On stratified analysis, the adjusted OR for GDM among women with PCOS undergoing assisted reproductive technology was 1.44 (95% CI: 1.03-1.92) and among women with PCOS who conceived spontaneously was 1.60 (1.18-2.15). No increased risk for other adverse birth outcomes was observed. Conclusions. Women with PCOS were more likely to experience GDM and preterm birth.

Placental characteristics in women with polycystic ovary syndrome

STUDY QUESTION

Are macroscopic and microscopic placental characteristics in a heterogeneous group of women diagnosed with polycystic ovary syndrome (PCOS) different from those of a low-risk general population?

SUMMARY ANSWER

Women with PCOS have significantly different microscopic placental characteristics compared with control women, independently from pregnancy complications.

WHAT IS KNOWN ALREADY

Non-obese women with PCOS who conceived spontaneously have a significantly reduced placental volume and weight, with more chronic villitis and intervillositis compared with healthy controls.

STUDY DESIGN, SIZE, DURATION

A subset of a large prospective cohort study of pregnant women with PCOS was used. Healthy (low-risk) women who delivered at term after an uncomplicated pregnancy were used as the reference population. The placentas of 73 women with PCOS were analysed and compared with 209 placentas of healthy women.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Placentas were collected after delivery from women with PCOS who were followed from prior to conception until delivery. The placentas were macroscopically and microscopically analysed and compared with placentas of healthy women with either a spontaneous start of labour who delivered at term or who had an elective Caesarean section.

MAIN RESULTS AND THE ROLE OF CHANCE

After adjusting for potential confounders, placentas from women with PCOS showed more chorioamnionitis (P < 0.001), funisitis (P = 0.019), villitis (P = 0.045), thrombosis (P = 0.018), infarction (P = 0.010), villous immaturity (P = 0.009) and nucleated fetal red blood cells (P < 0.001). In a subgroup analysis, among women with and without pregnancy complications within the PCOS group, only the occurrence of thrombosis was increased in pregnancies complicated by pregnancy-induced hypertension or pre-eclampsia (30%, versus 0% in gestational diabetes pregnancies and 13% in uncomplicated pregnancies; P = 0.008).

LIMITATIONS, REASONS FOR CAUTION

There might be a small proportion of women with PCOS in the reference group, since this group was not screened for PCOS. As a result, the observed difference may be an underestimation of the true difference. Placentas were stored for up to 72 h at 4°C, this is common practice but some degenerative changes cannot be ruled out absolutely. Also, there is possibility that baseline differences between the groups may in part explain some of the differences in placental pathology.

WIDER IMPLICATIONS OF THE FINDINGS

Our findings suggest that, in general, women with PCOS can have placental alterations associated with an increased hypoxic state, which seems not to be caused by the increased incidence of pregnancy complications.

Complications and challenges associated with polycystic ovary syndrome: current perspectives

Polycystic ovary syndrome (PCOS) represents the most common endocrine dysfunction in fertile women and it is considered a heterogeneous and multifaceted disorder, with multiple reproductive and metabolic phenotypes which differently affect the early- and long-term syndrome’s risks. Women with PCOS present an adverse reproductive profile, including a high risk of pregnancy-induced hypertension, preeclampsia, and gestational diabetes mellitus. Patients with PCOS present not only a higher prevalence of classic cardiovascular risk factors, such as hypertension, dyslipidemia, and type-2 diabetes mellitus, but also of nonclassic cardiovascular risk factors, including mood disorders, such as depression and anxiety. Moreover, at the moment, clinical data on cardiovascular morbidity and mortality in women with PCOS are controversial. Finally, women with PCOS show an increased risk of endometrial cancer compared to non-PCOS healthy women, particularly during premenopausal period. Currently, we are unable to clarify if the increased PCOS early- and long-term risks are totally due to PCOS per se or mostly due to obesity, in particular visceral obesity, that characterized the majority of PCOS patients. In any case, the main endocrine and gynecological scientific societies agree to consider women with PCOS at increased risk of obstetric, cardiometabolic, oncology, and psychological complications throughout life, and it is recommended that these women be accurately assessed with periodic follow-up.

Developmental programming: exposure to testosterone excess disrupts steroidal and metabolic environment in pregnant sheep

Gestational exposure to excess T leads to intrauterine growth restriction, low birth weight, and adult metabolic/reproductive disorders in female sheep. We hypothesized that as early mediators of such disruptions, gestational T disrupts steroidal and metabolic homeostasis in both the mother and fetus by both androgenic and metabolic pathways. Maternal blood samples were measured weekly for levels of insulin, glucose, and progesterone from four groups of animals: control; gestational T (twice weekly im injections of 100 mg of T propionate from d 30 to d 90 of gestation); T plus an androgen antagonist, flutamide (15 mg/kg·d oral; T-Flutamide); and T plus the insulin sensitizer, rosiglitazone (0.11 mg/kg·d oral; T-Rosi) (n = 10-12/group). On day 90 of gestation, maternal and umbilical cord samples were collected after a 48-hour fast from a subset (n = 6/group) for the measurement of steroids, free fatty acids, amino acids, and acylcarnitines. Gestational T decreased maternal progesterone levels by 36.5% (P < .05), which was prevented by flutamide showing direct androgenic mediation. Gestational T also augmented maternal insulin levels and decreased medium chained acylcarnitines, suggesting increased mitochondrial fatty acid oxidation. These changes were prevented by rosiglitazone, suggesting alterations in maternal fuel use. Gestational T-induced increases in fetal estradiol were not prevented by either cotreatment. Gestational T disrupted associations of steroids with metabolites and progesterone with acylcarnitines, which was prevented either by androgen antagonist or insulin sensitizer cotreatment. These findings suggest a future combination of these treatments might be required to prevent alteration in maternal/fetal steroidal and metabolic milieu(s).

Insulin action in women with polycystic ovary syndrome and its relation to gestational diabetes

STUDY QUESTION

How does insulin action change during pregnancy in women with polycystic ovary syndrome (PCOS) who develop gestational diabetes (GDM) compared with women with PCOS who do not?

SUMMARY ANSWER

Women with PCOS who develop GDM already show disturbed insulin action early in pregnancy.

WHAT IS KNOWN ALREADY

Pregnant women with PCOS are at increased risk of developing GDM compared with women without PCOS.

STUDY DESIGN, SIZE, DURATION

This study represents a post hoc analysis of a subgroup of pregnant women with PCOS participating in a multicentre prospective cohort study. A total of 72 women were included.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Women with PCOS and a wish to conceive were included before conception and followed during pregnancy. Insulin, glucose, homeostasis model assessment of insulin resistance (HOMA-IR), sex hormone-binding globulin (SHBG) and testosterone were analysed at three different time points in women who developed GDM and women who did not.

MAIN RESULTS AND THE ROLE OF CHANCE

Seventy-two pregnant women with PCOS were included of which 22 (31%) women developed GDM. Both insulin levels and HOMA-IR were significantly higher at each sampling point in women with PCOS who developed GDM. SHBG levels were significantly lower before conception and in the second trimester compared with women who did not develop GDM. Testosterone concentrations were significantly lower before conception in women who developed GDM. After adjusting for BMI, waist circumference and waist/hip ratio, the differences in insulin, HOMA-IR, SHBG and testosterone levels remained largely the same.

LIMITATIONS, REASONS FOR CAUTION

Selection bias cannot be excluded since only women from one centre with a complete blood sampling set were included in this study.

WIDER IMPLICATIONS OF THE FINDINGS

The knowledge that women with PCOS who develop GDM already have a disturbed insulin action early in pregnancy is likely to be useful in considering the pathophysiology processes underlying this disorder in this specific group of women.

STUDY FUNDING/COMPETING INTERESTS

This study was funded by the Child Health research programme of the University Medical Centre Utrecht. M.A.d.W., A.J.G., S.M.V.-V., A.F. and M.P.H.K. have no conflicts of interest to disclose. M.J.C.E. 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. The authors declare complete independence from funders.

TRIAL REGISTRATION NUMBER

Clinicaltrials.gov, number NCT00821379.