IntroductionGestational diabetes mellitus (GDM) is a common disorder of pregnancy and contributes to adverse pregnancy outcomes. Metformin is often used for the prevention and management of GDM; ...however, its use in pregnancy continues to be debated. The Metformin in Pregnancy Study aims to use individual patient data (IPD) meta-analysis to clarify the efficacy and safety of metformin use in pregnancy and to identify relevant knowledge gaps.Methods and analysisMEDLINE, EMBASE and all Evidence-Based Medicine will be systematically searched for randomised controlled trials (RCT) testing the efficacy of metformin compared with placebo, usual care or other interventions in pregnant women. Two independent reviewers will assess eligibility using prespecified criteria and will conduct data extraction and quality appraisal of eligible studies. Authors of included trials will be contacted and asked to contribute IPD. Primary outcomes include maternal glycaemic parameters and GDM, as well as neonatal hypoglycaemia, anthropometry and gestational age at delivery. Other adverse maternal, birth and neonatal outcomes will be assessed as secondary outcomes. IPD from these RCTs will be harmonised and a two-step meta-analytic approach will be used to determine the efficacy and safety of metformin in pregnancy, with a priori adjustment for covariates and subgroups to examine effect moderators of treatment outcomes. Sensitivity analyses will assess heterogeneity, risk of bias and the impact of trials which have not provided IPD.Ethics and disseminationAll IPD will be deidentified and studies contributing IPD will have ethical approval from their respective local ethics committees. This study will provide robust evidence regarding the efficacy and safety of metformin use in pregnancy, and may identify subgroups of patients who may benefit most from this treatment modality. Findings will be published in peer-reviewed journals and disseminated at scientific meetings, providing much needed evidence to inform clinical and public health actions in this area.
Objective We compared the metabolic and cardiovascular parameters of a reference group of women with those of women who used 2 contraceptive regimes that are used worldwide: the ...levonorgestrel-releasing intrauterine device and oral contraceptives. Study Design We investigated a cohort of 2814 women at age 31 years from the general population-based Northern Finland Birth Cohort who were born in 1966. Women were classified as oral contraceptive users (n = 687 women), levonorgestrel-releasing intrauterine device users (n = 168 women), or no use of hormonal contraception (reference group; n = 1959 women). The analyses were adjusted for body mass index, current alcohol use, household income, and area of residence. Results Compared with the reference group, oral contraceptive users had higher systolic and diastolic blood pressure, raised levels of inflammatory indices (C-reactive protein), and impaired insulin sensitivity. Levonorgestrel-releasing intrauterine device users displayed a lower high-density lipoprotein and total cholesterol, but a similar cholesterol/ high-density lipoprotein ratio, and higher leukocyte count compared with the reference group. Oral contraception users were insulin-resistant compared with levonorgestrel-releasing intrauterine device users with higher blood pressure, raised lipid levels (such as total cholesterol and triglycerides) and insulin levels, and lower homeostasis model assessment and insulin sensitivity, despite smaller waist and lower waist-hip ratio. Conclusion Oral contraception usage was associated with adverse findings in several metabolic, cardiovascular, and inflammatory parameters, which is consistent with an increased future risk of cardiovascular and metabolic disease. These findings should invite more criticism of recent trends that encourage the prescription of oral contraceptives for years during reproductive life and especially in premenopausal women. In contrast, levonorgestrel-releasing intrauterine device or progestin-only pills may offer long-term health benefits over oral contraceptives and should be preferred to oral contraceptives for women in their forties and/or with metabolic risk factors for cardiovascular diseases and type 2 diabetes mellitus.
Objective Obesity is considered to be the strongest predictive factor for cardio-metabolic risk in women with polycystic ovary syndrome (PCOS). The aim of the study was to compare blood pressure (BP) ...in normal weight women with PCOS and controls matched for age and BMI. Methods From a Nordic cross-sectional base of 2615 individuals of Nordic ethnicity, we studied a sub cohort of 793 normal weight women with BMI < 25 kg/m2 (512 women with PCOS according to Rotterdam criteria and 281 age and BMI-matched controls). Participants underwent measurement of BP and body composition (BMI, waist-hip ratio), lipid status, and fasting BG. Data were presented as median (quartiles). Results The median age for women with PCOS were 28 (25, 32) years and median BMI was 22.2 (20.7, 23.4) kg/m2. Systolic BP was 118 (109, 128) mmHg in women with PCOS compared to 110 (105, 120) mmHg in controls and diastolic BP was 74 (67, 81) vs 70 (64, 75) mmHg, both P < 0.001. The prevalence of women with BP ≥ 140/90 mmHg was 11.1% (57/512) in women with PCOS vs 1.8% (5/281) in controls, P < 0.001. In women ≥ 35 years the prevalence of BP ≥ 140/90 mmHg was comparable in women with PCOS and controls (12.7% vs 9.8%, P = 0.6). Using multiple regression analyses, the strongest association with BP was found for age, waist circumference, and total cholesterol in women with PCOS. Conclusions Normal weight women with PCOS have higher BP than controls. BP and metabolic screening are relevant also in young normal weight women with PCOS.
Objective Serum levels of retinol-binding protein 4 (RBP4), an adipokine thought to affect systemic insulin sensitivity, were compared between women with polycystic ovary syndrome (PCOS) and non-PCOS ...controls to evaluate the association of RBP4 with clinical, hormonal and metabolic parameters of PCOS. Subjects and methods Serum RBP4 levels were analysed in 278 women with PCOS (age range 18–57 years) and 191 non-PCOS controls (age 20–53 years) by enzyme-linked immunosorbent assay. Results Serum levels of RBP4 were increased in women with PCOS compared with control women in the whole population (45.1 ± 24.0 (s.d.) vs 33.5 ± 18.3 mg/L, P < 0.001). Age-stratified analysis showed that serum RBP4 levels were increased in women with PCOS aged ≤30 years compared with controls (47.7 ± 23.5 vs 27.1 ± 10.4 mg/L, P < 0.001), whereas no significant differences were seen in the other age groups. No significant correlations of RBP4 were seen with either steroids or indices of insulin resistance. Conclusions Although serum RBP4 levels were increased in younger women with PCOS compared with age-matched non-PCOS controls, RBP4 does not seem to be a good marker of insulin resistance or other metabolic derangements in women with PCOS.
Abstract
STUDY QUESTION
What are the best practices for undertaking epidemiologic and phenotypic studies in polycystic ovary syndrome (PCOS)?
SUMMARY ANSWER
Best practices for the undertaking of ...epidemiologic and phenotypic studies in PCOS are outlined.
WHAT IS KNOWN ALREADY
Currently methodologies used for studies of PCOS epidemiology and phenotypes vary widely, and the comparability of studies is low, reducing the ability to harmonize studies.
STUDY DESIGN, SIZE, DURATION
The Androgen Excess and PCOS (AE-PCOS) Society established a Task Force to draft a research resource for epidemiologic and phenotypic studies in PCOS, with the aim of providing guidelines on study design and execution, insights into the limitations and alternatives and protocols to be used, taking into consideration a global perspective.
PARTICIPANTS/MATERIALS, SETTING, METHODS
A targeted review of the literature was carried out as necessary.
MAIN RESULTS AND THE ROLE OF CHANCE
High level recommendations include the following:
(i) Before initiating the study, a number of critical factors should be addressed including selecting the population and diagnostic criteria (which should ideally align with the recommendations of the International Guidelines), the type of observational study to be undertaken and the primary and secondary endpoint(s) of the study.(ii) To assess the ‘natural’ or true phenotype and epidemiology of PCOS, the least medically biased, broadest and most generalizable population, and the broadest definition of PCOS, should be used.(iii) Four PCOS phenotypes (Phenotypes A through D), based on the presence or absence of three general features (oligo-anovulation, hyperandrogenism and polycystic ovarian morphology), should be ascertained.(iv) In epidemiologic and phenotypic studies, the detection of PCOS rests on the accuracy and sensitivity of the methods used for assessing the individual features of the disorder, and how ‘normal’ is defined.(v) Although an assessment algorithm that minimizes the use of certain measures (e.g. androgen levels and/or ovarian ultrasonography) can be devised, when possible it is preferable to uniformly assess all subjects for all parameters of interest.
(vi) The inclusion of subjects in epidemiologic studies who do not appear to have PCOS (i.e. ‘non-PCOS’) will provide the necessary cohort to establish population-specific normative ranges for the various features of PCOS.
(vii) Epidemiologic studies of PCOS in unselected populations will yield relatively limited numbers of PCOS subjects available for genetic study; alternatively, large population-based epidemiologic studies of PCOS will potentially generate large numbers of unaffected individuals that may serve as genetic controls.
(viii) Epidemiologic studies of PCOS will benefit from a clear governance structure and should begin by informing, educating and engaging both the formal and informal leaders of the populations targeted for study.
(ix) In designing their study investigators should, in advance, establish statistical power and recognize, manage and account for inherent biases.
(x) Subjects suspected of having PCOS but who do not/cannot complete their evaluation (i.e. have ‘possible PCOS’) can be included by imputation, assigning them a ‘diagnostic weight’ based on those subjects of similar clinical phenotype that have completed the study.
(xi) In obtaining, storing and retrieving subject data, subjects should be assessed consecutively using a uniform data collection form; providing as complete and in depth data as possible.
(xii) Maintenance of both paper and electronic medical records should focus on ensuring data quality, accuracy and institutional ethical compliance, and familiarity with country-dependent laws, including biobanking-specific laws, tissue laws and research laws.
(xiii) In obtaining and biobanking study samples, these should be ideally collected at the time of the first assessment.
(xiv) Access to stored data sets should ideally be granted to other bona fide researchers conducting research in the public interest.
(xv) SOPs detailing the exact method of each of the activities for handling the data and the samples are necessary to ensure that all methods are performed uniformly.
(xvi) Epidemiologic studies of PCOS must be resourced adequately.
LIMITATIONS, REASONS FOR CAUTION
As with all reports involving expert interpretation of experiential and published data, inherent individual biases are possible. This risk is minimized in the present study by including experts from varying fields of study, aligning with recent international evidence-based guidelines and obtaining consensus approval of the recommendations from the Task Force and the board of the AE-PCOS.
WIDER IMPLICATIONS OF THE FINDINGS
These guidelines should encourage investigators worldwide to undertake much needed epidemiologic studies of PCOS, increasing the validity, integrity and comparability of the data.
STUDY FUNDING/COMPETING INTEREST(S)
The study received no funding. R.A. serves as consultant for Medtronic, Spruce Biosciences and Ansh Labs; has received research funding from Ferring Pharmaceuticals; and is on the advisory board of Martin Imaging; R.L. has received research funding from MSD Pharmaceuticals; J.L. has received fees and/or grant support from the Dutch Heart Association, The Netherlands Organisation for Health Research and Development (ZonMw), Ferring Pharmaceuticals, Danone, Euroscreen/Ogeda and Titus Health Care; H.T. receives grant funding from the National Health and Medical Research Council; K.K., L.M.-P., S.S.M. and B.O.Y. have no potential conflicts of interest.
TRIAL REGISTRATION NUMBER
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Polycystic ovary syndrome (PCOS) is associated with many cardiovascular disease (CVD) risk factors, such as obesity, type 2 diabetes mellitus and hypertension. However, it remains debatable whether ...the presence of multiple CVD risk factors translates to increased CVD events.
A prospective, population-based Northern Finland Birth Cohort 1966.
Individuals with an expected date of birth in 1966 in Northern Finland have been followed from birth. Women in the cohort were classified as having PCOS according to either the National Institute of Health (NIH) criteria (n = 144) or the Rotterdam criteria (n = 386) at age 31, and they were compared to women without any PCOS features. The study population was re-examined at age 46, and the incidence of major adverse cardiovascular events (MACE), including myocardial infarction (MI), stroke, heart failure and cardiovascular mortality, was recorded up to age 53.
During the 22-year follow-up, both women with NIH-PCOS and women with Rotterdam-PCOS had a significantly higher risk for cardiovascular events than control women. The BMI-adjusted hazard ratio (HR) for MACE in the Rotterdam-PCOS group and the NIH-PCOS group was 2.33 (1.26-4.30) and 2.47 (1.18-5.17), respectively. The cumulative hazard curves in both diagnostic categories began to diverge at age 35. Regarding the individual CVD endpoints, MI was significantly more prevalent in both women with NIH-PCOS (P = .010) and women with Rotterdam-PCOS (P = .019), when compared to control women.
PCOS should be considered a significant risk factor for CVD. Future follow-up will show how the risk of CVD events develops after menopausal age.
Context:
Obesity affects the majority of women with polycystic ovary syndrome (PCOS), but previous studies are inconsistent about the prevalence of obesity and the importance of weight gain in the ...development of the syndrome.
Objective:
Our objective was to explore the association between weight, weight gain, hyperandrogenism, and PCOS from adolescence to late adulthood.
Design:
The study includes a prospective Northern Finland Birth Cohort 1966 study including 5889 females born in 1966 and followed at the ages of 14, 31, and 46 years.
Setting:
The setting was the general community.
Participants:
Women presenting both oligo/amenorrhea (OA) and hirsutism (H) at age 31 (N = 125) or with formally diagnosed PCOS by age 46 (N = 181) were compared with women without PCOS symptoms or diagnosis (n = 1577).
Interventions:
None.
Main Outcome Measures:
Body mass index (BMI), weight change through life, waist circumference, Free Androgen Index, lipids, glucose, insulin, high-sensitivity C-reactive protein, homeostatic model assessment for insulin resistance, and PCOS.
Results:
Women with OA+H at age 31 or diagnosis of PCOS by age 46 had the highest BMI at all ages compared with the controls. Increase of BMI between ages 14 and 31, but not between 31 and 46, was greater in women with isolated OA (P = .006), OA+H (P = .001), and diagnosis of PCOS (P = .001) compared with controls. In the multivariate analysis, PCOS was significantly associated with BMI at all ages (BMI at age 31: odds ratio OR = 1.05 95% confidence interval (CI), 1.00–1.10, Free Androgen Index (OR = 1.08 95% CI, 1.03–1.14), serum levels of insulin (OR = 1.05 95% CI, 1.00–1.09), and triglycerides (OR = 1.48 95% CI, 1.08–2.03).
Conclusions:
Symptoms or diagnosis of PCOS are associated with dyslipidemia, hyperandrogenemia, and significantly increased weight gain, especially in early adulthood. This observation is important because it may identify a sensitive time period when weight gain plays a crucial role in the emergence of PCOS and when preventive actions against metabolic and cardiovascular diseases should be implemented.
Abstract
Context:
Polycystic ovary syndrome (PCOS) is associated with increased psychological distress, obesity and hyperandrogenism being suggested as key promoters.
Objectives:
To investigate the ...prevalence of anxiety/depression and their coexistence in women with PCOS/PCOS-related symptoms at ages 31 and 46. The roles of obesity, hyperandrogenism, and awareness of PCOS on psychological distress were also assessed.
Design:
Population-based follow-up.
Setting:
Northern Finland Birth Cohort 1966 with 15-year follow-up.
Participants:
At age 31, a questionnaire-based screening for oligoamenorrhea (OA) and hirsutism (H): 2188 asymptomatic (controls), 331 OA, 323 H, and 125 OA plus H (PCOS). Follow-up at age 46: 1576 controls, 239 OA, 231 H, and 85 PCOS.
Interventions:
Questionnaire-based screening for anxiety and depression symptoms (Hopkins Symptom Checklist-25) and previously diagnosed/treated depression at ages 31 and 46. Body mass index (BMI), serum testosterone/free androgen index, and awareness of polycystic ovaries/PCOS on psychological distress were also assessed.
Main Outcomes:
Population-based prevalence of anxiety and/or depression in women with PCOS/PCOS-related symptoms at ages 31 and 46.
Results:
Anxiety and/or depression symptoms, their coexistence, and rate of depression were increased at ages 31 and 46 in women with PCOS or isolated H compared with controls. High BMI or hyperandrogenism did not associate with increased anxiety or depression symptoms. The awareness of PCOS was associated with increased anxiety.
Conclusions:
Women with PCOS or isolated H present more often with anxiety and/or depression symptoms and their coexistence compared with controls. High BMI or hyperandrogenism did not provoke psychological distress in PCOS. The awareness of PCOS increased anxiety but did not associate with severe anxiety or depression.
We studied psychological distress in women with PCOS symptoms and found high anxiety and depression rates in women with PCOS or isolated hirsutism lasting until perimenopausal age.
Background:
The role of metformin in the treatment of infertility in women with polycystic ovary syndrome (PCOS) is still controversial.
Objective and Outcomes:
We investigated whether metformin ...decreases the early miscarriage rate and improves the pregnancy rates (PR) and live-birth rates (LBR) in PCOS.
Methods:
This was a multicenter, randomized (1:1), double-blind, placebo-controlled study. Three hundred twenty women with PCOS and anovulatory infertility were randomized to metformin (n = 160, Diformin; obese women, 1000 mg two times daily; nonobese subjects, 500 mg + 1000 mg daily) or identical doses of placebo (n = 160). After 3 months' treatment, another appropriate infertility treatment was combined if necessary. If pregnancy occurred, metformin/placebo was continued up to the 12th week.
Results:
Miscarriage rates were low and similar in the two groups (metformin 15.2% vs. placebo 17.9%, P = 0.8). Intent-to-treat analysis showed that metformin significantly improved PR and LBR (vs. placebo) in the whole study population (PR: 53.6 vs. 40.4%, P = 0.006; LBR: 41.9 vs. 28.8%, P = 0.014) and PR in obese women (49.0 vs. 31.4%, P = 0.04), and there was a similar trend in nonobese (PR: 58.6 vs. 47.6%, P = 0.09; LBR: 46.7 vs. 34.5%, P = 0.09) and in obese women with regard to LBR (35.7 vs. 21.9%, P = 0.07). Cox regression analysis showed that metformin plus standard infertility treatment increased the chance of pregnancy 1.6 times (hazard rate 1.6, 95% confidence interval 1.13–2.27).
Conclusion:
Obese women especially seem to benefit from 3 months' pretreatment with metformin and its combination thereafter with routine ovulation induction in anovulatory infertility.
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