Obesity is the predominant predictor of impaired glucose tolerance and metabolic disturbance in polycystic ovary syndrome

Cardiovascular Risk According to Body Mass Index in Women of Reproductive Age With Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

Background

Polycystic ovary syndrome (PCOS) is a heterogeneous condition that affects women of reproductive age. The association between PCOS and cardiovascular risk according to body mass index (BMI) categories is unclear.

Objective

We evaluated the association between cardiovascular risk according to BMI categories and PCOS in women of reproductive age.

Methods

A literature search was conducted in the EMBASE, MEDLINE, Cochrane Library, and PubMed databases from their inception to 9 September, 2021. Observational cross-sectional, retrospective, and prospective controlled studies were included. The main analyses examined the relationship between cardiovascular risks (i.e., blood pressure and lipid levels) and BMI in women of reproductive age with PCOS.

Results

Thirty-eight studies, with a total of 6,078 subjects, were included in this metaanalysis. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were higher in women of reproductive age with PCOS. Lower high-density lipoprotein (HDL)-cholesterol [SMD (95% CI): −0.21 (−0.35, −0.08), p = 0.002], higher triglycerides [SMD (95% CI): 0.38 (0.29, 0.48), p < 0.001], higher low-density lipoprotein (LDL)-cholesterol [SMD (95% CI): 0.29 (0.20, 0.39), p < 0.001], higher nonHDL-cholesterol [SMD (95% CI): 0.42 (0.31, 0.52), p < 0.001] and waist-to-hip ratio (WHR) [MD (95% CI): 0.03 (0.02, 0.04), p < 0.001] were seen in women of reproductive age with PCOS. In addition, the subgroup analysis revealed that systolic BP and HDL-cholesterol increased at BMI < 25 kg/m² and BMI 25–30 kg/m². Diastolic BP increased at BMI 25–30 kg/m². Triglycerides, LDL-cholesterol, nonHDL-cholesterol, and WHR increased in all BMI categories.

Conclusions

PCOS is associated with cardiovascular risk. Lipid levels and BP increased in women of reproductive age with PCOS, regardless of BMI.

Systematic Review Registration

Open Science Framework (10.17605/OSF.IO/92NBY).

Low Serum 25-Hydroxyvitamin D Levels Are Associated With Hyperandrogenemia in Polycystic Ovary Syndrome: A Cross-Sectional Study

BACKGROUND

Increasing evidence suggests a link between vitamin D and polycystic ovary syndrome (PCOS). However, whether vitamin D is related to hyperandrogenemia in PCOS is still inconclusive. The aim of our study is to elucidate the relationship between vitamin D and hyperandrogenemia in women with PCOS in China.

METHODS

This is a cross-sectional study including 625 Chinese women with PCOS and 217 controls from January 2016 to June 2020. The anthropometric and biochemical parameters related to 25(OH)D, sex steroids, glucose and lipid profiles were measured.

RESULTS

Serum 25(OH)D levels were lower in women with PCOS than controls (33.99 ± 15.05 vs 36.58 ± 16.49 nmol/L, P = 0.034), especially lower in hyperandrogenic women with PCOS (32.79 ± 14.24 vs 36.21 ± 16.27 nmol/L, P = 0.007). Higher 25(OH)D levels were independently associated with lower risks of hyperandrogenemia after adjusting demographic, metabolic and hormonal confounders (OR = 0.982, 95% CI: 0.969 - 0.995, P = 0.006). Consistent results were observed in subgroup analyses. Among PCOS women with vitamin D deficiency, females with age ≥ 26 years had lower risks of hyperandrogenemia (OR = 0.611, 95% CI = 0.389 - 0.958, P = 0.032), while overweight patients had higher risks of hyperandrogenemia (OR = 2.202, 95% CI = 1.130 - 4.293, P = 0.020) after adjusting multiple confounders.

CONCLUSIONS

Our study reported lower vitamin D levels in Chinese women with PCOS, especially in those with hyperandrogenemia. An independent negative correlation between 25(OH)D and hyperandrogenemia was noted in PCOS. For PCOS women with vitamin D deficiency, females that have higher BMI with age < 26 years may be prioritized for hyperandrogenemia assessment.

Association between melatonin receptor gene polymorphisms and polycystic ovarian syndrome: a systematic review and meta-analysis

BACKGROUND

Polycystic ovarian syndrome (PCOS) is a kind of common gynecological endocrine disorder. And the mutations of melatonin receptor (MTNR) genes are related to the occurrence of PCOS. But previous researches have shown opposite results. So, the object of our systematic review and meta-analysis is to investigate the relationship between MTNR 1A/B polymorphisms and PCOS.

METHODS

PubMed, Embase, Ovid, the Cochrane Library, Web of Science and three Chinese databases (VIP, CNKI and Wanfang) were used to retrieve eligible articles published between January 1980 and February 2020. And we used the odds ratio (OR) and its 95% confidence interval (CI) to investigate the strength of the association by six genetic models, allelic, codominant (homozygous and heterozygous), dominant, recessive and superdominant models. Review Manager 5.3, IBM SPSS statistics 25 and Stata MP 16.0 software were used to do this meta-analysis.

RESULTS

Our meta-analysis involved 2553 PCOS patients and 3152 controls, for two single nucleotide polymorphisms (rs10830963 C> G in MTNR1B and rs2119882 T> C in MTNR1A) and significant associations were found in some genetic models of these single nucleotide polymorphisms (SNPs). For rs10830963, strongly significant was found in the heterozygote model (GC vs. CC, P=0.02). Additionally, a slight trend was detected in the allelic (G vs. C), homozygote (GG vs. CC) and dominant (GG+GC vs. CC) model of rs10830963 (P=0.05). And after further sensitivity analysis, a study with high heterogeneity was removed. In the allelic (P=0.000), homozygote (P=0.001), dominant (P=0.000) and recessive (GG vs. GC+CC, P=0.001) model, strong associations between rs10830963 and PCOS were found. Moreover, for rs2119882, five genetic models, allelic (C vs. T, P=0.000), codominant (the homozygote (CC vs. TT, P=0.000) and heterozygote model (CT vs. TT, P=0.02), dominant (CC + CT vs. TT, P=0.03) and recessive model (CC vs. CT + TT, P=0.000) showed significant statistical associations with PCOS.

CONCLUSION

MTNR1B rs10830963 and MTNR1B rs2119882 polymorphisms are associated with PCOS risk. However, the above conclusions still require being confirmed by much larger multi-ethnic studies.

Characterization of polycystic ovary syndrome among Flo app users around the world

BACKGROUND

Polycystic ovary syndrome (PCOS) is a complex and multi-faceted endocrine disorder that affects 5-20% of women. Literature is limited regarding potentially differing PCOS phenotypes among women around the world.

OBJECTIVE

To use Flo app technology to understand the multifaceted characteristics of PCOS across several countries and identify contributing risk factors to the development of this condition.

STUDY DESIGN

Flo is a widely used female health and wellbeing app with period tracking functionality that provides a globally representative and medically unbiased perspective on PCOS symptomatology. A chatbot dialog on PCOS was subsequently administered on the Flo application (app) to users from 142 countries (with at least 100 respondents) who have the app running in English during September-October 2019.

RESULTS

For analyses, we selected the five countries with the greatest number of respondents: US (n = 243,238), UK (n = 68,325), India (n = 40,092), Philippines (n = 35,131), and Australia (n = 29,926). Bloating was the most frequently reported symptom among PCOS-positive women and appeared to be the main predictor of PCOS in our model (odds ratio 3·76 [95% CI 3·60-3·94]; p < 0·0001). Additional top predictors of PCOS are high blood cholesterol and glucose levels. As BMI increased, the percentage of women who reported a physician-confirmed PCOS diagnosis also increased. However, women in India did not follow this trend.

CONCLUSION

Our findings are based on the largest known PCOS dataset and indicate that symptoms are more complex than previously understood. The most frequently reported symptoms (bloating, facial hirsutism, irregular cycles, hyperpigmentation, and baldness) are broader than those included in the Rotterdam criteria. Future work should reevaluate and refine the criteria utilized in PCOS diagnosis.

Resistance to the Insulin and Elevated Level of Androgen: A Major Cause of Polycystic Ovary Syndrome

PCOS has a wide range of negative impacts on women's health and is one of the most frequent reproductive systemic endocrine disorders. PCOS has complex characteristics and symptom heterogeneity due to the several pathways that are involved in the infection and the absence of a comm14on cause. A recent study has shown that the main etiology and endocrine aspects of PCOS are the increased level of androgen, which is also known as "hyperandrogenemia (HA)" and secondly the "insulin resistance (IR)". The major underlying cause of the polycystic ovary is these two IR and HA, by initiating the disease and its severity or duration. As a consequence, study on Pathogenesis is crucial to understand the effect of "HA" and "IR" on the pathophysiology of numerous symptoms linked to PCOS. A deep understanding of the pattern of the growth in PCOS for HA and IR can help ameliorate the condition, along with adjustments in nutrition and life, as well as the discovery of new medicinal products. However, further research is required to clarify the mutual role of IR and HA on PCOS development.

The association between metabolic syndrome and polycystic ovary syndrome: A systematic review and meta-analysis

BACKGROUND

One of the most frequently encountered endocrinopathy in women of reproductive age is polycystic ovary syndrome (PCOS). Recent studies have reported varied prevalence of metabolic syndrome (MetS) in women with PCOS. The aim of this study is to determine if the women with PCOS are at a higher risk of MetS.

METHOD

The present systematic review and meta-analysis was conducted according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. To collect articles, we searched online databases of PubMed/Medline, Scopus, Web of Science, Science Direct, Embase, CINAHL, Cochrane Library, EBSCO and Google scholar search engine and the reference list of the retrieved articles using MeSH keywords of "metabolic syndrome", "woman" and "polycystic ovary syndrome" without time limit until October 2018. Cochran's Q test and I² Index were used to evaluate the heterogeneity among studies and the random effects model was used for combining the results. Data analysis was performed in STATA software version 11.1.

RESULT

Finally, 72 studies involving 10075 PCOS patients with an average age of 26.2 ± 5.01 years were included in the meta-analysis. The heterogeneity rate was high (I² = 76.5%; p < 0.001) and the pooled estimate of the association between MetS and PCOS was significant (OR = 2.57, 95% CI: 2.18-3.02; P < 0.001).

CONCLUSION

According to the results, there is higher risk of MetS in women with PCOS. Therefore, diagnosis and treatment of MetS in women with PCOS may have a significant impact on this patients health and reduce the rate of mortality and morbidity.

Metabolic syndrome in polycystic ovary syndrome: a systematic review, meta-analysis and meta-regression

Women with polycystic ovary syndrome (PCOS) have increased risk of metabolic syndrome. The relative contribution of clinical, demographic or biochemical factors to metabolic syndrome in PCOS is not known. A literature search was conducted in MEDLINE, CINAHL, EMBASE and clinical trial registries. Of 4530 studies reviewed, 59 were included in the systematic review and 27 in the meta-analysis and meta-regression. In good and fair quality studies, women with PCOS had an overall increased prevalence of metabolic syndrome (odds ratio, OR 3.35, 95% confidence interval, CI 2.44, 4.59). Increased prevalence of metabolic syndrome occurred in overweight or obese women with PCOS (OR 1.88, 95% 1.16, 3.04) but not in lean women (OR 1.45, 95% CI 0.35, 6.12). In meta-regression analyses, the markers of metabolic syndrome diagnostic criteria (waist circumference, high-density lipoprotein cholesterol, triglyceride, blood pressure), BMI, glucose tolerance (2-hr oral glucose tolerance test) and surrogate markers of insulin resistance (HOMA-IR) but not markers of reproductive dysfunction (sex hormone binding globulin, testosterone, PCOS phenotypes) contributed significantly to the heterogeneity in the prevalence of metabolic syndrome. Women with PCOS have increased risk of metabolic syndrome which was associated with obesity and metabolic features but not with indices of hyperandrogenism.

Ethnicity, obesity and the prevalence of impaired glucose tolerance and type 2 diabetes in PCOS: a systematic review and meta-regression

BACKGROUND

Our prior meta-analyses demonstrated an increased prevalence of impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM) with polycystic ovary syndrome (PCOS), but with substantial clinical heterogeneity.

OBJECTIVE AND RATIONALE

We aimed to update our previous review to quantify the prevalence of IGT and T2DM in PCOS with only quality studies (good and fair quality). We also aimed to examine the contribution of parameters including ethnicity, obesity and method of diagnosing T2DM in explaining the observed heterogeneity in IGT and T2DM prevalence in PCOS.

SEARCH METHODS

We conducted a literature search (MEDLINE, CINAHL, EMBASE, clinical trial registries and hand-searching) up to June 2016 to identify studies reporting the prevalence of dysglycemia (IGT and T2DM) in women with and without PCOS. We included studies where women with PCOS (defined according to original National Institute of Health) were compared to women without PCOS for the end-points of the prevalence of IGT or T2DM. We excluded case reports, case series, editorials, and narrative reviews. Studies where PCOS was diagnosed by self-report, or where IGT or T2DM were measured by fasting glucose, only were excluded. We assessed the methodological quality of the included studies using a priori criteria based on the Newcastle-Ottawa Scaling (NOS) for non-randomized studies. Data are presented as odds ratio (OR) (95% CI) with random-effects meta-analysis by Mantel-Haenszel methods. We assessed the contribution of demographic and clinical factors to heterogeneity using subgroup and meta-regression analysis.

OUTCOMES

We reviewed 4530 studies and included 40 eligible studies in the final analysis. On meta-analysis of quality studies, women with PCOS had an increased prevalence of IGT (OR = 3.26, 95% CI: 2.17-4.90) and T2DM (OR = 2.87, 95% CI: 1.44-5.72), which differed by ethnicity (for IGT, Asia: 5-fold, the Americas: 4-fold and Europe: 3-fold), was higher with obesity, and doubled among studies using self-report or administrative data for diagnosing diabetes. The ethnicity-related difference retained its significance for Asia and Europe in BMI-matched subgroups. Clear contributors to heterogeneity did not emerge in meta-regression.

WIDER IMPLICATIONS

Our findings underscore the importance of PCOS as a cause of dysglycemia with a higher prevalence of IGT and T2DM. They support the relevance of ethnicity and obesity and emphasize the need for accurate diagnostic methods for diabetes.

PROSPERO REGISTRATION NUMBER

CRD42017056524.

Lipids and Women's Health: Recent Updates and Implications for Practice

The obstetrician/gynecologist frequently serves as the primary care physician for women. Specialty-specific guidelines vary in screening recommendations for lipid disorders; women's health practitioners often follow recommendations to screen at age 45 in the absence of other risk factors. However, 2013 American College of Cardiology/American Heart Association cholesterol guidelines recommend screening at age 21 to capture those at risk of cardiovascular disease and allow for early intervention with lifestyle and, in the most severe cases, evidence-based statins. We discuss the care of women who primarily benefit from screening: those with familial hypercholesterolemia (FH), those with the metabolic syndrome (MetS) or polycystic ovary syndrome, and those with hypertriglyceridemia. Those with FH have elevated low-density lipoprotein cholesterol from birth and a propensity for premature coronary heart disease. Early recognition of FH can allow risk-reducing interventions, as well as identification of additional affected relatives. Early detection of metabolic variables, such as in the MetS and hypertriglyceridemia, can lead to an enhanced focus on physical activity and heart-healthy diet. Finally, we discuss a practical approach to lipid management and review concerns regarding drug safety. Our objective is to provide a current overview of cardiovascular risk factor optimization that women's health practitioners can use in identifying and/or treating patients at risk for cardiovascular disease and diabetes.

The risk of metabolic syndrome in polycystic ovary syndrome: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVE

Polycystic ovary syndrome (PCOS) is a common heterogeneous endocrine disorder associated with metabolic syndrome (MetS). The aim of this systematic review and meta-analysis was to provide the most reliable estimate risk of MetS in women with PCOS, compared to healthy controls.

METHODS

A comprehensive literature search was performed in PubMed [including Medline], Web of Science and Scopus databases for retrieving articles in English language on the prevalence/incidence and odds of MetS in women with PCOS compared to healthy controls. Mantel-Haenszel methods of meta-analysis were used to present results in terms of the pooled odds ratio (OR) (95% confidence interval [CI]) using fixed/random-effects models with/without the publication bias correction, based on the various subgroups of age and study methods. Newcastle-Ottawa Scaling and The Cochrane Collaboration's risk of bias assessment tool were used to evaluate the quality of studies included.

RESULTS

The search strategy yielded 2759 potentially relevant articles of which 44 articles were included for meta-analysis. Results of the meta-analysis demonstrated that the patients with PCOS regardless of age, BMI and recruitment sources of samples had higher odds of MetS compared to healthy controls (OR 2.5, 95% CI 2.0-3.2). However, adolescents with PCOS had an increased odds of MetS compared to healthy adolescent controls in population- and nonpopulation-based studies (OR 4.7, 95% CI 1.8-11.9; OR 6.1, 95% CI 6.0- 6.1, respectively). However, the odds of MetS had no differences between adults with PCOS compared to healthy controls in population-based studies. These results were confirmed by the subgroup meta-analysis of some studies using age and BMI adjustment/matching. In addition, subgroup analysis based on diagnostic criteria of PCOS showed that the OR of MetS in PCOS using NIH criteria was higher than AES and Rotterdam criteria (Pooled Overall OR based on NIH criteria = 6.05, 95% CIL: 6.0-6.04).

CONCLUSION

These findings provide some information on the real features and a broader view of this syndrome that also helps clarify conflicting results documented in the literature. Accordingly, in prevention strategies, routine screening for metabolic syndrome is suggested for adolescents with PCOS.

The clinical and biochemical characteristics associated with insulin resistance in non-obese young women. Gynecol Endocrinol 2016;32:767-771. [PMID: 27018331 DOI: 10.3109/09513590.2016.1163671]

AIM

The aim of this study was to investigate the biomarkers of insulin resistance in non-obese women.

DESIGN

This was a retrospective study.

PATIENTS

A total 229 non-obese women (Body mass index: BMI < 25) were evaluated.

MAIN OUTCOME MEASURE(S)

Serum levels of various androgens, cardiovascular risk and metabolic components.

RESULTS

There were no significant differences in the prevalence of polycystic ovary syndrome (PCOS), hyperprolactinemia, or premature ovarian failure (POF) between the non-obese women with and without insulin resistance. Non-obese women with insulin had significantly higher serum thyroid stimulation hormone (TSH) levels and resistin and lower serum adiponectin levels than non-obese women without insulin resistance; however, the inflammatory biomarkers and serum androgen levels did not differ between the two groups. Furthermore, using step-wise multivariate regression analysis applied by the risk factors listed above, TSH was the only predictive factor for insulin resistance in non-obese reproductive-aged women.

CONCLUSIONS

Thyroid function should play an important role in developing insulin resistance for non-obese women. Serum androgens and inflammation might not contribute to insulin resistance in these women.

Serum ferritin levels and polycystic ovary syndrome in obese and nonobese women

OBJECTIVE

The aim of this study is to evaluate serum ferritin levels and polycystic ovary syndrome (PCOS)-related complications in obese and nonobese women.

MATERIALS AND METHODS

This retrospective study included 539 (286 with PCOS and 253 without PCOS).

RESULTS

Serum ferritin correlated with menstrual cycle length, sex hormone-binding globulin, total testosterone, androstenedione, triglyceride, and total cholesterol in both obese and nonobese women. Obese women with high ferritin levels exhibited higher insulin resistance, impaired glucose tolerance, and liver enzymes (glutamic oxaloacetic transaminase, glutamic pyruvic transaminase) than obese women with low ferritin levels. However, among nonobese women, insulin resistance and risk of diabetes were not significantly different between the high and low ferritin groups. Independent of obesity, hypertriglyceridemia was the major metabolic disturbance observed in women with elevated serum ferritin levels.

CONCLUSION

Elevated serum ferritin levels are associated with increased insulin resistance and risk of diabetes in obese women but not in nonobese women. However, higher serum ferritin levels were correlated with a greater risk of hyperglyceridemia in both obese and nonobese women. Therefore, hypertriglyceridemia in women with PCOS might be associated with iron metabolism.

Polycystic ovary syndrome patients with high BMI tend to have functional disorders of androgen excess: a prospective study

Biochemical or clinical changes of hyperandrogenism are important elements of polycystic ovary syndrome (PCOS). There is currently no consensus on the definition and diagnostic criteria of hyperandrogenism in PCOS. The aim of this study was to investigate the complex symptoms of hyperandrogenic disorders and the correlations between metabolism and hyperandrogenism in patients with PCOS from an outpatient reproductive medicine clinic in China. We conducted a case control study of 125 PCOS patients and 130 controls to evaluate differences in body mass index (BMI), total testosterone (TT), modified Ferriman-Gallwey hirsutism score, sex hormone binding globulin (SHBG), homeostasis model assessment-estimated insulin resistance (HOMA-IR) and free androgen index (FAI) between PCOS patients and controls and subgroups of PCOS. The prevalence of acne and hirsutism did not differ significantly between the hyperandrogenic and non-hyperandrogenic subgroup. Patients with signs of hyperandrogenism had significantly higher BMI (P < 0.05), but differences in TT, SHBG, FAI and waist/hip ratio were insignificant. The odds ratio of overweight was calculated for all PCOS patients. Our results suggest that PCOS patients with high BMI tend to have functional disorders of androgen excess; therefore, BMI may be a strong predictor of hyperandrogenism in PCOS.

Diverse impacts of aging on insulin resistance in lean and obese women with polycystic ovary syndrome: evidence from 1345 women with the syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) represents a moving spectrum of hormonal to metabolic abnormalities, as women with the syndrome are aging. Hormonal abnormalities, anovulation, and hyperandrogenic signs were predominant during the early years of PCOS and fade away with the years. Metabolic abnormalities and insulin resistance (IR) remain throughout the PCOS life cycle; however, it is unclear as to how they change, as women with the syndrome are aging.

OBJECTIVE

To evaluate the changes in IR and its associations with clinical, biochemical, hormonal, and ultrasound findings in a large cohort of women with PCOS and controls, as they are aging.

DESIGN

A cross-sectional study was carried out to evaluate the diverse impacts of aging on IR.

SETTING

An outpatient clinic was chosen for the study.

PARTICIPANTS

A total of 1345 women with PCOS (Rotterdam criteria) and 302 controls of Caucasian origin and Greek ethnicity comprised the study group.

MAIN OUTCOME AND MEASURES

The impact of age on IR, as calculated using homeostasis model assessment of IR (HOMA-IR) index, and several PCOS characteristics were evaluated.

RESULTS

In PCOS, age (-0.045±0.008) was negatively, and BMI positively (0.18±0.007) associated with HOMA-IR (R(2)=0.36). When data were stratified with regard to the BMI status, a negative association of age with HOMA-IR was found in lean, normal, and overweight patients (r: -0.266, -0.233, -0.192, P<0.001), which was neutralized in obese patients (r: -0.009, P: NS). Free androgen index and BMI were positively associated with HOMA-IR in all age quartiles. When mean HOMA-IR values were plotted according to BMI subgroups at different age quartiles, a significant gradual decrease in HOMA-IR was observed in normal (P<0.001) and overweight (P: 0.004), but not obese, women (P: 0.202) across age quartiles.

CONCLUSIONS

Aging increases IR in obese but not in lean and overweight women with PCOS. As BMI and androgens are positively associated with HOMA-IR and androgens decline through time, it appears that if women with PCOS do not become obese they may exhibit a better metabolic profile during their reproductive years.

Changes in the PCOS phenotype with age

Polycystic ovarian syndrome (PCOS) is the most common endocrine disorder of reproductive-age women. The diagnosis of PCOS is mainly based on the following three components: (1) hyperandrogenism, (2) oligo-amenorrhea, and (3) the observation of polycystic ovaries on a sonogram. The comorbidities may include insulin resistance, type II diabetes mellitus, hypertension and cardiovascular disease. Importantly, the diagnostic criteria and complications related to PCOS are age-dependent. Androgen production in women may decrease because of ovarian aging or decreased production by the adrenal glands over time. The prevalence of hirsutism and acne decreases with age. Ovarian volume and follicle number also decrease with age, with the age-related decrease in follicle number seemingly greater than that of ovarian volume. Aging may also be associated with increased risk of insulin resistance and metabolic disturbances. Therefore, these age-related changes may affect the observed incidence and complications of PCOS. In adolescent patients, the criteria described above pose particular diagnostic problems because the characteristics of normal puberty often overlap with the signs and symptoms of PCOS. Hyperandrogenism and chronic anovulation are the primary disturbances in younger women with PCOS; whereas, obesity, insulin resistance, and metabolic disturbances are predominant in older women with PCOS. The deterioration of insulin resistance during the reproductive life of women with PCOS appears to be mainly attributable to the increase in obesity. Therefore, if body weight could be controlled properly, younger hyperandrogenic PCOS women might reduce their risk of insulin resistance and metabolic disturbances later in life.

How to recognize PCOS: results of a web-based survey at IVF-worldwide.com

This retrospective evaluation of a web-based survey posted from 1 to 30 September 2010 was to determine which diagnostic tools physicians are currently utilizing to diagnose polycystic ovary syndrome (PCOS). Responses from 262 IVF centres in 68 countries are included in the study. Providers used various diagnostic criteria to diagnose PCOS, including the Rotterdam criteria (82%), National Institutes of Health criteria (8%), Androgen Excess Society 2006 criteria (3%) and other classification systems (7%). Many providers utilized diagnostic tools not necessarily included in traditional classification systems: 58% of respondents evaluated LH/FSH ratio in addition to androgen concentrations to define patients with PCOS; physicians also commonly obtain measurement of anti-Müllerian hormone (22%) and impaired glucose tolerance (74%) in diagnosing PCOS. Many respondents (64%) felt that polycystic-appearing ovaries on ultrasound with anovulation and a normal serum prolactin should be adequate criteria to diagnose PCOS. In conclusion, while the majority of centres (82%) uses the Rotterdam criteria to diagnose PCOS, other criteria and diagnostic tools are commonly used in evaluating patients with suspected PCOS. This study highlights the need for continual re-evaluation of PCOS diagnostic criteria with an ultimate goal of developing a consensus definition for the disorder in the future.