Risk factors, management, and future fertility of empty follicle syndrome: a retrospective study with real-world data.

Background: Empty follicle syndrome (EFS) is a challenging clinical problem. This study aims to identify the risk factors for EFS, to present pregnancy outcomes in both EFS cycle as well as subsequent cycles, and to summarize an effective rescue protocol to improve outcomes. Methods: A retrospective analysis between 2016 and 2020 was conducted at our center. Stricter criteria were applied to diagnose EFS. Logistic regression analysis was used to identify the risk factors for EFS. Further analyses were performed within the EFS cycle to present pregnancy outcomes and to find optimal rescue protocols. Long-term follow-up was conducted until live birth was achieved, covering at least two complete oocyte retrieval cycles. Results: Among 14,066 patients, 54 (0.38%) were identified as EFS. Patients with polycystic ovary syndrome (PCOS) had a significantly higher risk of developing EFS than non-PCOS ones (aOR = 2.67; 95% CI, 1.47 to 4.83). Within EFS patients, delaying the second oocyte retrieval by 3-6 h significantly improved the rates of obtaining oocyte (97.4% versus 58.3%, P = 0.002), getting embryo available for transfer (92.3% versus 33.3%, P < 0.001), and pregnancy (48.7% versus 8.3%, P = 0.017) compared to other delayed retrieval times. Overall, 31.5% (17/54) and 46.7% (7/15) EFS patients achieved live birth in the EFS cycle and the future cycle, respectively. Conclusions: PCOS is an independent risk factor for EFS, indicating that longer exposure time to human chorionic gonadotropin (hCG) may be necessary. Delaying the second oocyte retrieval by 3-6 h is an effective rescue protocol for EFS patients to achieve optimal outcomes. EFS in a single cycle does not necessarily indicate future fertility decline, but repeated EFS may result in poor outcomes.

Causal relationships exist between polycystic ovary syndrome and adverse pregnancy and perinatal outcomes: a Mendelian randomization study.

Introduction: Previous observational studies have shown that polycystic ovary syndrome (PCOS) was associated with adverse pregnancy and perinatal outcomes. However, it remains controversial whether PCOS is an essential risk factor for these adverse pregnancy and perinatal outcomes. We aimed to use instrumental variables in a two-sample Mendelian randomization (MR) study to determine causality between PCOS and adverse pregnancy and perinatal outcomes. Materials and methods: Summary statistics were extracted from a recent genome-wide association study (GWAS) meta-analysis conducted in PCOS, which included 10,074 cases and 103,164 controls of European ancestry. Data on Adverse pregnancy and perinatal outcomes were summarized from the FinnGen database of European ancestry, which included more than 180,000 samples. The inverse variance weighted (IVW) method of MR was applied for the main outcome. To assess heterogeneity and pleiotropy, we conducted sensitivity analyses, including leave-one-out analysis, weighted median, MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier), and MR-Egger regression. Results: Two-sample MR analysis with the IVW method suggested that PCOS exerted causal effects on the risk of hypertensive disorders of pregnancy [odds ratio (OR) 1.170, 95% confidence interval (CI) 1.051-1.302, p = 0.004], in particular gestational hypertension (OR 1.083, 95% CI 1.007-1.164, p = 0.031), but not other pregnancy and perinatal diseases (all p > 0.05). Sensitivity analyses demonstrated pleiotropy only in pre-eclampsia or eclampsia (p = 0.0004), but not in other pregnancy and perinatal diseases (all p > 0.05). The results remained consistent after excluding two outliers (all p > 0.05). Conclusions: We confirmed a causal relationship between PCOS and hypertensive disorders of pregnancy, in particular gestational hypertension, but no association with any other adverse pregnancy or perinatal outcome. Therefore, we suggest that women with PCOS who are pregnant should have their blood pressure closely monitored.

Global burden and epidemiological prediction of polycystic ovary syndrome from 1990 to 2019: A systematic analysis from the Global Burden of Disease Study 2019.

OBJECTIVE: To comprehensively assess the global, regional and national burden of polycystic ovary syndrome (PCOS) in incidence, prevalence, and years lived with disability (DLYs) based on the Global Burden of Disease Study (GBD) 2019. METHODS: This was a cross-sectional descriptive study. Data on PCOS incidence, prevalence, and DLYs from 1990 to 2019 were obtained from the GBD study 2019. According to the commonwealth income, WHO region, and the sociodemographic index, the estimates were demonstrated along with the estimated annual percentage change (EAPC). The EAPC data were analyzed by four levels of hierarchical clustering and displayed in the world map. The Autoregressive Integrated Moving Average (ARIMA) and Bayesian age-period-cohort (BAPC) model was used to predict the PCOS burden in the next 20 years. RESULTS: From 1990 to 2019, the number of PCOS incidence in one year increased from 1.4 million in 1990 to 2.1 million in 2019 (54.3%). Only the EAPC estimates of incidence in the Region of the Americas decreased, and their aged-standardized incidence rate (ASIR) values were the highest in 1990 and 2019. There was no significant correlation between human development index (HDI) and EAPC. However, when HDI < 0.7, EAPC of incidence and prevalence was positively correlated with HDI, and when HDI > 0.7, EAPC of incidence and prevalence was negatively correlated with HDI. Countries with the middle level HDI have the highest increasing trend of ASIR and age-standardized prevalence rate (ASPR). The 10 to 19 years old group had the highest incidence counts of PCOS globally. Besides, the ARIMA and BAPC model showed the consistent increasing trend of the burden of PCOS. CONCLUSION: In order to better promote the early diagnosis and treatment, expert consensus and diagnosis criteria should be formulated according to the characteristics of different ethnic groups or regions. It is necessary to emphasize the early screening and actively develop targeted drugs for PCOS.

Public Health System's Preparedness to Address Polycystic Ovarian Syndrome: A Rapid Assessment Survey of Health-care Providers in India.

BACKGROUND: Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorders largely affecting women of reproductive age group. OBJECTIVES: This study aimed to understand the Indian public health-care systems' preparedness in addressing PCOS. MATERIALS AND METHODS: A multicentric rapid assessment cross-sectional study was undertaken among 173 health-care providers serving across various public health-care facilities in India. This study was a component of a larger task force study that aimed to estimate the community-based prevalence of PCOS in India. Information on PCOS cases reported that knowledge about PCOS diagnosis, management practices, availability of diagnostic facilities, and drugs was explored. RESULTS: Irregular menstrual cycle was the most commonly reported PCOS symptom. Most of the health-care providers (HCPs) lacked correct knowledge about diagnostic criteria and investigation needed for the diagnosis of PCOS. Diagnostic facilities and drugs were inadequate. However, some facilities had access to investigations through public-private partnerships. Awareness programs on PCOS in the community were negligible, and PCOS cases were not documented. Training HCPs on PCOS along with the availability of specialists and strengthening diagnostic facilities were some major demands from the HCPs. CONCLUSION: Results suggest the need for training HCPs, strengthening infrastructure with good referral linkages, and adequate supply of drugs to help improve PCOS management at public health-care facilities in India. There is a need to develop national technical and operational guidelines to address PCOS using a multidisciplinary approach across all levels of care. Creating demand for services and advocating healthy lifestyles through community awareness can help early diagnosis and prevention of complications.

Association between Coffee Consumption and Polycystic Ovary Syndrome: An Exploratory Case-Control Study.

Polycystic ovary syndrome (PCOS) is a leading cause of infertility, with an estimated worldwide prevalence between 5% and 15%. We conducted a case-control study with 121 PCOS patients and 155 controls to assess the association between coffee intake and the presence of having a diagnosis of PCOS in women in Murcia, Spain. The PCOS diagnosis was determined following Rotterdam criteria (the presence of two of the following three conditions: hyperandrogenism, oligo-anovulation, and/or polycystic ovarian morphology). Coffee consumption was assessed using a validated food frequency questionnaire. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multiple logistic regression. Coffee consumption was categorized into never, less than one cup per day, one cup per day, and two or more cups per day. We found a significant inverse linear trend: the higher the coffee consumption, the lower the probability of having PCOS in multivariable analysis (p-trend = 0.034). Women who presented with PCOS were less likely to drink one cup of coffee compared to those who had never drunk coffee (OR = 0.313, 95% CI: 0.141-0.69). The consumption of at least one cup of coffee per day may be associated with a decrease in PCOS symptoms.

Analyzing the infertility burden of polycystic ovarian syndrome in China: A comprehensive age-period-cohort analysis with future burden prediction (1990-2030).

OBJECTIVE: Polycystic ovarian syndrome (PCOS) is a common but complex endocrine disorder widely linked to infertility and miscarriage. This study assessed the correlation between PCOS and infertility. METHODS: Using the latest data from the Global Burden of Disease 2019 database, we conducted an in-depth assessment of the disease burden attributed to PCOS in China. This analysis was performed using the joinpoint regression, age-period-cohort, and autoregressive integrated moving average (ARIMA) models. RESULTS: Between 1990-2019, an upward trend was observed in the age-standardized prevalence of PCOS-related female infertility in China. Joinpoint regression analysis revealed an increasing trend in the age-standardized prevalence of PCOS-related female infertility burden indicators as well as the average annual percentage change and annual percentage change across all age groups in China. In terms of the cohort effect, the period rate ratios associated with the age-standardized prevalence of PCOS-related infertility increased steadily over time. The ARIMA model predicted a relatively swift upward trend in the age-standardized prevalence of PCOS-related infertility in China from 2020-2030. CONCLUSION: The age-standardized prevalence of PCOS-related female infertility in China has increased between 1990-2019. The ARIMA model predicted that the age-standardized prevalence of this disease may continue to increase over the next decade. This study can increase the public's attention, improve women's health awareness, and have a certain significance for reducing female infertility related to PCOS.

Prevalence and association of polycystic ovary syndrome and hidradenitis suppurativa in underrepresented groups.

Hidradenitis suppurativa (HS) is an inflammatory disorder of follicular biology; androgens are believed to be involved in its pathogenesis. Polycystic ovary syndrome (PCOS) is similarly characterized by hyperandrogenism. Previous studies have found a lasting association of HS and PCOS. Socioeconomic status (SES) has been described as a comorbidity for both HS and PCOS that has not been accounted for in prior studies; we sought to investigate this association while adjusting for this. We also analyzed the prevalence of PCOS among HS patients. Using the All of Us database, female HS patients were stratified by PCOS diagnosis and compared by age, race, and ethnicity. Female HS patients were also nearest-neighbor propensity-score matched to controls at a 4:1 ratio, selecting for race, ethnicity, age, ever smoker, alcohol use disorder, obesity, type II diabetes, Medicaid status, and community deprivation index. Univariable and multivariable logistic regression was conducted to estimate the effect of HS on the presence of PCOS. The distribution of race among HS patients with PCOS was significantly different than HS patients without PCOS. A total of 1,022 female HS patients and 4,088 matched female controls were included. Significantly more patients carried a diagnosis of PCOS compared to controls (8.8% versus 4.3%, p < .001). In multivariable logistic regression, PCOS was significantly associated with HS [OR 1.71 (95% CI 1.34-2.17)]. This is the first study investigating the association of HS and PCOS within the All of Us database. We found that females with HS had a 1.34- to 2.17-fold increased odds of having PCOS, which is consistent with previous analyses. However, our analysis, in addition to controlling for common medical co-morbidities found in both HS and PCOS, also accounts for markers of SES at an individual and community level, further strengthening the association of HS with PCOS.

Association between polycystic ovary syndrome and the risk of malignant gynecologic cancers (ovarian, endometrial, and cervical): A population-based study from the U.S.A. National Inpatient Sample 2016-2019.

OBJECTIVE: This study aimed to systematically examine the relationship between polycystic ovary syndrome and ovarian, endometrial, and cervical cancers using the National Inpatient Sample (NIS) database. METHODS: We utilized the International Classification of Diseases (ICD-10) system to identify relevant codes from the NIS database (2016-2019). Univariate and multivariable regression analyses (adjusted age, race, hospital region, hospital teaching status, income Zip score, smoking, alcohol use, and hormonal replacement therapy) were conducted to evaluate association between PCOS and gynecologic cancers. Results were summarized as odds ratio (OR) with 95% confidence intervals (CI). RESULTS: Overall, 15,024,965 patients were analyzed, of whom 56,183 and 14,968,782 patients were diagnosed with and without PCOS, respectively. Among the patients diagnosed with gynecologic cancers (n = 91,599), there were 286 with PCOS and 91,313 without PCOS. Univariate analysis revealed that PCOS was significantly associated with higher risk of endometrial cancer (OR = 1.39, 95 % CI [1.18-1.63], p < 0.0001), but lower risk of ovarian cancer (OR = 0.55, 95 % CI [0.45-0.67], p < 0.0001) and cervical cancer (OR = 0.68, 95 % CI [0.51-0.91], p = 0.009). In contrast, after Bonferroni correction, multivariable analysis depicted that PCOS remained significantly associated with higher risk of endometrial cancer (OR = 3.90, 95 % CI [4.32-4.59], p < 0.0001). There was no significant correlation between PCOS and risk of ovarian cancer (OR = 1.09, 95 % CI [0.89-1.34], p = 0.409) and cervical cancer (OR = 0.83, 95 % CI [0.62-1.11], p = 0.218). CONCLUSION: This first-ever NIS analysis showed that patients with PCOS exhibited unique gynecologic cancer risk profiles, with higher risk for endometrial cancer, and no significant risk for ovarian or cervical cancers.

Pregnancy, delivery, and neonatal outcomes among women with PCOS and endometriosis: a population database cohort.

PURPOSE: PCOS and endometriosis are independent risk factors for perinatal outcomes. Little research has evaluated the concomitant effects of these conditions, nor have studies been conducted on a population database. We sought to identify the pregnancy, delivery, and neonatal outcomes in women with polycystic ovary syndrome (PCOS) and endometriosis vs. PCOS without endometriosis. METHODS: A retrospective population-based cohort study was performed extracting data using ICD-9 codes from the HCUP-NIS Database from 2004 to 2014. Endometriosis in women with PCOS represented the study group (n = 163), and the remaining PCOS, non-endometriosis patients constituted the reference group (n = 14,719). Subjects were included once per delivery. Demographics were compared using chi-squared tests. Confounding effects in pregnancy outcomes were controlled using binary logistic regression analysis. RESULTS: Concomitant endometriosis and PCOS patients were more likely to be white (88.5% vs.71.0%, p < 0.001), with BMI < 30 kg/m2 (87.1% vs.77.8%, p < 0.004) and from lower income quartiles (27.1% vs.17.1%, p < 0.017) when compared to PCOS without endometriosis. Comparing pregnancy complication rates, placental abruption (p < 0.018, aOR 3.01, 95% CI 1.21-7.50), Cesarean section (p < 0.003, aOR 1.75, 95% CI 1.21-2.53), deep venous thromboses (p < 0.002, aOR 74.31, 95% CI 4.57-1209.21), and venous thromboembolic events (p < 0.031, aOR 10.40, 95% CI 1.24-87.37), were increased in the study group compared to the reference group. CONCLUSION: Women with PCOS and endometriosis were more likely to be white, of lower socioeconomic status, lean, and experience abruptio-placenta, cesarean deliveries, and venous thromboembolisms. Since little was previously known about the combined outcomes of PCOS and endometriosis, it is difficult to counsel patients on risks. Our findings can help clinicians manage pregnant PCOS patients with endometriosis to minimize complications such as abruptio placenta and VTE.

Polycystic ovary syndrome: Insights into its prevalence, diagnosis, and management with special reference to gut microbial dysbiosis.

Polycystic ovary syndrome (PCOS) represents major endocrine and metabolic disorder among women largely characterized by hyperandrogenism and oligomenorrhea precipitates serious complications such as type 2 diabetes, early atherosclerosis, infertility, and endometrial cancer. Several etiological theories were proposed to define the exact cause of the PCOS, which is characterized, by the hypothalamic-pituitary axis, ovarian morphology, and release of adrenal steroid hormones, metabolic syndrome, and hereditary factors. The review explored the role of dysbiosis and the mechanisms through which microbial dysbiosis can affect PCOS development. In recent time, various research groups highlighted the role of microbial gut dysbiosis associated with obesity as potential etiological factor for the PCOS. In the present review, we reviewed the mechanisms attributed to the microbial dysbiosis and treatment approaches to deal with the situation.

Comparison of premenstrual symptoms, psychological well-being, and nutritional status between Palestinian women with and without polycystic ovarian syndrome: a case-control study.

BACKGROUND: Polycystic ovarian syndrome (PCOS) is a widely seen reproductive and endocrinological disorder. PCOS can exert substantial effects on many aspects of an individual's life, including reproductive health and psychological well-being. The objective of this study was to assess the nutritional status, premenstrual syndrome, and mental health of women affected by PCOS in comparison to women without PCOS. METHODOLOGY: A case-control observational study in Palestine included 100 PCOS patients and 200 healthy women. The collected data included socio-demographic information, medical history, premenstrual syndrome, mental health, nutritional status, and lifestyle. Anthropometric measurement and the Mediterranean Diet Adherence Screener (MEDAS) were used to evaluate the nutritional status. The General Health Questionnaire (12-GHQ) was used to evaluate the state of mental health. Premenstrual syndrome (PMS) severity was evaluated using a validated Arabic premenstrual syndrome questionnaire. RESULTS: The study's findings indicated that there was a statistically significant increase in the three dimensions of PMS among participants with PCOS, p < 0.05. Similarly, PCOS patients demonstrated elevated ratings across all aspects of mental health, p < 0.05. In terms of the other variables, it has been observed that PCOS patients have a notably greater prevalence of perceived sleep disturbances and decreased adherence to the Mediterranean diet. Regression analysis revealed that PCOS is associated with mental health problems indicated by a higher GHQ score (OR: 1.09; 95% CI: 1.03; 1.16, p < 0.05), lower adherence to the MD diet (OR: 0.86; 95% CI: 0.76; 0.98, p < 0.05), and pre-menstrual syndrome, especially the physical symptoms (OR: 1.06; 95% CI: 1.003; 1.12, p < 0.05) after adjusting for age, smoking, waist-hip ratio, and body mass index (BMI). CONCLUSION: The study has linked polycystic ovary syndrome to negative mental health outcomes and an increased severity of premenstrual syndrome (PMS). Additional investigation is required in order to establish a causal association between polycystic ovary syndrome (PCOS) and lifestyle behaviors within the Palestinian population. Intervention and instructional studies are necessary to investigate the efficacy of management strategies in alleviating the effects of polycystic ovary syndrome (PCOS) on both physical and mental well-being.

The positive association between hyperuricemia and polycystic ovary syndrome and analysis of related factors.

Purpose: To examine the potential association between polycystic ovary syndrome (PCOS) and hyperuricemia and to elucidate the underlying contributory factors. Methods: Retrospective study on 603 women with PCOS and 604 women without PCOS. Anthropometric features, reproductive hormone profiles, and metabolic parameters were measured and compared between two groups of patients. Examinations of correlations between SUA levels and other parameters were conducted to discern potential correlations. Results: Both serum uric acid levels and the incidence of hyperuricemia exhibited statistically significant elevations in women with PCOS when compared to their counterparts without PCOS. Nonetheless, this statistical difference was not found between the obese subgroup after stratifying study subjects by body mass index (BMI). Pearson's correlation analysis underscored the prominence of BMI as a robust factor influencing SUA levels in women, regardless of their PCOS status. Furthermore, multivariable linear regression model demonstrated significant positive associations between SUA levels and several variables, namely dehydroepiandrosterone sulfate (DHEA-S), free androgen index (FAI), total cholesterol (TC), triglycerides (TG), free fatty acids (FFA), fasting insulin (FINS), homeostatic model assessment of insulin resistance (HOMA-IR), area under the curve for insulin (AUC-I), alanine aminotransferase (ALT), and aspartate aminotransferase (AST). Additionally, it is noteworthy that the prevalence of hyperuricemia exhibited a positive association with fasting plasma glucose (FPG) levels, while conversely, it displayed a negative association with estradiol (E2) levels. Conclusions: PCOS is associated with a significant elevation of SUA level and hyperuricemia prevalence. HA, IR, and dyslipidemia may be the mediators in the pathogenesis of hyperuricemia in women with PCOS.

Prospective risk of Type 2 diabetes in 99 892 Nordic women with polycystic ovary syndrome and 446 055 controls: national cohort study from Denmark, Finland, and Sweden.

STUDY QUESTION: What is the prospective risk of Type 2 diabetes (T2D) in Nordic women with polycystic ovary syndrome (PCOS) compared to controls? SUMMARY ANSWER: A diagnosis of PCOS and BMI ≥30 kg/m2 is a high-risk phenotype for a prospective risk of T2D diagnosis across Nordic countries. WHAT IS KNOWN ALREADY: The risk of T2D in women with PCOS is increased. The risk of T2D is related to BMI and the magnitude of risk in normal weight women with PCOS has been discussed. However, prospective data regarding risk of T2D in population-based cohorts of women with PCOS are limited. STUDY DESIGN, SIZE, DURATION: This national register-based study included women with PCOS and age-matched controls. The main study outcome was T2D diagnosis occurring after PCOS diagnosis. T2D was defined according to ICD-10 diagnosis codes and/or filled medicine prescriptions of anti-diabetic medication excluding metformin. PARTICIPANTS/MATERIALS, SETTING, METHODS: The study cohort included women originating from Denmark (PCOS Denmark, N = 27 016; controls, N = 133 994), Finland (PCOS Finland, N = 20 467; controls, N = 58 051), and Sweden (PCOS Sweden, N = 52 409; controls, N = 254 010). The median age at cohort entry was 28 years in PCOS Denmark, Finland, and Sweden with a median follow-up time (interquartile range) in women with PCOS of 8.5 (4.0-14.8), 9.8 (5.1-15.1), and 6.0 (2.0-10.0) years, respectively. Cox regression analyses were adjusted for BMI and length of education. MAIN RESULTS AND THE ROLE OF CHANCE: The crude hazard ratio (HR, 95% CI) for T2D diagnosis in women with PCOS was 4.28 (3.98-4.60) in Denmark, 3.40 (3.11-3.74) in Finland, and 5.68 (5.20-6.21) in Sweden. In adjusted regression analyses, BMI ≥30 vs <25 kg/m2 was associated with a 7.6- to 11.3-fold risk of T2D. In a combined meta-analysis (PCOS, N = 99 892; controls, N = 446 055), the crude HR for T2D in PCOS was 4.64 (3.40-5.87) and, after adjustment for BMI and education level, the HR was 2.92 (2.32-3.51). LIMITATIONS, REASONS FOR CAUTION: Inclusion of more severe cases of PCOS in the present study design could have lead to an overestimation of risk estimates in our exposed population. However, some women in the control group would have undiagnosed PCOS, which would lead to an underestimation of T2D risk in women with PCOS. BMI data were not available for all participants. The present study should be repeated in study cohorts with higher background risks of T2D, particularly in populations of other ethnicities. WIDER IMPLICATIONS OF THE FINDINGS: The prospective risk for diagnosis of T2D is increased in women with PCOS, and the risk is aggravated in women with BMI ≥30 kg/m2. STUDY FUNDING/COMPETING INTEREST(S): Funding in Denmark was from the Region of Southern Denmark, Overlægerådet, Odense University Hospital. Funding in Finland was from Novo Nordisk Foundation, Finnish Research Council and Sigrid Juselius Foundation, the National Regional Fund, Sakari Alhopuro Foundation and Finnish Diabetes Research Foundation. E.E. has received a research grant from Ferring Pharmaceuticals (payment to institution) and serves as medical advisor for Tilly AB, not related to this manuscript. The remaining authors declare no conflict of interest. TRIAL REGISTRATION NUMBER: N/A.

Polycystic ovary syndrome presents as a multimorbid condition by age 50: birth cohort linkage to national register data.

OBJECTIVE: This population-based follow-up study investigated register-based disease diagnoses and medication use up till age of 50 years among women with polycystic ovary syndrome (PCOS) that were identified from a population-based birth cohort. DESIGN: Population-based longitudinal cohort study. PATIENTS: Women reporting oligo/amenorrhea and hirsutism at age 31 and/or who were diagnosed with PCOS by a physician by age 46 (n = 244) and women without PCOS symptoms or diagnosis (n = 1556) in the Northern Finland Birth Cohort 1966. MAIN OUTCOME MEASURES: National register data on diagnosed diseases (International Statistical Classification of Diseases [ICD]-8-10) and medication use (Anatomical Therapeutic Chemical) until the age of 50. RESULTS: Women with PCOS had a 26% higher risk for any registered diagnosis (risk ratio [RR]: 1.26 [1.09-1.46]) and a 24% higher risk for medication use (RR: 1.24 [1.05-1.46]) compared with non-PCOS women, even after adjusting for several confounders. Several main ICD categories were more prevalent among women with PCOS versus non-PCOS controls, eg, endocrine, metabolic, nervous system, musculoskeletal, and genitourinary diseases in addition with different symptoms and injuries. Surprisingly, even though the overall morbidity was only increased in women with PCOS with a body mass index (BMI) ≥ 25 kg/m2, there were several ICD main categories that showed higher comorbidity risk especially in women with PCOS with a BMI < 25 kg/m2. Several medications were prescribed more often to women with PCOS versus non-PCOS controls, eg, medications related to the alimentary tract and metabolism, the cardiovascular system, genitourinary system drugs and sex hormones, dermatologic and hormonal preparations, and medications to treat the musculoskeletal, nervous, and respiratory systems. CONCLUSION: Women with PCOS are burdened with multimorbidity and higher medication use, independent of BMI and other confounders. Accordingly, preventive strategies are needed to alleviate the disease burden and improve the health outcomes of women with PCOS.

Association of severity of menstrual dysfunction with cardiometabolic risk markers among women with polycystic ovary syndrome.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is associated with a wide range of unfavorable cardiometabolic risk factors, including obesity, hypertension, insulin resistance, impaired glucose metabolism, dyslipidemia, and metabolic syndrome. Compared with women with regular menstrual cycles, women with a history of irregular menstrual periods have an increased unfavorable cardiometabolic risk. Recently, the association between the severity of oligomenorrhea and hyperinsulinemia and insulin resistance has been demonstrated. However, evidence linking the severity of menstrual cyclicity with cardiometabolic risk in PCOS women is scarce. MATERIAL AND METHODS: This work was a prospective cross-sectional study. A total of 154 women diagnosed with PCOS by the Rotterdam criteria were recruited from July 2021 to September 2022. PCOS women with eumenorrheic (eumeno group), oligomenorrhea (oligo group), and amenorrhea (ameno group) underwent history and physical examination, gonadal steroid hormone measurement, lipid profile, oral glucose tolerance test, and homeostasis model assessment of insulin resistance. RESULTS: A trend toward an increase in unfavorable cardiometabolic risk markers including obesity, hypertension, prevalence of insulin resistance, prediabetes, dyslipidemia, and metabolic syndrome was observed in the ameno group (n = 57) as compared with the eumeno (n = 24) or oligo group (n = 73). A higher prevalence of insulin resistance (odds ratio [OR]: 3.02; 95% confidence interval [CI]: 1.03-8.81) and prediabetes (OR: 3.94; 95% CI: 1.01-15.40) was observed in the ameno group than in the eumeno group, and a higher proportion of dyslipidemia (OR: 2.44; 95% CI: 1.16-5.15) was observed in the ameno group than in the oligo group in the binary logistic regression analysis after adjusting for confounding factors. CONCLUSIONS: PCOS women with amenorrhea show a higher prevalence of insulin resistance, prediabetes, and dyslipidemia compared with those with oligomenorrhea or eumenorrhea. The severity of menstrual dysfunction could be used as a readily obtainable marker for the identification of PCOS women at greatest risk of cardiometabolic diseases.

Social anxiety and psychological distress among polycystic ovarian syndrome patient's in Pakistan.

OBJECTIVE: To examine the fear of negative evaluation as a predictor, and to explore the association of social anxiety with psychological correlates among women with polycystic ovaries. Methods: The cross-sectional study was conducted from August 2020 to November 2021 after approval form the University of Central Punjab, Lahore, Pakistan, and comprised unmarried women aged 18-26 diagnosed with polycystic ovary syndrome. The sample was raised from different clinics and hospitals based in Lahore and Gujranwala cities. The sample was divided into obese, hirsutism and acne vulgaris groups. Data was collected using a demographic proforma along with standardised Derriford Appearance Scale, Brief Fear of Negative Evaluation Scale, University of California, Los Angeles, Loneliness Scale and the Social Interaction Anxiety Scale. Data was analysed using SPSS 24. RESULTS: Of the 180 patients, 60(33.3%) were in each of the 3 groups. The overall mean age was 21.4+/-2.27 years. A significant association of fear of negative evaluation was found with appearance distress, social anxiety and loneliness (p<0.05). The fear of negative evaluation and appearance distress also significantly predicted loneliness in the subjects (p<0.01). The obese group scored significantly higher in terms of fear of negative evaluation and social anxiety compared to the other groups (p<0.05). Conclusion: Women with polycystic ovaries were found to be suffering from adverse psychological outcomes and social anxiety.

Causal relationships between modifiable risk factors and polycystic ovary syndrome: a comprehensive Mendelian randomization study.

Background: Polycystic Ovary Syndrome (PCOS) is a heritable condition with an as yet unclear etiology. Various factors, such as genetics, lifestyle, environment, inflammation, insulin resistance, hyperandrogenism, iron metabolism, and gut microbiota, have been proposed as potential contributors to PCOS. Nevertheless, a systematic assessment of modifiable risk factors and their causal effects on PCOS is lacking. This study aims to establish a comprehensive profile of modifiable risk factors for PCOS by utilizing a two-sample Mendelian Randomization (MR) framework. Methods: After identifying over 400 modifiable risk factors, we employed a two-sample MR approach, including the Inverse Variance Weighted (IVW) method, Weighted Median method, and MR-Egger, to investigate their causal associations with PCOS. The reliability of our estimates underwent rigorous examination through sensitivity analyses, encompassing Cochran's Q test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots. Results: We discovered that factors such as smoking per day, smoking initiation, body mass index, basal metabolic rate, waist-to-hip ratio, whole body fat mass, trunk fat mass, overall health rating, docosahexaenoic acid (DHA) (22:6n-3) in blood, monounsaturated fatty acids, other polyunsaturated fatty acids apart from 18:2 in blood, omega-3 fatty acids, ratio of bisallylic groups to double bonds, omega-9 and saturated fatty acids, total lipids in medium VLDL, phospholipids in medium VLDL, phospholipids in very large HDL, triglycerides in very large HDL, the genus Oscillibacter, the genus Alistipes, the genus Ruminiclostridium 9, the class Mollicutes, and the phylum Tenericutes, showed a significant effect on heightening genetic susceptibility of PCOS. In contrast, factors including fasting insulin interaction with body mass index, sex hormone-binding globulin, iron, ferritin, SDF1a, college or university degree, years of schooling, household income, the genus Enterorhabdus, the family Bifidobacteriaceae, the order Bifidobacteriales, the class Actinobacteria, and the phylum Actinobacteria were determined to reduce risk of PCOS. Conclusion: This study innovatively employs the MR method to assess causal relationships between 400 modifiable risk factors and the susceptibility of PCOS risk. It supports causal links between factors like smoking, BMI, and various blood lipid levels and PCOS. These findings offer novel insights into potential strategies for the management and treatment of PCOS.

Irregular Cycles, Ovulatory Disorders, and Cardiometabolic Conditions in a US-Based Digital Cohort.

Importance: Polycystic ovary syndrome (PCOS), characterized by irregular menstrual cycles and hyperandrogenism, is a common ovulatory disorder. Having an irregular cycle is a potential marker for cardiometabolic conditions, but data are limited on whether the associations differ by PCOS status or potential interventions. Objective: To evaluate the association of PCOS, time to regularity since menarche (adolescence), and irregular cycles (adulthood) with cardiometabolic conditions. Design, Setting, and Participants: This cross-sectional study used a large, US-based digital cohort of users of the Apple Research application on their iPhone. Eligibility criteria were having ever menstruated, living in the US, being at age of consent of at least 18 years (or 19 years in Alabama and Nebraska or 21 years in Puerto Rico), and being able to communicate in English. Participants were enrolled between November 14, 2019, and December 13, 2022, and completed relevant surveys. Exposures: Self-reported PCOS diagnosis, prolonged time to regularity (not spontaneously establishing regularity within 5 years of menarche), and irregular cycles. Main Outcomes and Measures: The primary outcome was self-reported cardiometabolic conditions, including obesity, prediabetes, type 1 and 2 diabetes, high cholesterol, hypertension, metabolic syndrome, arrhythmia, congestive heart failure, coronary artery disease, heart attack, heart valve disease, stroke, transient ischemic attack (TIA), deep vein thrombosis, and pulmonary embolism measured using descriptive statistics and logistic regression to estimate prevalence odds ratios (PORs) and 95% CIs. Effect modification by lifestyle factors was also estimated. Results: The study sample (N = 60 789) had a mean (SD) age of 34.5 (11.1) years, with 12.3% having PCOS and 26.3% having prolonged time to regularity. Among a subset of 25 399 participants who completed the hormonal symptoms survey, 25.6% reported irregular cycles. In covariate-adjusted logistic regression models, PCOS was associated with a higher prevalence of all metabolic and several cardiovascular conditions, eg, arrhythmia (POR, 1.37; 95% CI, 1.20-1.55), coronary artery disease (POR, 2.92; 95% CI, 1.95-4.29), heart attack (POR, 1.79; 95% CI, 1.23-2.54), and stroke (POR, 1.66; 95% CI, 1.21-2.24). Among participants without PCOS, prolonged time to regularity was associated with type 2 diabetes (POR, 1.24; 95% CI, 1.05-1.46), hypertension (POR, 1.09; 95% CI, 1.01-1.19), arrhythmia (POR, 1.20; 95% CI, 1.06-1.35), and TIA (POR, 1.33; 95% CI, 1.01-1.73), and having irregular cycles was associated with type 2 diabetes (POR, 1.36; 95% CI, 1.08-1.69), high cholesterol (POR, 1.17; 95% CI, 1.05-1.30), arrhythmia (POR, 1.21; 95% CI, 1.02-1.43), and TIA (POR, 1.56; 95% CI, 1.06-2.26). Some of these associations were modified by high vs low body mass index or low vs high physical activity. Conclusions and Relevance: These findings suggest that PCOS and irregular cycles may be independent markers for cardiometabolic conditions. Early screening and intervention among individuals with irregular menstrual cycles may be beneficial.

Identification of Key Genes and Imbalanced SNAREs Assembly in the Comorbidity of Polycystic Ovary Syndrome and Depression.

BACKGROUND: Women with polycystic ovary syndrome (PCOS) have increased odds of concurrent depression, indicating that the relationship between PCOS and depression is more likely to be comorbid. However, the underlying mechanism remains unclear. Here, we aimed to use bioinformatic analysis to screen for the genetic elements shared between PCOS and depression. METHODS: Differentially expressed genes (DEGs) were screened out through GEO2R using the PCOS and depression datasets in NCBI. Protein-protein interaction (PPI) network analysis and enrichment analysis were performed to identify the potential hub genes. After verification using other PCOS and depression datasets, the associations between key gene polymorphism and comorbidity were further studied using data from the UK biobank (UKB) database. RESULTS: In this study, three key genes, namely, SNAP23, VTI1A, and PRKAR1A, and their related SNARE interactions in the vesicular transport pathway were identified in the comorbidity of PCOS and depression. The rs112568544 at SNAP23, rs11077579 and rs4458066 at PRKAR1A, and rs10885349 at VTI1A might be the genetic basis of this comorbidity. CONCLUSIONS: Our study suggests that the SNAP23, PRKAR1A, and VTI1A genes can directly or indirectly participate in the imbalanced assembly of SNAREs in the pathogenesis of the comorbidity of PCOS and depression. These findings may provide new strategies in diagnosis and therapy for this comorbidity.

Associations of Childhood Adiposity and Cardiometabolic Biomarkers With Adolescent PCOS.

OBJECTIVE: Polycystic Ovary Syndrome (PCOS) is common among females, with significant metabolic and reproductive comorbidities. We describe PCOS development in a pediatric population. METHODS: We assessed cardiometabolic biomarkers and adiposity at the midchildhood (mean 7.9 y), early teen (mean 13.1 y), and midteen (mean 17.8 y) visits among 417 females in the prospective Project Viva cohort. We defined PCOS via self-reported diagnosis or ovulatory dysfunction with hyperandrogenism in midlate adolescence. We used multivariable logistic regression to assess associations of metabolic and adiposity markers at each visit with PCOS. RESULTS: Adolescents with PCOS (n = 56, 13%) versus without had higher mean (SD) BMI z-score and truncal fat mass at the midchildhood (0.66 [0.99] vs 0.30 [1.04]; 3.5 kg [2.6] vs 2.7 [1.5]), early teen (0.88 [1.01] vs 0.25 [1.08]; 9.4 kg [6.7] vs 6.1 [3.4]), and midteen (0.78 [1.03] vs 0.33 [0.97]; 11.6 kg [7.2] vs 9.1 [4.9]) visits as well as lower adiponectin to leptin ratio at the early (0.65 [0.69] vs 1.04 [0.97]) and midteen (0.33 [0.26] vs 0.75 [1.21]) visits. In models adjusted for maternal PCOS, education and child race and ethnicity (social factors), we found higher odds of PCOS per 1-SD increase in truncal fat at midchildhood (odds ratio [OR] 1.42; 95% confidence interval [CI] 1.03-1.95) and early teen visits (OR 1.61; 95% CI 1.14-2.28) and lower odds per 1-SD increase in adiponectin/leptin ratio at the midteen visit (OR 0.14; 95% CI 0.03-0.58). CONCLUSIONS: Childhood excess adiposity and adipose tissue dysfunction may be a first signs of later PCOS risk.