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Cryptic pregnancy was first described in the early 17th century and occurs when the pregnant person is unaware of their pregnant state and discovers this late in pregnancy or when labour starts. Historically, the term 'concealed pregnancy' has been used synonymously. In a concealed pregnancy, the patient is aware of their pregnancy but chooses to hide it. Cryptic pregnancies can be divided into psychotic or non-psychotic types (affective, pervasive or persistent); however, it can also occur without any clinical manifestation of a psychiatric disorder. Lack of antenatal care may result in adverse maternal and fetal outcomes such as pre-eclampsia, small for gestational age babies or untreated diabetes. The risk factors for pregnancy denial include young age, low level of education, a precarious work situation and being single. The psychological and developmental impact of pregnancy denial on children and mothers is still unknown. The authors present the case of a nulliparous woman with polycystic ovary syndrome (PCOS) in her early 40s presenting to the Emergency Department with abdominal pain and hypertension with proteinuria. Her body mass index (BMI) was 51.6 kg/m 2 Physical examination revealed a gravid uterus, and the woman was in labour. Further investigation with a transabdominal ultrasound scan confirmed a term fetus. She was unaware that she was pregnant. She was diagnosed with pre-eclampsia and commenced treatment with labetalol. The woman presented to primary care with non-specific symptoms of weight gain, lethargy, carpal tunnel syndrome and acid reflux over a 6-month period. Despite being sexually active and not using contraception, a pregnancy test was not offered. She was delivered of a live neonate by an emergency lower segment caesarean section at 9 cm dilatation. The neonate plotted on the 45.2nd centile. This case emphasises the need for doctors to request a pregnancy test in women of reproductive age who present with recurrent pregnancy-related symptoms irrespective of their BMI, history of PCOS or inability to conceive over a long period. This case also highlights the need for primary care and emergency physicians to be aware of the phenomenon of cryptic pregnancy. It also provides a cautionary reminder of having a high index of clinical suspicion to establish the diagnosis due to the paucity of cases in the literature., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Polycystic ovary syndrome (PCOS) is a metabolic disease that affects the reproductive system, and its pathogenesis remains unresolved. Through the application of bioinformatics and molecular biology techniques, this study has identified a significant association between translocase of outer mitochondrial membrane 40 (TOMM40) and both PCOS and pan-cancers. The selection of PCOS biomarkers included TOMM40, which we found to be significantly decreased in the PCOS group both in vitro and in vivo, using molecular biology methods such as Western Blot as well as immunohistochemistry. Over-expression TOMM40 can rescue the effect on apoptosis rate and proliferation suppression induced by DHEA in KGN cells. TOMM40 as a biomarker for the diagnosis of PCOS. The pan-cancer analysis revealed an association between elevated TOMM40 expression in Uterine Corpus Endometrial Carcinoma and an unfavorable prognosis, while increased TOMM40 expression in six tumor types was linked to a favorable prognosis. Therefore, TOMM40 can be regarded as a promising biomarker for diagnosing both PCOS and pan-cancer., (© 2024. The Author(s).)

Polycystic ovary syndrome (PCOS) is the leading endocrine disorder in young women of childbearing age. Dermatological issues, particularly acne, are a major reason for medical consultations. The aim of this study is to determine the prevalence of PCOS in patients presenting with acne as their main dermatological complaint and to compare the metabolic and hormonal clinical characteristics of acne patients with PCOS to those with isolated acne. This was a prospective study with analytical aims, carried out in the Endocrinology Department and the Dermatology Department of Farhat Hached University Hospital in Sousse. The study included patients seeking treatment for acne from January 2023 to January 2024, divided into two groups: those with confirmed PCOS (G1) and those with isolated acne (G2). All patients underwent hormonal assessment and ovarian ultrasound. We conducted a study involving 212 patients. We found that 65.6% of acne patients had been diagnosed with PCOS. Nodular lesions were significantly more frequent in 'PCOS' (p = 0.02). Acne was linked with hirsutism, which was more prevalent in 'PCOS' (94.2% 'PCOS' vs. 67.1% 'isolated acne'), as well as androgenic alopecia (51% 'PCOS' vs. 21.9% 'isolated acne') (p < 10 - 3 ). 'PCOS' showed evidence of biological hyperandrogenism, with a mean testosterone level of 0.72 ± 0.27 ng/mL, significantly higher than in 'isolated acne'. The LH/FSH ratio was greater than 1 in 72.7% of cases in 'PCOS', demonstrating a significant difference compared to 'isolated acne', where it was greater than 1 in 24.7% of cases (p < 10 - 3 ). In our study, acne in 'PCOS' appeared to be more severe and was associated with hypertestosteronemia (p = 0.041) and hyperprolactinemia (p = 0.008). According to our results, phenotype A was the most likely to cause severe acne (p = 0.043). Our work is unique in that it brings to light this hidden aspect of the dermatological impact of PCOS, prompting physicians to screen for this endocrine disorder in all adult women seeking acne treatment., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Polycystic ovarian syndrome (PCOS) is one of the most common endocrinopathies among reproductive women worldwide, contributing greatly on the incidence of female infertility and gynecological cancers. It is a complex health condition combining of multiple symptoms like androgen excess, uncontrolled weight gain, alopecia, hirsutism, etc. Conventionally PCOS was associated with obesity while it is often found among lean women nowadays, making the disease more critical to diagnose as well treatment. The disorder has an impact on several signal transduction pathways, including steroidogenesis, steroid hormone activity, gonadotrophin regulation, insulin secretion, energy balance, and chronic inflammation. Understanding the aetiology and pathophysiology of PCOS is difficult due to its multiple causes, which include environmental factors, intricate genetic predisposition, and epigenetic modifications. Despite research supporting the role of familial aggregations in PCOS outcomes, the inheritance pattern remains unknown. Henceforth, to reduce the burden of PCOS, it is inevitably important to diagnose at early ages as well as intervene through personalized medicine. With this brief background, it was imperative to elucidate the genetic architecture of PCOS considering BMI as an controlling factor. This study aims to investigate the genetic basis behind obesity-mediated PCOS, focusing on both obese and lean individuals. It uses a comprehensive bioinformatics methodology to depict pathways and functionality enrichment, allowing for cost-effective risk prediction and management. In the present research, the representative study participants (N = 2) were chosen from a cross-sectional epidemiological survey, based on their anthropometric parameters and confirmation of PCOS. Upon voluntary participation and written consent, biological fluids (whole blood and buccal swab) were taken from where DNA was extracted. The clinical-exome sequencing was performed by the Next-generation Illumina platform using the Twist Human Comprehensive Exome Kit. A comprehensive bioinformatics methodology was employed to identify the most important, unique, and common genes. A total of 26,550 variants were identified in clinically important exomes from two samples, with 5170 common and 2232 and 2322 unique among PCOS lean and obese phenotypes, respectively. Only 262 and 94 variants were PCOS-specific in lean and obese PCOS. Three filters were applied to shortlist the most potent variants, with 4 unique variants in lean PCOS, 2 unique variants in obese PCOS, and 5 common variants in both. The study found that leptin signalling impairment and insulin resistance, as well as mutations in CYP1A1, CYP19A1, ESR1, AR, AMH, AdipoR1, NAMPT, NPY, PTEN, EGFR, and Akt, all play significant roles in PCOS in the studied group. Young women in West Bengal, India, are more likely to have co-occurring PCOS, which includes estrogen resistance, leptin receptor insufficiency, folate deficiency, T2DM, and acanthosis nigricans, with obesity being a common phenotypic expression., (© 2024. The Author(s).)

Polycystic Ovarian Syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive age, with significant variations in presentation characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology. Beyond reproductive health, it may also pose crucial long-term cardiometabolic risks, especially for women with specific types of PCOS, contributing to early subclinical cardiovascular atherosclerotic alterations such as endothelial dysfunction, increased arterial stiffness, and coronary artery calcium levels, respectively. Moreover, the precise relationship between clinical cardiovascular disease (CVD) and PCOS remains debated, with studies demonstrating an elevated risk while others report no significant association. This review investigates the pathophysiology of PCOS, focusing on insulin resistance and its link to subclinical and clinical cardiovascular disease. Diagnostic challenges and novel management strategies, including lifestyle interventions, medications like metformin and glucagon-like peptide-1 receptor agonists (GLP-1RAs), hormonal contraceptives, and bariatric surgery, are further discussed. Recognizing the cardiometabolic risks associated with PCOS, a comprehensive approach and early intervention should address both the reproductive and cardiometabolic dimensions of the syndrome.

Introduction: The Australian-led 2023 International evidence-based guideline for the assessment and management of polycystic ovary syndrome was based on best available evidence, clinical expertise and consumer preference. It followed best practice, involved extensive evidence synthesis and applied relevant frameworks across evidence quality, feasibility, acceptability, cost and implementation. Thirty-nine societies and organisations covering 71 countries were engaged. The evidence in the assessment and management of polycystic ovary syndrome (PCOS) has generally improved in the past five years, but remains of low to moderate quality. The technical evidence report, 52 systematic reviews and analyses (approximately 6000 pages) underpin 77 evidence-based and 54 consensus recommendations, with 123 practice points., Main Recommendations: Changes include: refinement of individual diagnostic criteria, a simplified diagnostic algorithm and inclusion of anti-Müllerian hormone levels as an alternative to ultrasound in adults only, and differentiation of adolescent and adult criteria; strengthening the recognition of broad features of PCOS including metabolic effects, cardiovascular disease, dermatological symptoms, sleep apnoea, a high prevalence of psychological features and a high risk of adverse pregnancy outcomes; emphasising the poorly recognised, diverse burden of disease, the vital need for greater health professional education, evidence-based patient information, improved models of care, shared decision making and research efforts to improve patient experience; maintained emphasis on healthy lifestyle, emotional wellbeing and quality of life, with awareness and consideration of weight stigma; and emphasising evidence-based medical therapy and cheaper and safer fertility management., Changes in Management as a Result of This Guideline: The 2023 guideline is approved by the National Health and Medical Research Council and provides clinicians and patients with clear advice on best practice in a common and neglected condition, based on the best available evidence, expert multidisciplinary input and consumer preferences. It provides vital, extensive patient and provider resources to enhance evidence-based care. The full guideline is available at www.monash.edu/medicine/mchri/pcos/guideline., (© 2024 The Author(s). Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd.)

&lt;b&gt;Background and Objective:&lt;/b&gt; Polycystic Ovarian Syndrome (PCOS) is a hormonal abnormality that influences the age during reproduction. This investigation aimed to identify the impact of insulin receptor-encoding genes (NsiI and PmLI) on the development of PCOS and their effect on insulin and HOMA-IR levels. &lt;b&gt;Materials and Methods:&lt;/b&gt; The study included 80 patients and 25 healthy individuals. The concentrations of HOMA-IR, fasting blood sugar and fasting insulin hormone were determined. The PCR-RFLP was applied to identify insulin receptors in the NsiI and PmLI SNPs. Sanger sequencing was used for each of these patients. The study data were analyzed using SPSS version 16.0 and using χ&lt;sup&gt;2&lt;/sup&gt; test p<0.05 was considered statistically significant. Also, Hardy-Weinberg equilibrium for genotype frequencies was used. &lt;b&gt;Results:&lt;/b&gt; The HOMA-IR and mean insulin levels significantly differed between the control subjects and PCOS females ("p = 0.002 and "p = 0.000, correspondingly). Concerning the odds ratio and their NsiI frequency polymorphisms in the heterozygote genotype A/G and homozygote mutant G/G groups were greater in PCOS than control individual (OR = 1.14, p>0.05) (OR = 5.20, p>0.05). However, for the PmLI polymorphism, CC and TT were linked with pathogenic effects for PCOS susceptibility (OR = 1.83, p>0.05) (OR = 12.07, p>0.05) and CT was a protective factor (OR = 0.22, p<0.05). &lt;b&gt;Conclusion:&lt;/b&gt; A strong relationship between high levels of hormone insulin as well as elevated HOMA-IR has been found in women with PCOS. Furthermore, INSR gene polymorphisms may be a molecular marker associated with decreased insulin sensitivity in women with PCOS.

Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the research conducted by National Institutes of Health, it has been observe that PCOS, an endocrine condition common in women of childbearing age, has become a significant contributing factor to infertility. Ovarian abnormalities brought on by PCOS carry a high risk of miscarriage, infertility, cardiac problems, diabetes, uterine cancer, etc. Ovarian cysts, obesity, menstrual irregularities, elevated amounts of male hormones, acne vulgaris, hair loss, and hirsutism are some of the symptoms of PCOS. It is not easy to determine PCOS because of its different combinations of symptoms in different women and various criteria needed for diagnosis. Taking biochemical tests and ovary scanning is a time-consuming process and the financial expenses have become a hardship to the patients. Thus, early prognosis of PCOS is crucial to avoid infertility. The goal of the proposed work is to analyse PCOS symptoms based on clinical data for early diagnosis and to classify into PCOS affected or not. To achieve this objective, clinical features dataset and ultrasound imaging dataset from Kaggle is utilized. Initially 541 instances of 45 clinical features such as testosterone, hirsutism, family history, BMI, fast food, menstrual disorder, risk etc. are considered and correlation-based feature extraction method is applied to this dataset which results in 17 features. The extracted features are applied to various machine learning algorithms such as Logistic Regression, Naïve Bayes and Support Vector Machine. The performance of each method is evaluated based on accuracy, precision, recall, F1-score and the result shows that among three models, Support Vector Machine model achieved high accuracy of 94.44%. In addition to this, 3856 ultrasound images are analysed by CNN based deep learning algorithm and VGG16 transfer learning algorithm. The performance of these models is evaluated using training accuracy, loss and validation accuracy, loss and the result depicts that VGG16 outperforms than CNN model with validation accuracy of 98.29%., (© 2024. The Author(s).)

Polycystic Ovary Syndrome (PCOS) is one of the most widespread endocrine and metabolic disorders affecting women of reproductive age. Major symptoms include hyperandrogenism, polycystic ovary, irregular menstruation cycle, excessive hair growth, etc., which sometimes may lead to more severe complications like infertility, pregnancy complications and other co-morbidities such as diabetes, hypertension, sleep apnea, etc. Early detection and effective management of PCOS are essential to enhance patients' quality of life and reduce the chances of associated health complications. Artificial intelligence (AI) techniques have recently emerged as a popular methodology in the healthcare industry for diagnosing and managing complex diseases such as PCOS. AI utilizes machine learning algorithms to analyze ultrasound images and anthropometric and biochemical test result data to diagnose PCOS quickly and accurately. AI can assist in integrating different data sources, such as patient histories, lab findings, and medical records, to present a clear and complete picture of an individual's health. This information can help the physician make more informed and efficient diagnostic decisions. This review article provides a comprehensive analysis of the evolving role of AI in various aspects of the management of PCOS, with a major focus on AI-based diagnosis tools., (© 2024. The Author(s), under exclusive licence to Society for Reproductive Investigation.)

Importance: As part of the 2023 international evidence-based polycystic ovary syndrome (PCOS) guideline, this meta-analysis investigated the inclusion of Anti-Müllerian hormone (AMH) levels in the diagnostic criteria for PCOS., Objective: To answer the following three questions: 1) Are AMH levels effective in diagnosing PCOS in adult women? 2) Are AMH levels effective in diagnosing PCOS in adolescents? Are AMH levels effective in diagnosing polycystic ovarian morphology (PCOM)?, Data Sources: Searches were conducted in six databases until July 31, 2023., Study Selection and Synthesis: Eligible studies were those conducted in humans, published in English, and reporting sensitivity, specificity, and/or area under the curve values. Extracted data included study population, age, body mass index, AMH assay, cut-off value of AMH levels, sensitivity, specificity, and area under the curve values. The risk of bias was assessed using the quality assessment of diagnostic accuracy studies tool. A random effects model was used to test diagnostic accuracy., Main Outcomes: Pooled sensitivity and specificity to use AMH levels for PCOS diagnosis in adults as well as adolescents and for detecting PCOM in adults., Results: Eighty-two studies were included. The adult AMH-PCOS meta-analyses (n = 68) showed a pooled sensitivity and specificity of 0.79 (95% confidence interval [CI], 0.76-0.82; I 2 = 86%) and 0.87 (95% CI, 0.84-0.89; I 2 = 91%). The adolescent AMH-PCOS meta-analysis (n = 11) showed a pooled sensitivity and specificity of 0.66 (95% CI, 0.58-0.73; I 2 = 74%) and 0.78 (95% CI, 0.71-0.83; I 2 = 45%). The adult AMH-PCOM meta-analysis (n = 7) showed a pooled sensitivity and specificity of 0.79 (95% CI, 0.72-0.85; I 2 = 94%) and 0.87 (95% CI, 0.78-0.93; I 2 = 94%). CONCLUSION AND RELEVANCE: This study investigated the most profound change in the 2023 international evidence-based PCOS guideline, which now recommends AMH levels for defining PCOM in adults in accordance with the diagnostic algorithm. Antimüllerian hormone levels alone are insufficient for PCOS diagnosis and are nonspecific for PCOM in adolescents. Multiple factors influence AMH levels and cause heterogeneity as well as limitations in this study. Consequently, no international cut-off value could be recommended, emphasizing the need for research on more individualized cut-off values., Competing Interests: Declaration of Interests K.V.D.H. has nothing to disclose. J.S.E.L. reports grants from Ansh Labs, Webster, Tx, USA, from Ferring, Hoofddorp, NL, from Roche Diagnostics, Rotkreuz, Switzerland, from Merck, Schiphol-Rijk, NL, and personal fees from Ferring, Hoofddorp, NL, from Titus Healthcare, Hoofddorp, NL, from Gedeon Richter, Groot-Bijgaarden, Belgium, from Ansh Labs, Webster, TX, USA, from Roche Diagnostics, Rotkreuz, Switzerland, and is an unpaid board member and president of the AE-PCOS Society, and a member of the ASRM Research Integrity Committee, outside the submitted work. C.T.T. receives funding from the Australian National Health and Medical Research Council supported Centre for Research in Women's Health in Reproductive Life. A.M. receives fellowship (salary) funding from the Australian National Health and Medical Research Council. H.T. receives funds from fellowship (salary) and grants from the Australian National Health and Medical Research Council and Australian Federal Government. Y.V.L. has nothing to disclose., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: To examine the global prevalence of polycystic ovary syndrome (PCOS) among adolescents across world regions, comparing the 2003 Rotterdam consensus criteria with the current International Evidence-based PCOS Guideline criteria which omits polycystic ovarian morphology (PCOM)., Design: Systematic review and meta-analysis, Prospero CRD42022372029., Methods: OVID MEDLINE, All EBM, PsycInfo, EMBASE, and CINAHL were searched from 1990 to November 2023 for studies assessing the prevalence of PCOS in unselected adolescent populations., Results: Overall, 15 708 articles were identified. After removal of duplicates, 11 868 titles and abstracts and 445 full texts were assessed. Of these, 24 articles reporting on 23 studies from five world regions were included. In meta-analysis of 20 studies (n = 14 010 adolescents), global prevalence was 9.8% (95% CI 7.2, 12.3) according to original Rotterdam criteria, and 6.3% (95% CI 3.9, 8.8) according to International Evidence-based Guideline criteria. Global PCOS prevalence based on self-report was 9.8% (95% CI 5.5, 14.1). Grouped by WHO region, prevalence ranged from 2.9% (95% CI 2.0, 3.9) in the Western Pacific region to 11.4% (95% CI 7.1, 15.7) in the South-East Asia region according to guideline criteria., Conclusion: This paramount global meta-analysis on adolescent PCOS diagnosis directly informed the 2023 International PCOS Guideline. Guideline criteria generated a global PCOS prevalence of 6.3%, compared with 9.8% on Rotterdam criteria (including PCOM). Excluding PCOM, which overlaps with normal pubertal transition, is expected to deter over-diagnosis. To avoid under-diagnosis, the Guideline recommends identifying those with either irregular cycles or hyperandrogenism as being "at risk"; this group should undergo longitudinal serial evaluations until adulthood., Competing Interests: Conflict of interest: No conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Endocrinology.)

Purpose: The objective of this study was to evaluate anterior segment parameters across various phenotypes of polycystic ovary syndrome (PCOS), considering body mass index (BMI), serum estradiol and testosterone levels., Materials and Methods: This prospective study included 116 women with PCOS, with each of the four distinct phenotype comprising 29 women. Additionally, 29 healthy women were included in the control group. All participants underwent comprehensive ophthalmologic examinations, including intraocular pressure (IOP) measurements. Anterior segment parameters, such as central corneal thickness (CCT), axial length (AL), aqueous depth (AD), anterior chamber depth (ACD), and lens thickness (LT) were measured using optic biometry. Endothelial cell density (ECD) was assessed using non-contact specular microscopy. The BMI was calculated, and serum levels of estradiol and testosterone were noted., Results: IOP was found to be significantly higher (p = 0.003) and CCT was significantly thicker (p = 0.004) in all phenotypes of PCOS compared to the control group. BMI, serum estradiol and free testosterone were found to correlate with both IOP and CCT. AL, AD, ACD and LT values showed no significant differences compared to the control group. Although ECD tend to be higher in the PCOS phenotypes, this difference was not statistically significant (p > 0.05)., Conclusion: Given our findings that CCT and IOP are significantly elevated in PCOS phenotypes. PCOS should be considered as an important factor when evaluating female patients for anterior segment diseases and glaucoma., (© 2024. The Author(s).)

Competing Interests: Conflict of interest: N.S.: none. M.S.: none. C.N.B.M.: serves as Board of Director for iRhythm, and fees were paid through CSMC from Abbott Diagnostics and SHL Telemedicine. C.L.S.: none.

Aims: We aimed to evaluate the risk of cardiovascular disease (CVD) in women with polycystic ovary syndrome (PCOS) and estimate the global incidence of PCOS-associated CVD., Methods and Results: We conducted a meta-analysis across five databases to evaluate the risk of CVD among women with PCOS. The global incidence of PCOS-associated CVD was calculated by a population attributable fraction modelling using the pooled risk ratio (RR), PCOS prevalence, CVD incidence number, and age-standardized rate (ASIR), from the Global Burden of Diseases 2019. An estimated annual percentage change (EAPC) was used to assess the temporal trend of PCOS-associated CVD. The risk of CVD was significantly increased in women with PCOS for an all-age group (pooled RR 1.51, 95% confidence interval 1.36-1.69) and 10- to 54-year-olds (1.37, 1.17-1.59). Globally, from 1990 to 2019, the PCOS-associated CVD cases in women across the all-age group has raised from 102 530 to 235 560. The most affected regions were East Asia and the Pacific (108 430, 66 090-166 150) in 2019. South Asia has the highest increase trend of PCOS-associated CVD ASIRs (EAPC 2.61%, 2.49-2.73). The annual increase in ASIR in PCOS-CVD incidence for the 10-54 age group (EAPC 0.49%, 0.41-0.56) is faster than that of the all-age group (0.34, 0.27-0.42). The middle- or low-middle sociodemographic index countries experienced higher increase trend of CVD due to PCOS in the past 30 years., Conclusion: Women with PCOS have a significantly increased risk of CVD. Efficient measures to enhance its prevention and treatment are important for regions with a high PCOS-associated CVD burden, especially premature CVD in women under 55 years., Competing Interests: Conflict of interest: We declare that all authors have no conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects 6-12% of United States women of reproductive age. Because women with PCOS are at an increased risk of developing type 2 diabetes, clinical practice guidelines from a number of organizations (e.g. American Diabetes Association, American College of Obstetricians and Gynecologists, US Preventive Services Task Force) recommend that individuals with PCOS are routinely screened for diabetes. Guidelines further indicate that an oral glucose tolerance test (OGTT) should be used for diabetes screening in women with PCOS as opposed to an A1C or fasting plasma glucose test. The purpose of this study is two-fold: 1) to estimate rates of diabetes screening among a nationwide sample of commercially insured women with PCOS and 2) to report the percentage of women screened using each test (OGTT, A1C, fasting plasma glucose) among those who were screened., Methods: We used the MarketScan Commercial Claims database (2011-2019) to identify a sample of women aged 18-64 years with PCOS who were free from diabetes at baseline and had ≥ 5 years of continuous enrollment in their insurance plan. PCOS was ascertained using International Classification of Disease diagnosis codes (ICD-9: 256.4; ICD-10: E28.2). Diabetes screening was ascertained using Current Procedural Terminology (CPT) codes (A1C: 8303683037; Fasting blood sugar: 82947; OGTT: 82950). Diabetes screening rates were calculated for the overall study sample as well as across subgroups defined by age, overweight/obesity, hypertension, hypercholesterolemia, and vascular disease., Results: In our sample of 191,110 commercially insured women with PCOS, 73.40% were screened at least once for diabetes during a five-year period. Among the women screened, 19.24% were screened using the Androgen Excess Society (AES)-recommended OGTT, 61.58% were screened using A1C, and 23.37% were screened using fasting blood sugar., Conclusions: In a sample of commercially insured individuals spanning the timeframe 2011-2019, nearly 75% of women with PCOS complied with the ACOG screening guidelines for diabetes. Although OGTT is recommended as the preferred screening tool for women with PCOS it was less commonly used than A1C and fasting blood sugar tests., (© 2024. The Author(s).)

Context: Several challenges still exist to adopt the anti-müllerian hormone (AMH) as a marker of polycystic ovary morphology, as included in the recently updated international guideline. Although different evaluations of age- and assay-specific reference ranges have been published in the past few years, these studies have mainly been conducted in normo-ovulatory or infertile women., Objective: To develop an age-specific percentile distribution of AMH in patients with polycystic ovary syndrome (PCOS) measured by 3 different assays., Design: Retrospective cross-sectional study., Patients: A total of 2725 women aged 20 to 40 years with PCOS diagnosis were included., Interventions: Serum AMH measurement by the Gen II (Beckman Coulter), the picoAMH (Ansh Labs), and the Elecsys (Roche) assays., Main Outcome Measures: Age-specific percentile curves for all the assays and correlations between AMH, clinical, hormonal, and ultrasound characteristics., Results: Age-related nomograms for the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles of AMH were calculated using the Lambda-Mu-Sigma method for all the assays. AMH levels were significantly different between PCOS phenotypes. AMH levels were positively correlated to LH, LH/FSH ratio, testosterone, androstenedione, free androgen index, mean follicular number, and mean ovarian volume., Conclusion: To our knowledge, this is the first study reporting age-specific percentile nomograms of serum AMH levels measured by the Gen II, the picoAMH, and the Elecsys assays in a large population of women with PCOS. These findings may help to interpret AMH levels in patients with PCOS and facilitate the use of AMH as a diagnostic tool across age ranges., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society.)

Background: Helsmoortel-Van der Aa syndrome was officially documented in 2014. Helsmoortel-Van der Aa syndrome is an extremely rare complex neurodegenerative disorder characterized by reduced intellectual capacity, motor dysfunction, facial dysmorphism, impaired development, and an increased predisposition to autism spectrum disorder. In addition, many patients also present with neuropsychiatric disorders, including attention deficit hyperactivity disorder, anxiety disorders, and various behavioral abnormalities. Helsmoortel-Van der Aa syndrome is challenging to identify solely on the basis of symptoms, and genetic investigations, including exome sequencing, may facilitate diagnosis., Case Presentation: We report a case of 13-year-old Saudi patient who presented with dysmorphic features as illustrated in Fig. 1, severe mental retardation, autism spectrum disorder, and attention deficit hyperactivity disorder. Initial genetic testing was unremarkable; thus, a clinical exome analysis was performed to identify the genetic basis of the condition., Conclusions: Clinical exome analysis indicated an autosomal dominant Helsmoortel-Van der Aa syndrome with a likely pathogenic de novo variant within the activity-dependent neuroprotector homeobox (ADNP) gene not previously reported in Helsmoortel-Van der Aa syndrome. The patient had a right-sided solitary kidney and polycystic ovaries, conditions that were not previously associated with HVDAS., (© 2024. The Author(s).)

Polycystic ovary syndrome is the most common endocrine disorder in women of reproductive age, which is still incurable. However, the symptoms can be successfully managed with proper medication and lifestyle interventions. Despite its prevalence, little is known about its etiology. In this review article, the up-to-date diagnostic features and parameters recommended on the grounds of evidence-based data and different guidelines are explored. The ambiguity and insufficiency of data when diagnosing adolescent women have been put under special focus. We look at some of the most recent research done to establish relationships between different gene polymorphisms with polycystic ovary syndrome in various populations along with the underestimated impact of environmental factors like endocrine-disrupting chemicals on the reproductive health of these women. Furthermore, the article concludes with existing treatments options and the scopes for advancement in the near future. Various therapies have been considered as potential treatment through multiple randomized controlled studies, and clinical trials conducted over the years are described in this article. Standard therapies ranging from metformin to newly found alternatives based on vitamin D and gut microbiota could shine some light and guidance toward a permanent cure for this female reproductive health issue in the future. [ABSTRACT FROM AUTHOR]

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrinologic disorder that is characterized by oligomenorrhea or amenorrhea and signs of hyperandrogenism. The cause of PCOS remains unknown, but the syndrome is associated with insulin resistance that in turn leads to hyperandrogenism. An accurate and prompt diagnosis of PCOS is important to understanding an adolescent's risk. In adolescents, both oligoovulation and hyperandrogenism are needed for the diagnosis of PCOS and ultrasound is not recommended. Lifelong health consequences of PCOS are significant and include obesity, diabetes, metabolic syndrome, and anovulatory infertility. The symptoms of PCOS can be disturbing to an adolescent girl., Competing Interests: Disclosure The authors have nothing to disclose., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Polycystic ovarian syndrome (PCOS) is a common endocrine disorder that primarily affects women of reproductive age. It is particularly prevalent among adolescent females who receive an insufficient diagnosis despite having potentially adverse consequences. The use of PCOS screening questionnaires has the potential to aid in the early detection of symptoms. The goal of this study is to observe if a self-administered questionnaire may be useful for a clear cognizance of the associated conditions like mental stress and menstrual characteristics correlated to polycystic ovary syndrome. In this study, we selected women within an age group of 17-40 with and without PCOS based on the modified Rotterdam criteria to fill out a self-administrated questionnaire based on the signs and symptoms of PCOS majorly focusing on mental stress and menstrual characteristics. SPSS software, univariate analyses were employed to elucidate the associations among the components of PCOS, demographic factors, and lifestyle characteristics, hence providing insights into the interrelationships among those variables. 64 women with PCOS and 141 women without PCOS participated in the present study. The present study revealed PCOS is greatly influenced by age at menarche ( p -value= .043), typical cycle length ( p -value = .000) mental health problems during menstruation ( p -value = .032), and body mass index ( p -value = .001). Multivariate hierarchical logistic regression analysis showed only 2 variables BMI (a-OR 1.156,95% CI (1.067-1.242), p -value = .000), and typical cycle length (a-OR 2.278, 95% CI (1.079-4.809), p-value = .003) were significant. The present study showed that BMI and menstrual cycle length were most closely associated with the incidence of PCOS, which is important in diagnosing and treating the condition. Considering the high incidence of PCOS among women of reproductive age and its potential for significant health implications, it would be prudent to incorporate inquiries regarding mental health concerns and menstrual patterns into routine medical assessments for this demographic analysis. This approach aims to ascertain whether additional diagnostic evaluations and screenings for PCOS are warranted.

Study Objective: The manner in which an individual experiences a polycystic ovary syndrome (PCOS) diagnosis may affect prognosis and vary with age. This study aimed to evaluate and compare the diagnosis experiences of adolescent and young adult PCOS patients., Methods: PCOS patients from the same institution were divided into two groups according to age and clinic (adolescents diagnosed in the adolescent medicine clinic and young adults diagnosed in the obstetrics and gynecology clinic). Patients completed a questionnaire designed to assess the information and support received during diagnosis, their satisfaction with this information, existing concerns regarding PCOS symptoms, and support requirements., Results: Thirty-six patients were included in each group. Among the participants, 52.8% of the adolescents and 63.9% of the young adults reported that they had consulted more than one specialist before receiving a diagnosis. We found that 83.3% of adolescents and 63.9% of young adults were satisfied with their overall PCOS diagnosis experience. The highest ratio of information given in both groups was related to medical treatment (88.9% in both groups), and the lowest ratios were associated with emotional support (13.9% vs 5.6%). Irregular menstruation was reported to be the most disturbing concern in both groups (94.4% vs 86.1%), and the biggest difference between the two groups was related to body dissatisfaction, which was observed more in adolescents (33.3% vs 5.6%)., Conclusion: While overall diagnosis experiences and satisfaction levels were similar across both groups, we identified distinct differences that may warrant attention to address age-specific needs and preferences., Competing Interests: Conflicts of Interest The authors report no proprietary or commercial interest in any product or concept discussed in this article., (Copyright © 2024. Published by Elsevier Inc.)

Polycystic ovary syndrome (PCOS) is an increasingly recognized endocrine disorder. The pathogenesis is not fully known. Polycystic ovary syndrome is still difficult to diagnose correctly, despite simple diagnostic criteria. The aim of the study is to review the current knowledge about PCOS and treatment options for patients with the disease. To explore this topic, publications were reviewed and conclusions drawn from them. The incidence of hyperandrogenism in a patient with PCOS may be as high as 60-80%. Increased androgen levels affect ovulation and menstruation, and also result in hirsutism and acne. Additionally, patients have problems with proper glucose tolerance (insulin resistance), type 2 diabetes, hypertension, cardiovascular diseases and metabolic syndrome. PCOS results in various symptoms in patients., The latest treatment methods were analysed. A standard review of publications in the field of diagnosis and treatment of PCOS, IR and hyperandrogenism was used., Lifestyle, especially diet, deserves special attention due to its ease of use. Sleep quality, physical activity and stress reduction are also important. Diet should be the treatment of first choice. Only if dietary intervention does not bring results, the doctor considers pharmacotherapy. Recently, acupuncture and herbal medicine, vagus nerve stimulation have been used in the treatment of PCOS and regulation of hormone levels. Patients are given supplementation to improve the quality of functioning, but it must be remembered that inappropriate doses or too long use may result in a toxic effect opposite to the therapeutic one., Appropriate diet, physical activity - lifestyle changes are crucial in the treatment of PCOS. Supplementation and pharmaceuticals support treatment. It is mandatory to examine these environmental and lifestyle factors as they not only contribute to the occurrence of the disease but also influence its progression.

Polycystic Ovarian Syndrome (PCOS) is a prevalent metabolic and hormonal disorder affecting women of reproductive age. Limited data exists on Syrian women's PCOS awareness and health behaviors. This study aimed to gauge PCOS prevalence, knowledge, awareness, and health-related practices among Syrian women. A cross-sectional online survey was conducted from 11 February to 27 October 2022, targeting Syrian women aged 18-45. Collaborators from specific medical universities distributed a questionnaire adapted from a Malaysian paper through social media platforms. Out of 1840 surveyed Syrian women, 64.2% were aged 21-29, and 69.6% held bachelor's degrees. Those with a bachelor's degree exhibited the highest mean knowledge score (12.86), and women previously diagnosed with PCOS had a higher mean knowledge score (13.74) than those without. Approximately 27.4% were confirmed PCOS cases, and 38.9% had possible cases. Women with PCOS were 3.41 times more likely to possess knowledge about the condition. The findings suggest a moderate level of PCOS knowledge and health-related practices among Syrian women, emphasizing the need for increased awareness. Consistent local PCOS screening programs, in collaboration with obstetrics and gynecology professionals, are crucial for improving understanding and clinical symptom recognition of this condition among Syrian women.

Polycystic ovary syndrome (PCOS) has been determined as one of the serious health problems among women which affects women's fertility and leads to crucial health conditions. Hence, early diagnosis of polycystic ovary syndrome can be effective in the treatment process. Recently, machine learning methods have acquired promising results in medical diagnosis. Furthermore, feature selection techniques which generate the most significant subset of features, can reduce the computational time and improve the performance of classifiers. Conventional single machine learning algorithms classify datasets in a single process with an individual model whereas ensemble machine learning algorithms create multiple process with a combination of two or more models which can achieve more accurate results. Therefore, considering the advantages of ensemble classifiers and feature selection methods, in this study, traditional and ensemble classifiers were applied on the Kaggle PCOS dataset to diagnose polycystic ovary syndrome. Furthermore, the performance of various classifiers (i.e., Ensemble Random Forest, Extra Tree, Adaptive Boosting (AdaBoost) and Multi-Layer Perceptron (MLP)) were investigated using the dataset with all features and reduced subsets of features which were generated by filter, embedded and wrapper feature selection methods. The experimental results demonstrated that the feature selection methods had beneficial effects on the improvement of the performance of all classifiers. Moreover, Ensemble Random Forest classifier by using the reduced subset of features based on the embedded feature selection method surpassed other classifiers with Accuracy of 98.89% and Sensitivity of 100% in this study and other studies in the literature. [ABSTRACT FROM AUTHOR]

Background: Polycystic ovary syndrome (PCOS) is the most prevalent female endocrinopathy. Although increased cardiovascular risk factors are well established for the syndrome, PCOS remains overlooked within the realm of cardiology. We conducted a systematic review and meta-analysis on the risk of clinical cardiovascular disease (CVD) events in women with PCOS to inform the 2023 International Evidence-Based PCOS Guideline., Methods and Results: A systematic review and meta-analysis was conducted comparing the risk of clinical CVD events in women with and without PCOS. Medline (Ovid), PsycInfo (Ovid), EMBASE, All EBM (Ovid), and CINAHL were searched from January 1, 2017, until March 1, 2023, to update the 2018 PCOS Guideline. Pooled odds ratios (ORs), incidence rate ratios (IRRs), and hazard ratios (HRs) were calculated. Twenty studies involving 1.06 million women (369 317 with PCOS and 692 963 without PCOS) were included. PCOS was associated with higher risk of composite CVD (OR, 1.68 [95% CI, 1.26-2.23]; I 2 = 71.0%), composite ischemic heart disease (OR, 1.48 [95% CI, 1.07-2.05]; I 2 = 81.0%), myocardial infarction (OR, 2.50 [95% CI, 1.43-4.38]; I 2 = 83.3%), and stroke (OR, 1.71 [95% CI, 1.20-2.44]; I 2 = 81.4%). The relationship with cardiovascular mortality was less clear (OR, 1.19 [95% CI, 0.53-2.69]; I 2 = 0%). Meta-analyses of IRRs support these findings. Results from pooled HRs were limited by the small number of studies and significant heterogeneity., Conclusions: This review provides evidence and highlights the importance of recognizing PCOS as a significant risk factor for CVD morbidity. The 2023 International Evidence-Based PCOS Guideline now recommends awareness of increased CVD risk and comprehensive risk assessment in PCOS to help mitigate the burden of CVD in this common and high-risk condition.

The study's primary objectives encompass the following: (i) To implement the object detection of ovarian follicles using you only look once (YOLO)v8 and subsequently segment the identified follicles using a hybrid fuzzy c-means-based active contour technique. (ii) To extract statistical features and evaluate the effectiveness of both machine learning (ML) and deep learning (DL) classifiers in detecting polycystic ovary syndrome (PCOS). The research involved a two different dataset in which dataset1 comprising both normal (N = 50) and PCOS (N = 50) subjects, dataset 2 consists of 100 normal and 100 PCOS affected subjects for classification. The YOLOv8 method was employed for follicle detection, whereas statistical features were derived using Gray-level co-occurrence matrices (GLCM). For PCOS classification, various ML models such as Random Forest (RF), k- star, and stochastic gradient descent (SGD) were employed. Additionally, pre-trained models such as MobileNet, ResNet152V2, and DenseNet121 and Vision transformer were applied for the categorization of PCOS and healthy controls. Furthermore, a custom model named Follicles Net (F-Net) was developed to enhance the performance and accuracy in PCOS classification. Remarkably, the F-Net model outperformed among all ML and DL classifiers, achieving an impressive classification accuracy of 95% for dataset1 and 97.5% for dataset2 respectively in detecting PCOS. Consequently, the custom F-Net model holds significant potential as an effective automated diagnostic tool for distinguishing between normal and PCOS., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 S. et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Although polycystic ovary syndrome (PCOS) is a very common endocrinopathy, there are several issues related to this disorder which perplex clinicians in their everyday practice., Objective: To determine the current state of knowledge among European endocrinologists concerning the full spectrum of PCOS., Methods: An online survey comprising 41 items covering various aspects of PCOS diagnosis and management was distributed to members of the European Society of Endocrinology., Results: A total of 505 European endocrinologists (64% females), with a mean age of 47 ± 11.6 years, participated in the survey. The Rotterdam criteria were the primary diagnostic tool for 85% of respondents. Most referrals (87.1%) occurred between ages 20 and 40 years. Twenty-five percent of physicians have access to mass spectrometry for the evaluation of androgen levels. While an extended metabolic profile was commonly employed as part of the workup, there was uncertainty regarding chronic anovulation diagnosis. Diabetes, including gestational or type 2, was recognized as a significant risk factor with universal screening irrespective of BMI status. Lifestyle modification and metformin were considered as standard interventions by all participants alongside oral contraceptives, though there was significant discrepancy in treatment duration., Conclusions: The Rotterdam diagnostic criteria are widely adopted for PCOS diagnosis among European endocrinologists. The current updated survey shows an emphasis on steroid profiling as an important part of diagnostic workup and a strong position held for recognition of PCOS as a metabolic condition with potentially serious implications. Current therapy thus shifted to the demand for prioritizing lifestyle interventions and metabolic therapies, either as monotherapy or in combination with standard hormone compounds., Competing Interests: Conflict of interest: Coauthor A.G. is on the editorial board of EJE. A.G. was not involved in the review or editorial process for this paper, on which A.G. is listed as an author. The other authors have nothing to disclose., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Endocrinology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Aim: To establish cut-off values for anti-Müllerian hormone (AMH) and antral follicle count (AFC) in the diagnostic criteria for polycystic ovary syndrome (PCOS) applicable to the Japan Society of Obstetrics and Gynecology (JSOG) 2024 criteria and the Rotterdam/International Evidence-Based Guideline for the assessment and management of PCOS (IEBG) 2023 criteria based on a nationwide survey, respectively, taking into account age, assays, and structure of the diagnostic criteria., Methods: Data were collected for 986 PCOS cases and 965 control cases using a national survey in Japan and used to establish cut-off values for AMH and AFC., Results: Serum AMH levels were significantly higher in the PCOS group compared to the control group. Serum AMH showed a significant negative correlation with age and significant positive correlation with AFC in both groups. In multiple regression analysis, serum AMH level was independently affected by AFC and total testosterone. AMH cut-off values suitable for the JSOG 2024 criteria and the Rotterdam/IEBG 2023 criteria were separately established for the 20-29 and 30-39 years of age groups, respectively, and for Access, Lumipulse and Elecsys/ECLusys, respectively. AFC cut-off values suitable for the JSOG 2024 criteria and Rotterdam/IEBG 2023 criteria were also established separately. AFC exhibited statistically greater variability than AMH., Conclusion: The serum AMH level is the biochemical representation of ovarian findings in PCOS and considered objective and highly reliable. Therefore, it could serve as a surrogate for AFC as a marker of polycystic ovarian morphology in diagnostic criteria., (© 2024 The Authors. Journal of Obstetrics and Gynaecology Research published by John Wiley & Sons Australia, Ltd on behalf of Japan Society of Obstetrics and Gynecology.)

Introduction: Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder. Atrial natriuretic peptide (ANP) is a risk factor for PCOS. Corin protein has an essential role in ANP synthesis. This study aimed to evaluate corin as a sensitive biomarker for PCOS., Materials and Methods: A case-control study was conducted with 70 PCOS patients and 70 healthy females. Plasma Corin levels were quantified using enzyme-linked immunosorbent assay., Results: The median plasma corin levels in PCOS patients and controls were 1785 and 822.5 pg/mL, respectively. Plasma corin levels were significantly elevated in PCOS patients than in the controls (p < 0.001). The optimal cut-off value was set at 1186 pg/mL. The sensitivity and specificity of Corin were 100% and 97.1%, respectively. Plasma corin levels were surrogate predictors for infertility in women with PCOS. It had an odds ratio of 5.9 (95% confidence interval: 1.1-32.7) (p = 0.04). Plasma corin levels were more highly detected in patients with PCOS than in the controls., Conclusion: Plasma corin level has reasonable diagnostic interpretation for PCOS. Corin appears as a worthy distinct predictor of infertility in PCOS women. Therefore, Corin may be a substantial biomarker for PCOS., (© 2024. The Author(s).)

Background: The roles of IL-10, IL-11, COX-2, BCL6, ZEB1, and ZEB2 genes in the potential correlation between polycystic ovary syndrome (PCOS), inflammation, and cancer remain controversial., Aims: This study aimed to compare serum levels of IL-10 and IL-11 and gene expression of IL-10, IL-11, COX-2, BCL6, ZEB1, and ZEB2 in PBMCs of women with PCOS and healthy controls., Methods: A case-control study included 40 women with PCOS as the case group and 40 healthy women as controls. Group matching for age and BMI was performed. Serum levels of IL-10 and IL-11 were assessed using ELISA, while gene expression was measured using real-time PCR. Parameters were compared between groups, and correlations among gene expression and serum levels were explored., Results: In comparison to healthy women, women with PCOS exhibited a significant decrease in the expression of COX-2 and IL-10 genes (p<0.001), alongside a significant increase in ZEB2 gene expression (p<0.001). There were no significant differences observed in the expression of IL-11, BCL6, and ZEB1 genes. Furthermore, the serum level of IL-10 was significantly lower in women with PCOS compared to the control group (p<0.001), while no significant difference was found in IL-11 levels. Additionally, no significant correlations were identified between gene expression and serum levels., Conclusion: In women with PCOS, reduced IL-10 gene expression may indicate inflammation and serve as a diagnostic biomarker. However, conflicting findings on COX-2 expression complicate understanding. Elevated ZEB2 expression in PCOS women may lead to infertility, epithelial-mesenchymal transition, and aggressive phenotypes., Competing Interests: Declaration of Competing Interest None., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Aim: Exclusion of polycystic ovarian morphology (PCOM) from the diagnostic criteria for adolescent polycystic ovary syndrome (PCOS) has been proposed. We analyzed the profiles of adolescent women with suspected PCOS based on the Japan Society of Obstetrics and Gynecology (JSOG) diagnostic and Rotterdam criteria, excluding those with PCOM., Methods: Thirteen- to twenty-one-year-old women with suspected or confirmed diagnosis of PCOS according to the JSOG and Rotterdam criteria were included in this study. Patient characteristics such as hormone levels and body mass index (BMI) were compared between the groups. Correlations between BMI and testosterone, and BMI and time to diagnosis were also analyzed., Results: Twenty-nine patients were diagnosed with adolescent PCOS according to the JSOG criteria, and 11 patients according to the Rotterdam criteria after excluding the patients fulfilling the PCOM criteria. Serum testosterone levels were significantly higher in adolescents diagnosed with PCOS using the Rotterdam criteria than in those diagnosed using the JSOG criteria (p < 0.001). The obese group had significantly higher testosterone levels and a longer time from menarche to PCOS diagnosis. A positive correlation was observed between BMI and testosterone levels (r = 0.318, p = 0.014)., Conclusion: Although adolescents with PCOS diagnosed using the Rotterdam criteria exhibited higher testosterone levels, which is a typical characteristic of this condition, the JSOG criteria may be useful for the early diagnosis of adolescent PCOS, including suspected cases. The differences between the two criteria may reflect the natural history of PCOS and its different reproductive and metabolic phenotypes., (© 2024 The Authors. Journal of Obstetrics and Gynaecology Research published by John Wiley & Sons Australia, Ltd on behalf of Japan Society of Obstetrics and Gynecology.)

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., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Polycystic ovarian syndrome (PCOS) is an endocrinal disorder characterized by multiple tiny cysts, amenorrhea, dysmenorrhea, hirsutism, and infertility. The current diagnostic tools comprise of expensive, time-consuming ultrasonography to serological test, which have low patient compliance. To address these limitations, we have developed a highly sensitive, cost effective and ultrafast immunosensor for the diagnosis of PCOS. Herein, we have fabricated a 2-D electro conductive composites of reduced Graphene oxide (rGO), Molybdenum disulfide (MoS 2 ), and Polyaniline (PANI) as electrode material. Furthermore, for detecting an early and non-cyclic biomarker of PCOS, i.e. anti-Mullerian hormone (AMH). We utilize the specific antigen-antibody mechanism, in which monoclonal Anti-AMH antibodies were covalently immobilized using EDC-NHS chemistry on electrode. The developed biosensor was physicochemical and electrochemically characterized to demonstrate its efficiency. Further we have investigated the biosensor's performance with Cyclic Voltammetry, Differential Pulse Voltammetry, and Electrochemical Impedance Spectroscopy. We have validated that under the optimized condition the immunosensor exhibits higher sensitivity with a LOD of ∼ 2.0 ng/mL with a linear range up to 100 ng/mL. Furthermore, this immunosensor works efficiently with a lower sample volume (>5 μL), which provides a sensitive, reproducible, low-cost, rapid analysis to detect AMH level in PCOS diagnosis., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Polycystic ovary syndrome (PCOS) is a common endocrinopathy worldwide with a heterogeneous clinical presentation including reproductive, metabolic, and endocrine elements. However, the assessment and management of PCOS remains inconsistent, with many women undiagnosed and untreated. We now also understand that the management of PCOS should extend throughout a woman's lifespan as many elements of the syndrome persist after menopause. Management has traditionally focused on the treatment of hyperandrogenism and oligomenorrhea. Women with PCOS often have dyslipidemia, hypertension, obesity, and metabolic syndrome, which may be worsened by the hormonal abnormalities, and are therefore at higher risk for cardiovascular disease morbidity and mortality, a risk that increases after menopause. While treatment with hormonal therapy, in particular combined oral contraceptives, may improve cardiovascular risk factors, management plans should incorporate specific diagnosis and management of these factors, if present, because of the strong contribution to the risk for atherosclerotic cardiovascular disease. Given the complexities of the syndrome, optimal management often requires a multi-disciplinary approach including the lipid and cardiometabolic specialist to provide counseling and support for lifestyle modification along with pharmacologic therapy as indicated to address the full range of any reproductive, endocrine, and cardiometabolic abnormalities., Competing Interests: Declaration of competing interest Merle Myerson Consultant, Novartis Rodis Paparodis none Robert Block research support: Novartis, Ionis, Amgen Dean Karalis consultant, Novartis Guy Mintz Janssen Pharmaceuticals (Speaker), Esperion (Advisory Board) Eliot Brinton Research: Regeneron. Consultant/advisor: 89bio, Amarin, Amgen, Amryt, CSL Behring, Immunovant, Merck, New Amsterdam, Regeneron. Speakers’ bureau: Amarin, Amgen, Amryt, CSL Behring Robert Wild May Health (Consultant), Mass General Partners (Biostatistical Consultant), Quest (contract for lipid measurement), (Copyright © 2024. Published by Elsevier Inc.)

Objective: While highly prevalent, risk factors for incident polycystic ovary syndrome (PCOS) are poorly delineated. Using a population-based cohort, we sought to identify predictors of incident PCOS diagnosis. Materials and Methods: A matched case-control analysis was completed utilizing patients enrolled in Kaiser Permanente Washington from 2006 to 2019. Inclusion criteria included female sex, age 16-40 years, and ≥3 years of prior enrollment with ≥1 health care encounter. PCOS cases were identified using International Classification of Diseases codes. For each incident case ( n = 2,491), 5 patients without PCOS ( n = 12,455) were matched based on birth year and enrollment status. Potential risk factors preceding diagnosis included family history of PCOS, premature menarche, parity, race, weight gain, obesity, valproate use, metabolic syndrome, epilepsy, prediabetes, and types 1 and 2 diabetes. Potential risk factors for incident PCOS diagnosis were assessed with univariate and multivariable conditional logistic regressions. Results: Mean age of PCOS cases was 26.9 years (SD 6.8). PCOS cases, compared with non-PCOS, were more frequently nulliparous (70.9% versus 62.4%) and in the 3 years prior to index date were more likely to have obesity (53.8% versus 20.7%), metabolic syndrome (14.5% versus 4.3%), prediabetes (7.4% versus 1.6%), and type 2 diabetes (4.1% versus 1.7%) ( p < 0.001 for all comparisons). In multivariable models, factors associated with higher risk for incident PCOS included the following: obesity (compared with nonobese) Class I-II (body-mass index [BMI], 30-40 kg/m 2 ; odds ratio [OR], 3.8; 95% confidence interval [CI], 3.4-4.2), Class III (BMI > 40 kg/m 2 ; OR, 7.5, 95% CI, 6.5-8.7), weight gain (compared with weight loss or maintenance) of 1-10% (OR, 1.7, 95% CI, 1.3-2.1), 10-20% (OR, 1.9; 95% CI, 1.5-2.4), and >20% (OR, 2.6; 95% CI, 1.9-3.6), prediabetes (OR, 2.7; 95% CI, 2.1-3.4), and metabolic syndrome (OR, 1.8: 95% CI, 1.5-2.1). Conclusion: Excess weight gain, obesity, and metabolic dysfunction may play a key role in the ensuing phenotypic expression of PCOS. Treatment and prevention strategies targeted at preventing weight gain in early reproductive years may help reduce the risk of this syndrome.

Primary diseases of adipose tissue are rare disorders resulting from impairments in the physiological functions of adipose tissue (lipid stockage and endocrine function). It mainly refers to lipodystrophy syndromes with subcutaneous adipose tissue atrophy and/or altered body distribution of adipose tissue leading to insulin resistance, diabetes, hepatic steatosis, dyslipidemia, cardiovascular complications and polycystic ovary syndrome in women. Those syndromes are congenital or acquired, and lipoatrophy is partial or generalized. The diagnosis of lipodystrophy syndromes is often unrecognized, delayed and/or inaccurate, while it is of major importance to adapt investigations to search for specific comorbidities, in particular cardiovascular involvement, and set up multidisciplinary care, and in some cases specific treatment. Physicians have to recognize the clinical and biological elements allowing to establish the diagnosis. Lipodystrophic syndromes should be considered, notably, in patients with diabetes at a young age, with a normal or low BMI, negative pancreatic autoantibodies, presenting clinical signs of lipodystrophy and insulin resistance (acanthosis nigricans, hyperandrogenism, hepatic steatosis, high insulin doses). The association of diabetes and a family history of severe and/or early cardiovascular disease (coronary atherosclerosis, cardiomyopathy with rhythm and/or conduction disorders) may reveal Dunnigan syndrome, the most frequent form of familial lipodystrophy, due to LMNA pathogenic variants. Clinical assessment is primarily done through clinical examination: acanthosis nigricans, abnormal adipose tissue distribution, lipoatrophy, muscular hypertrophy, acromegaloid or Cushingoid features, lipomas, highly visible subcutaneous veins, may be revealing signs. The amount of circulating adipokines may reflect of adipose dysfunction with low leptinemia and adiponectinemia. Other biological metabolic parameters (hypertriglyceridemia, hyperinsulinemia, increased glycemia and hepatic enzymes) may also represent markers of insulin resistance. Quantification of total body fat by impedancemetry or dual-photon X-ray absorptiometry (DEXA) reveals decreased total body mass, in correlation with adipose tissue atrophy; metabolic magnetic resonance imaging can also quantify intraperitoneal and abdominal fat and the degree of hepatic steatosis. Histological analysis of adipose tissue showing structural abnormalities should be reserved for clinical research. Acquired lipodystrophic syndromes most often lead to similar clinical phenotype as congenital syndromes with generalized or partial lipoatrophy. The most frequent causes are old anti-HIV therapy or glucocorticoid treatments. Family history, history of treatments and clinical examination, including a careful physical examination, are keys for diagnosis., (Copyright © 2024. Published by Elsevier Masson SAS.)

Abdominal pregnancy is a rare form of ectopic pregnancy where implantation and development of the egg take place in the peritoneal cavity outside the tubo-uterine mucosa, in contact with intestinal loops. Diagnosis is most often difficult. We report the case of a 32-year-old woman (gravida 1, para 1), with a history of PCOS, diagnosed with abdominal pregnancy at 20 weeks of amenorrhea complicated by acute intestinal obstruction. Diagnosis was confirmed by abdomino-pelvic scan. Surgery was performed with the patient under general anesthesia. She presented a macerated fetus with an infiltration of the placenta causing a perforation of the sigmoid colon and uterus. Hartmann's procedure was performed and the perforation of the uterus was sutured. Abdominal pregnancy remains a rare variety of ectopic pregnancy. Preoperative diagnosis is difficult due to the presence of a variety of non-specific symptoms. This type of ectopic pregnancy remains challenging for gynecologists and radiologists.

Polycystic ovary syndrome (PCOS) is defined as the combination of polycystic morphology, hyperandrogenism, and ovulatory disruption; this heterogeneity presents a conundrum for the medical community. The Rotterdam criteria have governed the diagnosis of PCOS, separating the patient cohort into four distinct phenotypes. It has been suggested that the lone normoandrogenic phenotype, so-called phenotype D, should not be classified as a PCOS subtype, with phenotypes A, B, and C displaying a hyperandrogenic biochemical and clinical profile thought to be characteristic of PCOS. To understand how to treat phenotype D patients, this review shines a spotlight on the phenotype, gathering various reports of how phenotype D is differentiated from the other PCOS phenotypes., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Polycystic Ovary Syndrome (PCOS) and Autoimmune Thyroiditis (AIT) are two prevalent endocrine disorders affecting women, often coexisting within the same patient population. This meta-analysis aims to systematically assess and synthesize the existing body of literature to elucidate the intricate relationship between PCOS and AIT. A systematic literature search for relevant observational studies was conducted in electronic databases such as Web of Science, Google Scholar, PubMed, Cochrane, and Scopus until March 2023. All Statistical analyses were performed using CMA Software v3.7 in a random-effects network meta-analysis. In addition, sensitivity and meta-regression analyses were conducted to identify sources of Heterogeneity based on related risk factors. Our meta-analysis included eighteen studies with 3657 participants, which revealed significant differences between PCOS patients and control groups. In particular, a considerable association was detected between PCOS and the presence of AIT (OR = 2.38; 95% CI: 1.63-3.49; P< 0.001) and elevated levels of TSH (SMD = 0.24; 95% CI: 0.06-0.42; P= 0.01), anti-TPO (SMD = 0.36; 95% CI: 0.19-0.53; P< 0.001), anti-TG (SMD = 1.24; 95% CI: 0.37-2.10; P< 0.001), and other positive serum antibodies compared to the control groups. The findings from this meta-analysis may contribute to enhanced diagnostic strategies like complete thyroid function tests, more targeted interventions, and improved patient care for individuals presenting with both PCOS and AIT. Additionally, identifying commonalities between these conditions may pave the way for future research directions, guiding the development of novel therapeutic approaches that address the interconnected nature of PCOS and AIT., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Purpose: Polycystic ovary syndrome (PCOS) is an endocrine disorder that primarily affects women of reproductive age. It is recognized as the leading cause of infertility due to anovulation. This research aims to evaluate the diagnostic potential of oxidative stress biomarkers, including advanced oxidation protein products (AOPP), malondialdehyde (MDA), uric acid (UA), and nitric oxide (NO), in identifying PCOS., Methods: A literature search was conducted in the EMBASE, PubMed, Cochrane Library, and Scopus databases. The standardized mean difference (SMD) and 95% confidence interval (CI) were employed to assess the correlation between free radical product and PCOS. Moreover, the presence of heterogeneity among the studies was assessed utilizing the I 2 statistic and Cochran Q test. The methodological rigor of the incorporated studies was assessed through the application of the Newcastle-Ottawa Scale. Furthermore, the presence of publication bias was determined via Begg and Egger tests., Results: This meta-analysis reviewed 38 observational studies, including 17,845 women. The results revealed a significant association between PCOS in women and alterations in free radical levels. The study revealed that the PCOS group had significantly higher levels of AOPP (SMD = 3.193; 95% CI, 2.86 to 3.25), UA (SMD = 0.68; 95% CI, 0.24 to 1.13), and MDA (SMD = 1.16; 95% CI, 0.77 to 1.56) compared to the healthy control group. Furthermore, the analysis found a significantly lower level of NO (SMD = (- 0.59); 95% CI, - 1.15 to - 0.03) in the PCOS patient., Conclusion: Screening of specific biomarkers associated with free radical products could provide valuable benefits in the prognosis and diagnosis of PCOS., (© 2024. The Author(s), under exclusive licence to Society for Reproductive Investigation.)

Background: The complex correlation between ethnicity and race, clinical hyperandrogenism as signified by hirsutism, and biochemical androgen concentrations in polycystic ovary syndrome (PCOS) is poorly understood., Study Objective: The aim of this study was to define the correlation between ethnicity/race and hirsutism score in patients with PCOS., Methods: We conducted a retrospective chart review of a total of 251 patients with PCOS at the time of diagnosis. Patients were categorized by their ethnicity and race into 5 main groups: Asian (n = 19, 7.6%), Black or African American (n = 11, 4.4%), Hispanic or Latino (n = 26, 10.3%), White (n = 177, 70.5), and others (n = 18, 7.2%). A general linear model was applied using BlueSky software., Results: For the entire study population, the mean age at diagnosis was 15.6 ± 1.7, the mean body mass index (BMI) was 30.6 ± 9.8, the mean hirsutism score using the modified Ferriman-Gallwey score chart was 6.2 ± 3.8, and the mean total testosterone was 40.1 ± 20. The hirsutism score was the highest in the Asian population (mean = 9.1, P = .002) and Hispanic or Latino population (mean = 7.8, P = .02), followed by others (mean = 7.4, P = .04) and the Black or African American population (mean = 7.1, P = .2), compared with the White population (mean = 5.4). This correlation remained significant despite accounting for BMI and androgen levels (P < .001)., Conclusion: There are factors likely related to hair follicle sensitivity or endogenous response to circulating free androgens that differ between ethnicities and races, such that similar biochemical concentrations lead to differing severity of hirsutism, despite accounting for differences in BMI and androgen levels. More research is needed in this realm to understand the pathophysiologic basis of this interaction., Competing Interests: Conflicts of Interest The authors have no conflicts of interest to declare., (Copyright © 2023. Published by Elsevier Inc.)

Objective: To derive and internally validate a clinical prediction model for live birth (LB) in women with polycystic ovary syndrome (PCOS) undergoing in vitro fertilization (IVF)., Design: Retrospective cohort study., Setting: Four academic reproductive endocrinology clinics., Patients: A total of 207 women with PCOS confirmed using Rotterdam criteria undergoing their first fresh IVF cycle., Interventions: Not applicable., Main Outcome Measure: The primary outcome was cumulative LB per IVF cycle start. This included any LB that resulted from either fresh embryo transfer or any subsequent frozen embryo transfer from embryos obtained at the index oocyte retrieval. A prediction model was derived using multivariable logistic regression. Covariates considered for inclusion in the prediction model included demographic characteristics, medical history, and prior fertility treatment. Predicted probabilities for LB were calculated using the prediction model which included the 90% shrinkage factor for each adjusted odds ratio., Results: The final model, on the basis of maximization of the area under the receiver operating characteristic curve, included age < 35 years, White race, presence of polycystic ovaries on ultrasound (polycystic ovary morphology), normal body mass index (<25 kg/m 2 ), being metabolically healthy (no metabolic risk factors), and being a nonresponder to ovulation induction agents including letrozole and clomiphene citrate. The area under the receiver operating characteristic curve score for the model was 0.68 (95% confidence interval [CI]: 0.60, 0.77). Predicted probabilities of LB ranged from 8.1% (95% CI: 2.8, 21.5) for a woman who had no favorable predictors to 74.2% (95% CI: 59.5, 84.9) for a woman who had all favorable predictors., Conclusion: Our study demonstrated that, in addition to anovulation, the underlying pathophysiology and associated comorbidities alter the likelihood of a successful pregnancy in women with PCOS undergoing IVF. Further validation of this model is needed before it can serve as a tool to personalize prediction estimates for the probability of LB in women with PCOS., Competing Interests: Declaration of Interests L.G.C. has nothing to disclose. M.D.S. has nothing to disclose. I.L. has nothing to disclose. M.A.C. has nothing to disclose. M.G. has nothing to disclose. E.S. has nothing to disclose. S.B. has nothing to disclose. B.T.F. reports funding from Pfizer and Merck and consulting fees from Astellas outside the submitted work. A.D. has nothing to disclose., (Copyright © 2024. Published by Elsevier Inc.)