Diagnosis of Polycystic Ovary Syndrome: AMH in combination with clinical symptoms

Should anti-Müllerian hormone be a diagnosis criterion for polycystic ovary syndrome? An in-depth review of pros and cons

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology (PCOM). Despite the widespread use of the Rotterdam criteria, challenges in diagnostic accuracy persist. Anti-Müllerian hormone (AMH), a glycoprotein secreted by ovarian follicles, has emerged as a promising biomarker for refining diagnosis due to its strong correlation with follicular count and elevated levels in women with PCOS. This review critically evaluates the advantages and limitations of incorporating AMH into PCOS diagnostic criteria. Elevated AMH levels are indicative of PCOM and anovulation, offering a non-invasive diagnostic tool that minimizes interobserver variability in ultrasound-based assessments. Additionally, AMH remains stable throughout the menstrual cycle and aligns with phenotypic diversity in PCOS, potentially supporting individualized management strategies. However, significant challenges remain. Variability in AMH assay methods, the absence of comparable cut-off values, and influences of age, ethnicity, and obesity on AMH levels limit its universal applicability. Additionally, AMH cut-offs for PCOS diagnosis, ranging from 3.5 to 5 ng/mL, raises questions about its clinical relevance, as there is not clear evidence of its biological significance. The review also highlights AMH's clinical utility in reproductive medicine, particularly in predicting ovarian response to stimulation, tailoring gonadotropin dosages, and optimizing assisted reproductive technology outcomes. While AMH holds promise as a complementary diagnostic criterion for PCOS, its fully integration into clinical practice requires further validation through standardized assays, population-specific cut-offs, and robust studies to address existing limitations. In conclusion, AMH harbours the potential to enhance the specificity and sensitivity of PCOS diagnosis, particularly in dubious cases. However, the inclusion of AMH in the current criteria for diagnosing PCOS still requires addressing methodological challenges and balancing its benefits against inherent limitations.

Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis

Background/Objectives: Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder with significant clinical and reproductive implications. Identifying dose-response relationships between clinical, physical, and reproductive factors and PCOS can enhance diagnostic accuracy and inform treatment strategies. This study utilized a data-driven approach to analyze the associations between key factors, including age, weight, menstrual cycle length, Anti-Mullerian Hormone (AMH) levels, and follicle count, with PCOS prevalence. Methods: A retrospective analysis was conducted on a dataset of 539 participants to determine the optimal ranges of these factors associated with an increased likelihood of PCOS diagnosis. Statistical analyses were conducted using Python, including correlation matrix, univariate and multivariate logistic regression, and dose-response evaluations. Results: Our findings demonstrated that the risk of PCOS increases positively in women under 32 years of age. AMH levels above 4.18 ng/mL were strongly associated with PCOS, suggesting that higher AMH levels may reflect excessive follicular activity rather than enhanced ovarian function. Weight was positively correlated with PCOS, emphasizing the role of metabolic disturbances in its pathophysiology. Additionally, menstrual cycle length exhibited a non-linear association with PCOS, with both shortened and prolonged cycles being indicative of hormonal dysregulation. A higher follicle count was consistently linked to PCOS, reinforcing its diagnostic significance. Conclusions: This study provides evidence of non-linear dose-response relationships between PCOS and clinical, physical, and reproductive factors. The proposed optimal ranges may serve as valuable reference points for clinicians, aiding in early diagnosis and personalized management strategies for women with PCOS.

Anti-Müllerian hormone as a diagnostic marker of polycystic ovary syndrome: a systematic review with meta-analysis

OBJECTIVE

To determine whether serum anti-Müllerian hormone measurement can be used as a diagnostic marker for polycystic ovary syndrome compared to serum androgen measurement and transvaginal/transabdominal ultrasound.

DATA SOURCES

A systematic literature review and meta-analysis were conducted. Electronic and manual searches were carried out in the Cochrane Library, Embase, Latin American and Caribbean Health Sciences Literature (LILACS), PubMed, Scopus, Web of Science, and Google Scholar databases.

STUDY ELIGIBILITY CRITERIA

Studies conducted in humans, published in any language up to August 2023, and addressing the following research question were included: "Can serum anti-Müllerian hormone levels be used as a diagnostic marker of polycystic ovary syndrome in comparison to serum androgen levels and transvaginal/transabdominal ultrasound?" Furthermore, only articles that used the Rotterdam (2003) criteria, the National Institutes of Health (1990) criteria, the Androgen Excess and Polycystic Ovary Syndrome Society criteria, or the Evidence-based Guidelines on polycystic ovary syndrome from 2013, 2018, and 2023 for diagnosing women with polycystic ovary syndrome were included.

STUDY APPRAISAL AND SYNTHESIS METHODS

Two independent reviewers selected the studies and extracted and analyzed the data. The Quality Assessment of Diagnostic Accuracy Studies-2 and Grades of Recommendation, Assessment, Development, and Evaluation Working Group tools were used to analyze the risk of bias and certainty of evidence.

RESULTS

This systematic review included 45 studies. The studies exhibited a low risk of bias in the "Reference standard" and "Flow and time" domains but showed a moderate risk of bias in the "Patient selection" domain and a high risk of bias in the "Index test" domain. The meta-analysis of the case-control studies demonstrated a sensitivity of 81% and specificity of 82%, whereas the meta-analysis of the cross-sectional studies showed a sensitivity of 80% and specificity of 85%, both with 95% confidence intervals. The certainty of the evidence was rated as "low."

CONCLUSION

This systematic review showed that serum anti-Müllerian hormone levels can serve as a diagnostic marker for polycystic ovary syndrome when factors such as age, test standardization, polycystic ovary syndrome phenotypes, and body mass index are considered. Otherwise, anti-Müllerian hormone should be used as an adjuvant to the polycystic ovary syndrome diagnostic criteria established through consensus and/or guidelines. Additionally, serum concentrations reflected the severity of this syndrome.

New insights into the relationship of antimüllerian hormone with polycystic ovary syndrome and its diagnostic accuracy: an updated and extended meta-analysis using a marginal beta-binomial model

OBJECTIVE

This study aimed to investigate the diagnostic role of antimüllerian hormone in polycystic ovary syndrome using an advanced marginal beta-binomial statistical model, and present the optimal cutoff by different age groups, geographical locations, body mass indexes, and other relevant factors.

DATA SOURCES

A comprehensive and systematic literature search was conducted in Web of Science, PubMed/Medline, Scopus, Cochrane Library, Embase, and ProQuest until August 2024.

STUDY ELIGIBILITY CRITERIA

Epidemiologic studies that used the Androgen Excess and Polycystic Ovary Syndrome Society, National Institutes of Health, or Rotterdam diagnostic criteria for polycystic ovary syndrome were included in this meta-analysis. Studies were eligible for inclusion if they provided information on the sensitivity and specificity of antimüllerian hormone or related data that allowed for the calculation of these parameters, and/or data on odds ratios and means.

METHODS

The diagnostic efficacy of antimüllerian hormone was assessed using the marginal beta-binomial statistical model and the summary receiver operating characteristic method in terms of pooled sensitivity, specificity, and diagnostic odds ratio with 95% confidence interval. Pooled weighted mean difference and pooled odds ratios with 95% confidence interval were estimated using a random effects model.

RESULTS

A total of 202 observational studies were included in the pooled analysis, of which 106 studies (including 19,465 cases and 29,318 controls) were used for meta-analysis of sensitivity/specificity and 186 studies (including 30,656 cases and 34,360 controls) for meta-analysis of mean difference. The pooled sensitivity, specificity, and diagnostic odds ratio for antimüllerian hormone were 0.79 (95% confidence interval, 0.52-0.97), 0.82 (95% confidence interval, 0.64-0.99), and 17.12 (95% confidence interval, 14.37-20.32), respectively. The area under the curve based on the summary receiver operating characteristic model was 0.90 (95% confidence interval, 0.87-0.93). Antimüllerian hormone levels were significantly higher in women with polycystic ovary syndrome than in control women (weighted mean difference, 4.91; 95% confidence interval, 4.57-5.27). In addition, individuals with higher antimüllerian hormone levels were more likely to be affected by polycystic ovary syndrome (odds ratio, 23.17; 95% confidence interval, 18.74-28.66; I2=94%; P<.001). A serum antimüllerian hormone concentration of >5.39 ng/mL was associated with polycystic ovary syndrome (sensitivity, 88.6%; specificity, 92.75%; likelihood ratio for a positive test result, 12.21; likelihood ratio for a negative test result, 0.12).

CONCLUSION

According to the results of this meta-analysis, serum antimüllerian hormone concentration is a valuable biomarker for the diagnosis of polycystic ovary syndrome. The cutoff points suggested by the current meta-analysis need to be evaluated and validated by future studies before their implementation into clinical practice.

Prevalence and correlates of diagnosed and probable polycystic ovary syndrome (PCOS) in a cohort of parous women

Correlates of diagnosed and probable polycystic ovary syndrome (PCOS) among parous women were assessed in this study. A total of 557 women were recruited from multi-specialty clinics in eastern Massachusetts. The women were categorized as being diagnosed with PCOS based on medical records and self-reported clinician-diagnoses. A category of "probable PCOS" was created for women without a diagnosis but with ≥ 2 of the following: ovulatory dysfunction (cycle length < 21 or ≥ 35 days), hyperandrogenism (free testosterone concentration > 75th percentile), or elevated anti-Müllerian hormone (AMH) concentration (> 75th percentile). The remaining participants were placed in the "no PCOS" category, and characteristics were compared across groups. Of the total cohort, 9.7% had diagnosed and 9.2% had probable PCOS. The frequency of irregular cycles was similar for diagnosed and probable PCOS. Free testosterone and AMH levels were higher in women with probable than with diagnosed PCOS. Frequency of irregular cycles and both hormones were higher for the 2 PCOS groups vs the no PCOS group. Obesity prevalence for diagnosed PCOS was twice that of probable PCOS (43.9% vs 19.6%), yet the 2 groups had similar HbA1c and adiponectin values. Women with probable PCOS are leaner but have comparable glycemic traits to those with a formal diagnosis, highlighting the importance of assessing biochemical profiles among women with irregular cycles, even in the absence of overweight/obesity.

A genome-wide association study of anti-Müllerian hormone (AMH) levels in Samoan women

Study question

Can a genome-wide association study (GWAS) and transcriptome-wide association study (TWAS) help identify genetic variation or genes associated with circulating anti-Müllerian hormone (AMH) levels in Samoan women?

Summary answer

We identified eleven genome-wide suggestive loci (strongest association signal in ARID3A 19-946163-G-C [ p = 2.32 × 10⁻⁷]) and seven transcriptome-wide significant genes ( GINS2, SENP3, USP7, TUSC3, MAFA, METTL4, NDFIP1 [all with a p < 2.50 × 10⁻⁶]) associated with circulating AMH levels in Samoan women.

What is known already

Three prior GWASs of AMH levels identified eight loci in premenopausal women of European ancestry (AMH, MCM8, TEX41 , CHECK2, CDCA7 , EIF4EBP1, BMP4 and an uncharacterized non-coding RNA gene CTB-99A3.1 ), among which the MCM8 locus was shared among all three studies.

Study design size duration

We included a sample of 1,185 women from two independently recruited samples: a family study ( n = 212; [age: 18 to 40 years]) recruited in 2002-03 from Samoa and American Samoa; and the Soifua Manuia Study ( n = 973; age: 25 to 51 years), a crosssectional population-based study recruited in 2010 from Samoa.

Participants/materials setting methods

Serum AMH levels were measured using enzyme linked immunosorbent assays (ELISA). We performed GWASs in the two participant samples using a Cox mixed-effects model to account for AMH levels below detectable limits and adjusted for centered age, centered age², polity, and kinship via kinship matrix. The summary statistics were then meta-analyzed using a fixed-effect model. We annotated the variants with p < 1 × 10⁻⁵ and calculated posterior probability of causality for prioritization. We further annotated variants using FUMA and performed colocalization and transcriptome-wide association analysis. We also assessed whether any previously reported loci were replicated in our GWAS.

Main results and the role of chance

We identified eleven novel genome-wide suggestive loci ( p < 1 × 10⁻⁵) associated with AMH levels and replicated EIF4EBP1, a previously reported AMH locus, in the GWAS. The lead variant in ARID3A , 19-946163-G-C is in high linkage disequilibrium ( r ² = 0.79) with the known age-at-menopause variant 19-950694-G-A. Nearby KISS1R is a biologically plausibility causal gene in the region; kisspeptin regulates ovarian follicle development and has been linked to AMH levels. Further investigation of the ARID3A locus is warranted.

Limitations reasons for caution

The main limitations of our study are the small sample size for a GWAS and the use of the transcription model trained on mostly European samples from the Genotype Tissue Expression (GTEx) project, which may have led to reduced power to detect genotype-expression associations. Our findings need to be validated in larger Polynesian cohorts.

Wider implications of the findings

In addition to replicating one of the eight previously discovered AMH loci, we identified new suggestive associations. It is known that the inclusion of founder populations aids in the discovery of novel loci. These findings could enhance our understanding of AMH and AMH-related reproductive phenotypes (ovarian reserve, age at menopause, premature ovarian failure, and polycystic ovary syndrome) and help build a screening approach for women at risk for these phenotypes using genetically predicted AMH levels.

Study funding/competing interests

This work was funded by NIH grants R01-HL093093 (PI: S.T.M.), R01-HL133040 (PI: R.L.M.), and T90-DE030853 (PI: C.S. Sfeir). Molecular data for the Trans-Omics in Precision Medicine (TOPMed) Program was supported by the National Heart, Lung and Blood Institute (NHLBI). The content is solely the responsibility of the authors and does not represent the official views of the National Institutes of Health.

Diagnostic Utility of Various Hormones across Different Polycystic Ovary Syndrome Phenotypes: A Cross-sectional Study

Background

Polycystic ovary syndrome (PCOS) presents a complex diagnostic challenge due to its heterogeneous nature.

Aim

This study aimed to examine the diagnostic utility of various hormones across different PCOS phenotypes.

Settings and Design

This cross-sectional study was carried out in 187 newly diagnosed PCOS women (18-40 years) attending the outdoor clinics of the department of endocrinology and obstetrics and gynaecology of a tertiary care centre in India.

Materials and Methods

One hundred and eighty-seven PCOS women based on revised Rotterdam 2003 criteria were recruited. Ninety-four age-matched healthy females were taken as controls. All PCOS women were categorised into four phenotypes (A, B, C and D) based on the National Institute of Health (2012) criteria. Detailed clinical examination and hormonal investigations including testosterone, androstenedione, dehydroepiandrosterone sulphate (DHEAS) and anti-Müllerian hormone (AMH) were performed.

Statistical Analysis Used

The receiver operating characteristic curve (ROC) was generated to find the diagnostic utility of various hormones by using SPSS version 26.0 software.

Results

The largest PCOS group was phenotype A (33.15%, n = 61) followed by phenotype B (28.6%, n = 52), phenotype D (23.9%, n = 44) and phenotype C (16.3%, n = 30). In ROC analysis, AMH and testosterone (except phenotype D) were good diagnostic parameters for PCOS. AMH cutoffs varied from 4.4 to 5.6 ng/mL with sensitivities and specificities ranging from 86% to 97% and 85% to 100%, respectively, across all PCOS phenotypes. In the entire PCOS cohort, AMH at an optimal cutoff of 5.28 ng/mL had sensitivity and specificity of 87% and 97%, respectively, for the diagnosis of PCOS. Optimal testosterone cutoffs were 29.3, 25.1 and 23.1 ng/dL for phenotypes A, B and C, respectively, with reasonable sensitivities and specificities but not in phenotype D. Luteinising hormone (LH), follicle-stimulating hormone (FSH), LH/FSH ratio, androstenedione and DHEAS had low-to-moderate sensitivity across all phenotypes.

Conclusion

AMH is a useful hormonal diagnostic marker for PCOS across all phenotypes.

Anti-müllerian hormone as a diagnostic biomarker for polycystic ovary syndrome and polycystic ovarian morphology: a systematic review and meta-analysis

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; I2 = 86%) and 0.87 (95% CI, 0.84-0.89; I2 = 91%). The adolescent AMH-PCOS meta-analysis (n = 11) showed a pooled sensitivity and specificity of 0.66 (95% CI, 0.58-0.73; I2 = 74%) and 0.78 (95% CI, 0.71-0.83; I2 = 45%). The adult AMH-PCOM meta-analysis (n = 7) showed a pooled sensitivity and specificity of 0.79 (95% CI, 0.72-0.85; I2 = 94%) and 0.87 (95% CI, 0.78-0.93; I2 = 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.

Cut-off value for anti-Müllerian hormone in the diagnostic criteria for polycystic ovary syndrome in the Japanese population

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.

Exploring Serum Vitamin D, Sex Hormones, and Lipid Profile Disparities in Women With and Without Polycystic Ovarian Syndrome: A Case-Control Study

Background Polycystic ovarian syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by dyslipidemia, hormonal imbalances, and metabolic dysfunctions. Vitamin D deficiency may be implicated in the pathogenesis of PCOS, potentially exacerbating its metabolic syndrome. However, the exact interplay between these factors remains underexplored. Aim This study aimed to evaluate serum levels of vitamin D and its association with modalities of PCOS among women with PCOS and healthy controls.  Methods This was a hospital-based case-control study where 60 women newly diagnosed with PCOS and 56 non-PCOS controls were consecutively recruited within a 10-month period. The women aged 20-40 were recruited at the gynecology clinics of Lagos State University Teaching Hospital and Lagos Island Maternity Hospital. PCOS was diagnosed using the Rotterdam's criteria. The biodata, anthropometry, clinical features, serum vitamin D, cortisol, progesterone, testosterone, estradiol, prolactin, anti-Mullerian hormone (AMH), thyroid-stimulating hormone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), insulin, fasting blood glucose (FBG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), and very-low-density lipoprotein cholesterol (VLDL-C) levels of PCOS-diagnosed women were assessed and compared with those of women without PCOS. The exclusion criteria comprised known diabetics, women with gynecological pathologies such as fibroids, and women on medications affecting the study analytes or hormones. Statistical analyses included chi-square or Fisher's exact tests for categorical variables, student t-test for continuous variables, and Pearson's correlation for assessing relationships between continuous variables. The significance level was set at p<0.05 and a confidence interval of 95%. Results Individuals with PCOS exhibited a younger mean age (26.90±3.73 versus 29.95±5.00 years, p=0.001) and a higher prevalence of irregular menstrual patterns (46.7% versus 14.3%, p=0.0001) and acne (58.3% versus 37.5%, p=0.025). Moreover, PCOS was associated with elevated levels of TC (p = 0.03), TG (p = 0.03), LDL-C (p = 0.014), FBG (p = 0.001), LH:FSH ratio (p = 0.002), AMH (p = 0.0001), and testosterone (p = 0.003), but low progesterone (p = 0.001) and vitamin D (p = 0.033), alongside a higher incidence of vitamin D deficiency (33.3% versus 26.1%) and insufficiency (66.7% versus 56.5%). Additionally, significant but weak correlations were observed between serum vitamin D levels and waist-hip ratio (r = 0.4, p = 0.016) and FBG (r = -0.4, p = 0.036) in the PCOS group, suggesting potential metabolic implications. Conclusion The PCOS subjects in this study had decreased vitamin D and progesterone levels, with elevated concentrations of testosterone, AMH, lipid profile (TC, LDL, and TG), FBG, and LH:FSH ratio. Studies on the therapeutic effect of vitamin D administration in managing PCOS will need to be further evaluated.

Polycystic ovary syndrome (PCOS): progress towards a better understanding and treatment of the syndrome

Polycystic ovary syndrome (PCOS) is the most common endocrine and metabolic disorder in women of reproductive age. It has a strong hereditary component estimated at 60 to 70% in daughters. It has been suggested that environmental factors during the fetal period may be involved in the development of the syndrome in adulthood. However, the underlying mechanisms of its transmission remain unknown, thus limiting the development of effective therapeutic strategies.This article highlights how an altered fetal environment (prenatal exposure to high levels of anti-Müllerian hormone) can contribute to the onset of PCOS in adulthood and lead to the transgenerational transmission of neuroendocrine and metabolic traits through alterations in the DNA methylation process.The originality of the translational findings summarized here involves the identification of potential biomarkers for early diagnosis of the syndrome, in addition to the validation of a promising therapeutic avenue in a preclinical model of PCOS, which can improve the management of patients suffering from the syndrome.

An updated clinico-investigative approach to diagnosis of cutaneous hyperandrogenism in relation to adult female acne, female pattern alopecia & hirsutism a primer for dermatologists

INTRODUCTION

Hyperandrogenism is a clinical state consequent to excess androgen production by the ovary, adrenals, or increased peripheral conversion of androgens. The varied manifestations of hyperandrogenism include seborrhea, acne, infertility, hirsutism, or overt virilization of which adult female acne, hirsutism, and female pattern hair loss are of clinical relevance to dermatologists.

AREAS COVERED

We limited our narrative review to literature published during period from 1 January 1985 to Dec 2022 and searched PubMed/MEDLINE, Web of Science (WOS), Scopus, and Embase databases with main search keywords were 'Hyperandrogenism,' 'Female,' 'Biochemical,' 'Dermatological', and 'Dermatology.' We detail the common etiological causes, nuances in interpretation of biochemical tests and imaging tools, followed by an algorithmic approach which can help avoid extensive tests and diagnose the common causes of hyperandrogenism.

EXPERT OPINION

Based on current data, total testosterone, sex hormone binding globulin, DHEAS, prolactin, free androgen index, and peripheral androgenic metabolites like 3-alpha diol and androsterone glucuronide are ideal tests though not all are required in all patients. Abnormalities in these biochemical investigations may require radiological examination for further clarification. Total testosterone levels can help delineate broadly the varied causes of hyperandrogenism. Serum AMH could be used for defining PCOM in adults.

Utility of Serum Anti-Müllerian Hormone Measurement as Part of Polycystic Ovary Syndrome Diagnosis

The 2023 international evidence-based guideline update for the assessment and management of polycystic ovary syndrome (PCOS) recommends using the Rotterdam criteria for the diagnosis of PCOS. The updated guideline has evidence-based recommendation for the diagnosis, and it now also includes serum anti-Müllerian hormone (AMH) measurement as an alternative tool for gynecological ultrasound to diagnose polycystic ovary morphology (PCOM). The aim of this new recommendation was to facilitate PCOS diagnostic workup in primary care and other disciplines, as currently most diagnosing is done in gynecology and infertility clinics. Here, we review factors affecting AMH levels as well as the utility of AMH in PCOS diagnosis. We identified relevant studies that report different cut-offs for AMH to diagnose PCOM as part of PCOS diagnosis. There are, however, some limitations when using AMH that should be acknowledged. These include physiological aspects like age, ethnicity, and obesity and iatrogenic causes like hormonal medication and ovarian surgery. Also reference ranges are different depending on AMH assay used. As a summary, we conclude that AMH is a usable tool in PCOM diagnostics, but it does not have a single cut-off. Therefore, further studies are needed to establish age and assay-based reference ranges.

Comparing Assisted Reproductive Outcomes in Women with Different Polycystic Ovary Syndrome Phenotypes Undergoing Frozen Embryo Transfer

Background

Patients with polycystic ovarian syndrome (PCOS) have unique characteristics depending on its phenotype. Therefore, prediction of controlled ovarian stimulation (COS) response and assisted reproductive technique (ART) outcome in these becomes challenging.

Aims

To assess the outcomes of assisted reproductive technology (ART) in various polycystic ovary syndrome (PCOS) phenotypes and to evaluate the predictive value of anti-Mullerian hormone (AMH) and total testosterone on ART success. Clinical pregnancy rate (CPR) was measured as the primary outcome.

Settings and Design

This was a prospective observational study conducted at a tertiary care centre.

Materials and Methods

A total of 190 infertile women with PCOS (Rotterdam criteria) were enrolled and were subdivided into four phenotypes. Baseline screening and transvaginal scan were done. All patients underwent COS using antagonist protocol with recombinant follicle-stimulating hormone, and an agonist trigger was given for follicular maturation. One or two blastocysts were transferred in a frozen-thawed embryo transfer cycle. Luteal phase support was given with vaginal progesterone.

Statistical Analysis Used

For quantitative variables, we employed the Kruskal-Wallis Test with post hoc Tukey's analysis. For continuous or ordinal variables, the Mann-Whitney U test was utilized. The analysis of categorical data was conducted using the Chi-square (χ2) test with SPSS 21 software.

Results

Phenotype A was the most prevalent (37%). CPR was the highest in phenotype D (57.7%), followed by phenotype C (53.06%), A (43%) and B (36%). The mean serum AMH level was the highest in phenotype A (9.7 ± 4.3 ng/dL) and the lowest in phenotype B (5.9 ± 1.8 ng/dL). The mean total testosterone level was 103 ± 15.68 ng/mL in Type A, 109.46 ± 37.08 ng/mL in Type B and 48.52 ± 17.07 ng/ml in Type D.

Conclusion

Phenotype D showed higher CPR and lower miscarriage rate compared to other phenotypes (not significant) and was associated with good clinical outcome. No correlation could be established with serum AMH, total testosterone levels and CPR.

Efficacy of serum anti-mullerian hormone (AMH) levels for prediction of polycystic ovary syndrome (PCOS) and its association with clinical, biochemical and hormonal parameters

Anti-mullerian hormone (AMH) has been proposed to add significance to diagnosis of PCOS in case of ambiguity. However, variable cutoffs of AHM among PCOS women have been reported. Using case-control design, this study investigated the diagnostic threshold of serum AMH levels among age matched 113 PCOS and 75 normo-ovulatory women and its correlation with clinical, hormonal and ultrasonographic parameters.PCOS was defined as per Rotterdam criteria 2003. Results depicted the mean serum AMH level to be significantly higher in PCOS group (7.84 ± 3.67vs. 3.23 ± 1.56 ng/mL) than controls. The AMH levels were positively(p = 0.001) associated with ovarian volume (r = 0.521) as well as number of ovarian follicles(r = 0.461). Further, serum AMH levels showed a positive correlation with luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (r = 0.206, p = 0.02), but no correlation significant with age, BMI,FG score and testosterone levels. As per receiver operating characteristic (ROC) curve, cut-off was worked out to be 3.76 ng/ml with 86.7% sensitivity and 62.7% specificity. The mean level of AMH were highest among PCOS women with phenotype A (12.67 ± 3.46 ng/ml) with least among PCOS women displaying phenotype B(7.28 ± 1.60 ng/ml) where there is absence of PCOM. In conclusion, serum AMH levels are highly predictive of PCOM and high LH/FSH ratio among PCOS women and may be a potent diagnostic marker of ovarian dysfunction either alone or in conjunction with other tools.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12291-022-01058-4.

AMH as part of the diagnostic PCOS workup in large epidemiological studies

OBJECTIVES

Previous studies have shown good correlation between polycystic ovarian morphology (PCOM) and serum anti-Müllerian hormone (AMH) levels. We evaluated the utility of AMH as a surrogate for PCOM as a part of the polycystic ovary syndrome (PCOS) diagnosis by describing how the use of different AMH cut-off values would change the prevalence of PCOS.

METHODS

A general population-based birth cohort study. Anti-Müllerian hormone concentrations were measured from serum samples taken at age 31 years (n = 2917) using the electrochemiluminescence immunoassay (Elecsys). Anti-Müllerian hormone data were combined with data on oligo/amenorrhoea and hyperandrogenism to identify women with PCOS.

RESULTS

The addition of AMH as a surrogate marker for PCOM increased the number of women fulfilling at least two PCOS features in accordance with the Rotterdam criteria. The prevalence of PCOS was 5.9% when using the AMH cut-off based on the 97.5% quartile (10.35 ng/mL) and 13.6% when using the recently proposed cut-off of 3.2 ng/mL. When using the latter cut-off value, the distribution of PCOS phenotypes A, B, C, and D was 23.9%, 4.7%, 36.6%, and 34.8%, respectively. Compared with the controls, all PCOS groups with different AMH concentration cut-offs showed significantly elevated testosterone (T), free androgen index (FAI), luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH) ratio, body mass index (BMI), waist circumference, and homoeostatic model assessment of insulin resistance (HOMA-IR) values, as well as significantly decreased sex hormone-binding globulin (SHBG) values.

CONCLUSIONS

Anti-Müllerian hormone could be useful surrogate for PCOM in large data sets, where transvaginal ultrasound is not feasible, to aid the capturing of women with typical PCOS characteristics. Anti-Müllerian hormone measurement from archived samples enables retrospective PCOS diagnosis when combined with oligo/amenorrhoea or hyperandrogenism.

Time-to-conception and clinical pregnancy rate with a myo-inositol, probiotics, and micronutrient supplement: secondary outcomes of the NiPPeR randomized trial

OBJECTIVE

To determine whether a combined myo-inositol, probiotics and micronutrient nutritional supplement impacts time-to-natural-conception and clinical pregnancy rates.

DESIGN

Secondary outcomes of a double-blind randomized controlled trial.

SETTING

Community recruitment.

PATIENTS

Women aged 18 to 38 years planning to conceive in the United Kingdom, Singapore, and New Zealand, excluding those with diabetes mellitus or receiving fertility treatment.

INTERVENTION

A standard (control) supplement (folic acid, iron, calcium, iodine, β-carotene), compared with an intervention additionally containing myo-inositol, probiotics, and other micronutrients (vitamins B2, B6, B12, D, zinc).

MAIN OUTCOME MEASURES

Number of days between randomization and estimated date of natural conception of a clinical pregnancy, as well as cumulative pregnancy rates at 3, 6, and 12 months.

RESULTS

Of 1729 women randomized, 1437 (83%; intervention, n=736; control, n=701) provided data. Kaplan-Meier curves of conception were similar between intervention and control groups; the time at which 20% achieved natural conception was 90.5 days (95% confidence interval: 80.7, 103.5) in the intervention group compared with 92.0 days (76.0, 105.1) in the control group. Cox's proportional hazard ratios (HRs) comparing intervention against control for cumulative achievement of pregnancy (adjusted for site, ethnicity, age, body mass index, and gravidity) were similar at 3, 6, and 12 months. Among both study groups combined, overall time-to-conception lengthened with higher preconception body mass index, and was longer in non-White than in White women. Among women who were overweight the intervention shortened time-to-conception compared with control regardless of ethnicity (12-month HR=1.47 [1.07, 2.02], P=.016; 20% conceived by 84.5 vs. 117.0 days) and improved it to that comparable to nonoverweight/nonobese women (20% conceived by 82.1 days). In contrast, among women with obesity, time-to-conception was lengthened with intervention compared with control (12-month HR=0.69 [0.47, 1.00]; P=.053; 20% conceived by 132.7 vs. 108.5 days); an effect predominantly observed in non-White women with obesity.

CONCLUSIONS

Time-to-natural-conception and clinical pregnancy rates within a year were overall similar in women receiving the intervention supplement compared with control. Overweight women had a longer time-to-conception but there was suggestion that the supplement may shorten their time-to-conception to that comparable to the nonoverweight/nonobese women. Further studies are required to confirm this.

CLINICAL TRIAL REGISTRATION NUMBER

clinicaltrials.gov (NCT02509988).

The diagnostic performance of antimullerian hormone for polycystic ovarian syndrome and polycystic ovarian morphology

PURPOSE

The diagnosis of polycystic ovary syndrome (PCOS) remains a challenge to clinicians due to heterogeneous clinical presentation and diagnostic criteria. This study investigated the utilization of Anti-Müllerian hormone (AMH) alone or replacing polycystic ovarian morphology (PCOM) in the PCOS diagnostic criteria.

METHODS

A total of 401 women were categorised as PCOS (n:154), nonPCOS with polycystic ovarian morphology (PCOM) (n:105), and nonPCOS with normal ovarian morphology (NOM) (n:142). First, the diagnostic performance of AMH for PCOS diagnosis in Rotterdam, Androgen Excess Society, and National Institutes of Health (NIH) criteria was analyzed. Second, AMH was used instead of PCOM in Rotterdam criteria and we searched diagnostic performance for PCOS phenotypes.

RESULTS

AMH levels were positively correlated with LH, testosterone, hirsutism score, menstrual cycle length, and antral follicle count (p < 0.05). AMH alone had specificity and sensitivity for PCOS diagnosis were 84.9% and 72.4% in Rotterdam (AUC: 0.866); 84.4% and 72% in Androgen Excess Society (AUC: 0.857); 83.3% and 66.4% in National Institute of Health criteria (AUC: 0.825). AMH alone had satisfactory diagnostic potential for phenotype A, but not other phenotypes. The replacement of PCOM with AMH in Rotterdam criteria had a high diagnostic potential for PCOS (AUC: 0.934, sensitivity:97.4%, specificity: 90.67%). Phenotype A and phenotype D were diagnosed with 100% sensitivity and 94.5% specificity. Phenotype C was recognised with 96.15% sensitivity and 94.5% specificity.

CONCLUSION

AMH may be used with high diagnostic accuracy instead of PCOM in the Rotterdam PCOS criteria.

The Role of Serum Anti-Mullerian Hormone Measurement in the Diagnosis of Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a common endocrinological disorder in women with significant reproductive, metabolic, and psychological health implications. The lack of a specific diagnostic test poses challenges in making the diagnosis of PCOS, resulting in underdiagnosis and undertreatment. Anti-Mullerian hormone (AMH) synthesized by the pre-antral and small antral ovarian follicles appears to play an important role in the pathophysiology of PCOS, and serum AMH levels are often elevated in women with PCOS. The aim of this review is to inform the possibility of utilizing anti-Mullerian hormone either as a diagnostic test for PCOS or as an alternative diagnostic criterion in place of polycystic ovarian morphology, hyperandrogenism, and oligo-anovulation. Increased levels of serum AMH correlate highly with PCOS, polycystic ovarian morphology, hyperandrogenism, and oligo/amenorrhea. Additionally, serum AMH has high diagnostic accuracy as an isolated marker for PCOS or as a replacement for polycystic ovarian morphology.

Study of Burden in Polycystic Ovary Syndrome at Global, Regional, and National Levels from 1990 to 2019

Increasing attention has recently been paid to the harm of polycystic ovary syndrome (PCOS) to women. However, due to the inconsistency of global clinical diagnostic standards and the differing allocation of medical resources among different regions, there is a lack of comprehensive estimation of the global incidence and disability-adjusted life years (DALYs) of PCOS. Thus, it is difficult to assess the disease burden. We extracted PCOS disease data from 1990 to 2019 from the Global Burden of Disease Study (GBD) 2019 and estimated the incidence, DALYs, and the corresponding age-standardized rates (ASRs) of PCOS, as well as the socio-demographic index (SDI) quintiles, to describe epidemiological trends at the global level, encompassing 21 regions and 204 countries and territories. Globally, the incidence and DALYs of PCOS have increased. Its ASR also shows an increasing trend. Among them, the high SDI quintile seems relatively stable, whereas other SDI quintiles are constantly rising over time. Our research has provided clues regarding the disease pattern and epidemic trend of PCOS and analyzed the possible causes of disease burden in some specific countries and territories, which may have some value in health resource allocation and health policy formulation and prevention strategies.

Comparison of 3 Different AMH Assays With AMH Levels and Follicle Count in Women With Polycystic Ovary Syndrome

CONTEXT

Anti-Müllerian hormone (AMH) levels strongly correlate with the number of antral follicles (total follicle count, TFC) in the ovary. In women with polycystic ovary syndrome (PCOS), this is reflected by significantly increased serum AMH levels. Different assays have been developed to measure AMH. However, little is known about the interassay correlation in women with increased AMH levels.

OBJECTIVE

To investigate the correlation of AMH values between different AMH assays and with TFC in PCOS patients.

METHODS

AMH levels were measured in 1660 PCOS patients, using 3 different AMH assays: Gen II (Beckman Coulter); picoAMH (Ansh Labs); and Elecsys (Roche). Passing Bablok regression was used to compare assay methods. Spearman's correlation was used to correlate AMH levels and TFC.

RESULTS

Strong interassay correlations were present over the total range of AMH levels (0.81-0.94). Stratification in subgroups, revealed an AMH level-dependent interassay correlation with strong interassay correlations in the low (<2.80 ng/mL) and high (>7.04 ng/mL) subgroups (0.62-0.86). However, the correlation in the mid-AMH subgroup (2.80-7.04 ng/mL) was only moderate (0.28-0.56). A strong correlation was present between the total range of AMH levels and TFC (0.57-0.62). However, in all 3 AMH subgroups the correlation became moderate at best, independently of assay method (0.11-0.45).

CONCLUSION

In conclusion, both the interassay correlation and the correlation between AMH level and follicle count depend on the range of serum AMH levels. This once more emphasizes the need of a standardization of AMH measurement for an accurate interpretation of AMH in clinical practice.

Serum anti-Müllerian hormone as a predictor of polycystic ovarian syndrome among women of reproductive age

BACKGROUND

Polycystic ovarian syndrome (PCOS) affects up to one-fifth of women of reproductive age and causes anovulatory subfertility. Some studies have recommended that an anti-Müllerian hormone (AMH) level greater than 3.8-5 ng/mL can be used for diagnosing PCOS. This study aims to analyse serum AMH levels among PCOS women of reproductive age to use AMH as a biomarker predictor along with other Rotterdam criteria.

METHODS

In this cross-sectional study, a total of 98 women visiting the fertility center of a private hospital in Lahore, Pakistan, were screened. Data were obtained from 51 PCOS newly diagnosed women aged 28.24 years (SD ± 4.84 years) meeting at least two of the Rotterdam criteria and specific inclusion criteria. Baseline variables, menstrual cycle length, ovarian morphology on ultrasound, hirsutism, sex hormones, gonadotropin, and serum AMH levels were analysed during the follicular phase (1-5 days) of the menstrual cycle. Serum AMH was measured by an enzyme-linked immunosorbent assay.

RESULTS

A high serum AMH level (7.23 ± 4.67 ng/ml) was recorded with normal sex hormone levels. Women with oligo-/amenorrhea had a significant mean difference for luteinizing hormone (p = 0.02) and AMH levels (p = 0.03) when compared with women of normal menstrual cycle length. PCOS women with high AMH levels (≥ 3.9 ng/ml) showed a significant difference in ovarian morphology (p < 0.05) when compared with the normal AMH group.

CONCLUSIONS

An elevated serum AMH level can be used as a strong predictor to reflect the certainty of PCOS diagnosis among women of reproductive age when study concurrently with the other Rotterdam criteria.

Updated meta-analysis on the diagnostic accuracy of serum anti-Mullerian hormone in poly cystic ovary syndrome involving 13 509 subjects

AIM

To determine the diagnostic accuracy of anti-Mullerian hormone (AMH) in the diagnosis of polycystic ovary syndrome (PCOS).

METHODS

Two independent reviewers searched the electronic databases and search engines using PubMed, Cochrane library, and Google Scholar systematically to retrieve relevant articles published from inception to September 2021. The diagnostic efficacy of AMH was computed using the random-effects model in terms of pooled sensitivity, specificity, and diagnostic odds ratio (DOR) with 95% confidence interval (CI). A meta-regression and subgroup analysis were performed to check for any source which could explain possible heterogeneity. Risk of bias assessment was conducted using the QUADAS-2 tool recommended by Cochrane Library.

RESULTS

This meta-analysis included a total of 41 studies involving 13 509 subjects. We observed promising pooled sensitivity 0.78 (95% CI 0.74 to 0.81), specificity 0.87 (95% CI 0.84 to 0.90), and diagnostic odds ratio (DOR) 24 (95% CI 15 to 37), for AMH in detecting PCOS and discriminatory power (summary receiver operating characteristic [SROC] curves, 0.89 [95% CI 0.86-0.92]). The most prominent bias was noted in the patient selection and index test assessment.

CONCLUSIONS

With the findings of this current meta-analysis, we conclude serum AMH to be a promising biomarker for the diagnosis of PCOS, however, substantial heterogeneity among studies needs individual patient data analysis in order to identify an optimal cut-off value and homogenous findings.

REGISTRATION NUMBER AND GUIDELINES

This meta-analysis was performed according to constructed protocol registered in the PROSPERO database with registration number CRD42021246910.

Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study

Background

Artificial intelligence and digital health care have substantially advanced to improve and enhance medical diagnosis and treatment during the prolonged period of the COVID-19 global pandemic. In this study, we discuss the development of prediction models for the self-diagnosis of polycystic ovary syndrome (PCOS) using machine learning techniques.

Objective

We aim to develop self-diagnostic prediction models for PCOS in potential patients and clinical providers. For potential patients, the prediction is based only on noninvasive measures such as anthropomorphic measures, symptoms, age, and other lifestyle factors so that the proposed prediction tool can be conveniently used without any laboratory or ultrasound test results. For clinical providers who can access patients’ medical test results, prediction models using all predictor variables can be adopted to help health providers diagnose patients with PCOS. We compare both prediction models using various error metrics. We call the former model the patient model and the latter, the provider model throughout this paper.

Methods

In this retrospective study, a publicly available data set of 541 women’s health information collected from 10 different hospitals in Kerala, India, including PCOS status, was acquired and used for analysis. We adopted the CatBoost method for classification, K-fold cross-validation for estimating the performance of models, and SHAP (Shapley Additive Explanations) values to explain the importance of each variable. In our subgroup study, we used k-means clustering and Principal Component Analysis to split the data set into 2 distinct BMI subgroups and compared the prediction results as well as the feature importance between the 2 subgroups.

Results

We achieved 81% to 82.5% prediction accuracy of PCOS status without any invasive measures in the patient models and achieved 87.5% to 90.1% prediction accuracy using both noninvasive and invasive predictor variables in the provider models. Among noninvasive measures, variables including acanthosis nigricans, acne, hirsutism, irregular menstrual cycle, length of menstrual cycle, weight gain, fast food consumption, and age were more important in the models. In medical test results, the numbers of follicles in the right and left ovaries and anti-Müllerian hormone were ranked highly in feature importance. We also reported more detailed results in a subgroup study.

Conclusions

The proposed prediction models are ultimately expected to serve as a convenient digital platform with which users can acquire pre- or self-diagnosis and counsel for the risk of PCOS, with or without obtaining medical test results. It will enable women to conveniently access the platform at home without delay before they seek further medical care. Clinical providers can also use the proposed prediction tool to help diagnose PCOS in women.

A Cross-Sectional Study on Potential Ovarian Volume and Related Factors in Women with Polycystic Ovary Syndrome from Infertile Couples

Purpose

This study was designed to explore the value of ovarian volume (OV) measured by transvaginal ultrasound and its relationship with anthropometry and serum hormonal levels in a polycystic ovary syndrome (PCOS) population.

Patients and Methods

A total of 119 women with PCOS from infertile couples were recruited in this cross-sectional study. On days 2-4 of the menstrual cycle, transvaginal ultrasound examinations were performed, and hormonal profiles were measured. PCOS diagnosis was based on the Rotterdam 2003 criteria and classified into four phenotype groups. The PCOS group (study group) and the non-PCOS group (control group) were compared.

Results

The mean age of the participants was 32.66±4.10 years compared to 33.99±4.78 years in 273 cases (69.6%) without PCOS. The mean OV was statistically larger in the PCOS group than in the non-PCOS group (7.65±3.23 mL vs 6.08±3.67 mL, p < 0.001) and positively correlated with serum anti-Mullerian (AMH) and luteinizing hormone (LH) levels (r=0.30; p < 0.001 and r=0.23; p < 0.001, respectively), and weakly and inversely correlated with age (-0.182, p < 0.001). The area under the receiver operating characteristic (ROC) curve of OV in the diagnosis of PCOS was 0.613 (0.557-0.670, 95% CI).

Conclusion

The enlarged OV is remarkable in women with PCOS and is related to AMH and LH concentrations. Although the diagnostic potential of PCOS is substantially low, OV alone may contribute to predicting the severity of PCOS and better performance for the diagnosis of PCOS phenotypes.

Endometriosis and polycystic ovary syndrome are diametric disorders

Evolutionary and comparative approaches can yield novel insights into human adaptation and disease. Endometriosis and polycystic ovary syndrome (PCOS) each affect up to 10% of women and significantly reduce the health, fertility, and quality of life of those affected. PCOS and endometriosis have yet to be considered as related to one another, although both conditions involve alterations to prenatal testosterone levels and atypical functioning of the hypothalamic-pituitary-gonadal (HPG) axis. Here, we propose and evaluate the novel hypothesis that endometriosis and PCOS represent extreme and diametric (opposite) outcomes of variation in HPG axis development and activity, with endometriosis mediated in notable part by low prenatal and postnatal testosterone, while PCOS is mediated by high prenatal testosterone. This diametric disorder hypothesis predicts that, for characteristics shaped by the HPG axis, including hormonal profiles, reproductive physiology, life-history traits, and body morphology, women with PCOS and women with endometriosis will manifest opposite phenotypes. To evaluate these predictions, we review and synthesize existing evidence from developmental biology, endocrinology, physiology, life history, and epidemiology. The hypothesis of diametric phenotypes between endometriosis and PCOS is strongly supported across these diverse fields of research. Furthermore, the contrasts between endometriosis and PCOS in humans parallel differences among nonhuman animals in effects of low versus high prenatal testosterone on female reproductive traits. These findings suggest that PCOS and endometriosis represent maladaptive extremes of both female life-history variation and expression of sexually dimorphic female reproductive traits. The diametric disorder hypothesis for endometriosis and PCOS provides novel, unifying, proximate, and evolutionary explanations for endometriosis risk, synthesizes diverse lines of research concerning the two most common female reproductive disorders, and generates future avenues of research for improving the quality of life and health of women.

Anti-Müllerian Hormone Predictive Levels to Determine The Likelihood of Ovarian Hyper-Response in Infertile Women with Polycystic Ovarian Morphology

BACKGROUND

The objective of this study was to investigate serum levels of anti-Müllerian hormone (AMH) in normal-ovulatory infertile women with polycystic ovarian morphology (PCOM) and their association with ovarian hyper-response.

MATERIALS AND METHODS

This prospective cohort study was carried out on 100 infertile women with PCOM who were treated with an antagonist/agonist triggered stimulation protocol at Shahid Akbar-Abadi Hospital IVF Centre, Tehran, Iran. Serum AMH levels were measured before starting the assisted reproductive technology (ART) cycle and the ovarian hyper-response was evaluated by retrieved oocyte numbers, ooestradiol levels on the triggering day, and the incidence of ovarian hyper-stimulation syndrome (OHSS) clinical signs and symptoms. Logistic regression and the area under the curve (AUC) were used to estimate the effects of AMH and the accuracy of the test.

RESULTS

Receiver operating characteristic (ROC) curve analysis showed that AMH could significantly predict ovarian hyper-response in PCOM patients (AUC=0.73). The estimated threshold value was 4.95 ng/ml, with a specificity of 74.58% (95% confidence interval [CI]: 50.85, 93.22) and sensitivity of 73.17% (95% CI: 48.78, 92.68). Logistic regression results showed a significant interaction between AMH and body mass index (BMI, P=0.008), which indicated that BMI had a moderation effect.

CONCLUSION

Individualized stimulation protocols for patients with isolated PCOM and AMH greater than 4.95 ng/ml may significantly reduce the chances of developing OHSS. However, the AMH cut-off values to predict ovarian hyperresponse differ for different BMI categories among PCOM patients; thus, it becomes a more precise predictive marker with increasing BMI.

A prospective study of anti-mullerian hormone and other ovarian and adrenal hormones in adult female acne

Polycystic ovarian syndrome (PCOS) diagnosis in adult female acne (AFA) is tough owing to unreliable ultrasonography in virgins or obese females and inconsistent hyperandrogenemia. We analyzed hormones in AFA and established a diagnostic cut-off value of anti-mullerian hormone (AMH) for PCOS. Female acne patients aged ≥25 years were assessed with total testosterone (TT), sex hormone binding globulin (SHBG), free androgen index (FAI), AMH, 17-hydroxyprogesterone (17-OHP), dehydroepiandrosterone sulfate (DHEAS), follicle stimulating hormone (FSH), and luteinizing hormone (LH). Rotterdam's criteria defined PCOS. AMH was measured (Access AMH assay) to calculate the diagnostic cut off value using receiver operating characteristic (ROC) curve. Of 120 cases, 25.83% had PCOS. This group had significant clinical hyperandrogenism, truncal and adolescent acne, polycystic ovarian morphology (PCOM), and raised hormones (AMH, TT, FAI, LH, and LH/FSH). AMH levels were significantly higher in the PCOS group (6.91 ± 3.85 ng/mL) and positively correlated with TT, FAI, 17OHP, LH, and LH/FSH ratio. AMH at >5.1 ng/mL (sensitivity-70.97% and specificity-82.02%) predicted PCOS and correlated with PCOM. AMH (>5.1 ng/mL) is useful for diagnosing PCOS and surrogate for hyperandrogenemia and PCOM. Its correlation with hormones in non PCOS AFA highlights its sensitivity to diagnose endocrinological derangements.

Anogenital distance and anti-Müllerian hormone combined improves the diagnosis of polycystic ovary syndrome

The objective of this study was to assess the accuracy of the combination of anogenital distance (AGD) and anti-Müllerian hormone (AMH) in the diagnosis of polycystic ovary syndrome (PCOS). The study included women diagnosed with PCOS and a control group who attended the Clinical University Hospital 'Virgen de la Arrixaca' in Murcia (Spain). Serum concentrations of AMH were measured and two AGD measurements were obtained: (i) from the anterior clitoral surface to the upper verge of the anus (AGD_AC); and (ii) from the posterior fourchette to the upper verge of the anus (AGD_AF). Data were assessed by receiver operator characteristic (ROC) curves. Women with PCOS (n = 126) had significantly larger AGD_AC (80.5 ± 11.3 versus 76.0 ± 10.4 mm; p < 0.001) and higher AMH (7.2 ± 4.7 versus 3.1 ± 2.2; p < 0.001) compared to control women (n = 159). Women with serum AMH above 3.8 ng/mL (clinical cut-off used in PCOS) were 9.1 times more likely to have PCOS (95% CI: 5.1-16.2). The area under the ROC curve of combined model of AMH and AGD_AC was 0.87 (95% CI: 0.83-0.91). The combined model for predicting PCOS based on AMH and AGD_AC has better diagnostic accuracy than that of AMH or AGD_AC alone. This model could be useful for clinicians and improve diagnosis and clinical management of these women.

Non-esterified fatty acids in the ovary: friends or foes?

A majority of common metabolic diseases can result in excessive lipolysis, leading to elevated levels of non-esterified fatty acids (NEFAs) in the body fluids. In females, increased NEFA levels in the follicular fluid markedly alter the functions of intrafollicular cells such as granulosa cells (GCs) and oocytes. Therefore, elevated levels of NEFAs have been suggested to be a significant player of subfertility in females of both human and economically important animal species such as cattle, buffalo, sheep, pig, chicken, and dog. However, the effects imposed by saturated and unsaturated fatty acids (SFAs and UFAs) on ovarian follicles are controversial. The present review emphasizes that SFAs induce apoptosis in granulosa and cumulus cells of ovarian follicles in different species. They further could adversely affect oocyte maturation and developmental competence. Many types of UFAs affect steroidogenesis and proliferation processes and could be detrimental for follicular cells, especially when at elevated concentrations. Interestingly, monounsaturated fatty acids (MUFAs) appear to contribute to the etiology of the polycystic ovarian syndrome (PCOS) as they were found to induce the transcription and translation of the androgenic transcription factor SOX9 while downregulating its estrogenic counterpart FOXL2 in GCs. Overall, this review presents our revised understanding of the effects of different fatty acids on the female reproductive success, which may allow other researchers and clinicians to investigate the mechanisms for treating metabolic stress-induced female infertility.

Investigation of soluble anti-Müllerian hormone receptor type 2 as a biomarker for diagnosis of female fertility disorders

RESEARCH QUESTION

The ectodomain of the anti-Müllerian hormone (AMH) type 2 receptor is shed by proteases under certain conditions, which makes it measurable in the blood. The aim of this study was to identify correlations of soluble anti-Müllerian hormone receptor type 2 (sAMHR2) with other sex hormone concentrations and to assess whether sAMHR2 may serve as a new biomarker in fertility disorders.

DESIGN

In a retrospective cross-sectional study of women (n = 186) with different gynaecological-endocrinological disorders, mixed-effect models were used to analyse the correlation with established diagnostic hormone tests. Receiver operating characteristic curve analysis was performed to assess the diagnostic performance.

RESULTS

There was a strong correlation of sAMHR2 with LH (r = 0.898) and FSH (r = 0.846) and a moderate correlation of AMH with testosterone (r = 0.666) and androstenedione (r = 0.696) (all P < 0.001). In diagnoses of polycystic ovary syndrome (PCOS), AMH showed the best performance (area under the curve [AUC] 0.981, cut-off 4 ng/ml) with 96% sensitivity and 94% specificity. sAMHR2 concentrations and sAMHR2/AMH ratios were elevated in women with ovarian insufficiency, compared with all other study groups, including post-menopausal women on hormone replacement therapy. Highest sensitivity and specificity (100% and 98.2%, respectively) were achieved with sAMHR2/AMH ratio for the diagnosis of post-menopausal status (cut-off 68.85). The sAMHR2/AMH ratio (AUC 0.997) had a better performance than sAMHR2 (AUC 0.947), FSH (AUC 0.989) and LH (AUC 0.967).

CONCLUSIONS

The sAMHR2/AMH ratio may serve as a useful biomarker for infertility diagnostics to identify post-menopausal women.

Serum Anti-Müllerian Hormone in the Diagnosis of Polycystic Ovary Syndrome in Association with Clinical Symptoms

Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrine diseases affecting women of reproductive age. The pathogeny of PCOS is still not completely understood, but one contributing factor that has been proposed is anti-Müllerian hormone (AMH). There is currently no clear correlation between levels of AMH and incidence of PCOS in Saudi Arabian patients. The goal of this study was to determine the threshold of AMH and correlate it with PCOS clinical features to facilitate a proper diagnosis for PCOS. In this case-control study, we recruited 79 PCOS women and 69 normal ovulatory women; PCOS patients were diagnosed according to the Rotterdam criterion. On days 2–4 of the menstrual cycle, transvaginal/abdominal ultrasound was performed and serum levels of AMH, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) were measured for all participants. The receiver operating characteristic curve (ROC) was used to determine the AMH diagnostic cut-off at 3.19 ng/mL, with 72% sensitivity and 70% specificity; AMH > 3.19 ng/mL was significantly correlated with PCOS. High AMH levels were correlated with age at menarche, polycystic ovarian morphology (PCOM), and oligo/amenorrhea. Serum AMH is a promising diagnostic marker of ovarian dysfunction in PCOS patients especially in cases in which the evaluation of PCOM was complicated.

Anti-Müllerian Hormone in PCOS: A Review Informing International Guidelines

Polycystic ovary syndrome (PCOS) affects 8-13% of women. The Rotterdam diagnostic criteria include polycystic ovarian morphology (PCOM) on ultrasound, but given recognized challenges, serum anti-Müllerian hormone (AMH) is proposed as an alternative. To inform international PCOS guidelines, a systematic review was completed. Key identified gaps include large international studies in well-defined populations across the lifespan, clustering of AMH with PCOS features, relationships to long-term health outcomes, and improved quality, assay standardization, and sample handling, all needed to determine cut offs. Here we identify research priorities to address these gaps and enhance AMH utility in PCOS. Once issues are addressed, AMH levels could replace more costly and less accessible ultrasound in PCOS diagnosis.

AMH in combination with SHBG for the diagnosis of polycystic ovary syndrome

Serum Anti-Müllerian hormone (AMH) level could be useful for the diagnosis of polycystic ovary syndrome (PCOS). We evaluated the hormonal status in women for the diagnosis of PCOS. A total of 77 PCOS women and 106 healthy women were enrolled in this study. Serum AMH, gonadotropins [luteinising hormone (LH) and follicle-stimulating hormone (FSH)], oestradiol, testosterone (total and free), 4-androstenedione (ANDST), dehydroepiandrosterone sulphate, sex hormone binding globulin (SHBG), prolactin, thyroid-stimulating hormone and insulin levels were measured in all enrolled women. Our data showed that insulin_, LH, testosterone, ANDST and AHM levels were significantly higher in the PCOS group and FSH and SHBG levels were lower in the PCOS group. In Receiver operating characteristic analysis, the combination of AMH with SHBG showed higher area under curves (AUC) for PCOS diagnosis with an AUC of 0.843 and a specificity of 81.1% and a sensitivity of 72.7%. Our results suggest that a combination of serum AMH and SHBG levels could be used as a diagnostic biomarker of PCOS. Impact statement What is already known on this subject? Women with PCOS have an increased risk of hypertension, altered glucose metabolism and probably an increased lifetime risk of cardiovascular diseases. There is no consensus on the diagnostic criteria for PCOS. This leads to many patients with PCOS are being undiagnosed. It is known that AMH plays a role in the follicular status of PCOS and serum AMH level is increased significantly in women with PCOS compared with normo-ovulatory women. This is why several studies have suggested the inclusion of AMH as a diagnostic criterion in PCOS. What do the results of this study add? Extensive epidemiological data is available which demonstrates an association between higher AMH levels and PCOS, but there was no information available about the combination of AMH level with other hormones and PCOS. This is the first study that has investigated the association of AMH and SHBG, together, with PCOS. Our results suggest that serum AMH and SHBG level in combination could represent a useful and practical test to screen the general population for PCOS. What are the implications of these findings for clinical practice and/or further research? Many PCOS women in the general population are undiagnosed due to lack of consensus in diagnostic criteria. Therefore, the importance of identifying women with PCOS due to the need for follow-up in short and long-term health risk.

Can we use serum Anti-Mullerian hormone to differentiate the diagnosis between polycystic ovary syndrome patients and healthy women with polycystic ovarian morphology and regular menstrual cycles

Objectives:

To compare Anti-Mullerian hormone (AMH) concentrations between polycystic ovary syndrome (PCOS) patients and healthy women who have polycystic ovarian morphology (PCOM) with regular menstrual cycles, and to determine a diagnostic cutoff value for PCOS women during reproductive period.

Methods:

This study was carried out between February 2013 and October 2017 at the Department of Obstetrics and Gynecology, İzmir Katip Çelebi University Atatürk Training and Research Hospital, Izmir, Turkey. Seventy PCOS patients and 70 PCOM women with normal menstrual cycles were included in the study. Blood samples of the subjects were obtained following an 8-hour fast for AMH and biochemical assessments, serum gonadotropin, and androgen measurements.

Results:

The mean serum AMH levels of PCOS patients were found to be higher than PCOM women with normal menstrual cycles (p<0.01). The optimal serum AMH cutoff value for PCOS diagnosis was determined as 3.51 ng/ml (sensitivity 72.8%, specificity 75.7%).

Conclusion:

Serum AMH concentrations are significantly higher in PCOS patients independent from the ovarian morphology and number of follicles per ovary. Positive and negative predictive values of AMH in PCOS diagnosis were found to be 75% and 73.6%, respectively, with a cutoff value of 3.51 ng/mL.

Association between cadmium and anti-Mullerian hormone in premenopausal women at particular ages

Background

Anti-Mullerian hormone (AMH) in women is secreted by granulosa cells of antral follicles. AMH appears to be a very stable marker for ovarian function. It may be used to diagnosis cases of premature ovarian failure, polycystic ovary syndrome (PCOS), and ovarian tumors. It has been suggested that cadmium exposure can reduce female fecundity. The purpose of this study was to investigate whether environmental exposure to cadmium was associated with alterations in AMH with regards to age.

Methods

In a cross-sectional study, the data of premenopausal women living in Seoul, ranging from 30 to 45 of age was collected. The study included a total of 283 women who completed serum AMH and whole blood cadmium assessments. Linear regression analyses were used in order to examine the association between cadmium and AMH. Given that age was the strongest confounder in both cadmium and AMH concentrations, we stratified subjects by 5 years old and analyzed their data.

Results

Geometric mean concentrations of blood cadmium and AMH were 0.97 μg/L and 3.02 ng/ml, respectively. Total association between cadmium and AMH was statistically significant (adjusted coefficient = - 0.34 (0.15), p = 0.02). After stratification, the only age group with a negative association between cadmium and AMH were the women raging between 30 and 35 years (adjusted coefficient = - 0.43 (0.18), p = 0.01).

Conclusions

The results of this study suggest that environmental exposure to cadmium may alter the AMH level of premenopausal women, depending on their age group.

The diagnosis of PCOS in young infertile women according to different diagnostic criteria: the role of serum anti-Müllerian hormone

PURPOSE

To diagnose polycystic ovary syndrome (PCOS) in young infertile women using different diagnostic criteria. To define serum anti-Müllerian hormone (AMH) cutoff values for PCOS definition. To investigate the correlation between AMH and body mass index (BMI).

METHODS

Retrospective case-control study. A total of 140 infertile women (age 21-35 years) were enrolled. PCOS was defined according to the National Institutes of Health (NIH) criteria, the Rotterdam consensus criteria and the Androgen Excess and PCOS Society (AE-PCOS) criteria. ROC curve analysis was performed to define AMH thresholds for PCOS definition according to the three different diagnostic criteria. Correlation between AMH and BMI was investigated.

RESULTS

The prevalence of PCOS under the NIH criteria, the Rotterdam criteria and the AE-PCOS criteria was 27.1, 40 and 29.3%, respectively. The optimal thresholds of AMH to distinguish NIH PCOS from infertile controls was 5.20 ng/ml (AUC = 0.86, sensitivity 79%, specificity 80%); the best cutoff to detect Rotterdam PCOS was 4.57 ng/ml (AUC = 0.85, sensitivity 78%, specificity 81%); a cutoff of 4.85 ng/ml (AUC = 0.85, sensitivity 80%, specificity 78%) defined PCOS women according to AE-PCOS criteria. The prevalence of the syndrome became 37.1, 44.3 and 39.2% according to the three criteria, respectively, using AMH threshold between 4.57 and 5.20 ng/ml as an alternative to antral follicle count and/or hyperandrogenism.

CONCLUSION

Anti-Müllerian hormone may reconcile the three diagnostic criteria and allow the PCOS diagnosis in women with mild symptoms. No significant correlation was found between AMH and BMI in PCOS women and controls.

Role of AMH as Diagnostic Tool for Polycystic Ovarian Syndrome

Background

To evaluate role of AMH as a diagnostic tool for PCOS.

Methods

This was a prospective case-control study on women attending Gynae OPD of Dr RML Hospital, New Delhi, from 1 November 2015 to 31 March 2017. Study comprised of 45 women with PCOS, diagnosed using Rotterdam criteria and 45 women as controls. Clinical history included oligomenorrhea, hirsutism, examination included BMI, Ferriman-Gallwey score, investigations included blood for FSH, LH, estradiol, TSH, prolactin, total testosterone, AMH level and pelvic USG which was done for all women.

Results

Both PCOS cases and control were matched for age and BMI. Median AMH levels of 4.32 ng/ml in PCOS cases was almost twice that of 2.32 ng/ml in controls (p = 0.001). Maximum diagnostic potential of AMH alone for PCOS was at a cut-off of 3.44 ng/ml with sensitivity of 77.78% and specificity of 68.89%. AMH was used as an adjunct to existing Rotterdam criteria as the fourth parameter OA+HA+PCOM+AMH (any three out of four) yielded sensitivity of 80%. However, when PCOM in Rotterdam criteria was replaced by AMH, OA+HA+AMH (any two out of three) or OA/HA+AMH resulted in sensitivity of 86.67 and 71.11%, respectively.

Conclusion

AMH levels were significantly higher in PCOS than in controls. AMH as an independent marker could not effectively diagnose PCOS. However, AMH levels as an adjunct to existing Rotterdam criteria for diagnosis of PCOS had good diagnostic potential.

Differentiation between polycystic ovary syndrome and polycystic ovarian morphology by means of an anti-Müllerian hormone cutoff value

BACKGROUND/AIMS

Although increased serum anti-Müllerian hormone (AMH) level has been suggested to be a surrogate marker of polycystic ovarian morphology (PCOM), its association with polycystic ovary syndrome (PCOS) is controversial, and its diagnostic value has not been determined. We aimed to observe the relationship between the AMH level and PCOS phenotypes and to determine the optimal cutoff value of AMH for the diagnosis of PCOS in young Korean women.

METHODS

We recruited 207 women with PCOS (120 with PCOM and 87 without PCOM) and 220 regular cycling women with normoandrogenemia (100 with PCOM and 120 without PCOM). Subjects underwent testing at a single outpatient visit. Serum AMH level was measured.

RESULTS

Women with PCOS had higher serum AMH levels than did regular cycling women with normoandrogenemia (p < 0.05). Women with PCOM had higher serum AMH levels than women without PCOM, regardless of PCOS status (p < 0.05). The optimal AMH cutoff value for the diagnosis of PCOS was 10.0 ng/mL (71% sensitivity, 93% specificity). Serum AMH was an independent determinant of total testosterone after adjustment for age, body mass index, and the number of menses/year (β = 0.31, p < 0.01). An association between AMH and hyperandrogenism was only observed in women with PCOS, and it was independent of the presence of PCOM.

CONCLUSION

The serum AMH level can be useful for the diagnosis of PCOS at any age less than 40 years, and the optimal cutoff value for the diagnosis of PCOS identified in this study of young Korean women was 10.0 ng/mL.

Polycystic Ovary Syndrome (PCOS), Diagnostic Criteria, and AMH

The polycystic ovary syndrome (PCOS) is the most common cause of anovulatory infertility and a notable proportion of women of reproductive age are affected. It may constitute a risk factor for cancer development. Different factors could result in different manifestations and many of these are related to predispositions. It is essential to establish criteria to achieve an exact diagnosis of PCOS, especially among adolescent patients because of the overlap between features of PCO syndrome and physiological findings in puberty. Day by day the technology of ultrasonography is improving and accuracy is increasing, but remains dependent on the specific equipment available. Some factors are inter-related in determining PCOS prognosis. Serum AMH is synthesized by small antral follicles, which are precisely those seen on ultrasound and could help us to diagnose PCOS but there are many aspects that still require elucidation. In this mini- review we have attempted to identify some of these correlations.

ANTIMÜLLERIAN HORMONE AS INDICATOR OF OVARIAN DYSFUNCTION

Aim

The purpose of this study was to examine various hormonal, biochemical and environmental factors (i.e., smoking and alcohol intake) and to investigate their possible correlation to the development of polycystic ovary syndrome (PCOS). The main objective was to evaluate the associations between hormonal profile and the antimüllerian hormone (AMH) levels in PCOS patients and their relation to environmental factors.

Patients and Methods

In two gynecological clinics, 38 women with PCOS (defined according to the Rotterdam criteria) were enrolled and observed in relation to AMH, follicle stimulating hormone (FSH), luteinizing hormone (LH), testosterone (T), Δ4-androstendione (Δ4-A), dehydroepiandrosterone sulfate (DHEA-S) and glucose plasma concentrations. Obesity, smoking and alcohol exposure were also studied.

Results

AMH, T, Δ4-Α, DHEA-S, LH and FSH were increased in 76.3%, 50%, 31.8%, 23.7%, 21% and 18.4% of the patients, respectively. The LH/FSH ratio and glucose concentrations increased abnormally in 18.4% and 15.8% of the patients, respectively. AMH and T levels were both increased in 47.4% of the patients whereas both AMH and LH levels increased in 21% of the patients. Smoking, alcohol intake, obesity and glucose concentrations were not associated with AMH concentrations. On the contrary, high levels of T and LH were linked to higher levels of AMH. FSH concentrations were not increased in these patients.

Conclusion

AMH is an important hormonal parameter for the diagnosis of PCOS. Larger clinical controlled studies are necessary in an effort to further investigate the inclusion of AMH measurement in the diagnostic criteria of PCOS.

Age related endocrine patterns observed in polycystic ovary syndrome patients vs. ovulatory controls: descriptive data from a university based infertility center

Objective

To compare serum anti-Müllerian hormone (AMH) and other endocrine parameters between patients diagnosed with polycystic ovary syndrome (PCOS) and age-matched ovulatory women.

Materials and methods

AMH, DHEAS, FSH, LH, PRL, TSH and total testosterone (TT) were prospectively measured in oligo-ovulatory PCOS patients (n = 595) and in ovulatory non-PCOS women (n = 157) referred to a tertiary infertility center. Mean BMI was similar across the two study populations and there were no smokers in the sample. Patients in both groups were further classified into three categories by age: < 25 yrs, 25-34 yrs, and ≥ 35 yrs. Selected clinical and demographic characteristics were tabulated for each group.

Results

Serum AMH was significantly higher among PCOS patients compared to non-PCOS controls in the non-stratified sample (7.54 ± 5.8 vs. 2.49 ± 2.0 ng/mL, respectively; p < 0.0001), while serum FSH, DHEAS, TSH and prolactin were similar for both groups (p > 0.05). As expected, mean (total) testosterone levels were notably different between PCOS vs. non-PCOS controls (0.84 ± 0.76 vs. 0.43 ± 0.38 ng/mL, respectively; p < 0.001), and mean AMH level was significantly lower in the oldest age category (> 35 yrs) compared to both younger control groups (p < 0.0001). Both DHEAS and total testosterone decreased with age among PCOS patients, although mean serum DHEAS for women age > 35 yrs was significantly lower than DHEAS measured in younger women with PCOS (p < 0.02). For PCOS patients, AMH remained relatively stable irrespective of age.

Conclusion

Although AMH can serve as a satisfactory marker of ovarian reserve, for PCOS patients the expected decline in AMH associated with reproductive aging appears attenuated despite ovarian senescence. In contrast, mean DHEAS levels were markedly lower among older PCOS women (> 35 yrs) compared to younger PCOS patients.

Effect of sleeve gastrectomy bariatric surgery-induced weight loss on serum AMH levels in reproductive aged women

OBJECTIVE

This study aims to evaluate the change in serum anti-Mullerian hormone (AMH) levels in patients with morbid obesity undergoing bariatric surgery for weight loss.

MATERIAL AND METHODS

In this prospective observational study, 75 patients of reproductive age (20-35 years) undergoing bariatric surgery for morbid obesity were followed up after six months to determine the changes in weight, Body Mass Index (BMI), menstrual pattern and serum AMH. The results were further studied on basis of pre operative classification of patients in polycystic ovary syndrome (PCOS) and non-PCOS group.

RESULT

The serum AMH levels were statistically higher in patients of PCOS group pre operatively and at the end of six months in comparison to non-PCOS patients. The AMH values reduced post operatively in both groups significantly so much in the values though not significant statistically. Non-PCOS patients had lower AMH values pre operatively and showed a trend towards reducing ovarian reserve after six months. The overall change in AMH values in both groups was statistically significant as was the normalization of menstrual irregularity.

CONCLUSION

Morbidly obese patients with PCOS appear to benefit from bariatric surgery both in terms of regularization of menstrual function and normalization of serum AMH values.

Limited ability of circulating anti-Müllerian hormone to predict dominant follicular recruitment in PCOS women treated with clomiphene citrate: a comparison of two different assays

The present retrospective cohort study was conducted to investigate whether serum anti-Müllerian hormone (AMH) levels, determined by either the Immunotech (IOT) or the second generation (Gen II) assay, can predict follicular recruitment in women with polycystic ovary syndrome (PCOS) undergoing ovulation induction with clomiphene citrate (CC). Patients received 50 mg CC daily for ovulation induction followed by natural intercourse or intrauterine insemination. Overall, 84 women had their serum AMH levels tested before treatment [42 patients with Immunotech (IOT), and 42 patients with the Gen II assay]. The primary outcome was to determine dominant follicle (>10 mm) recruitment in relation to AMH levels. Thirty-three (79%) patients in the IOT and 34 (81%) patients in the Gen II assay group developed a dominant follicle within 15 days after initiation of CC. Circulating AMH levels did not differ between women with or without dominant follicular recruitment in the both groups. By using either the AMH IOT or the Gen II assay, serum AMH levels were not predictive of the development of a dominant follicle. In conclusion, serum AMH levels measured by IOT or Gen II assay, has limited value to predict PCOS patients who will develop a dominant follicle following ovulation induction with CC.

Anti-müllerian hormone and insulin-like 3 levels in healthy normal-weight ovulatory and anovulatory eumenorrheic late adolescent females: potential early biomarkers of ovarian dysfunction?

OBJECTIVE

The aim of this study was to evaluate differences in anti-müllerian hormone (AMH) and insulin-like 3 (INSL3) levels and their association with gonadotropin and ovarian steroid hormones, as expression of ovarian function, between healthy normal-weight ovulatory and anovulatory eumenorrheic late adolescent females.

STUDY DESIGN

This study analyzed AMH and INSL3 levels in forty healthy eumenorrheic late adolescent females (aged 16-19 ys), selected from a cross-sectional epidemiological study performed on the prevalence of hyperandrogenic states. The subjects were divided into ovulatory (n: 28) and anovulatory (n: 12) groups in accordance to a previous cluster analysis based on progesterone (P) distribution measured once in the latter part of the cycle. Both groups were compared for anthropometric, biochemical and hormonal parameters.

RESULTS

INSL3 and AMH were detectable in all samples. Testosterone (P=0.01), the free-androgen index (FAI) (P=0.051), gonadotropins (LH: P=0.02; FSH: P=0.004) and AMH (P=0.02) levels were significantly higher in the anovulatory group with respect to their ovulatory counterpart. A trend toward significantly higher INSL3 concentrations (P=0.08) was also shown in the anovulatory group. A positive correlation between INSL3 levels and androgens such as androstenedione (r=0.38; P=0.02), testosterone (r=0.44; P=0.004) and FAI (r=0.42; P=0.006) and a negative borderline significant correlation (r=-0.30; P=0.055) between AMH and P were shown in all subjects.

CONCLUSION

Healthy eumenorrheic late adolescent females with sporadic anovulation display higher AMH and INSL-3 blood concentrations in association with higher androgen levels compared with age- and BMI-matched subjects with ovulatory cycle, suggesting evidence of an earlier ovarian dysfunction.

Maximizing the clinical utility of antimüllerian hormone testing in women's health

Purpose of review

To provide an update on the latest clinical applications of serum antimüllerian hormone (AMH) testing with practical approaches to mitigate the impact of significant variability in AMH results.

Recent findings

Recent studies continue to demonstrate that AMH is the best single serum test for ovarian response management with, at most, a weak-to-moderate age-independent association with live-birth rate and time to conception. Data confirm serum AMH levels improve menopause prediction, monitoring of ovarian damage, and identification of women at risk for several ovary-related disorders such as polycystic ovary syndrome and premature or primary ovarian insufficiency. However, it is now recognized that serum AMH results can have dramatic variability due to common, biologic fluctuations within some individuals, use of hormonal contraceptives or other medications, certain surgical procedures, specimen treatment, assay changes, and laboratory calibration differences. Practical guidelines are provided to minimize the impact of variability in AMH results and maximize the accuracy of clinical decision-making.

Summary

AMH is an ovarian biomarker of central importance which improves the clinical management of women's health. However, with the simultaneous rapid expansion of AMH clinical applications and recognition of variability in AMH results, consensus regarding the clinical cutpoints is increasingly difficult. Therefore, a careful approach to AMH measurement and interpretation in clinical care is essential.