Can Menopause Prediction Be Improved With Multiple AMH Measurements? Results From the Prospective Doetinchem Cohort Study

Can we predict menopause and premature ovarian insufficiency?

The prediction of menopause and premature ovarian insufficiency (POI) involves understanding the factors that contribute to the timing of these events. Menopause is a natural biological process marked by the cessation of menstrual periods, typically occurring around the age of 51. On the other hand, POI refers to the loss of ovarian function before the age of 40. Several factors have been used to predict menopause and POI such as age, antimüllerian hormone, inhibins and follicle-stimulating hormone serum levels, antral follicle counts, menstrual cycle length, and, recently, some genetic markers. It seems that age has the best predictive power and all the other ones are only adding in a very limited way to the prediction of menopause. Low levels of antimüllerian hormone in young women might indicate a greater risk for POI and could facilitate early diagnosis. It is, however, important to note that predicting the exact timing of menopause and POI is challenging, and individual variations are significant. Although these factors can provide some insights, they are not foolproof predictors. Advances in medical research and technology may lead to more accurate methods for predicting menopause and POI in the future.

Antimüllerian Hormone as a Tool to Predict the Age at Menopause

This study aimed to assess an eligible cut-off value of anti-Müllerian hormone (AMH) to detect ovarian senescence in a group of premenopausal Greek women to evaluate the possible link between AMH-values and the severity of climacteric symptoms during a follow-up of 24 months. This study included 180 women (group A, 96 women of late reproductive stage/early perimenopause; group B, 84 women in late perimenopause). We measured AMH blood levels and assessed climacteric symptoms using the Greene scale. Log-AMH is inversely associated with postmenopausal status. The AMH cut-off of 0.012 ng/mL predicts the postmenopausal status with a sensitivity of 24.2% and specificity of 30.5%. The postmenopausal stage associated with age (OR = 1.320, 95%CI: 1.084-1.320) and AMH (values ≥ vs. <0.012 ng/mL, OR = 0.225, 95%CI: 0.098-0.529, p-value < 0.001). Moreover, the severity of vasomotor symptoms (VMS) was only associated inversely with AMH (b-coefficient = -0.272, p-value = 0.027). In conclusion, AMH levels measured in the late premenopausal period are inversely associated with the time to ovarian senescence. In contrast, AMH levels measured in the perimenopausal period are inversely associated only with the severity of VMS. Therefore, a cut-off of 0.012 ng/mL predicts menopause with low sensitivity and specificity, making it challenging to use in a clinical setting.

Anti-Müllerian hormone for the diagnosis and prediction of menopause: a systematic review

BACKGROUND

The early onset of menopause is associated with increased risks of cardiovascular disease and osteoporosis. As a woman's circulating anti-Müllerian hormone (AMH) concentration reflects the number of follicles remaining in the ovary and declines towards the menopause, serum AMH may be of value in the early diagnosis and prediction of age at menopause.

OBJECTIVE AND RATIONALE

This systematic review was undertaken to determine whether there is evidence to support the use of AMH alone, or in conjunction with other markers, to diagnose menopause, to predict menopause, or to predict and/or diagnose premature ovarian insufficiency (POI).

SEARCH METHODS

A systematic literature search for publications reporting on AMH in relation to menopause or POI was conducted in PubMed®, Embase®, and the Cochrane Central Register of Controlled Trials up to 31 May 2022. Data were extracted and synthesized using the Synthesis Without Meta-analysis for diagnosis of menopause, prediction of menopause, prediction of menopause with a single/repeat measurement of AMH, validation of prediction models, short-term prediction in perimenopausal women, and diagnosis and prediction of POI. Risk-of-bias was evaluated using the Tool to Assess Risk of Bias in Cohort Studies protocol and studies at high risk of bias were excluded.

OUTCOMES

A total of 3207 studies were identified, and 41, including 28 858 women, were deemed relevant and included. Of the three studies that assessed AMH for the diagnosis of menopause, one showed that undetectable AMH had equivalent diagnostic accuracy to elevated FSH (>22.3 mIU/ml). No study assessed whether AMH could be used to shorten the 12 months of amenorrhoea required for a formal diagnosis of menopause. Studies assessing AMH with the onset of menopause (27 publications [n = 23 835 women]) generally indicated that lower age-specific AMH concentrations are associated with an earlier age at menopause. However, AMH alone could not be used to predict age at menopause with precision (with estimates and CIs ranging from 2 to 12 years for women aged <40 years). The predictive value of AMH increased with age, as the interval of prediction (time to menopause) shortened. There was evidence that undetectable, or extremely low AMH, may aid early diagnosis of POI in young women with a family history of POI, and women presenting with primary or secondary amenorrhoea (11 studies [n = 4537]).

WIDER IMPLICATIONS

The findings of this systematic review support the use of serum AMH to study the age of menopause in population studies. The increased sensitivity of current AMH assays provides improved accuracy for the prediction of imminent menopause, but diagnostic use for individual patients has not been rigorously examined. Prediction of age at menopause remains imprecise when it is not imminent, although the finding of very low AMH values in young women is both of clinical value in indicating an increased risk of developing POI and may facilitate timely diagnosis.

Models and Biomarkers for Ovarian Ageing

The human ovarian reserve is defined by the number of non-growing follicles (NGFs) in the ovary, with the age-related decline in NGF population determining age at menopause for healthy women. In this chapter, the concept of ovarian reserve is explored in detail, with a sequence of models described that in principle allow any individual to be compared to the general population. As there is no current technology that can count the NGFs in a living ovary, we move our focus to biomarkers for the ovarian reserve. Using serum analysis and ultrasound it is possible to measure anti-Müllerian hormone (AMH), follicle-stimulating hormone (FSH), and ovarian volume (OV) and to count numbers of antral follicles (AFC). These are compared, with ovarian volume being the closest to a true biomarker for a wide range of ages and with AMH and AFC being the most popular for post-pubertal and pre-menopausal ages. The study of genetic and subcellular biomarkers for the ovarian reserve has produced less concrete results. Recent advances are described and compared in terms of limitations and potential. The chapter concludes with an overview of the future study indicated by our current knowledge and by current controversy in the field.

Follicle development and its prediction in patients with primary ovarian insufficiency: Possible treatments and markers to maximize the ability to conceive with residual follicles

Background

Primary ovarian insufficiency (POI) is characterized by the development of hypergonadotropic hypogonadism before 40 years of age and leads to intractable infertility. Although in vitro fertilization and embryo transfer with donated eggs enables pregnancy, not a few patients desire pregnancy using their oocytes. However, follicular development is rare and unpredictable in patients with POI. Thus, there is a need for treatments that promote the development of residual follicles and methods to accurately predict infrequent ovulation.

Methods

This review discusses the effects of various treatments for obtaining eggs from POI patients. Furthermore, this study focused a potential marker for predicting follicular growth in patients with POI.

Main Findings

Different treatments such as hormone-replacement therapy, dehydroepiandrosterone supplementation, platelet-rich plasma injection, and in vitro activation have shown varying degrees of effectiveness in retrieving oocytes from patients with POI. To predict follicle development in the cycle, elevated serum estradiol and reduced follicle-stimulating hormone (FSH) levels are important. However, these markers are not always reliable under continuous estradiol-replacement therapy. As a novel marker for predicting follicle growth, serum anti-Müllerian hormone (AMH) levels, measured using the picoAMH enzyme-linked immunosorbent assay, were found to predict follicle growth in patients and the cycle.

Conclusion

This review highlights the challenges and available interventions for achieving pregnancy using a patient's oocytes in cases of POI. We believe that a combination of currently available treatments and prediction methods is the best strategy to enable patients with POI to conceive using their own eggs. Although AMH levels may predict follicle growth, further research is necessary to improve the chances of successful follicular development and conception in patients with POI.

The effect of opportunistic salpingectomy for primary prevention of ovarian cancer on ovarian reserve: a systematic review and meta-analysis

BACKGROUND

Opportunistic salpingectomy (OS) is an attractive method for primary prevention of ovarian cancer. Although OS has not been associated with a higher complication rate, it may be associated with earlier onset of menopause.

OBJECTIVE

To provide a systematic review and meta-analysis of the effect of OS on both age at menopause and ovarian reserve.

METHODS

A search was conducted in the Cochrane Library, Embase and MEDLINE databases from inception until March 2022. We included randomized clinical trials and cohort studies investigating the effect of OS on onset of menopause and/or ovarian reserve through change in anti-Müllerian hormone (AMH), antral follicle count (AFC), estradiol (E2), follicle stimulating hormone (FSH) and luteinizing hormone (LH). Data was extracted independently by two researchers. Random-effects meta-analyses were conducted to estimate the pooled effect of OS on ovarian reserve.

RESULTS

The initial search yielded 1047 studies. No studies were found investigating the effect of OS on age of menopause. Fifteen studies were included in the meta-analysis on ovarian reserve. Meta-analyses did not result in statistically significant differences in mean change in AMH (MD -0.07 ng/ml, 95%CI -0.18;0.05), AFC (MD 0.20 n, 95 % CI -4.91;5.30), E2 (MD 3.97 pg/ml, 95%CI -0.92;8.86), FSH (MD 0.33mIU/ml, 95%CI -0.15;0.81) and LH (MD 0.03mIU/ml; 95%CI -0.47;0.53).

CONCLUSION

Our study shows that OS does not result in a significant reduction of ovarian reserve in the short term. Further research is essential to confirm the absence of major effects of OS on menopausal onset since clear evidence on this subject is lacking. Registration number PROSPERO CRD42021260966.

The interplay between diabetes mellitus and menopause: clinical implications

The menopausal transition is an impactful period in women's lives, when the risk of cardiovascular disease is accelerated. Similarly, diabetes mellitus profoundly impacts cardiovascular risk. However, the interplay between menopause and diabetes mellitus has not been adequately studied. The menopausal transition is accompanied by metabolic changes that predispose to diabetes mellitus, particularly type 2 diabetes mellitus (T2DM), as menopause results in increased risk of upper body adipose tissue accumulation and increased incidence of insulin resistance. Equally, diabetes mellitus can affect ovarian ageing, potentially causing women with type 1 diabetes mellitus and early-onset T2DM to experience menopause earlier than women without diabetes mellitus. Earlier age at menopause has been associated with a higher risk of T2DM later in life. Menopausal hormone therapy can reduce the risk of T2DM and improve glycaemic control in women with pre-existing diabetes mellitus; however, there is not enough evidence to support the administration of menopausal hormone therapy for diabetes mellitus prevention or control. This Review critically appraises studies published within the past few years on the interaction between diabetes mellitus and menopause and addresses all clinically relevant issues, such as the effect of menopause on the development of T2DM, and the management of both menopause and diabetes mellitus.

Risk Prediction Models of Natural Menopause Onset: A Systematic Review

CONTEXT

Predicting the onset of menopause is important for family planning and to ensure prompt intervention in women at risk of developing menopause-related diseases.

OBJECTIVE

We aimed to summarize risk prediction models of natural menopause onset and their performance.

METHODS

Five bibliographic databases were searched up to March 2022. We included prospective studies on perimenopausal women or women in menopausal transition that reported either a univariable or multivariable model for risk prediction of natural menopause onset. Two authors independently extracted data according to the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist. Risk of bias was assessed using a prediction model risk of bias assessment tool (PROBAST).

RESULTS

Of 8132 references identified, we included 14 articles based on 8 unique studies comprising 9588 women (mainly Caucasian) and 3289 natural menopause events. All included studies used onset of natural menopause (ONM) as outcome, while 4 studies also predicted early ONM. Overall, there were 180 risk prediction models investigated, with age, anti-Müllerian hormone, and follicle-stimulating hormone being the most investigated predictors. Estimated C-statistic for the prediction models ranged from 0.62 to 0.95. Although all studies were rated at high risk of bias mainly due to the methodological concerns related to the statistical analysis, their applicability was satisfactory.

CONCLUSION

Predictive performance and generalizability of current prediction models on ONM is limited given that these models were generated from studies at high risk of bias and from specific populations/ethnicities. Although in certain settings such models may be useful, efforts to improve their performance are needed as use becomes more widespread.

Evaluation of Female Fertility-AMH and Ovarian Reserve Testing

CONTEXT

Evaluation of the infertile female requires an understanding of ovulation and biomarkers of ovarian reserve. Antimüllerian hormone (AMH) correlates with growing follicles in a menstrual cycle. Increasingly, AMH has been used as a "fertility test." This narrative review describes how to integrate the use of AMH into diagnosis and treatment.

METHODS

A PubMed search was conducted to find recent literature on measurements and use of serum AMH as a marker of ovarian reserve and in treatment of infertility.

RESULTS

Serum AMH estimates ovarian reserve, helps determine dosing in ovarian stimulation, and predicts stimulation response. As such, AMH is a good marker of oocyte quantity but does not reflect oocyte health or chances for pregnancy. Screening of AMH before fertility treatment should be used to estimate expected response and not to withhold treatment. Low AMH levels may suggest a shortened reproductive window. AMH levels must be interpreted in the context of the endogenous endocrine environment where low follicle-stimulating hormone, due to hypogonadotropic hypogonadism or hormonal contraceptive use, may lower AMH without being a true reflection of ovarian reserve. In addition, there is an inverse correlation between body mass index and AMH that does not reflect ovarian response.

CONCLUSION

AMH is a useful marker of ovarian reserve in reproductive-aged women. Increased screening of noninfertile women requires a thorough knowledge of situations that may affect AMH levels. In no situation does AMH reflect oocyte health or chances for conception. Age is still the strongest driver in determining success rates with fertility treatments.

Anti-Müllerian hormone as a marker of ovarian reserve and premature ovarian insufficiency in children and women with cancer: a systematic review

BACKGROUND

Female patients undergoing anticancer treatment are at elevated risk of adverse ovarian outcomes including infertility and premature ovarian insufficiency (POI), which is associated with short- and long-term health risks. Anti-Müllerian hormone (AMH) is a key biomarker of ovarian reserve, but its role prior to and after cancer treatment is less well understood.

OBJECTIVE AND RATIONALE

To conduct a systematic review evaluating AMH as a biomarker of ovarian reserve and POI before and after anticancer treatment, which has become a pressing clinical issue in reproductive medicine. There are a large number of observational studies, but differences in patient groups, cancer diagnoses and study design make this a confusing field that will benefit from a thorough and robust review.

SEARCH METHODS

A systematic literature search for AMH in women with cancer was conducted in PubMed, Embase and Cochrane Central Register of Controlled Trials up to 1 April 2021. Bias review was conducted using the Risk of Bias In Non-randomized Studies of Interventions (ROBINS-I) protocol along with qualitative assessment of quality. Exploratory subgroups were established based on age, cancer type and length of follow-up.

OUTCOMES

Ninety-two publications (N = 9183 patients) were included in this analysis after quality and bias review. Reduced/undetectable AMH was consistently identified in 69/75 studies (92%) following chemotherapy or radiotherapy, with reductions ranging from 42% to concentrations below the limit of detection, and many reporting mean or median declines of ≥90%. Where longitudinal data were analysed (42 studies), a majority (33/42 (79%)) of studies reported at least partial recovery of AMH at follow-up, however, effect estimates were highly variable, reflecting that AMH levels were strongly impacted by anticancer treatment (i.e. the chemotherapy regimen used and the number of treatment cycles need), with recovery and its degree determined by treatment regimen, age and pre-treatment AMH level. In 16/31 (52%) publications, oligo/amenorrhoea was associated with lower post-treatment AMH consistent with impending POI, although menstruation and/or pregnancy were reported in patients with low or undetectable AMH. Long-term (>5 years) follow-up of paediatric patients following cancer treatment also found significantly lower AMH compared with control groups in 14/20 (70%) of studies, with very variable effect sizes from complete loss of AMH to full recovery depending on treatment exposure, as in adult patients.

WIDER IMPLICATIONS

AMH can be used to identify the damaging effect of cancer treatments on ovarian function. This can be applied to individual women, including pre-pubertal and adolescent girls, as well as comparing different treatment regimens, ages and pre-treatment AMH levels in populations of women. While there was evidence for its value in the diagnosis of POI after cancer treatment, further studies across a range of diagnoses/treatment regimens and patient ages are required to clarify this, and to quantify its predictive value. A major limitation for the use of AMH clinically is the very limited data relating post-treatment AMH levels to fertility, duration of reproductive lifespan or time to POI; analysis of these clinically relevant outcomes will be important in further research.

Menopause and cardiometabolic diseases: What we (don't) know and why it matters

This narrative review discusses the current understanding, knowledge gaps and challenges in expanding our knowledge of the association between menopause and the reproductive aging process and cardiometabolic disease (CMD) in women, with a focus on type 2 diabetes and cardiovascular disease. The physiological changes that occur at different stages of the reproductive life span, as well as type of menopause and timing, are factors widely associated with CMD risk; however, the underlying mechanisms remain either unclear or insufficiently studied. Decreased ovarian estrogen production and relative androgen excess around menopause onset are the most studied factors linking menopause and cardiometabolic health; nevertheless, the evidence is not persuasive and other hypotheses might explain the changes in CMD risk during menopausal transition. In this context, hormone therapy has been widely adopted in the treatment and prevention of CMD, although uncertainty regarding its cardiometabolic effects has raised the need to optimize therapeutic modalities. Mechanisms such as the "iron overload theory" and new "omics" platforms could provide new insights into potential pathways underlying the association between menopause and cardiometabolic health, such as the DNA damage response. Although it has been widely reported that environmental and lifestyle factors affect both menopause and cardiometabolic health, there is little evidence on the role of these exposures in menopause-associated CMD risk.

Idiopathic early ovarian aging: is there a relation with premenopausal accelerated biological aging in young women with diminished response to ART?

PURPOSE

To evaluate whether young women with idiopathic early ovarian aging, as defined by producing fewer oocytes than expected for a given age over multiple in vitro fertilization (IVF) cycles, have changes in telomere length and epigenetic age indicating accelerated biological aging (i.e., increased risk of morbidity and mortality).

METHODS

A prospective cohort study was conducted at two Danish public fertility clinics. A total of 55 young women (≤ 37 years) with at least two IVF cycles with ≤ 5 harvested oocytes despite sufficient stimulation with follicle-stimulating hormone (FSH) were included in the early ovarian aging group. As controls, 52 young women (≤ 37 years) with normal ovarian function, defined by at least eight harvested oocytes, were included. Relative telomere length (rTL) and epigenetic age acceleration (AgeAccel) were measured in white blood cells as markers of premenopausal accelerated biological aging.

RESULTS

rTL was comparable with a mean of 0.46 (± SD 0.12) in the early ovarian aging group and 0.47 (0.14) in the normal ovarian aging group. The AgeAccel of the early ovarian aging group was, insignificantly, 0.5 years older, but this difference disappeared when adjusting for chronological age. Sub-analysis using Anti-Müllerian hormone (AMH) as selection criterion for the two groups did not change the results.

CONCLUSION

We did not find any indications of accelerated aging in whole blood from young women with idiopathic early ovarian aging. Further investigations in a similar cohort of premenopausal women or other tissues are needed to fully elucidate the potential relationship between premenopausal accelerated biological aging and early ovarian aging.

Can time to menopause be predicted?

Menopause represents the definite end of a woman's reproductive life and the onset of a persistent hypoestrogenic state. This postmenopausal period will for most women last several decades. Although mean menopausal age seems to have increased somewhat during the last century, there is a significant individual variation in age at natural menopause. With efficient contraception, women of reproductive age can now, to some extent, choose when they want to have children. As a consequence of this and other sociodemographic changes, age at first birth has increased significantly over the last 50 years. It is well documented that long before a woman enters the menopausal transition and subsequent menopause, fertility declines and finally ceases. Being able to predict when a woman will enter menopause would therefore, from a reproductive perspective, be of major interest. Several sociodemographic, morphometric, and endocrine factors are associated with age at menopause or time to menopause. Unfortunately the sensitivity and specificity of these in predicting time to or age at menopause are low. Therefore, with the exception of anti-Müllerian hormone measurements, either alone or in combination with chronological age close to menopause, there are as of now no reliable ways of predicting when a woman will enter menopause.

Challenges in Measuring AMH in the Clinical Setting

Serum anti-Mullerian hormone (AMH) is a widely used marker of functional ovarian reserve in the assessment and treatment of infertility. It is used to determine dosing of gonadotropins used for superovulation prior to in vitro fertilization, as well as to determine the degree of damage to ovarian reserve by cytotoxic treatments such as chemotherapy. AMH is also now used to predict proximity to menopause and potentially provides a sensitive and specific test for polycystic ovarian syndrome. Twenty one different AMH immunoassay platforms/methods are now commercially available. Of those compared, the random-access platforms are the most reliable. However, to date there has not been an agreed common international AMH reference preparation to standardize calibration between the various immunoassays. Recently, a purified human AMH preparation (code 16/190) has been investigated by the World Health Organization as a potential international reference preparation. However, this was only partially successful as commutability between it and serum samples was observed only in some but not all immunoassay methods. Development of a second generation reference preparation with wider commutability is proposed.

Diminished ovarian reserve is associated with reduced euploid rates via preimplantation genetic testing for aneuploidy independently from age: evidence for concomitant reduction in oocyte quality with quantity

OBJECTIVE(S)

To determine whether women with diminished ovarian reserve (DOR) (quantitatively) had lower rates of euploid blastocysts, as a proxy for oocyte quality.

DESIGN

Retrospective cohort study.

SETTING

University reproductive health clinic.

PATIENT(S)

A total of 1,152 women aged 19-42 years underwent 1,675 IVF cycles yielding 8,073 blastocysts for biopsy from 2010 to 2019.

INTERVENTIONS(S)

Preimplantation genetic testing for aneuploidy.

MAIN OUTCOME MEASURE(S)

Euploid rates, defined as the number of euploid blastocysts divided by the number of biopsied blastocysts per cycle.

RESULT(S)

A total of 225 women (20%) had DOR as infertility diagnosis per the Bologna criteria. Age was higher among the women with DOR (39.5 y vs. 37.0 y). Euploid rates were lower among women with vs. without DOR (29.0% vs. 44.9%). In generalized linear models controlling for age, women with DOR had 24% reduced odds of a biopsied blastocyst being euploid versus women without DOR. In a secondary analysis assigning DOR status to women producing the lowest quartile of age-adjusted mature oocyte yield, this relationship remained. No differences were identified in live birth rates between women with and without DOR after euploid single-embryo transfer independently from age (n = 944 transfers; 56.8% vs. 54.8%, respectively).

CONCLUSION(S)

Blastocysts from women with DOR are less likely to be euploid than those from women without DOR after adjustment for age. Given the concomitant reduction in euploid rates with quantity of oocytes observed in this study, quantitative ovarian reserve assessments (i.e., follicular machinery) may yield insight into relative ovarian aging.

Prediction of premature ovarian insufficiency: foolish fallacy or feasible foresight?

Prediction of premature ovarian insufficiency (POI) would be of substantial individual benefit, but being a heterogeneous and fluctuating condition, with an extensive range of complex etiologies and arbitrary diagnostic criteria, might make this seem foolhardy. However, contemporary and complementary genetic strategies assessing consanguineous and large POI pedigrees and cohorts with age at natural menopause have shown strong enrichment in genes regulating DNA damage repair, homologous recombination, and meiosis, processes that are critical to oogenesis and folliculogenesis. Recognition of the molecular architecture of POI and its contribution to baseline genotypic risk may enable these estimates to be refined further by estimation of the residual ovarian reserve. Increasing data derived from spontaneous and gonadotoxic-induced POI cohorts demonstrate the utility of anti-Müllerian hormone (AMH) to predict POI. This review presents current understanding of how genetics in combination with AMH may facilitate the prediction of POI.

Anti-Müllerian Hormone in the Diagnosis and Prediction of Premature Ovarian Insufficiency

The menopause and its pathological version, premature ovarian insufficiency (POI), are characterized by the cessation of follicle growth in the ovary, with consequent lack of estrogen production and amenorrhea. The measurement of a specific product of ovarian follicles would therefore be expected to be a valuable biomarker in women with POI, and to be of likely clinical value in the diagnosis and perhaps prediction of POI. Anti-Müllerian hormone (AMH) is produced by the granulosa cells of growing follicles and is therefore likely to be of value in this context. Current data indicate that measurement of AMH is an accurate indicator of POI in many situations and has diagnostic validity and may facilitate more timely diagnosis. AMH seems to be of limited value in predicting age at natural menopause, even with multiple measurements, and there are scarce data regarding prediction of POI, other than when it is imminent, and in some contexts where there is an immediate iatrogenic threat to ovarian function. AMH therefore appears to have considerable value as a diagnostic test for POI, but apart from highlighting broadly those at increased risk, it has inadequate precision to be able to predict accurately the timing of onset of impending POI.

Does the Anti-Mullerian Hormone Decline Rate Improve the Prediction of Age at Menopause?

OBJECTIVES

There are controversial studies investigating whether multiple anti-Mullerian hormone (AMH) measurements can improve the individualized prediction of age at menopause in the general population. This study aimed to reexplore the additive role of the AMH decline rate in single AMH measurement for improving the prediction of age at physiological menopause, based on two common statistical models for analysis of time-to-event data, including time-dependent Cox regression and Cox proportional-hazards regression models.

METHODS

A total of 901 eligible women, aged 18-50 years, were recruited from the Tehran Lipid and Glucose Study (TLGS) population and followed up every 3 years for 18 years. The serum AMH level was measured at the time of recruitment and twice after recruitment within 6-year intervals using the Gen II AMH assay. The added value of repeated AMH measurements for the prediction of age at menopause was explored using two different statistical approaches. In the first approach, a time-dependent Cox model was plotted, with all three AMH measurements as time-varying predictors and the baseline age and logarithm of annual AMH decline as time-invariant predictors. In the second approach, a Cox proportional-hazards model was fitted to the baseline data, and improvement of the complex model, which included repeated AMH measurements and the logarithm of the AMH annual decline rate, was assessed using the C-statistic.

RESULTS

The time-dependent Cox model showed that each unit increase in the AMH level could reduce the risk of menopause by 87%. The Cox proportional-hazards model also improved the prediction of age at menopause by 3%, according to the C-statistic. The subgroup analysis for the prediction of early menopause revealed that the risk of early menopause increased by 10.8 with each unit increase in the AMH annual decline rate.

CONCLUSION

This study confirmed that multiple AMH measurements could improve the individual predictions of the risk of at physiological menopause compared to single AMH measurements. Different alternative statistical approaches can also offer the same interpretations if the essential assumptions are met.

Role of AMH in Prediction of Menopause

Anti-Müllerian Hormone (AMH) is produced by small antral follicles and has evolved over the past three decades as an assumed potential marker of the number of follicles in the human ovaries, also known as ovarian reserve. This quantitative measure, given the gradual decline over time and its non-replenishable feature, could be the dreamed marker for predicting the final exhaustion of ovarian storage: the post-menopause. This introductory chapter summarizes current knowledge with regard to the contribution of serum AMH measurements to predict age of normal menopause and critically discuss its potential in this regard. Furthermore, its predictive role in the context of menopause in association with several frequently occurring fertility disorders such as premature menopause, polycystic ovarian syndrome and endometriosis are discussed. Overall, while ovarian reserve markers including AMH are unmistakably related to age at menopause, they are insufficiently precise to inform on an individual's journey of ovarian aging.

Anti-Müllerian hormone in African-American women with systemic lupus erythematosus

OBJECTIVE

Women with SLE may experience ovarian insufficiency or dysfunction due to treatment or disease effects. Anti-Müllerian hormone (AMH), a marker of ovarian reserve, has been examined in small populations of women with SLE with conflicting results. To date, these studies have included very few African-American women, the racial/ethnic group at greatest risk of SLE.

METHODS

We enrolled African-American women aged 22-40 years diagnosed with SLE after age 17 from the Atlanta Metropolitan area. Women without SLE from the same area were recruited from a marketing list for comparison. AMH was measured in serum using the Ansh Labs assay (Webster, Texas, USA). We considered AMH levels <1.0 ng/mL and AMH <25th percentile of comparison women as separate dichotomous outcomes. Log-binomial regression models estimating prevalence ratios were adjusted for age, body mass index and hormonal contraception use in the previous year.

RESULTS

Our sample included 83 comparison women without SLE, 68 women with SLE and no history of cyclophosphamide (SLE/CYC-) and 11 women with SLE and a history of cyclophosphamide treatment (SLE/CYC+). SLE/CYC+ women had a greater prevalence of AMH <1.0 ng/mL compared with women without SLE (prevalence ratio (PR): 2.90, 95% CI: 1.29 to 6.51). SLE/CYC- women were also slightly more likely to have AMH <1.0 ng/mL (PR: 1.62, 95% CI: 0.93 to 2.82) than comparison women. Results were similar when considering AMH <25th percentile by age of comparison women.

CONCLUSIONS

Treatment with CYC is associated with low AMH in African-American women with SLE. SLE itself may also be associated with reduced AMH, but to a lesser extent.

Anti-Müllerian Hormone and Ovarian Reserve: Update on Assessing Ovarian Function

CONTEXT

Anti-müllerian hormone (AMH) is produced by granulosa cells of small, growing follicles in the ovary. Serum AMH levels strongly correlate with the number of growing follicles, and therefore AMH has received increasing attention as a marker for ovarian reserve. This review summarizes recent findings and limitations in the application of serum AMH in ovarian reserve assessment.

EVIDENCE ACQUISITION

A PubMed search was conducted to find recent literature on the measurements and use of serum AMH as a marker for ovarian reserve.

EVIDENCE SYNTHESIS

Serum AMH levels are measured to assess the "functional ovarian reserve," a term that is preferred over "ovarian reserve," since AMH levels reflect the pool of growing follicles that potentially can ovulate. Serum AMH levels are used in individualized follicle-stimulating hormone dosing protocols and may predict the risk of poor response or ovarian hyperstimulation syndrome but has limited value in predicting ongoing pregnancy. Serum AMH levels are studied to predict natural or disease-related age of menopause. Studies show that the age-dependent decline rates of AMH vary among women. The generalized implementation of serum AMH measurement has also led to an increase in diagnostic assays, including automated assays. However, direct comparison of results remains problematic.

CONCLUSION

Serum AMH remains the preferred ovarian reserve marker. However, the lack of an international standard for AMH limits comparison between AMH assays. Furthermore, little is known about endogenous and exogenous factors that influence serum AMH levels, which limits proper interpretation of AMH values in a clinical setting.

What Every Gynecologist Should Know About Perimenopause

Perimenopause often represents a physiologically challenging phase in women's lives. The clinical presentation of the perimenopause includes infertility, irregular menstrual cycles, menorrhagia, and new onset of or worsening of mood disorders. Unlike menopause, which is characterized by low levels of estradiol and progesterone, the hallmark of perimenopause is highly variable levels of estradiol and progesterone with abrupt increases and decreases that are often described as a hormonal roller coaster. This chapter invites general gynecologists to understand the hormonal basis of the common complaints of perimenopause and offers information about the physiology of these issues and helpful treatment options.

Endogenous Testosterone Levels Are Associated with Risk of Type 2 Diabetes in Women without Established Comorbidity

Purpose

The impact of endogenous androgen levels on the risk of type 2 diabetes in women remains uncertain. The objective was to investigate associations between endogenous androgen levels and risk of type 2 diabetes in young women without established comorbidity.

Methods

In this retrospective cohort study, women aged 18 to 50 years who underwent measurement of plasma testosterone, dehydroepiandrosterone-sulfate (DHEA-S), dihydrotestosterone (DHT), and sex hormone-binding globulin (SHBG) for the first time from January 2007 to December 2015 were included. Androgens were analyzed using tandem liquid chromatography mass spectrometry. Women with established comorbidity were excluded, using Danish healthcare registries. We calculated incidence rate ratios (IRRs, 95% confidence intervals) of type 2 diabetes according to quartiles of plasma androgens using multivariate Poisson regression models.

Results

A total of 8876 women, with a mean ± SD age of 38.5 ± 4.6 years and a median (interquartile range [IQR]) follow-up duration of 8.1 (6.6-9.4) years, were eligible for analyses. During 69 728 person-years, 69 women were diagnosed with type 2 diabetes. Women in the highest quartile of plasma total testosterone and calculated free testosterone displayed increased risk of type 2 diabetes compared with the lowest quartile: IRR 1.97 (1.01; 3.85), P = .048 and IRR 7.32 (2.84; 18.83), P < .001. SHBG was inversely associated with type 2 diabetes, Q4 versus Q1; IRR 0.06 (0.02; 0.21), P < .001. Plasma DHEA-S and DHT were not associated with incident type 2 diabetes.

Conclusions

Higher levels of plasma total and free testosterone were associated with increased risk of type 2 diabetes among women.

Improving Prediction of Age at Menopause Using Multiple Anti-Müllerian Hormone Measurements: the Tehran Lipid-Glucose Study

CONTEXT

Several statistical models were introduced for the prediction of age at menopause using a single measurement of anti-müllerian hormone (AMH); however, individual prediction is challenging and needs to be improved.

OBJECTIVE

The objective of this study was to determine whether multiple AMH measurements can improve the prediction of age at menopause.

DESIGN

All eligible reproductive-age women (n = 959) were selected from the Tehran Lipid and Glucose Study. The serum concentration of AMH was measured at the time of recruitment and twice after that at an average of 6-year intervals. An accelerated failure-time model with Weibull distribution was used to predict age at menopause, using a single AMH value vs a model that included the annual AMH decline rate. The adequacy of these models was assessed using C statistics.

RESULTS

The median follow-up period was 14 years, and 529 women reached menopause. Adding the annual decline rate to the model that included single AMH improved the model's discrimination adequacy from 70% (95% CI: 67% to 71%) to 78% (95% CI: 75% to 80%) in terms of C statistics. The median of differences between actual and predicted age at menopause for the first model was -0.48 years and decreased to -0.21 in the model that included the decline rate. The predicted age at menopause for women with the same amount of age-specific AMH but an annual AMH decline rate of 95 percentiles was about one decade lower than in those with a decline rate of 5 percentiles.

CONCLUSION

Prediction of age at menopause could be improved by multiple AMH measurements; it will be useful in identifying women at risk of early menopause.