Age-specific values of Access anti-Müllerian hormone immunoassay carried out on Japanese patients with infertility: a retrospective large-scale study

Changes in anti-Müllerian hormone values for ovarian reserve after minimally invasive benign ovarian cystectomy: comparison of the Da Vinci robotic systems (Xi and SP) and the laparoscopic system

To investigate the impact on the ovarian reserve after minimally invasive ovarian cystectomy using two platforms, the Da Vinci robotic system (Xi and SP) and the laparoscopic system. Patients underwent laparoscopic or Da Vinci robotic (Xi or SP) ovarian cystectomy for benign ovarian cysts between January 1, 2018, and December 31, 2022 at Guro Hospital, Korea University Medical center. We measured the change of AMH values (%) = [(postAMH - preAMH)] × 100/preAMH. No significant differences in preoperative age, cyst size, estimated blood loss during surgery, hemoglobin drop, length of hospital stay, adhesion detachment rate and cyst rupture rate were observed. However, the operative time was significantly shorter in the laparoscopic group than that in the robotic group (67.78 ± 30.58 min vs. 105.17 ± 38.87 min, p < 0.001) The mean preAMH and postAMH were significantly higher with the Da Vinci robotic group than with the laparoscopic group (preAMH: 5.89 ± 4.81 ng/mL vs. 4.01 ± 3.59 ng/mL, p = 0.02, postAMH: 4.36 ± 3.31 ng/mL vs. 3.08 ± 2.60 ng/mL, p = 0.02). However, the mean ΔAMH was not significantly different between two groups. ΔAMH also did not demonstrate significant differences among the three groups; laparoscopic, Xi and SP robotic. Even in the patient groups with preAMH < 2 and diagnosed with endometriosis, the ΔAMH did not show significant differences between the laparoscopic and robotic groups. The Da Vinci robotic system is no inferior to conventional laparoscopic systems in preserving ovarian function.

Evaluation of the Gonadotoxicity of Cancer Therapies to Improve Counseling of Patients About Fertility and Fertility Preservation Measures: Protocol for a Retrospective Systematic Data Analysis and a Prospective Cohort Study

BACKGROUND

Cytotoxic treatments such as chemo- and radiotherapy and immune therapies are required in cancer diseases. These therapies have the potential to cure patients but may also have an impact on gonadal function and, therefore, on fertility. Consequently, fertility preservation treatments such as freezing of gametes and gonadal tissue might be required. However, as detailed data about the necessity to perform fertility preservation treatment are very limited, this study was designed to fill this data gap.

OBJECTIVE

Primary objective of this study is to analyze the impact of cancer therapies and chemotherapies on the ovarian reserve and sperm quality. Secondary objectives are to analyze the (1) impact of cancer therapies and chemotherapies on other fertility parameters and (2) probability of undergoing fertility preservation treatments in relation to specific cancer diseases and treatment protocols and the probability to use the frozen gametes and gonadal tissue to achieve pregnancies.

METHODS

First, previously published studies on the gonadotoxicity of chemo- and radiotherapies among patients with cancer will be systematically analyzed. Second, a prospective cohort study set up by approximately 70 centers in Germany, Switzerland, and Austria will collect the following data: ovarian function by analyzing anti-Müllerian hormone (AMH) concentrations and testicular function by analyzing sperm parameters and total testosterone immediately before and around 1 year after gonadotoxic therapies (short-term fertility). A follow-up of these fertility parameters, including history of conceptions, will be performed 5 and 10 years after gonadotoxic therapies (long-term fertility). Additionally, the proportion of patients undergoing fertility-preserving procedures, their satisfaction with these procedures, and the amount of gametes and gonadal tissue and the children achieved by using the frozen material will be analyzed. Third, the data will be merged to create the internet-based data platform FertiTOX. The platform will be structured in accordance with the ICD (International Classification of Diseases) classification of cancer diseases and will be easily be accessible using a specific App.

RESULTS

Several funding bodies have funded this study. Ten systematic reviews are in progress and the first one has been accepted for publication. All Swiss and many German and Austrian ethics committees have provided their approval for the prospective cohort study. The study registry has been set up, and a study website has been created. In total, 50 infertility centers have already been prepared for data collection, which started on December 1, 2023.

CONCLUSIONS

The study can be expected to bridge the data gap regarding the gonadotoxicity of cancer therapies to better counsel patients about their infertility risk and their need to undergo fertility preservation procedures. Initial data are expected to be uploaded on the FertiTOX platform in 2026.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05885048; https://clinicaltrials.gov/study/NCT05885048.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/51145.

Granulocyte colony-stimulating factor priming improves embryos and pregnancy rate in patients with poor ovarian reserve: a randomized controlled trial

BACKGROUND

Granulocyte colony-stimulating factor (G-CSF) administration increased ovarian preantral follicles and anti-Müllerian hormone (AMH) in animal models with diminished ovarian reserve. We investigated whether G-CSF priming before treatment with assisted reproductive technology (ART) improved embryo development and pregnancy rate while increasing serum AMH in patients with poor ovarian reserve.

METHODS

In this prospective randomized open-label controlled trial, 100 patients 20 to 42 years old with AMH below 2 ng/mL were randomized to priming or control groups (50 patients each). None had over 1 ART failure, day-3 follicle-stimulating hormone (FSH) above 30 IU/L, uterine anomalies, or a partner with azoospermia. All patients initially underwent conventional infertility treatment for 2 consecutive cycles in which the priming group but not controls received a subcutaneous G-CSF priming injection during the early luteal phase. Each group then underwent 1 cycle of in vitro fertilization/intracytoplasmic sperm injection and fresh embryo transfer (IVF/ICSI-fresh ET), followed by cryopreserved ET if needed until live birth or embryo depletion. AMH was measured before and after priming.

RESULTS

Fertilization rate, embryonic development, and implantation rate by fresh ET were significantly improved by priming. Clinical and ongoing pregnancy rates by IVF/ICSI-fresh ET were significantly higher with priming (30% and 26% in 47 ART patients; 3 delivered with conventional treatment) than in controls (12% and 10% in 49 ART patients; 1 dropped out). With priming, significantly more patients achieved cryopreservation of redundant blastocysts. The cumulative live birth rate was 32% in 50 patients with priming, significantly higher than 14% in 49 controls (relative risk, 2.8; 95% confidence interval, 1.04-7.7). Infants derived from priming had no congenital anomalies, while infant weights, birth weeks, and Apgar scores were similar between groups. Among 4 variables (age, day-3 FSH, AMH, and priming), logistic regression significantly associated age and priming with cumulative live birth. Priming significantly increased serum AMH. No adverse effects of priming were observed.

CONCLUSION

G-CSF priming improved embryonic development and pregnancy rate during ART treatment and increased AMH in patients with poor ovarian reserve. Enhanced preantral follicle growth likely was responsible.

TRIAL REGISTRATION

UMIN registration in Japan (UMIN000013956) on May 14, 2014.  https://www.umin.ac.jp/ctr/index.htm .

Assessment and quantification of ovarian reserve on the basis of machine learning models

Background

Early detection of ovarian aging is of huge importance, although no ideal marker or acknowledged evaluation system exists. The purpose of this study was to develop a better prediction model to assess and quantify ovarian reserve using machine learning methods.

Methods

This is a multicenter, nationwide population-based study including a total of 1,020 healthy women. For these healthy women, their ovarian reserve was quantified in the form of ovarian age, which was assumed equal to their chronological age, and least absolute shrinkage and selection operator (LASSO) regression was used to select features to construct models. Seven machine learning methods, namely artificial neural network (ANN), support vector machine (SVM), generalized linear model (GLM), K-nearest neighbors regression (KNN), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM) were applied to construct prediction models separately. Pearson's correlation coefficient (PCC), mean absolute error (MAE), and mean squared error (MSE) were used to compare the efficiency and stability of these models.

Results

Anti-Müllerian hormone (AMH) and antral follicle count (AFC) were detected to have the highest absolute PCC values of 0.45 and 0.43 with age and held similar age distribution curves. The LightGBM model was thought to be the most suitable model for ovarian age after ranking analysis, combining PCC, MAE, and MSE values. The LightGBM model obtained PCC values of 0.82, 0.56, and 0.70 for the training set, the test set, and the entire dataset, respectively. The LightGBM method still held the lowest MAE and cross-validated MSE values. Further, in two different age groups (20-35 and >35 years), the LightGBM model also obtained the lowest MAE value of 2.88 for women between the ages of 20 and 35 years and the second lowest MAE value of 5.12 for women over the age of 35 years.

Conclusion

Machine learning methods combining multi-features were reliable in assessing and quantifying ovarian reserve, and the LightGBM method turned out to be the approach with the best result, especially in the child-bearing age group of 20 to 35 years.

Correlation of serum anti-Mullerian hormone with hormonal and environmental parameters in Brazilian climacteric women

This study aimed to identify the correlation among anti-Mullerian Hormone serum levels and 25-OH-D, obesity, metabolic syndrome (MetS), and sexual hormones in climacteric women classified according to stages of reproductive aging (SRA). A cross-sectional study was conducted with a total of 177 Brazilian climacteric women between 40 and 64 years old. Concentrations of AMH were measured using the Access 2 Immunoassay System. A multiple linear regression analysis was used to identify the relationship among AMH, 25-OH-D, obesity, MetS, sexual hormones, sociodemographic and lifestyle factors. AMH levels decreased with increased age (B = - 0.059; p < 0.001), and reproductive aging (B = - 0.483; p < 0.001). Obesity indicators, lifestyle characters, 25-OH-D levels and MetS were not significantly associated with AMH serum concentration. Negative correlation was found for FSH (B = - 0.009; p < 0.001) and LH (B = - 0.006; p = 0.004); positive correlation for E2 (B = 0.001; p = 0.011), DHEAS (B = 0.003; p < 0.001) and SHBG (B = 0.003; p = 0.005). In the model adjusted for SRA, FSH levels (p < 0.001) and DHEAS (p = 0.014) were associated with AMH. Although, with the adjustment for age, only FSH remained with a significant association (p = 0.001). Of the other analytes, none was associated with AMH, regardless of the model fit. Our findings confirm that serum AMH level decreased with age and FSH levels, but there is no correlation between AMH with obesity, 25-OH-D, MetS or other sexual hormones in Brazilian climacteric women.

Impact of age and menopausal stage on serum anti-Müllerian hormone levels in middle-aged women

OBJECTIVE

This study aimed to evaluate the association between age, menopausal stage and serum anti-Müllerian hormone (AMH) levels in middle-aged women.

METHODS

In this cross-sectional study, the serum AMH levels of 288 healthy women aged 40-55 years (divided into age groups: 40-44, 45-49 and 50-55 years) were evaluated. Stages of Reproductive Aging Workshop + 10 criteria were used to categorize these women into menopausal stages: late reproductive, menopausal transition and early postmenopausal stages. The impact of age, menopausal stage and hormone replacement therapy on serum AMH levels was analyzed using multi-factor analysis of variance. Effects of body mass index, smoking status and oral contraceptive use were simultaneously considered.

RESULTS

The median AMH level was 0.140 ng/ml. Log-AMH levels varied according to age group (variance = 20.113, F = 88.538, p < 0.001) and menopausal stage (variance = 5.543, F = 24.501, p < 0.001). An exponential model defined as AMH = 227,421.757 × e^{(-0.301 × age)} was fit to describe the decline in AMH level with age. The 5th-95th percentiles of the AMH levels ranged from less than 0.020 to 3.150, less than 0.020 to 1.944 and less than 0.020 to 0.030 ng/ml in the aforementioned menopausal stages, respectively.

CONCLUSION

Age and menopausal stage were associated with AMH levels; age had a greater impact on AMH than menopausal stage in middle-aged women.

Age-specific definition of low anti-Mullerian hormone and associated pregnancy outcome in women undergoing IVF treatment

BACKGROUND

The age-specific definition of low anti-müllerian hormone (AMH) is lacking. This study aims to define an age-specific reference for low AMH and to evaluate the associated outcome in women undergoing IVF treatment.

METHODS

A retrospective study was performed in women receiving IVF treatment at the Shenzhen maternity and child healthcare hospital between September 2016 and September 2018. We excluded cases without AMH concentration. Polynomial least-squares regression was used to estimate the age-specific reference ranges for AMH after log-transformed. The age-specific 10th centile was defined as the threshold of low AMH concentration.

RESULTS

A total of 909 patients were analyzed in this study. The age-specific reference ranges for AMH were established using linear regression model and resulted in an age-specific equation for mean: mean of LnAMH = (- 0.085 × age) + 3.722 (ng/ml, in unit). Women with AMH level higher than 10th centile had favorable outcomes in ovarian stimulation compared to those with low AMH level. In patients younger than 35 years, the rates of clinical pregnancy per transfer and ongoing pregnancy per transfer in the subgroup with AMH level higher than 10th centile were significantly higher than that in the subgroup of low AMH level, 57% versus 31.3% p = 0.003 and 51.9% versus 21.9% p = 0.001, respectively.

CONCLUSION

Women with AMH lower than age-specific 10th centile had significantly unfavorable outcomes after IVF treatment. The age-specific 10th centile of AMH concentration may be useful to predict the outcome of IVF treatment.

Ethnic and Sociocultural Differences in Ovarian Reserve: Age-Specific Anti-Müllerian Hormone Values and Antral Follicle Count for Women of the Arabian Peninsula

BACKGROUND

Anti-Müllerian hormone (AMH) and antral follicle count (AFC) age-specific reference values form the basis of infertility treatments, yet they were based upon studies performed primarily on Caucasian populations. However, they may vary across different age-matched ethnic populations. This study aimed to describe age-specific serum AMH and AFC for women native to the Arabian Peninsula.

METHODS

A retrospective large-scale study was performed including 2,495 women, aged 19 to 50 years, native to the Arabian Peninsula. AMH and AFC were measured as part of their fertility assessment at tertiary-care fertility centres. Age-specific values and nomograms were calculated.

RESULTS

2,495 women were evaluated. Mean, standard deviation and median values were calculated for AMH and AFC by 1-year and 5-years intervals. Median age was 34.81 years, median AMH was 1.76ng/ml and median AFC was 11. From the total group, 40.60% presented with AMH levels below 1.3ng/mL. For women <45 years old, the decrease in AFC was between -0.6/-0.8 per year. Up to 36 years old, the decrease of AMH was 0.1ng/ml. However, from 36 to 40 years old, an accelerated decline of 0.23ng/ml yearly was noted. In keeping with local customs, 71.23% of women wore the hijab and 25.76% the niqab. AMH and AFC were significantly lower for niqab group compared with hijab group (p=0.02 and p=0.04, respectively).

CONCLUSION

This is to-date the largest data set on age-specific AMH and AFC values in women from the Arabian Peninsula aiming to increase clinical awareness of the ovarian reserve in this population.

Anti-mullerian hormone levels in indian women seeking infertility treatment: Are Indian women facing early ovarian senescence?

Background:

Antimullerian hormone (AMH) is a key marker of ovarian reserve and predictor of response to fertility treatment.

Aim:

To understand the prevalence of low ovarian reserve in Indian women seeking infertility treatment, compare their AMH with age-matched fertile Indian controls and understand ethnic differences with Caucasian women.

Setting and Design:

Retrospective observational study done as collaboration between our in vitro fertilization centre and a laboratory with Pan-India presence.

Materials and Methods:

Women aged 20–44 years were selected as Group A (seeking infertility treatment n = 54,473), Group B (conceived naturally in the past; n = 283) and Group C (data of Caucasian women; n = 718). Serum AMH levels were measured and descriptive analysis done.

Statistical Analysis:

Descriptive statistics and Chi-square test.

Results:

In Group A, 28.7%, 48.7% and 70.6% of women aged <30 years, 30–34 years and 35–39 years had serum AMH levels ≤2 ng/mL and the proportions were higher than Group B. The rate at which median AMH decreased was 1.1–2 times faster in Group B as compared to Group C. The decrease in median AMH across age groups in Group A was similar to Group B.

Conclusions:

Indian women in their late twenties and early thirties visiting fertility centers showed a worrisome trend of low AMH. Our study can be used as a reference for those women considering postponing pregnancy. It may be time to look at intangible cultural factors linked to social habits, ethnicity, diet, genetic predispositions, and environmental factors like endocrine disrupting chemicals contributing to premature ovarian senescence.