Anti-müllerian Hormone for the Prediction of Ovarian Response in Progestin-Primed Ovarian Stimulation Protocol for IVF

Ovarian response to controlled stimulation and its predictors in a limited-resource setting

BACKGROUND

Infertility remains a serious health concern for Ethiopian women. Most of its treatment approaches entail controlled ovarian stimulation, the responses of which vary. However, there are no data on ovarian response to stimulation or its predictors in our situation. Thus, the current study aimed to assess the ovarian response to controlled stimulation and identify predictors.

METHODS

A retrospective follow-up study was undertaken from April 1, 2021, to March 31, 2022, among patients who had first-cycle controlled ovarian stimulation at St.Paul's Hospital Fertility Center in Addis Ababa, Ethiopia. Clinical data were extracted using a checklist. SPSS-26 for data analysis and Epidata-4.2 for data entry were employed. The binary logistic regression model was fitted. A p-value < 0.05 indicated a significant association. The ROC curve was used to determine cutoff values and identify accurate predictors.

RESULTS

A total of 412 study participants were included in the final analysis. The patients had a mean age of 32.3 ± 5.1 years (range: 20 - 4). The good ovarian response rate was 67% (95% CI: 62.2-71.5). An anti-Mullerian hormone (AMH) concentration < 1.2ng/ml (AOR = 0.19, 95% CI (0.06-0.57)), an antral follicle count (AFC) < 5 (AOR = 0.16, 95% CI (0.05-0.56)), and an induction length < 10 days (AOR = 0.23, 95% CI (0.06-0.93)) were significantly associated with ovarian response. The prediction accuracies for the AFC and AMH concentrations were 0.844 and 0.719, respectively. The optimal cutoff point for prediction was 5.5 AFC, which had a sensitivity of 77.2% and a specificity of 72.8%. However, its positive and negative predictive values were 85.2% and 61.1%, respectively. For AMH, the optimal cutoff value was 0.71ng/mL, with a corresponding sensitivity and specificity of 65.2% and 66%. At this value, the positive and negative predictive values were 63.8% and 67.3%, respectively.

CONCLUSION

Only two-thirds of our patients achieved a good ovarian response. Induction duration, AMH concentration, and AFC were found to be predictors, with the AFC being the strongest predictor. Therefore, the AFC should be performed on all of our patients, and the AMH is selectively employed. Future research must verify the best cutoff points and investigate additional factors affecting ovarian response.

Predicting ovarian responses to the controlled ovarian hyperstimulation in elderly infertile women using clinical measurements and random forest regression

During the past decades, the number of elderly infertile women is obviously increasing in China, and more and more of them are likely to seek medical assisted reproductive technologies. As the in vitro fertilization/embryo transfer (IVF/ET) treatment presents special medical and psychological challenges to elderly infertile women, it is extremely helpful to perform the clinical evaluation and outcome prediction regarding IVF/ET outcomes. In this study, we retrospectively collected 12 clinical measurements in prior to the oocyte recovery for 689 elderly infertile patients (≥35 years of old), and used for predicting ovarian responses to the controlled ovarian hyperstimulation based on random forest regression models. Using different predictor sets and 10-fold cross validation approach, the Mean Square Error (±standard deviation) of prediction models varied from 7.56 ± 0.31 to 13.90 ± 0.37 in the training datasets, and the correlation coefficients between observed and predicted values ranged from 0.86 ± 0.02 to 0.72 ± 0.05 in the testing datasets. Among all clinical measurements involved in this study, the preovulatory follicle count (PFC), antral follicle count (AFC), and anti-Müllerian hormone (AMH) were revealed to be the most important features in prediction models. In conclusion, we successfully established the machine learning approach that could help the elderly infertile patients to better understand the most possible outcomes in subjecting to the controlled ovarian hyperstimulation.

Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis

BACKGROUND

Increasingly studies reported that the Anti-Müllerian hormone (AMH) seems to be a promising and reliable marker of functional ovarian follicle reserve, even better than the AFC test. Our study aimed to conduct a meta-analysis to assess the predictive value of AMH and AFC for predicting poor or high response in IVF treatment. An electronic search was conducted, and the following databases were used: PubMed, EMBASE, and the Cochrane Library (up to 7 May 2022). The bivariate regression model was used to calculate the pooled sensitivity, specificity, and area under the receiver operator characteristic (ROC) curve. Subgroup analyses and meta-regression also were used in the presented study. Overall performance was assessed by estimating pooled ROC curves between AMH and AFC.

RESULTS

Forty-two studies were eligible for this meta-analysis. Comparison of the summary estimates for the prediction of poor or high response showed significant difference in performance for AMH compared with AFC [poor (sensitivity: 0.80 vs 0.74, P < 0.050; specificity: 0.81 vs 0.85, P < 0.001); high (sensitivity: 0.81 vs 0.87, P < 0.001)]. However, there were no significant differences between the ROC curves of AMH and AFC for predicting high (P = 0.835) or poor response (P = 0.567). The cut-off value was a significant source of heterogeneity in the present study.

CONCLUSIONS

The present meta-analysis demonstrated that both AMH and AFC have a good predictive ability to the prediction of poor or high responses in IVF treatment.

Prediction of ovarian response using the automated Elecsys anti-Müllerian hormone assay in gonadotrophin-releasing hormone antagonist cycles

RESEARCH QUESTION

What is the capability of serum anti-Müllerian hormone (AMH) measured using the automated Elecsys® AMH immunoassay to (Roche Diagnostics International Ltd) determine ovarian response after fertility treatment?

DESIGN

Single-centre, retrospective, observational, cohort study including women undergoing ovarian stimulation. Serum AMH concentrations were determined using the Elecsys AMH immunoassay based on one blood sample drawn 6 months or less before treatment. Stimulation was conducted in accordance with a gonadotrophin-releasing hormone (GnRH) antagonist protocol. Patients were divided into four ovarian response categories based on their oocyte yield: low (0-3), suboptimal (4-9), optimal (10-15) and high (>15). Areas under the curve were calculated for each ovarian response group.

RESULTS

Overall, 1248 patients were enrolled. The AMH concentration had a strong positive correlation with oocyte yield (Spearman's rho = 0.74, P < 0.001). Areas under the curve (95% CI) for AMH predicting ovarian response were 0.85 (0.83 to 0.88) for low and 0.89 (0.87 to 0.91) for high response. Optimal serum AMH cut-offs for predicting a low and high response using the Elecsys AMH immunoassay were 6.4 pmol/l (0.89 ng/ml) and 14.2 pmol/l (1.99 ng/ml), respectively. Multivariable regression analysis showed that 47% (R2 = 0.470) of variation in ovarian response could be attributed to AMH alone, increasing to 50.9% (R2 = 0.509) with the addition of age, body weight, and total dose of gonadotrophin.

CONCLUSION

Ovarian response and oocyte yield after stimulation in a GnRH antagonist cycle can be predicted with high accuracy using a single determination of serum AMH before ovarian stimulation.

Quercetin alleviates cyclophosphamide-induced premature ovarian insufficiency in mice by reducing mitochondrial oxidative stress and pyroptosis in granulosa cells

BACKGROUND

Exposure to cyclophosphamide (CTX) induces premature ovarian insufficiency (POI). Quercetin is a natural flavonoid that exhibits anti-inflammatory and antioxidant properties, and its antioxidant activity is correlated with POI. However, the mechanism underlying its protective role in CTX-induced ovarian dysfunction is unclear. This study aimed to explore whether quercetin can protect ovarian reserves by activating mitochondrial biogenesis and inhibiting pyroptosis.

METHODS

Thirty-six female C57BL/6 mice were randomly subdivided into six groups. Except for the control group, all groups were injected with 90 mg/kg CTX to establish a POI model and further treated with coenzyme 10 or various doses of quercetin. The mice were sacrificed 48 h after 10 IU pregnant mare serum gonadotropin was injected four weeks after treatments. We used enzyme-linked immunosorbent assays to detect serum hormone expression and light and transmission electron microscopy to assess ovarian tissue morphology and mitochondria. Additionally, we tested oxidant and antioxidant levels in ovarian tissues and mitochondrial function in granulosa cells (GCs). The expression of mitochondrial biogenesis and pyroptosis-related proteins and mRNA was analyzed using western blotting and RT-qPCR.

RESULTS

Quercetin elevated serum anti-Müllerian hormone, estradiol, and progesterone levels, decreased serum follicle-stimulating hormone and luteinizing hormone levels, and alleviated ovarian pathology. It reduced the mitochondrial DNA content and mitochondrial membrane potential. Furthermore, it upregulated ATP levels and the mRNA and protein expression of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α), mitochondrial transcription factor A, and superoxide dismutase 2. In addition, it suppressed NOD-like receptor pyrin domain containing 3, caspase-1, interleukin-1β, and gasdermin D levels in the GCs of POI mice.

CONCLUSIONS

Quercetin protected the ovarian reserve from CTX-induced ovarian damage by reversing mitochondrial dysfunction and activating mitochondrial biogenesis via the PGC1-α pathway. Moreover, quercetin may improve ovarian functions by downregulating pyroptosis in the CTX-induced POI model. Thus, quercetin can be considered a potential agent for treating POI.

Impact of inactivated SARS-CoV-2 vaccination on embryo ploidy: a retrospective cohort study of 133 PGT-A cycles in China

Background

Unsubstantiated concerns have been raised on the potential correlation between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination and infertility, leading to vaccine hesitancy in reproductive-aged population. Herein, we aim to evaluate the impact of inactivated SARS-CoV-2 vaccination on embryo ploidy, which is a critical indicator for embryo quality and pregnancy chance.

Methods

This was a retrospective cohort study of 133 patients who underwent preimplantation genetic testing for aneuploidy (PGT-A) cycles with next-generation sequencing technology from June 1st 2021 to March 17th 2022 at a tertiary-care medical center in China. Women fully vaccinated with two doses of Sinopharm or Sinovac inactivated vaccines (n = 66) were compared with unvaccinated women (n = 67). The primary outcome was the euploidy rate per cycle. Multivariate linear and logistic regression analyses were performed to adjust for potential confounders.

Results

The euploidy rate was similar between vaccinated and unvaccinated groups (23.2 ± 24.6% vs. 22.6 ± 25.9%, P = 0.768), with an adjusted β of 0.01 (95% confidence interval [CI]: -0.08–0.10). After frozen-thawed single euploid blastocyst transfer, the two groups were also comparable in clinical pregnancy rate (75.0% vs. 60.0%, P = 0.289), with an adjusted odds ratio of 6.21 (95% CI: 0.76–50.88). No significant associations were observed between vaccination and cycle characteristics or other laboratory and pregnancy outcomes.

Conclusions

Inactivated SARS-CoV-2 vaccination had no detrimental impact on embryo ploidy during in vitro fertilization treatment. Our finding provides further reassurance for vaccinated women who are planning to conceive. Future prospective cohort studies with larger datasets and longer follow-up are needed to confirm the conclusion.

Anti-Müllerian hormone (AMH) treatment enhances oocyte quality, embryonic development and live birth rate

Anti-Müllerian hormone (AMH) produced by the granulosa cells of growing follicles is critical for folliculogenesis and is clinically used as a diagnostic and/or prognostic marker of female fertility. Previous studies report that AMH-pretreatment in mice creates a pool of quiescent follicles that are released following superovulation, resulting in increased number of ovulated oocytes. However, the quality and developmental competency of oocytes derived from AMH-induced accumulated follicles as well as the effect of AMH treatment on live birth are not known. This study reports that AMH priming positively affects oocyte maturation and early embryonic development culminating in higher number of live births. Our results show that AMH treatment results in good quality oocytes with higher developmental competence that enhances embryonic development resulting in blastocysts with greater gene expression. Transcriptome analysis of oocytes from AMH-primed compared to control mice reveal that AMH upregulates a large number of genes and pathways associated with oocyte quality and embryonic development. Mitochondrial function is the most affected pathway by AMH priming, that is supported by higher number of active mitochondria, mitochondrial DNA content and ATP levels in oocytes and embryos isolated from AMH-primed compared to control animals. These studies for the first time provide an insight into the overall impact of AMH on female fertility and highlight critical knowledge necessary to develop AMH as a therapeutic option to improve female fertility.

Association of antimüllerian hormone with polycystic ovarian syndrome phenotypes and pregnancy outcomes of in vitro fertilization cycles with fresh embryo transfer

Objective

The current study was undertaken to investigate the relationship between antimüllerian hormone (AMH) and polycystic ovarian syndrome (PCOS) phenotypes and to determine whether AMH is associated with pregnancy outcomes in infertile women undergoing their first in vitro fertilization (IVF) treatment.

Methods

We performed a retrospective cohort study of 2973 infertile women, including 418 women with PCOS undergoing their first IVF treatment at a private fertility center from January 2014 to March 2018. Women were stratified into three groups using cutoffs defined by the 25^th and 75^th percentiles of the serum AMH level: 746 women had AMH ≤ 2.25 ng/mL; 1486 women had AMH between 2.25 to 5.71 ng/mL; and 741 women had AMH > 5.71 ng/mL. Endocrine characteristics, PCOS phenotypes, stimulation outcomes, pregnancy outcomes were compared among these groups. When there were any statistical differences (P < 0.05) among the three groups, Bonferroni test was performed as post-hoc tests to determine where the statistical differences existed. To assess the relationships between AMH and pregnancy outcomes in total patients and PCOS patients, logistic regression analysis, adjusted for potential confounding covariates, were performed.

Results

Women with high AMH had greater prevalence of hyperandrogenism (HA), polycystic ovarian morphology (PCOM) and amenorrhea than women with low or average AMH. The clinical pregnancy rate were significantly higher in the high-AMH group compared with low- and average-AMH groups (69.9% vs. 58.8% and 64.7% respectively; P < 0.001). The live birth rate was significantly lower in women with AMH ≤ 2.25 ng/mL compared with average- and high-AMH groups (47.6% vs. 55.2 and 59.5% respectively; P < 0.001). However, after controlling for maternal age, oocyte yield, as well as other confounders, AMH was no longer associated with a higher live birth rate (aOR 1.037, 95% CI 0.853–1.261, P = 0.717; aOR 1.099, 95% CI 0.858–1.408, P = 0.455, respectively) and clinical pregnancy rate (aOR 1.064, 95% CI 0.834–1.359, P = 0.617; aOR 1.181, 95% CI 0.875–1.595, P = 0.276, respectively). Moreover, pregnancy outcomes did not differ in PCOS women according to AMH quartiles.

Conclusion

Increased AMH levels associated with PCOS severity and greater ovarian stimulation. However, AMH was not associated with clinical pregnancy rate and live birth rate after controlling for other confounders in women undergoing IVF. Thus, AMH should not be used to alter clinical decisions and exclude patients based on a low or even undetectable AMH value.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04518-0.

Development and Validation of Prediction Model for High Ovarian Response in In Vitro Fertilization-Embryo Transfer: A Longitudinal Study

Objective

To develop and validate a prediction model for high ovarian response in in vitro fertilization-embryo transfer (IVF-ET) cycles.

Methods

Totally, 480 eligible outpatients with infertility who underwent IVF-ET were selected and randomly divided into the training set for developing the prediction model and the testing set for validating the model. Univariate and multivariate logistic regressions were carried out to explore the predictive factors of high ovarian response, and then, the prediction model was constructed. Nomogram was plotted for visualizing the model. Area under the receiver-operating characteristic (ROC) curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the performance of the prediction model.

Results

Antral follicle count (AFC), anti-Müllerian hormone (AMH) at menstrual cycle day 3 (MC3), and progesterone (P) level on human chorionic gonadotropin (HCG) day were identified as the independent predictors of high ovarian response. The value of area under the curve (AUC) for our multivariate model reached 0.958 (95% CI: 0.936-0.981) with the sensitivity of 0.916 (95% CI: 0.863-0.953) and the specificity of 0.911 (95% CI: 0.858-0.949), suggesting the good discrimination of the prediction model. The Hosmer-Lemeshow test and the calibration curve both suggested model's good calibration.

Conclusion

The developed prediction model had good discrimination and accuracy via internal validation, which could help clinicians efficiently identify patients with high ovarian response, thereby improving the pregnancy rates and clinical outcomes in IVF-ET cycles. However, the conclusion needs to be confirmed by more related studies.

A comprehensive evaluation of progestin-primed ovarian stimulation protocol in patients with or without PCOS undergoing in vitro fertilization

Progestin-primed ovarian stimulation (PPOS) regimen was established for assisted reproduction. However, its feasibility and outcomes in polycystic ovary syndrome (PCOS) patients need further evaluation. The outcomes of infertile patients with PCOS (study group) and normal ovaries (control group with unexplained infertility and tubal factor infertility) who underwent PPOS and IVF/ICSI protocol were retrospectively studied. The baseline information, primary, and secondary outcomes of patients were collected. The dynamic changes of hormones were closely monitored. 198 PCOS patients and 374 controls were included in this study. After controlled ovarian hyperstimulation (COH), 15 oocytes were retrieved from PCOS patients on average, which was more than those from the controls (p < 0.001). The oocytes and embryos obtained from the PCOS patients exhibited better developmental potential as the number of fertilized oocytes, cleaved embryos, top-quality embryos, viable embryos, cryopreserved embryos, the rate of fertilization, and viable embryo per oocyte retrieved in PCOS patients were significantly higher than those in the controls (all p < 0.001). No significant difference between the two groups was identified regarding the primary outcome, ongoing pregnancy, and other secondary outcomes. No moderate to severe ovarian hyperstimulation syndrome (OHSS) was diagnosed in either group. With the proposed PPOS protocol, the quantity, quality, developmental potential of oocytes, and embryos obtained from PCOS patients were superior to those from controls. The protocol was efficient and safe in terms of pregnancy, obstetric, and perinatal outcomes. OHSS was effectively mitigated in the patients, with or without PCOS, who underwent COH.

Characterization of micro-RNA in women with different ovarian reserve

Women undergoing infertility treatment are routinely subjected to one or more tests of ovarian reserve. Therefore, an adequate assessment of the ovarian reserve is necessary for the treatment. In this study, we aimed to characterize the potential role of microRNAs (miRNAs) as biomarkers for women with different ovarian reserves. A total of 159 women were recruited in the study and classified according to their anti-Müllerian hormone (AMH) level into three groups: (1) low ovarian reserve (LAMH, n = 39), (2) normal ovarian reserve (NAMH, n = 80), and (3) high ovarian reserve (HAMH, n = 40). SurePrint Human miRNA array screening and reverse transcription-quantitative PCR (RT-qPCR) were respectively employed to screen and validate the miRNA abundance level in the three tested groups. Compared with NAMH, the abundance level of 34 and 98 miRNAs was found to be significantly altered in LAMH and HAMH, respectively. The abundance level of miRNAs was further validated by RT-qPCR in both, the screening samples as well as in an independent set of validation samples. The abundance levels of the validated miRNAs were significantly correlated with the AMH level. The best AUC value for the prediction of the increase and decrease in the AMH level was obtained for the miR-100-5p and miR-21-5p, respectively. The level of miRNAs abundance correlates with the level of AMH, which may serve as a tool for identifying women with a different ovarian reserve and may help to lay the ground for the development of novel diagnostic approaches.

Predictive factors of ovarian response to GnRH antagonist stimulation protocol: AMH and age are potential candidates

Background

Prediction of ovarian response prior to the ovarian stimulation cycle is useful in determining the optimal starting dose of recombinant follicle-stimulating hormone (r-FSH). This study was designed to (I) evaluate which of the following parameters (age, AMH, and FSH) can be used as a predictor of ovarian response to GnRH antagonist stimulation protocol, (II) determine the cutoff value of AMH and age for predicting poor and high ovarian response, and (III) investigate the relationship between age, AMH level, and other clinical parameters. It is a retrospective study. A total of 318 women with a mean age of 28.2 ± 5.9 years old were included in this study. Hormone levels (FSH, LH, PRL, E2, and AMH) and the number of collected oocytes were determined. Based on the number of retrieved oocytes, the participants were divided into three groups: poor response (oocytes < 4, n= 51), normal response (oocytes 4–14, n= 192), and high response (oocytes > 14, n= 75).

Results

A significant increase has been found in AMH level and number of retrieved oocytes and mature oocytes from low to normal and high ovarian response group (P < 0.001). Also, the age in the poor ovarian response group was significantly greater than normal and high ovarian response groups (P < 0.001). A significant positive correlation has been found between the number of retrieved oocytes and mature oocytes and level of AMH (P < 0.001). The receiver operating characteristic (ROC) curves showed that both AMH and age had the highest accuracy in the prediction of poor ovarian response with a cutoff value < 1.45 and > 31.5 years, respectively. Additionally, the ROC analysis has shown that the AMH had the highest accuracy, followed by age in the prediction of high ovarian response with a cutoff value > 3.55 and < 27.5 years, respectively.

Conclusions

This study demonstrates that AMH level and women’s age may be used as potential predictors of ovarian response to GnRH antagonist stimulation protocol.

Identification of Novel Mutations in CDC20: Expanding the Mutational Spectrum for Female Infertility

Oocyte maturation and fertilization are fundamental processes for successful human reproduction, and abnormalities in these processes will cause infertility. Recently, we identified biallelic mutations in CDC20 that are responsible for human oocyte maturation arrest, fertilization failure, and early embryonic development arrest. In this study, we screened for further CDC20 mutations in a new cohort of patients with abnormalities in oocyte maturation, fertilization, and early embryonic development. Through whole-exome sequencing, we identified the four novel mutations c.887G > A (p. Arg296Gln), c.964C > T (p.Arg322^∗), c.1155G > C (p.Trp385Cys), and c.330 + 1G > A (p. Glu111Ilefs^∗36) and one previously reported mutation c.965G > A (p.Arg322Gln) in CDC20 in four infertile individuals from three independent families. The patients had different phenotypes of oocyte maturation arrest and fertilization failure resulting from the different mutations. This study confirms our previous research and expands the spectrum of known mutations in CDC20, providing new evidence supporting the function of CDC20 in the genetic etiology of female infertility characterized by oocyte maturation arrest and fertilization failure.

The Value of Anti-Müllerian Hormone in the Prediction of Spontaneous Pregnancy: A Systematic Review and Meta-Analysis

OBJECTIVE

To determine whether serum anti-Müllerian hormone (AMH) level is a predictor of clinical pregnancy in women trying to achieve a natural conception.

METHODS

The PubMed, Embase, and Cochrane Library databases were searched for articles published until August 2020. Studies that met the inclusion and exclusion criteria were included in the meta-analysis; no language limitations were imposed. Quality was appraised using the Quality Assessment of Diagnostic Accuracy Studies-2 checklist. Heterogeneity due to the threshold effect was identified; thus, we plotted a summary receiver operating characteristic curve and calculated its area under the summary receiver operating characteristic curve (AUC) and Cochran's Q index to assess whether AMH level is a predictor of spontaneous pregnancy. Publication bias and sensitivity were also assessed.

RESULTS

Eleven studies (4,388 women) were ultimately included in this meta-analysis. The AUC and Cochran's Q indices were 0.5932 and 0.5702, respectively. For women younger than 35 years, the AUC was 0.6355 and the Q index was 0.6025. For those older than 35 years, the AUC was 0.5536 and the Q index was 0.5403. Subgroup analyses by study type and population characteristics showed results similar to the overall outcome. No publication bias was identified, and the sensitivity analysis confirmed the robustness of the final result.

CONCLUSIONS

Serum AMH levels have poor predictive value for natural pregnancy. The predictive value of AMH was poor in the younger and older subgroups. Our findings suggest that low serum AMH levels are not associated with reduced fertility.

INTRODUCTION

This study investigated the predictive value of anti-Müllerian hormone (AMH) level for natural pregnancy. Other than age, few factors can predict the chances of natural fertility. AMH is an established biomarker of ovarian reserve that is widely used to predict oocyte yield in cases of in vitro fertilization (IVF) and menopause. In clinical practice, the applications of AMH are increasing. However, its predictive value for natural conception remains controversial. In this study, since AMH is closely related with ovarian reserve, we evaluated whether it has predictive value for natural pregnancy. Our findings will fine-tune the clinical application of AMH in pre-pregnancy counseling. The topic should be of wide interest to investigators in the reproductive endocrinology and gynecology fields.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO 2020 CRD42020216265, Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020216265.

Progestin-Primed Ovarian Stimulation with Dydrogesterone versus Medroxyprogesterone Acetate in Women with Polycystic Ovarian Syndrome for in vitro Fertilization: A Retrospective Cohort Study

Purpose

Dydrogesterone (DYG) is an alternative progestin in progestin-primed ovarian stimulation (PPOS) protocol with weaker pituitary suppression than medroxyprogesterone acetate (MPA) in normal ovulatory women. However, the endocrinological characteristics, oocyte retrieval and pregnancy outcomes of DYG application in polycystic ovarian syndrome (PCOS) patients undergoing in vitro fertilization (IVF) remain unclear.

Patients and methods

This retrospective cohort study included 420 PCOS patients who underwent controlled ovarian stimulation with human menopausal gonadotropin (hMG) and DYG (n=105) or MPA (n=315) from January 2014 to December 2017. Baseline characteristics of the two groups were balanced with propensity score matching using the nearest-neighbor random matching algorithm in a ratio of 1:3. The primary outcome measure was the number of oocytes retrieved. Other main outcome measures included the number of viable embryos, incidence of premature luteinizing hormone (LH) surge and live birth rate per frozen-thawed embryo transfer (FET) cycle.

Results

A similar number of oocytes was retrieved in the two protocols (16.1±6.5 vs 15.1±10.0, P=0.342). Patients in both groups achieved consistent LH suppression with no premature LH surge detected. In the DYG + hMG group, the mean LH levels were significantly higher than the MPA + hMG group on cycle day 9–11 and trigger day (all P<0.001), and the dose of hMG was significantly lower (1710.7±431.6 vs 1891.3±402.2 IU, P<0.001). No significant between-group differences were found in the number of viable embryos (5.3±3.1 vs 5.0±4.1, P=0.139) and live birth rate per FET cycle (43.5% vs 47.7%, P=0.383). None of the participants experienced moderate-to-severe ovarian hyperstimulation syndrome in either group.

Conclusion

Our results showed that the application of DYG in PPOS protocol could achieve comparable oocyte retrieval and pregnancy outcomes to MPA, but significantly reduce the consumption of gonadotropins in PCOS women for IVF treatment.