Anti-Müllerian hormone versus antral follicle count for defining the starting dose of FSH

Comparison of stimulation protocols for dose determination of gonadotropins: A systematic review and Bayesian network meta-analysis based on randomized controlled trials

BACKGROUND

To date, evidence regarding the effectiveness and safety of individualized controlled ovarian stimulation (COS) compared with standard dose COS has been inadequate.

OBJECTIVES

To evaluate the updated evidence from published randomized controlled trials (RCTs) about the efficacy and safety of individualized COS with different ovarian reserve test biomarkers or clinical experience versus standard dose COS.

SEARCH STRATEGY

Terms and descriptors related to COS, individualized or standard, and RCT were combined to search, and only English language studies were included. Conference abstracts and comments were excluded.

SELECTION CRITERIA

RCTs with comparison between different individualized COS strategies and standard starting dose strategy were included.

DATA COLLECTION AND ANALYSIS

Two reviews independently assessed the eligibility of retrieved citations in a predefined standardized manner. Relative risk (RRs) and the weighted mean difference (WMD) with 95% confidence intervals (CIs) were pooled using a random-effects model on R software version 4.2.2.

MAIN RESULTS

Compared with the standard dose COS strategy in pairwise meta-analysis, the individualized COS strategy was associated with a notable lower risk of ovarian hyperstimulation syndrome (OHSS; 174/2384 [7.30%] vs 114/2412 [4.73%], RR 0.66, 95% CI: 0.47-0.93, I2 = 46%), a significantly lower risk of hyperresponse to stimulation (hyperresponse; 476/2402 [19.82%] vs 331/2437 [13.58%], RR 0.71, 95% CI: 0.57-0.90, I2 = 61%), and a slightly longer ovarian stimulation days (duration of stimulation; WMD 0.20, 95% CI: 0.01-0.40, I2 = 66%). Bayesian network meta-analysis also found that biomarker-tailored strategy had a significantly lower risk of OHSS than standard dose strategy (OHSS; RR 0.63, 95% CI: 0.41-0.97, I2 = 47.5%).

CONCLUSION

Compared with standard dose COS strategy, individualized COS strategy could significantly reduce the risks of OHSS and hyperresponse to stimulation, but the duration of stimulation was slightly longer.

TRIAL REGISTRATION

PROSPERO: CRD42023358439.

Individualised gonadotropin dose selection using markers of ovarian reserve for women undergoing in vitro fertilisation plus intracytoplasmic sperm injection (IVF/ICSI)

BACKGROUND

During a stimulated cycle of in vitro fertilisation or intracytoplasmic sperm injection (IVF/ICSI), women receive daily doses of gonadotropin follicle-stimulating hormone (FSH) to induce multifollicular development in the ovaries. A normal response to stimulation (e.g. retrieval of 5 to 15 oocytes) is considered desirable. Generally, the number of eggs retrieved is associated with the dose of FSH. Both hyper-response and poor response are associated with an increased chance of cycle cancellation. In hyper-response, this is due to increased risk of ovarian hyperstimulation syndrome (OHSS), while poor response cycles are cancelled because the quantity and quality of oocytes is expected to be low. Clinicians often individualise the FSH dose using patient characteristics predictive of ovarian response. Traditionally, this meant women's age, but increasingly, clinicians use various ovarian reserve tests (ORTs). These include basal FSH (bFSH), antral follicle count (AFC), and anti-Müllerian hormone (AMH). It is unclear whether individualising FSH dose improves clinical outcomes. This review updates the 2018 version.

OBJECTIVES

To assess the effects of individualised gonadotropin dose selection using markers of ovarian reserve in women undergoing IVF/ICSI.

SEARCH METHODS

We searched the Cochrane Gynaecology and Fertility Group Specialised Register of controlled trials, CENTRAL, MEDLINE, Embase, and two trial registers in February 2023.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) that compared (a) different doses of FSH in women with a defined ORT profile (i.e. predicted low, normal, or high responders based on AMH, AFC, and/or bFSH) or (b) an individualised dosing strategy (based on at least one ORT measure) versus uniform dosing or a different individualised dosing algorithm.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methodological procedures. Primary outcomes were live birth/ongoing pregnancy and severe OHSS.

MAIN RESULTS

We included 26 studies, involving 8520 women (6 new studies added to 20 studies included in the previous version). We treated RCTs with multiple comparisons as separate trials for the purpose of this review. Meta-analysis was limited due to clinical heterogeneity. Evidence certainty ranged from very low to low, with the main limitations being imprecision and risk of bias associated with lack of blinding. Direct dose comparisons according to predicted response in women Due to differences in dose comparisons, caution is required when interpreting the RCTs in predicted low responders. All evidence was low or very low certainty. Effect estimates were very imprecise, and increased FSH dosing may or may not have an impact on rates of live birth/ongoing pregnancy, OHSS, and clinical pregnancy. Similarly, in predicted normal responders (10 studies, 4 comparisons), higher doses may or may not impact the probability of live birth/ongoing pregnancy (e.g. 200 versus 100 international units (IU): odds ratio (OR) 0.88, 95% confidence interval (CI) 0.57 to 1.36; I2 = 0%; 2 studies, 522 women) or clinical pregnancy. Results were imprecise, and a small benefit or harm remains possible. There were too few events for the OHSS outcome to enable inferences. In predicted high responders, lower doses may or may not affect live birth/ongoing pregnancy (OR 0.98, 95% CI 0.66 to 1.46; 1 study, 521 women), severe OHSS, and clinical pregnancy. It is also unclear whether lower doses reduce moderate or severe OHSS (Peto OR 2.31, 95% CI 0.80 to 6.67; 1 study, 521 participants). ORT-algorithm studies Eight trials compared an ORT-based algorithm to a non-ORT control group. It is unclear whether live birth/ongoing pregnancy and clinical pregnancy are increased using an ORT-based algorithm (live birth/ongoing pregnancy: OR 1.12, 95% CI 0.98 to 1.29; I2 = 30%; 7 studies, 4400 women; clinical pregnancy: OR 1.04, 95% CI 0.91 to 1.18; I2 = 18%; 7 studies, 4400 women; low-certainty evidence). However, ORT algorithms may reduce moderate or severe OHSS (Peto OR 0.60, 95% CI 0.42 to 0.84; I2 = 0%; 7 studies, 4400 women; low-certainty evidence). There was insufficient evidence to determine whether the groups differed in rates of severe OHSS (Peto OR 0.74, 95% CI 0.42 to 1.28; I2 = 0%; 5 studies, 2724 women; low-certainty evidence). Our findings suggest that if the chance of live birth with a standard starting dose is 25%, the chance with ORT-based dosing would be between 25% and 31%. If the chance of moderate or severe OHSS with a standard starting dose is 5%, the chance with ORT-based dosing would be between 2% and 5%. These results should be treated cautiously due to heterogeneity in the algorithms: some algorithms appear to be more effective than others.

AUTHORS' CONCLUSIONS

We did not find that tailoring the FSH dose in any particular ORT population (low, normal, high ORT) affected live birth/ongoing pregnancy rates, but we could not rule out differences, due to sample size limitations. Low-certainty evidence suggests that it is unclear if ORT-based individualisation leads to an increase in live birth/ongoing pregnancy rates compared to a policy of giving all women 150 IU. The confidence interval is consistent with an increase of up to around six percentage points with ORT-based dosing (e.g. from 25% to 31%) or a very small decrease (< 1%). A difference of this magnitude could be important to many women. It is unclear if this is driven by improved outcomes in a particular subgroup. Further, ORT algorithms reduced the incidence of OHSS compared to standard dosing of 150 IU. However, the size of the effect is also unclear. The included studies were heterogeneous in design, which limited the interpretation of pooled estimates. It is likely that different ORT algorithms differ in their effectiveness. Current evidence does not provide a clear justification for adjusting the dose of 150 IU in poor or normal responders, especially as increased dose is associated with greater total FSH dose and cost. It is unclear whether a decreased dose in predicted high responders reduces OHSS, although this would appear to be the most likely explanation for the results.

Verification of the utility of the gonadotropin starting dose calculator in progestin-primed ovarian stimulation: A comparison of empirical and calculated controlled ovarian stimulation

Purpose

To validate the effectiveness of a gonadotropin starting dose calculator for progestin-primed ovarian stimulation (PPOS), we conducted a study comparing the outcomes of oocyte retrieval between a group assigned gonadotropin doses via the calculator and a control group, where doses were determined by the clinician's empirical judgment.

Methods

Patients underwent controlled ovarian stimulation (COS) using the PPOS method, followed by oocyte retrieval. We assessed and compared the results of COS and oocyte retrieval in both groups. Additionally, we examined the concordance rate between the number of oocytes actually retrieved and the target number of oocytes in each group.

Results

The calculated group demonstrated a significantly higher number of preovulation follicles and a higher ovarian sensitivity index than the control group. Furthermore, the discrepancy between the target and actual number of oocytes retrieved was notably smaller in the calculated group. The concordance rate between the target and actual number of oocytes was significantly greater in the calculated group.

Conclusions

The gonadotropin starting dose calculator proved to be effective within the PPOS protocol, offering a reliable method for predicting the approximate number of oocytes to be retrieved, irrespective of the COS protocol employed.

The gonadotropins starting dose calculator, which can be adjusted the target number of oocytes and stimulation duration days to achieve individualized controlled ovarian stimulation in Japanese patients

Purpose

To create a gonadotropin starting dose calculator for controlled ovarian stimulation, which can adjust the target number of oocytes and stimulation duration for each facility to achieve individualized controlled ovarian stimulation among the Japanese patients.

Methods

The patients received controlled ovarian stimulation using the gonadotropin-releasing hormone antagonist protocol, and oocytes were retrieved. Using single regression analysis, we selected age, anti-Müllerian hormone (AMH), and initial serum follicle-stimulating hormone as variables to predict the number of oocytes retrieved per gonadotropin dose (oocyte sensitivity index). Each variable was then analyzed using backward stepwise multiple regression.

Results

Age and AMH were selected as predictive variables from the backward stepwise multiple regression, and we developed a multiple regression equation. We decomposed the equation as the number of oocytes retrieved/(gonadotropin starting dose × stimulation duration days) and created a calculation formula to predict the gonadotropin starting dose from the target number of oocytes and stimulation duration days.

Conclusions

This is the first study to develop an individualized dosing algorithm for gonadotropins among Japanese patients. Our calculator will improve controlled ovarian stimulation performance and enable national standardization by allowing all physicians, regardless of their years of experience, to determine the appropriate starting dose of gonadotropins equally.

Comparison of two different starting dose of rhFSH in GnRH antagonist protocol for patients with normal ovarian reserve

OBJECTIVE

To evaluate different starting doses of recombinant human follicle-stimulating hormone (rhFSH) on pregnancy outcomes for patients with normal ovarian reserve during gonadotropin- releasing hormone antagonist (GnRH-ant) protocol-controlled ovarian stimulation of in vitro fertilization (IVF) cycles.

METHODS

In this retrospective study, a total of 1138 patients undergoing IVF cycles following the GnRH-ant protocol were enrolled. Patients were divided into two groups according to the starting dose of rhFSH. 617 patients received a starting dose of rhFSH of 150 IU, and 521 patients received a starting dose of rhFSH of 225 IU. We compared demographic characteristics, ovarian stimulation and embryological characteristics, and pregnancy and birth outcomes between the two groups. Multivariate logistic regression analysis was performed to examine the possible effects of the known potential confounding factors on pregnancy outcomes.

RESULTS

The number of oocytes retrieved in the 150 IU rhFSH group was significantly lower than those in the 225 IU rhFSH group. There was no significant difference between the two groups referring to embryological characteristics. The proportion of fresh embryo transfer in the 150 IU rhFSH group was significantly higher than that in the 225 IU rhFSH group (48.30% vs. 40.90%), and there was no difference in the risk of ovarian hyperstimulation syndrome and pregnancy outcomes between the two groups.

CONCLUSIONS

In conclusion, the starting dose of rhFSH of 150 IU for ovarian stimulation has a similar pregnancy outcome as starting dose of rhFSH of 225 IU in GnRH-ant protocol for patients with normal ovarian reserve. Considering the potential cost-effectiveness and shorter time to live birth, the starting dose of rhFSH of 150 IU may be more suitable than 225 IU.

Prediction model of gonadotropin starting dose and its clinical application in controlled ovarian stimulation

Background

Selecting an appropriate and personalized Gn starting dose (GSD) is an essential procedure for determining the quality and quantity of oocytes in the controlled ovarian stimulation (COS) process of the in-vitro fertilization (IVF) treatment cycle. The current approach for determining the GSD is mainly based on the experience of a clinician, lacking unified and scientific standards. This study aims to establish a prediction model of GSD, based on which good COS outcomes can be achieved with the influencing factors comprehensively evaluated quantitatively.

Material and methods

We collected a total of 1555 patients undergoing the first oocytes retrieving cycle and conducted correlation analysis to find the significant factors related to the GSD. Two GSD models are built based on two popular machine learning approaches, and the one with better model performance is selected as the final model. Finally, clinical application and validation were conducted to verify the effectiveness of the proposed model.

Results

(1) Age, duration of infertility, type of infertility, body mass index (BMI), antral follicle count (AFC), basal follicle stimulating hormone (bFSH), estradiol (E₂), luteinizing hormone (LH), anti-Müllerian hormone (AMH) and COS treatment regimen were closely related to the GSD (P < 0.05). (2) The selected model has good modeling performance in terms of both root mean square error (RMSE) (29.87 ~ 34.21) and regression coefficient R (0.947 ~ 0.953). (3) A comprehensive evaluation of influencing factors for GSD is conducted and shows that the top four most significant factors are age, AMH, AFC, and BMI. (4) The proposed GSD can approximate the actual value well in the clinical application, with the mean absolute error of only 11.26 units, and the recommended results can prompt the number of oocytes retrieved (NOR) close to the optimal number.

Conclusion

Modeling the GSD value with machine learning approaches is feasible and effective, and the proposed model has good clinical application for determining the GSD in the IVF treatment cycle.

Cumulative delivery rate per aspiration IVF/ICSI cycle in POSEIDON patients: a real-world evidence study of 9073 patients

STUDY QUESTION

What is the cumulative delivery rate (CDR) per aspiration IVF/ICSI cycle in low-prognosis patients as defined by the Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number (POSEIDON) criteria?

SUMMARY ANSWER

The CDR of POSEIDON patients was on average ∼50% lower than in normal responders and varied across POSEIDON groups; differences were primarily determined by female age, number of embryos obtained, number of embryo transfer (ET) cycles per patient, number of oocytes retrieved, duration of infertility, and BMI.

WHAT IS KNOWN ALREADY

The POSEIDON criteria aim to underline differences related to a poor or suboptimal treatment outcome in terms of oocyte quality and quantity among patients undergoing IVF/ICSI, and thus, create more homogenous groups for the clinical management of infertility and research. POSEIDON patients are presumed to be at a higher risk of failing to achieve a live birth after IVF/ICSI treatment than normal responders with an adequate ovarian reserve. The CDR per initiated/aspiration cycle after the transfer of all fresh and frozen–thawed/warmed embryos has been suggested to be the critical endpoint that sets these groups apart. However, no multicenter study has yet substantiated the validity of the POSEIDON classification in identifying relevant subpopulations of patients with low-prognosis in IVF/ICSI treatment using real-world data.

STUDY DESIGN, SIZE, DURATION

Multicenter population-based retrospective cohort study involving 9073 patients treated in three fertility clinics in Brazil, Turkey and Vietnam between 2015 and 2017.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Participants were women with infertility between 22 and 42 years old in their first IVF/ICSI cycle of standard ovarian stimulation whose fresh and/or frozen embryos were transferred until delivery of a live born or until all embryos were used. Patients were retrospectively classified according to the POSEIDON criteria into four groups based on female age, antral follicle count (AFC), and the number of oocytes retrieved or into a control group of normal responders (non-POSEIDON). POSEIDON patients encompassed younger (<35 years) and older (35 years or above) women with an AFC ≥5 and an unexpected poor (<4 retrieved oocytes) or suboptimal (4–9 retrieved oocytes) response to stimulation, and respective younger and older counterparts with an impaired ovarian reserve (i.e. expected poor responders; AFC <5). Non-POSEIDON patients were those with AFC ≥5 and >9 oocytes retrieved. CDR was computed per one aspirated cycle. Logistic regression analysis was carried out to examine the association between patient classification and CDR.

MAIN RESULTS AND ROLE OF CHANCE

The CDR was lower in the POSEIDON patients than in the non-POSEIDON patients (33.7% vs 50.6%; P < 0.001) and differed across POSEIDON groups (younger unexpected poor responder [Group 1a; n = 212]: 27.8%, younger unexpected suboptimal responder [Group 1b; n = 1785]: 47.8%, older unexpected poor responder [Group 2a; n = 293]: 14.0%, older unexpected suboptimal responder [Group 2b; n = 1275]: 30.5%, younger expected poor responder [Group 3; n = 245]: 29.4%, and older expected poor responder [Group 4; n = 623]: 12.5%. Among unexpected suboptimal/poor responders (POSEIDON Groups 1 and 2), the CDR was twice as high in suboptimal responders (4–9 oocytes retrieved) as in poor responders (<4 oocytes) (P = 0.0004). Logistic regression analysis revealed that the POSEIDON grouping, number of embryos obtained, number of ET cycles per patient, number of oocytes collected, female age, duration of infertility and BMI were relevant predictors for CDR (P < 0.001).

LIMITATIONS, REASONS FOR CAUTION

Our study relied on the antral follicle count as the biomarker used for patient classification. Ovarian stimulation protocols varied across study centers, potentially affecting patient classification.

WIDER IMPLICATIONS OF THE FINDINGS

POSEIDON patients exhibit lower CDR per aspirated IVF/ICSI cycle than normal responders; the differences are mainly determined by female age and number of oocytes retrieved, thereby reflecting the importance of oocyte quality and quantity. Our data substantiate the validity of the POSEIDON criteria in identifying relevant subpopulations of patients with low-prognosis in IVF/ICSI treatment. Efforts in terms of early diagnosis, prevention, and identification of specific interventions that might benefit POSEIDON patients are warranted.

STUDY FUNDING/COMPETING INTEREST(S)

Unrestricted investigator-sponsored study grant (MS200059_0013) from Merck KGaA, Darmstadt, Germany. The funder had no role in study design, data collection, analysis, decision to publish or manuscript preparation. S.C.E. declares receipt of unrestricted research grants from Merck and lecture fees from Merck and Med.E.A. H.Y. declares receipt of payment for lectures from Merck and Ferring. L.N.V. receives speaker fees and conferences from Merck, Merck Sharp and Dohme (MSD) and Ferring and research grants from MSD and Ferring. J.F.C. declares receipt of statistical services fees from ANDROFERT Clinic. T.M.H. received speaker fees and conferences from Merck, MSD and Ferring. P.H. declares receipt of unrestricted research grants from Merck, Ferring, Gedeon Richter and IBSA and lecture fees from Merck, Gedeon Richter and Med.E.A. C.A. declares receipt of unrestricted research grants from Merck and lecture fees from Merck. The remaining authors have no conflicts of interest to disclose.

TRIAL REGISTRATION NUMBER

N/A.

Is diminished ovarian reserve a risk factor for miscarriage? Results of a systematic review and meta-analysis

BACKGROUND

Anti-Müllerian hormone (AMH) serum concentration and antral follicle count (AFC), as measured by transvaginal ultrasonography, accurately reflect the antral follicle pool. However, AMH and AFC association with fertility surrogates (i.e. age at menopause, probability of conceiving naturally and ART success rate) is questioned. Miscarriage is often considered an alternative measure of reproductive capacity. Nonetheless, the impact of diminished ovarian reserve (DOR) on miscarriage incidence remains an understudied and unresolved issue.

OBJECTIVE AND RATIONALE

The aim of this systematic review and meta-analysis was to elucidate associations between DOR and miscarriage risk, both in women who conceived naturally and in those who achieved pregnancy through ART.

SEARCH METHODS

Relevant studies were identified by a systematic search in PubMed, MEDLINE, Embase and Scopus, from database inception to 1 March 2021. Studies were included only if all the following conditions were met: DOR was defined using serum AMH concentration or AFC; miscarriage rate was reported separately for different groups of women categorized according to the AMH and/or AFC level; authors reported either the rate of intrauterine pregnancy loss before 22 weeks of gestation or enough data were available to calculate it.

OUTCOMES

From a total of 347 publications initially identified, 16 studies were included. Pooled results from 13 retrospective studies focusing on ART pregnancies showed a significantly higher rate of miscarriage in women with a low AMH, as compared to women with a medium or high serum AMH concentration (12 042 women, random effects model, odds ratio (OR) 1.35; 95% CI, 1.10-1.66; P = 0.004; I2=50%). The only prospective study on ART pregnancies failed to show any association (61 women, risk ratio (RR) 2.95; 95% CI, 0.66-3.18; P = 0.16). Data from two prospective studies, which included naturally conceived pregnancies, showed a significantly increased miscarriage risk for women with low serum AMH. However, these data could not undergo meta-analysis owing to differing study designs. Using three retrospective studies, we observed an association between low AFC and miscarriage incidence (three retrospective studies on ART pregnancies, random effects model, OR 1.81; 95% CI, 1.02-3.21; P = 0.04; I2=64%).

WIDER IMPLICATIONS

Our meta-analysis findings suggest that within the DOR patient subgroup, serum AMH and AFC biomarker levels may correlate with both the quantitative and qualitative aspects of ovarian reserve. However, owing to study limitations, the aetiology of this effect remains unclear and we are unable to define a causal relationship between DOR and increased miscarriage or to provide clinical recommendations based on this information. However, if confirmed by future well-designed studies, these findings would be profoundly informative for guiding women in family planning decisions.

Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology

The prediction of poor ovarian response (POR) for stratified interference is a critical clinical issue that has received an increasing amount of recent concern. Anthropogenic diagnostic modes remain too simple for the handling of actual clinical complexity. Therefore, this study conducted extensive selection using models that were derived from a variety of machine learning algorithms, including random forest (RF), decision trees, eXtreme Gradient Boosting (XGBoost), support vector machine (SVM), and artificial neural networks (ANN) for the development of two models called the COS pre-launch model (CPLM) and the hCG pre-trigger model (HPTM) to assess POR based on different requirements. The results demonstrated that CPLM constructed using ANN achieved the highest AUC result of all the algorithms in COS pre-launch (AUC=0.859, C-index=0.87, good calibration), and HPTL constructed using random forest was found to be the most effective in hCG pre-trigger (AUC=0.903, C-index=0.90, good calibration). It is notable that CPLM and HPTM exhibited better performance than common clinical characteristics (0.895 [CPLM], and 0.903 [HPTM] in comparison to 0.824 [anti-Müllerian hormone (AMH)], and 0.799 [antral follicle count (AFC)]). Furthermore, variable importance figure elucidated the values of AMH, AFC, and E₂ level and follicle number on hCG day, which provides important theoretical guidance and experimental data for further application. Generally, the CPLM and HPTM can offer effective POR prediction for patients who are receiving assisted reproduction technology (ART), and has great potential for guiding the clinical treatment of infertility.

Individualized ovarian stimulation in IVF/ICSI treatment: it is time to stop using high FSH doses in predicted low responders

In IVF/ICSI treatment, the FSH starting dose is often increased in predicted low responders from the belief that it improves the chance of having a baby by maximizing the number of retrieved oocytes. This intervention has been evaluated in several randomized controlled trials, and despite a slight increase in the number of oocytes—on average one to two more oocytes in the high versus standard dose group—no beneficial impact on the probability of a live birth has been demonstrated (risk difference, −0.02; 95% CI, −0.11 to 0.06). Still, many clinicians and researchers maintain a highly ingrained belief in ‘the more oocytes, the better’. This is mainly based on cross-sectional studies, where the positive correlation between the number of retrieved oocytes and the probability of a live birth is interpreted as a direct causal relation. If the latter would be present, indeed, maximizing the oocyte number would benefit our patients. The current paper argues that the use of high FSH doses may not actually improve the probability of a live birth for predicted low responders undergoing IVF/ICSI treatment and exemplifies the flaws of directly using cross-sectional data to guide FSH dosing in clinical practice. Also, difficulties in the de-implementation of the increased FSH dosing strategy are discussed, which include the prioritization of intermediate outcomes (such as cycle cancellations) and the potential biases in the interpretation of study findings (such as confirmation or rescue bias).

Low Prognosis by the POSEIDON Criteria in Women Undergoing Assisted Reproductive Technology: A Multicenter and Multinational Prevalence Study of Over 13,000 Patients

OBJECTIVE

To estimate the prevalence of low-prognosis patients according to the POSEIDON criteria using real-world data.

DESIGN

Multicenter population-based cohort study.

SETTINGS

Fertility clinics in Brazil, Turkey, and Vietnam.

PATIENTS

Infertile women undergoing assisted reproductive technology using standard ovarian stimulation with exogenous gonadotropins.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Per-period prevalence rates of POSEIDON patients (overall, stratified by POSEIDON groups and by study center) and the effect of covariates on the probability that a patient be classified as "POSEIDON".

RESULTS

A total of 13,146 patients were included. POSEIDON patients represented 43.0% (95% confidence interval [CI] 42.0-43.7) of the studied population, and the prevalence rates varied across study centers (range: 38.6-55.7%). The overall prevalence rates by POSEIDON groups were 44.2% (group 1; 95% CI 42.6-45.9), 36.1% (group 2; 95% CI 34.6-37.7), 5.2% (group 3; 95% CI 4.5-6.0), and 14.4% (group 4; 95% CI: 13.3-15.6). In general, POSEIDON patients were older, had a higher body mass index (BMI), lower ovarian reserve markers, and a higher frequency of female factor as the primary treatment indication than non-POSEIDON patients. The former required larger doses of gonadotropin for ovarian stimulation, despite achieving a 2.5 times lower number of retrieved oocytes than non-POSEIDON patients. Logistic regression analyses revealed that female age, BMI, ovarian reserve, and a female infertility factor were relevant predictors of the POSEIDON condition.

CONCLUSIONS

The estimated prevalence of POSEIDON patients in the general population undergoing ART is significant. These patients differ in clinical characteristics compared with non-POSEIDON patients. The POSEIDON condition is associated with female age, ovarian reserve, BMI, and female infertility. Efforts in terms of diagnosis, counseling, and treatment are needed to reduce the prevalence of low-prognosis patients.

Ovarian biomarkers predict controlled ovarian stimulation for in vitro fertilisation treatment in Singapore

INTRODUCTION

Ovarian biomarkers have been shown to predict responses to controlled ovarian hyperstimulation (COH) during in vitro fertilisation (IVF) in predominantly Caucasian populations, with limited studies performed in Southeast Asian women in Singapore.

METHODS

We evaluated the performance of serum anti-Müllerian hormone (AMH), follicle-stimulating hormone and oestradiol levels, antral follicle count (AFC), body mass index, ovarian volume, and age to establish thresholds for the prediction of poor (< 4 oocytes retrieved) and excessive responses (> 19 oocytes retrieved) in 263 women undergoing COH. Univariate and multivariate logistic regression analysis and receiver operating characteristic curves were used to calculate probabilities for poor and excessive responders to COH.

RESULTS

36 (13.7%) and 50 (19.0%) women had poor and excessive response to COH, respectively. An AMH value of 0.69 ng/mL predicted poor ovarian response with positive likelihood ratio (LR) of 2.94, compared to an AFC of ≤ 5 when the positive LR is 2.36. Conversely, an AMH value of ≥ 3.06 ng/mL predicted excessive ovarian response with positive LR of 2.24, compared to an AFC cut-off of ≥ 12 with positive LR of 1.93.

CONCLUSION

AMH levels and AFC are equivalent in the prediction of both poor and excessive ovarian response in women undergoing IVF. Our study highlights the importance of establishing population-specific cut-off biomarker values so that protocols can be tailored to optimise IVF treatment.

AMH-based ovarian stimulation versus conventional ovarian stimulation for IVF/ICSI: a systematic review and meta-analysis

BACKGROUND

Anti-Müllerian hormone (AMH) used to establish patient profiles and predict ovarian response to stimulation, its role in assisted reproductive technology techniques is crucial.

PURPOSE

To evaluate the evidence from published RCTs about the efficacy and safety of AMH-based ovarian stimulation versus conventional ovarian stimulation.

METHOD

Search strategy: electronic databases were searched using the following MeSH terms (Anti-Müllerian hormone OR AMH) AND (IVF OR ICSI) and (tailored OR based).

SELECTION CRITERIA

only RCTs were included. Four studies were included in the quantitative synthesis.

DATA COLLECTION AND ANALYSIS

the extracted data were entered into RevMan software, the relative risk (RR) and 95% confidence interval (CI) were used for data analysis.

RESULTS

Primary outcomes: ongoing pregnancy: test for overall effect was in favor of AMH-based group, but there was no statistically significant difference [RR = 0.95, 95% CI (0.84-1.08), P = 0.44]. Severe ovarian hyperstimulation syndrome (OHSS) test or overall effect was in favor of AMH-based group, but there was still no statistically significant difference [RR = 0.68, 95% CI (0.43-1.06), P = 0.09]. Secondary outcomes were dose of rFSH, the number of oocytes retrieved, fertilized oocytes, embryos (day 3), blastocysts (day 5), and duration of stimulation. Only the dose of rFSH and duration of stimulation were in the favor of AMH-based group, with statistically significant difference. The other four secondary outcomes were in the favor of the conventional group but with no statistically significant difference.

CONCLUSION

AMH-based stimulation has the same results of pregnancy rate and risk of OHSS and can reduce the dose of rFSH and duration of stimulation.

Comparison of antral follicle count and serum anti Müllerian hormone level for determination of gonadotropin dosing in in-vitro fertilization: randomized trial

OBJECTIVE

To compare the proportion of women achieving a desired ovarian response following ovarian stimulation when gonadotropin dosing was determined based on antral follicle count (AFC) vs serum anti-Müllerian hormone (AMH) level, in women undergoing in-vitro fertilization (IVF) using the gonadotropin-releasing hormone (GnRH) antagonist protocol.

METHODS

This was a randomized double-blind trial carried out in a university-affiliated assisted reproduction unit. A total of 200 women undergoing their first IVF cycle using the GnRH-antagonist protocol between April 2016 and February 2018 were randomized to determination of gonadotropin dosing based on either AFC or serum AMH level measured in the pretreatment cycle 1 month before the IVF cycle. Patients underwent IVF as per our center's standard protocol. The proportion of subjects achieving a desired ovarian response, defined as retrieval of six to 14 oocytes, was compared between the two study arms. Subgroup analysis of patients with baseline AFC > 5 and those with baseline AFC ≤ 5 was performed. Concordance in AFC and AMH categorization between the pretreatment cycle and the ovarian-stimulation cycle was assessed using Cohen's kappa (κ).

RESULTS

There was no significant difference in the proportion of patients achieving a desired ovarian response between the AFC (54%) and AMH (49%) groups (P = 0.479). The median number of oocytes retrieved was nine vs seven (P = 0.070), and the median follicular output rate was 0.54 vs 0.55 (P = 0.764) in the AFC and AMH groups, respectively. Similar findings were observed on subgroup analysis of subjects with AFC ≤ 5 and AFC > 5 at the start of ovarian stimulation (P > 0.05 for all comparisons). There was moderate concordance between AFC and AMH measured in the pretreatment cycle and the stimulation cycle (κ = 0.478 and 0.587, respectively).

CONCLUSION

The proportion of women achieving a desired ovarian response following ovarian stimulation using the GnRH-antagonist protocol is similar when the gonadotropin-dosing algorithm used is based on AFC or serum AMH level. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Clinical Application of AMH Measurement in Assisted Reproduction

Anti-Müllerian hormone reflects the continuum of the functional ovarian reserve, and as such can predict ovarian response to gonadotropin stimulation and be used to individualize treatment pathways to improve efficacy and safety. However, consistent with other biomarkers and age-based prediction models it has limited ability to predict live birth and should not be used to refuse treatment, but rather to inform counselling and shared decision making. The use of absolute clinical thresholds to stratify patient phenotypes, assess discordance and individualize treatment protocols in non-validated algorithms combined with the lack of standardization of assays may result in inappropriate classification and sub-optimal clinical decision making. We propose that holistic baseline phenotyping, incorporating antral follicle count and other patient characteristics is critical. Treatment decisions driven by validated algorithms that use ovarian reserve biomarkers as continuous measures, reducing the risk of misclassification, are likely to improve overall outcomes for our patients.

Prediction of in vitro fertilization outcome at different antral follicle count thresholds combined with female age, female cause of infertility, and ovarian response in a prospective cohort of 8269 women

Antral follicle count (AFC) has been widely investigated for the prediction of clinical pregnancy or live birth. This study discussed the effects of AFC quartile levels on pregnancy outcomes combined with female age, female cause of infertility, and ovarian response undergoing in vitro fertilization (IVF) treatment. At present, many research about AFC mainly discuss its impact on clinical practice at different thresholds, or the analyses of AFC with respect to assisted reproductive technology outcomes under using different ovarian stimulation protocols. Factors that include ovarian sensitivity index, female age, and infertility cause are all independent predictors of live birth undergoing IVF/intracytoplasmic sperm injection, while few researchers discussed influence of female-related factors for clinical outcomes in different AFC fields.A total of 8269 infertile women who were stimulated with a long protocol with normal menstrual cycles were enrolled in the study, and patients were categorized into 4 groups based on AFC quartiles (1-8, 9-12, 13-17, and ≥18 antral follicles).The clinical pregnancy rates increased in the 4 AFC groups (28.25% vs 35.38% vs 37.38% vs 40.13%), and there was a negative association between age and the 4 AFC groups. In addition, female cause of infertility like polycystic ovary syndrome, Tubal factor, and other causes had great significance on clinical outcome, and ovarian response in medium (9-16 oocytes retrieved) had the highest clinical pregnancy rate at AFC quartiles of 1 to 8, 9 to 12, 13 to 17, and ≥18 antral follicles.This study concludes that the female-related parameters (female cause of infertility, female age, and ovarian response) combined with AFC can be useful to estimate the probability of clinical pregnancy.

Use of Corifollitropin Alfa for Ovarian Stimulation: A Retrospective Analysis of 804 Women Undergoing IVF/ICSI

Background: Corifollitropin alfa in GnRH antagonist protocol could provide a friendly treatment for IVF patients. There is limited evidence regarding the outcomes of corifollitropin alfa in ovarian hyperstimulation in Asian population.

Methods: This was a retrospective study conducted on IVF women from July 2012 to July 2018. The recruited patients were expected normal responders, expected poor responders and oocyte donors. The patients underwent GnRH antagonist protocol with corifollitropin alfa.

Results: There were 804 IVF patients included in the study. The patients were analyzed into: normal ovarian reserve-autologous cycles ([Formula: see text] 36 years and [Formula: see text] 60 kg, n = 33; [Formula: see text] 36 years and [Formula: see text] 60 kg, n [Formula: see text] 9; [Formula: see text] 36 years and [Formula: see text] 50 kg, n [Formula: see text] 204; [Formula: see text] 36 years and [Formula: see text] 50 kg, n [Formula: see text] 52), normal ovarian reserve-donor cycles ([Formula: see text] 60 kg, n [Formula: see text] 234; [Formula: see text] 60 kg, n [Formula: see text] 104) and diminished ovarian reserve cycles (n [Formula: see text] 168). In each group of patients, the pregnancy outcomes of fresh embryo transfer were comparable to those of frozen embryo transfer.

Conclusions: Corifollitropin alfa could offer an effective and simple treatment option for all groups of patients without PCOS.

A predictive formula for selecting individual FSH starting dose based on ovarian reserve markers in IVF/ICSI cycles

BACKGROUND

Although exogenous follicle-stimulating hormone (FSH) has been used for decades and millions of cycles have been performed worldwide until now, criteria for selecting the proper FSH starting dose have not been clearly identified. The aim of this study was to elaborate a formula based on markers of ovarian reserve for the calculation of the appropriate starting dose of FSH.

METHODS

A total of 931 patients underwent in vitro fertilization (IVF) treatment using long GnRH agonist protocol was retrospectively identified and reviewed. 673 cases of them with a normal ovarian response (4-14 retrieved oocytes) were used to analysis the predictive formula. All follicles 4-7 mm in diameter were counted in the same day of blood sample in both ovaries using transvaginal ultrasound scan. The modified protocol of each patient was recorded and analyzed in the same center. In another center were the numbers of retrieved oocytes of 750 validated patients recorded and analyzed.

RESULTS

A formula model based on age, AMH, and antral follicle count (AFC) was able to accurately predict the ovarian sensitivity and accounted for 57.2% of the variability of ovarian response to FSH. When tested in the same total population used to elaborate the model it predicts a high 46.88% rate of step-down protocol in higher-starting FSH dose group and about 57.92% of patients had their dose step-up modified in lower-starting FSH dose group during their treatment, respectively. And when tested in different population from another center used to elaborate the model it predicts a high 64.40% rate of ≥ 15 retrieved oocytes in higher-starting FSH dose group and about 22.50% of patients had ≤ 7 retrieved oocytes in lower-starting FSH dose group during their treatment, respectively.

CONCLUSIONS

In the present study we demonstrated that the individualized FSH starting dose may be calculated on the basis of a woman's age, AMH and AFC. The formula model might be a useful, immediate, and easily applicable tool for clinicians to predict the tailored starting dose of FSH during their daily clinical practice.

Evaluation of the Elecsys® anti-Müllerian hormone assay for the prediction of hyper-response to controlled ovarian stimulation with a gonadotrophin-releasing hormone antagonist protocol

OBJECTIVE

This non-interventional study aimed to validate a pre-specified anti-Müllerian hormone (AMH) cut-off of 15 pmol/L (2.10 ng/mL) for the prediction of hyper-response to controlled ovarian stimulation (COS) using the fully automated Elecsys^® AMH immunoassay.

STUDY DESIGN

One hundred and forty-nine women aged <44 years with regular menstrual cycles underwent COS with 150 IU/day follicle-stimulating hormone in a gonadotrophin-releasing hormone (GnRH) antagonist protocol. Response to COS (poor vs normal vs hyper-response) was defined by number of oocytes retrieved and occurrence of ovarian hyper-stimulation syndrome (OHSS).

RESULTS

Significant differences were seen between response classes for the number of follicles prior to follicle puncture (p < 0.001), the number of retrieved oocytes (p < 0.001) and the occurrence of OHSS (p < 0.001), which were all highest in hyper-responders. The area under the receiver operating characteristic curve for AMH to predict hyper-response was 82.1% (95% confidence interval [CI]: 72.5-91.7). When applying the AMH cut-off of 15.0 pmol/L, a sensitivity of 81.3% (95%CI: 54.4-96.0) to predict hyper-response and a specificity of 64.7% (95%CI: 55.9-72.8) to identify poor/normal responders was reached.

CONCLUSION

The Elecsys^® AMH assay can reliably predict hyper-response to COS in women undergoing a GnRH antagonist treatment protocol.

Correlation between Ovarian Reserve and Incidence of Ectopic Pregnancy after In Vitro Fertilization and Embryo Transfer

PURPOSE

To elucidate the correlation between ovarian reserve and the incidence of ectopic pregnancy (EP) following in vitro fertilization and embryo transfer (IVF/ET) cycles.

MATERIALS AND METHODS

In this observational study, 430 fresh IVF/ET cycles were examined from patient data of two university hospital infertility clinics. All included patients were positive for β-human chorionic gonadotropin (hCG) at 2 weeks after oocyte retrieval via controlled ovarian stimulation. For each cycle, information on age, duration of infertility, basal follicle stimulating hormone (FSH), anti-Müllerian hormone (AMH), days of ovarian stimulation, numbers of retrieved oocytes and transferred embryos, and pregnancy outcomes was collected. Patients with AMH lower than 1.0 ng/dL or basal FSH higher than 10 mIU/mL were classified into the decreased ovarian reserve (DOR) group, and the remaining patients were classified into the normal ovarian reserve (NOR) group.

RESULTS

In total, 355 cycles showed NOR, and 75 cycles DOR. There were no significant differences between the DOR and NOR groups regarding intrauterine (74.7% vs. 83.4%, respectively) or chemical (14.7% vs. 14.1%, respectively) pregnancies. The DOR group had a higher EP than that of NOR group [10.7% (8/75) vs. 2.5% (9/355), p=0.004]. In both univariate [odds ratio (OR) 5.6, 95% confidence interval (CI) 1.4-9.6, p=0.011] and multivariate (adjusted OR 5.1, 95 % CI 1.1-18.7, p=0.012) analysis, DOR was associated with a higher risk of EP.

CONCLUSION

DOR may be associated with a higher risk of EP in IVF/ET cycles with controlled ovarian stimulation. More careful monitoring may be necessary for pregnant women with DOR.

Individualization of FSH Doses in Assisted Reproduction: Facts and Fiction

The art of ovarian stimulation for IVF/ICSI treatment using exogenous FSH should be balanced against the relative contribution of other steps of the ART process such as the IVF-lab-phase and the Embryo-Transfer. The aim of ovarian stimulation is to obtain a certain number of oocytes, that will enable the best probability of achieving a live birth. It has been suggested that more oocytes will create a better prospect for pregnancy, but studies on the question whether the retrieval of a few oocytes less or more will make the difference are not clearly supportive for this mantra. Personalization strategies have been the subject of many studies over the past 20 years. Creating the optimal response in a patient in terms of live birth prognosis as well as OHSS risks may be based on information from the Ovarian Reserve testing using the Antral Follicle Count or Anti-Mullerian Hormone, the patient's bodyweight, the ovarian response in a previous cycle, and the dosage level of FSH. Taken together, steering the ovarian response into a supposed optimal range may appear difficult as the interrelation for each of these factors with the egg number is weak. Using OR testing for choosing FSH dosage, compared to a standard normal dosage of 150 IU, has been studied in several trials. Dosage individualization, in general, does not appear to improve the prospects for live birth, but the reduction in OHSS risk may be substantial. This implies that the use of high dosages of FSH in predicted LOW responders lacks any cost-benefit for the patient and may be abandoned, while in predicted HIGH responders, reduction of the usual dosage level of 150 IU may create better safety, provided that in case of an unexpected LOW response cancelation of the cycle is refrained from. In view of recent developments in using GnRH agonist triggering of final oocyte maturation, the trend could be that with the Antagonist co-medication system and a standard dosage of 150 IU of FSH, prior ovarian reserve testing may become futile, as safety can be managed well in actual HIGH responders by replacing the high dose hCG trigger.

A retrospective analysis of the follicle-stimulating hormone starting dose in expected normal responders undergoing their first in vitro fertilization cycle: proposed dose versus empiric dose

Objective

Methods

Results

Conclusion

Age-related nomograms of serum anti-Mullerian hormone levels in female monkeys: Comparison of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) monkeys

AMH is regarded as a promising predictor for ovarian reserve in humans and non-human primate, and widely used in human medicine to predict ovarian response to gonadotropin, menopause and premature ovarian failure. However, large data set on the range of AMH levels in nonhuman primates is still scarce, which limited its applications largely. In this study, age-related AMH nomograms of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) were produced and compared. 219 rhesus and 529 cynomolgus monkeys ranging from infancy to adult were included. In total, the mean serum AMH levels in cynomolgus monkeys were higher than that of rhesus monkeys (14.6 ± 5.3 ng/ml vs 9.5 ± 6.0 ng/ml, P < 0.001). AMH was inversely correlated with age (r = -0.371, P < 0.001) in rhesus, while the negative correlation did not reach statistical significance in cynomolgus monkeys (r = -0.044, P = 0.156). The maximum mean AMH levels were attained at the subgroup of 4-11 yr and the lowest AMH levels were obtained at the subgroup of ≧12 yr in both primates, corresponding to their fertility potential. In rhesus monkeys, from 1 to 11 years old, AMH level remained stable (1-3 yr: ß = 2.784, P = 0.340; 4-11 yr: r = 0.100, P = 0.110) whereas from 12 yr onward, an inverse correlation between AMH and age (r = -0.450, P = 0.02) was observed. Similarly, AMH appeared stable from 1 to 3 yr (ß = -2.289, P = 0.429) and showed an inverse correlation with age (r = -0.521, P < 0.001) from 12 yr onward in cynomolgus monkeys, while a positive correlation was observed (r = 0.156, P = 0.001) from 4 to 11 yr. AMH levels were relatively stable across the menstrual cycle in both primates and no seasonal difference for AMH levels was observed in rhesus monkeys. Body mass index did not affect serum AMH levels in both primates. Our nomograms of serum AMH provide a reference guide on AMH longitudinal distribution by age for Macaca monkeys and might facilitate its applications.

Are we choosing the correct FSH starting dose during controlled ovarian stimulation for intrauterine insemination cycles? Potential application of a nomogram based on woman's age and markers of ovarian reserve

PURPOSE

To evaluate the potential application of a nomogram based on woman's age and ovarian reserve markers as a tool to optimize the follicle-stimulating hormone (FSH) starting dose in intrauterine insemination (IUI) cycles.

METHODS

We conducted a retrospective analysis enrolling 179 infertile women undergoing controlled ovarian stimulation (COS), followed by IUI. Each woman received an FSH starting dose according to clinical decision. After collecting data about COS and IUI procedures, we calculated the FSH starting dose according to the nomogram. The main outcomes measured were women's baseline characteristics, COS, and clinical outcomes.

RESULTS

The FSH starting dose calculated by the nomogram was significantly lower than the one actually prescribed (p < 0.001), in only 14.8% of the cycles nomogram calculated a higher starting dose. When gonadotropin dose was decreased during COS, and similarly in case of hyper-response (more than two follicles ≥ 16 mm retrieved), the FSH starting dose calculated by the nomogram would have been lower in most of the cases (81.8% and 48.8%, respectively). Conversely, when gonadotropin dose was increased during COS and in case of low ovarian response (no follicle ≥ 16 mm retrieved), the FSH starting dose calculated by the nomogram would have been lower in most of the cases (64.7% and 100%, respectively); in these groups median anti-Müllerian hormone (AMH) level was 5.62 ng/mL.

CONCLUSIONS

The application of this nomogram in IUI cycles would lead to a more tailored FSH starting dose and improved cost-effectiveness, although in PCOS women, particularly the ones with high AMH, it does not seem adequate.

Individualised gonadotropin dose selection using markers of ovarian reserve for women undergoing in vitro fertilisation plus intracytoplasmic sperm injection (IVF/ICSI)

BACKGROUND

During a cycle of in vitro fertilisation plus intracytoplasmic sperm injection (IVF/ICSI), women receive daily doses of gonadotropin follicle-stimulating hormone (FSH) to induce multifollicular development in the ovaries. Generally, the dose of FSH is associated with the number of eggs retrieved. A normal response to stimulation is often considered desirable, for example the retrieval of 5 to 15 oocytes. Both poor and hyper-response are associated with increased chance of cycle cancellation. Hyper-response is also associated with increased risk of ovarian hyperstimulation syndrome (OHSS). Clinicians often individualise the FSH dose using patient characteristics predictive of ovarian response such as age. More recently, clinicians have begun using ovarian reserve tests (ORTs) to predict ovarian response based on the measurement of various biomarkers, including basal FSH (bFSH), antral follicle count (AFC), and anti-Müllerian hormone (AMH). It is unclear whether individualising FSH dose based on these markers improves clinical outcomes.

OBJECTIVES

To assess the effects of individualised gonadotropin dose selection using markers of ovarian reserve in women undergoing IVF/ICSI.

SEARCH METHODS

We searched the Cochrane Gynaecology and Fertility Group Specialised Register, Cochrane Central Register of Studies Online, MEDLINE, Embase, CINAHL, LILACS, DARE, ISI Web of Knowledge, ClinicalTrials.gov, and the World Health Organisation International Trials Registry Platform search portal from inception to 27th July 2017. We checked the reference lists of relevant reviews and included studies.

SELECTION CRITERIA

We included trials that compared different doses of FSH in women with a defined ORT profile (i.e. predicted low, normal or high responders based on AMH, AFC, and/or bFSH) and trials that compared an individualised dosing strategy (based on at least one ORT measure) versus uniform dosing or a different individualised dosing algorithm.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures recommended by Cochrane. Primary outcomes were live birth/ongoing pregnancy and severe OHSS. Secondary outcomes included clinical pregnancy, moderate or severe OHSS, multiple pregnancy, oocyte yield, cycle cancellations, and total dose and duration of FSH administration.

MAIN RESULTS

We included 20 trials (N = 6088); however, we treated those trials with multiple comparisons as separate trials for the purpose of this review. Meta-analysis was limited due to clinical heterogeneity. Evidence quality ranged from very low to moderate. The main limitations were imprecision and risk of bias associated with lack of blinding.Direct dose comparisons in women according to predicted responseAll evidence was low or very low quality.Due to differences in dose comparisons, caution is warranted in interpreting the findings of five small trials assessing predicted low responders. The effect estimates were very imprecise, and increased FSH dosing may or may not have an impact on rates of live birth/ongoing pregnancy, OHSS, and clinical pregnancy.Similarly, in predicted normal responders (nine studies, three comparisons), higher doses may or may not impact the probability of live birth/ongoing pregnancy (e.g. 200 versus 100 international units: OR 0.88, 95% CI 0.57 to 1.36; N = 522; 2 studies; I2 = 0%) or clinical pregnancy. Results were imprecise, and a small benefit or harm remains possible. There were too few events for the outcome of OHSS to enable any inferences.In predicted high responders, lower doses may or may not have an impact on rates of live birth/ongoing pregnancy (OR 0.98, 95% CI 0.66 to 1.46; N = 521; 1 study), OHSS, and clinical pregnancy. However, lower doses probably reduce the likelihood of moderate or severe OHSS (Peto OR 2.31, 95% CI 0.80 to 6.67; N = 521; 1 study).ORT-algorithm studiesFour trials compared an ORT-based algorithm to a non-ORT control group. Rates of live birth/ongoing pregnancy and clinical pregnancy did not appear to differ by more than a few percentage points (respectively: OR 1.04, 95% CI 0.88 to 1.23; N = 2823, 4 studies; I2 = 34%; OR 0.96, 95% CI 0.82 to 1.13, 4 studies, I2=0%, moderate-quality evidence). However, ORT algorithms probably reduce the likelihood of moderate or severe OHSS (Peto OR 0.58, 95% CI 0.34 to 1.00; N = 2823; 4 studies; I2 = 0%, low quality evidence). There was insufficient evidence to determine whether the groups differed in rates of severe OHSS (Peto OR 0.54, 95% CI 0.14 to 1.99; N = 1494; 3 studies; I2 = 0%, low quality evidence). Our findings suggest that if the chance of live birth with a standard dose is 26%, the chance with ORT-based dosing would be between 24% and 30%. If the chance of moderate or severe OHSS with a standard dose is 2.5%, the chance with ORT-based dosing would be between 0.8% and 2.5%. These results should be treated cautiously due to heterogeneity in the study designs.

AUTHORS' CONCLUSIONS

We did not find that tailoring the FSH dose in any particular ORT population (low, normal, high ORT), influenced rates of live birth/ongoing pregnancy but we could not rule out differences, due to sample size limitations. In predicted high responders, lower doses of FSH seemed to reduce the overall incidence of moderate and severe OHSS. Moderate-quality evidence suggests that ORT-based individualisation produces similar live birth/ongoing pregnancy rates to a policy of giving all women 150 IU. However, in all cases the confidence intervals are consistent with an increase or decrease in the rate of around five percentage points with ORT-based dosing (e.g. from 25% to 20% or 30%). Although small, a difference of this magnitude could be important to many women. Further, ORT algorithms reduced the incidence of OHSS compared to standard dosing of 150 IU, probably by facilitating dose reductions in women with a predicted high response. However, the size of the effect is unclear. The included studies were heterogeneous in design, which limited the interpretation of pooled estimates, and many of the included studies had a serious risk of bias.Current evidence does not provide a clear justification for adjusting the standard dose of 150 IU in the case of poor or normal responders, especially as increased dose is generally associated with greater total FSH dose and therefore greater cost. However, a decreased dose in predicted high responders may reduce OHSS.

IVF Transfer of Fresh or Frozen Embryos in Women without Polycystic Ovaries

BACKGROUND

Among women who are undergoing in vitro fertilization (IVF), the transfer of frozen embryos has been shown to result in a higher rate of live birth than the transfer of fresh embryos in those with infertility associated with the polycystic ovary syndrome. It is not known whether frozen-embryo transfer results in similar benefit in women with infertility that is not associated with the polycystic ovary syndrome.

METHODS

We randomly assigned 782 infertile women without the polycystic ovary syndrome who were undergoing a first or second IVF cycle to receive either a frozen embryo or a fresh embryo on day 3. In the frozen-embryo group, all grade 1 and 2 embryos had been cryopreserved, and a maximum of two embryos were thawed on the day of transfer in the following cycle. In the fresh-embryo group, a maximum of two fresh embryos were transferred in the stimulated cycle. The primary outcome was ongoing pregnancy after the first embryo transfer.

RESULTS

After the first completed cycle, ongoing pregnancy occurred in 142 of 391 women (36.3%) in the frozen-embryo group and in 135 of 391 (34.5%) in the fresh-embryo group (risk ratio in the frozen-embryo group, 1.05; 95% confidence interval [CI], 0.87 to 1.27; P=0.65). Rates of live birth after the first transfer were 33.8% and 31.5%, respectively (risk ratio, 1.07; 95% CI, 0.88 to 1.31).

CONCLUSIONS

Among infertile women without the polycystic ovary syndrome who were undergoing IVF, the transfer of frozen embryos did not result in significantly higher rates of ongoing pregnancy or live birth than the transfer of fresh embryos. (Funded by My Duc Hospital; ClinicalTrials.gov number, NCT02471573 .).

Follicle Size on Day of Trigger Most Likely to Yield a Mature Oocyte

OBJECTIVE

To identify follicle sizes on the day of trigger most likely to yield a mature oocyte following hCG, GnRH agonist (GnRHa), or kisspeptin during IVF treatment.

DESIGN

Retrospective analysis to determine the size of follicles on day of trigger contributing most to the number of mature oocytes retrieved using generalized linear regression and random forest models applied to data from IVF cycles (2014-2017) in which either hCG, GnRHa, or kisspeptin trigger was used.

SETTING

HCG and GnRHa data were collected at My Duc Hospital, Ho Chi Minh City, Vietnam, and kisspeptin data were collected at Hammersmith Hospital, London, UK.

PATIENTS

Four hundred and forty nine women aged 18-38 years with antral follicle counts 4-87 were triggered with hCG (n = 161), GnRHa (n = 165), or kisspeptin (n = 173).

MAIN OUTCOME MEASURE

Follicle sizes on the day of trigger most likely to yield a mature oocyte.

RESULTS

Follicles 12-19 mm on the day of trigger contributed the most to the number of oocytes and mature oocytes retrieved. Comparing the tertile of patients with the highest proportion of follicles on the day of trigger 12-19 mm, with the tertile of patients with the lowest proportion within this size range, revealed increases of 4.7 mature oocytes for hCG (P < 0.0001) and 4.9 mature oocytes for GnRHa triggering (P < 0.01). Using simulated follicle size profiles of patients with 20 follicles on the day of trigger, our model predicts that the number of oocytes retrieved would increase from a mean 9.8 (95% prediction limit 9.3-10.3) to 14.8 (95% prediction limit 13.3-16.3) oocytes due to the difference in follicle size profile alone.

CONCLUSION

Follicles 12-19 mm on the morning of trigger administration were most likely to yield a mature oocyte following hCG, GnRHa, or kisspeptin.

Corifollitropin alfa vs recombinant FSH for controlled ovarian stimulation in women aged 35-42 years with a body weight ≥50 kg: a randomized controlled trial

STUDY QUESTION

Is corifollitropin alfa 150 μg equivalent to follitropin beta 300 IU/day for controlled ovarian hyperstimulation (COS) in older women weighing ≥50 kg undergoing IVF and/or ICSI in Vietnam?

SUMMARY ANSWER

Corifollitropin alfa 150 μg was equivalent to follitropin beta 300 IU/day with respect to the number of oocytes retrieved, the ongoing, cumulative and live birth rates and obstetric outcomes.

WHAT IS KNOWN ALREADY

Corifollitropin alfa is a recombinant FSH (rFSH) preparation with slow absorption and a long half-life allowing administration of a single dose for COS lasting 7 days. Several randomized, controlled clinical trials have reported that COS with corifollitropin alfa is associated with similar outcomes compared with COS using daily rFSH. However, limited data are available in Asian patients.

STUDY DESIGN, SIZE, DURATION

This randomized controlled trial was conducted at a single large IVF centre in Vietnam from June 2015 to August 2016. A total of 400 patients were included, 200 in each treatment group. The primary outcome measure was the number of oocytes retrieved. Patients were followed for 1 year after randomization.

PARTICIPANTS /MATERIALS, SETTING, METHODS

Participants aged 35–42 years with a body weight ≥50 kg who were undergoing an IVF cycle were randomized to undergo COS with a single dose of corifollitropin alfa 150 μg on Day 2 or 3 of the menstrual cycle, or follitropin beta 300 IU/day for 7 days starting on Day 2 or 3 of the menstrual cycle. All underwent ICSI according to standard institutional protocols. A beta hCG test was performed 17 days after ovum pick-up, and positive tests were confirmed on vaginal and/or abdominal ultrasound at 5–6 weeks after embryo transfer (clinical pregnancy) and at ≥10 weeks (ongoing pregnancy). Rates of ovarian hyperstimulation syndrome, and maternal and foetal outcomes after one cycle of ICSI were monitored over 12 months.

MAIN RESULTS AND THE ROLE OF CHANCE

Patients in the corifollitropin alfa and follitropin beta groups were well matched at baseline (mean age 37.5 ± 1.9 vs 37.7 ± 2.0 years, mean body weight 53.7 ± 5.4 vs 52.5 ± 4.8 kg). There was no significant difference between the corifollitropin alfa and follitropin beta groups in the number of oocytes retrieved (11.4 ± 5.9 vs 10.8 ± 5.8; P = 0.338). The ongoing pregnancy rate (31.5 vs 32.0%; P = 0.99) and live birth rate (30.5 vs 32.0%; P = 0.83) (both per initiated cycle at 12 months after randomization) were also similar in the two treatment groups. Complication rates were low and similar in the corifollitropin alfa and follitropin beta groups, and there were no significant between-group differences in obstetric outcomes.

LIMITATIONS, REASONS FOR CAUTION

This study had an open-label design, and therefore, the potential for bias cannot be excluded. The findings are only applicable to patient populations with similar characteristics to those enroled in the study.

WIDER IMPLICATIONS OF THE FINDINGS

This study adds to the body of evidence supporting the equivalence of corifollitropin alfa and follitropin beta for COS in a variety of patients undergoing IVF and/or ICSI. The ability to provide COS with corifollitropin alfa has the potential to reduce the burden of treatment for patients.

STUDY FUNDING/COMPETING INTERESTS

This study was supported by Merck Sharp and Dohme. The authors state that they have no financial or commercial conflicts of interest.

TRIAL REGISTRATION NUMBER

The trial was registered with clinicaltrials.gov (NCT02466204).

TRIAL REGISTRATION DATE

2 June 2015.

DATE OF FIRST PATIENT’S ENROLMENT

19 June 2015.

Establishment and validation of a score to predict ovarian response to stimulation in IVF

This study aimed to integrate clinical and biological parameters in a score able to predict ovarian response to stimulation for IVF in gonadotrophin-releasing hormone (GnRH) antagonist protocols. A progressive discriminant analysis to establish a score including the main clinical and biological parameters predicting ovarian response was performed by retrospectively analysing data from the first ovarian stimulation cycle of 494 patients. The score was validated in a prospectively enrolled, independent set of 257 patients undergoing their first ovarian stimulation cycle. All ovarian stimulations were performed using a combination of GnRH antagonist and recombinant FSH. Ovarian response was assessed through ovarian sensitivity index (OSI). Parameters from the patients' database were classified according to correlation with OSI: the progressive discriminant analysis resulted in the following calculation: score = 0.192 - (0.004 × FSH (IU/l)) + (0.012 × LH:FSH ratio) + (0.002 × AMH (ng/ml)) - (0.002 × BMI (kg/m²)) + (0.001 × AFC) - (0.002 × age (years)). This score was significantly correlated with OSI in the retrospective (r = 0.599; P < 0.0001) and prospective (r = 0.584; P < 0.0001) studies. In conclusion, the score including clinical and biological parameters could explain 60% of the variance in ovarian response to stimulation.

How to personalize ovarian stimulation in clinical practice

Controlled ovarian stimulation (COS) in in vitro fertilization (IVF) cycles is the starting point from which couple’s prognosis depends. Individualization in follicle-stimulating hormone (FSH) starting dose and protocol used is based on ovarian response prediction, which depends on ovarian reserve. Anti-Müllerian hormone levels and the antral follicle count are considered the most accurate and reliable markers of ovarian reserve. A literature search was performed for studies that addressed the ability of ovarian reserve markers to predict poor and high ovarian response in assisted reproductive technology cycles. According to the predicted response to ovarian stimulation (poor- normal- or high- response), it is possible to counsel couples before treatment about the prognosis, and also to individualize ovarian stimulation protocols, choosing among GnRH-agonists or antagonists for endogenous FSH suppression, and the FSH starting dose in order to decrease the risk of cycle cancellation and ovarian hyperstimulation syndrome. In this review we discuss how to choose the best COS therapy, based on ovarian reserve markers, in order to enhance chances in IVF.

The cutoff values of serum AMH levels and starting recFSH doses for the individualization of IVF treatment strategies

OBJECTIVE

The main purpose of our study is to categorize starting doses of recombinant follicle-stimulating hormone (recFSH) based on various cutoff values of anti-Mullerian hormone (AMH) and to determine the effectiveness of serum AMH levels in the prediction of poor ovarian response.

MATERIAL AND METHODS

Prospective data analysis was conducted at IVF center. A total of 323 patients were included. All patients were divided into four groups according to the patients' serum AMH concentrations: Group 1 (AMH < 1 ng/ml; 450 IU/day n = 157); Group 2 (AMH 1-2 ng/ml; 375 IU/day, n = 55); Group 3 (AMH 2-3 ng/ml; 225 IU/day, n = 48); and Group 4 (AMH > 3 ng/ml; 150 IU/day, n = 63). Collected data included age, total gonadotropin dosage, duration of stimulations, the total number of oocytes retrieved, ovarian response, cancelation rate, and cPRs.

RESULTS

As serum AMH levels increased, there were significant decreases in the starting recFSH dose and total gonadotropin dosage, and a significant increase in the total number of oocytes retrieved. There was a significant trend toward increasing cycle cancelation rates and decreasing cPRs with decreasing serum AMH levels. Although there were no significant differences with regard to the proportion of cycles with hypo-response between all groups. A result of ≤0.83 was considered the cutoff value of AMH to predict a hypo-response to ovarian stimulation.

CONCLUSIONS

AMH is a useful marker in selecting the starting dose of recFSH and prediction of poor ovarian response. Our protocol may allow clinicians to modulate the starting dose of recFSH according to these cutoff values for serum AMH levels.

Effect of GnRHa ovulation trigger dose on follicular fluid characteristics and granulosa cell gene expression profiles

PURPOSE

A recent dose-finding study showed no significant differences in number of mature oocytes, embryos and top-quality embryos when triptorelin doses of 0.2, 0.3 or 0.4 mg were used to trigger final oocyte maturation in oocyte donors co-treated with a gonadotropin-releasing hormone (GnRH) antagonist. This analysis investigated whether triptorelin dosing for triggering final oocyte maturation in oocyte donors induced differences in follicular fluid (FF) hormone levels and granulosa cell gene expression.

METHODS

This single-centre, randomised, parallel, investigator-blinded trial was conducted in oocyte donors undergoing a single stimulation cycle at IVFMD, My Duc Hospital, Ho Chi Minh City, Vietnam, from August 2014 to March 2015. A total of 165 women aged 18-35 years with body mass index <28 kg/m², anti-Müllerian hormone >1.25 ng/mL, and antral follicle count ≥6 were randomised to three different triptorelin doses for trigger. The main outcome was concentration of steroid hormones in FF collected from the first punctured follicle on each side. Moreover, luteinising hormone receptor (LHR), 3β-hydroxy-steroid-dehydrogenase (3ßHSD) and inhibin-Ba (INHB-A) gene expression in cumulus and mural granulosa cells were investigated in a subset of women from each group.

RESULTS

Progesterone and oestradiol levels in FF did not differ significantly by trigger doses; findings were similar for 3βHSD, LHR and INHB-A gene expression in both cumulus and mural granulosa cells.

CONCLUSIONS

In women co-treated with a GnRH antagonist, no significant differences in FF steroid levels and granulosa cell gene expression were seen when different triptorelin doses were used to trigger final oocyte maturation.

Clinical application of a nomogram based on age, serum FSH and AMH to select the FSH starting dose in IVF/ICSI cycles: a retrospective two-centres study

OBJECTIVE

To externally validate a nomogram based on ovarian reserve markers as a tool to optimize the FSH starting dose in IVF/ICSI cycles.

STUDY DESIGN

A two-centres retrospective study including 398 infertile women undergoing their first IVF/ICSI cycle (June 2013-June 2014). IVF data were retrieved from two independent IVF centres in Italy (San Raffaele Hospital, Centre 1; Verona Hospital, Centre 2). A central lab for the routine measurement of AMH and FSH was used for both centres. All women were treated based on physical and hormonal characteristics according to locally adopted protocols. The nomogram was then retrospectively applied to the patients comparing the calculated starting dose to the one actually given.

RESULTS

In Centre 1, 64/131 women (48.8%) had an ovarian response below the target. While 45 of these patients were treated with a maximal FSH starting dose (≥225 IU), n=19/131 (14.5%) were treated with a submaximal dose. The vast majority of them (n=17/19) would have received a higher FSH starting dose by using the nomogram. Seventeen patients (n=17/131) had hyper response and about half of them would have been treated with a reduced FSH starting dose according to the nomogram. In Centre 2, 142/267 patients (53.2%) had an ovarian response below the target. While 136 of these were treated with a maximal FSH starting dose (≥225 IU), n=6/267 were treated with a submaximal dose. The majority of them (n=5/6) would have received a higher FSH starting dose. Thirty-two (n=32/267) patients had hyper response and more than half of them would have been treated with a reduced FSH dose.

CONCLUSION

In both Centres, applying the nomogram would have resulted in more appropriate FSH starting doses compared to the the ones actually given based on clinicians choices. The use of an objective algorithm based on patient's age, serum FSH and AMH levels may thus be an effective advice on the selection of the tailored FSH starting dose. Hence, the use of this easily available nomogram could increase the proportion of patients achieving the optimal ovarian response.

Baseline AMH Level Associated With Ovulation Following Ovulation Induction in Women With Polycystic Ovary Syndrome

CONTEXT

Anti-Müllerian hormone (AMH) reduces aromatase activity and sensitivity of follicles to FSH stimulation. Therefore, elevated serum AMH may indicate a higher threshold for response to ovulation induction in women with polycystic ovary syndrome (PCOS).

OBJECTIVE

This study sought to determine the association between AMH levels and ovulatory response to treatment among the women enrolled into the Pregnancy in PCOS II (PPCOS II) trial.

DESIGN AND SETTING

This was a secondary analysis of data from a randomized clinical trial in academic health centers throughout the United States Participants: A total of 748 women age 18-40 years, with PCOS and measured AMH levels at baseline, were included in this study.

MAIN OUTCOME MEASURES

Couples were followed for up to five treatment cycles to determine ovulation (midluteal serum progesterone > 5 ng/mL) and the dose required to achieve ovulation.

RESULTS

A lower mean AMH and AMH per follicle was observed among women who ovulated compared with women who never achieved ovulation during the study (geometric mean AMH, 5.54 vs 7.35 ng/mL; P = .0001; geometric mean AMH per follicle, 0.14 vs 0.18; P = .01) after adjustment for age, body mass index, T, and insulin level. As AMH levels increased, the dose of ovulation induction medication needed to achieve ovulation also increased. No associations were observed between antral follicle count and ovulation.

CONCLUSIONS

These results suggest that high serum AMH is associated with a reduced response to ovulation induction among women with PCOS. Women with higher AMH levels may require higher doses of medication to achieve ovulation.

Impact of pituitary suppression on antral follicle count and oocyte recovery after ovarian stimulation

OBJECTIVE

To investigate the potential influence of short-term pituitary suppression on antral follicle count (AFC) and correlate the AFC with the number of oocytes retrieved after ovarian stimulation.

DESIGN

Retrospective study.

SETTING

University fertility center.

PATIENT(S)

A total of 1,479 infertile patients.

INTERVENTION(S)

Patients had baseline AFC, when they were not on any medications known to cause pituitary suppression, and follow-up AFC (suppressed AFC) while on E2, GnRH agonist (GnRH-a), oral contraceptive (OC) pills, or OC pills/GnRH-a in preparation for ovarian stimulation, performed within 6 months of initial baseline AFC.

MAIN OUTCOME MEASURE(S)

The AFC at baseline, AFC during pituitary suppression, and the number of oocytes retrieved.

RESULT(S)

Although there was an average unadjusted decline of 0.4, 0.9, 2.2, and 3.0 in AFC while patients were on E2, GnRH-a, OC pills, and OC pills/GnRH-a, respectively, this decline was driven by age, baseline AFC, and the hormones used. Although baseline and suppressed AFC were found to be good predictors of the number of oocytes retrieved after ovarian stimulation, statistically, suppressed AFC was found to be a marginally better predictor.

CONCLUSION(S)

Short-term pituitary suppression has a negative impact on AFC. This decline in AFC may influence the number of oocytes retrieved, suggesting the suppressive impact of exogenous hormones on the biological capacity of the ovary during stimulation.

Anti-Müllerian hormone as a marker of ovarian reserve: What have we learned, and what should we know?

Ovarian reserve reflects the quality and quantity of available oocytes. This reserve has become indispensable for the better understanding of reproductive potential. Measurement of the serum anti-Müllerian hormone (AMH) level allows quantitative evaluation of ovarian reserve. It has been applied to a wide range of clinical conditions, and it is well established that the measurement of serum AMH levels is more useful than qualitative evaluation based on the menstrual cycle. AMH levels are monitored during infertility treatments; in patients undergoing medically assisted reproductive technology; and in the diagnosis of ovarian failure, polycystic ovarian syndrome, and granulosa cell tumor. It is also useful in the evaluation of iatrogenic ovarian damage. Population-based studies have indicated a potential role for serum AMH in the planning of reproductive health management. While AMH is currently the best measure of ovarian reserve, its predictive value for future live births remains controversial. Furthermore, there is a serious practical issue in the interpretation of test results, as currently available assay kits use different assay ranges and coefficients of variation due to the absence of an international reference standard. The pros and cons of the serum AMH level as a definitive measure of ovarian reserve merits further review in order to guide future research.

The Bologna criteria for poor ovarian response: a contemporary critical appraisal

Postponement of child bearing and maternal age at first pregnancy are on the rise, contributing considerably to an increase in age-related infertility and the demand for assisted reproductive technologies (ART) treatment. This brings to the infertility clinics many women with low ovarian reserve and poor ovarian response (POR) to conventional stimulation. The Bologna criteria were released to standardize the definition of POR and pave the way for the formulation of evidence-based, efficient modalities of treatment for women undergoing IVF-ET. More than four years have passed since the introduction of these criteria and the debate is still ongoing whether a revision is due. Women with POR comprise several sub-groups with diverse baseline distinctiveness, a major issue that has fueled the discussion. Although antral follicle count (AFC) and anti-Müllerian hormone (AMH), are considered good predictors of ovarian reserve, their threshold values are still not universally standardized. Different definitions for sonographic AFC and diverse assays for AMH are held responsible for this delay in standardization. Adding established risk factors to the criteria will lead to more reliable and reproducible definition of a POR, especially in young women. The original criteria did not address the issue of oocyte quality, and the addition of risk factors may yield specific associations with quality vs. quantity. Patient’s age is the best available criterion, although limited, to predict live-birth and presumably oocyte quality. High scale studies to validate these criteria are still missing while recent evidence raises concern regarding over diagnosis.

Gonadotropin-releasing hormone agonist trigger in oocyte donors co-treated with a gonadotropin-releasing hormone antagonist: a dose-finding study

OBJECTIVE

To determine the optimal GnRH agonist dose for triggering of oocyte maturation in oocyte donors.

DESIGN

Single-center, randomized, parallel, investigator-blinded trial.

SETTING

IVFMD, My Duc Hospital, Ho Chi Minh City, Vietnam.

PATIENT(S)

One hundred sixty-five oocyte donors (aged 18-35 years, body mass index [BMI] <28 kg/m(2), antimüllerian hormone level >1.25 ng/mL, and antral follicle count ≥6).

INTERVENTION(S)

Ovulation trigger with 0.2, 0.3, or 0.4 mg triptorelin in a GnRH antagonist cycle.

MAIN OUTCOME MEASURE(S)

The primary end point was number of metaphase II oocytes. Secondary end points were fertilization and cleavage rates, number of embryos and top-quality embryos, steroid levels, ovarian volume, and ongoing pregnancy rate (PR) in recipients.

RESULT(S)

There were no significant differences between the triptorelin 0.2, 0.3, and 0.4 mg trigger groups with respect to number of metaphase II oocytes (16.0 ± 8.5, 15.9 ± 7.8, and 14.7 ± 8.4, respectively), embryos (13.2 ± 7.8, 11.7 ± 6.9, 11.8 ± 7.0), and number of top-quality embryos (3.8 ± 2.9, 3.6 ± 3.0, 4.1 ± 3.0). Luteinizing hormone levels at 24 hours and 36 hours after trigger was significantly higher with triptorelin 0.4 mg versus 0.2 mg and 0.3 mg (9.8 ± 7.1 IU/L vs. 7.3 ± 4.1 IU/L and 7.2 ± 3.7 IU/L, respectively; 4.6 ± 3.2 IU/L vs. 3.2 ± 2.3 IU/L and 3.3 ± 2.1 IU/L, respectively. Progesterone level at oocyte pick-up +6 days was significantly higher in the 0.4-mg group (2.2 ± 3.7 ng/ml) versus 0.2 mg (1.1 ± 1.0 ng/ml) and 0.3 mg (1.2 ± 1.6 ng/ml). One patient developed early-onset severe ovarian hyperstimulation syndrome (OHSS).

CONCLUSION(S)

No significant differences between triptorelin doses of 0.2, 0.3, and 0.4 mg used for ovulation trigger in oocyte donors were seen with regard to the number of mature oocytes and top-quality embryos.

CLINICAL TRIAL REGISTRATION NUMBER

NCT02208986.

Cell-free DNA in Human Follicular Microenvironment: New Prognostic Biomarker to Predict in vitro Fertilization Outcomes

Cell-free DNA (cfDNA) fragments, detected in blood and in other biological fluids, are released from apoptotic and/or necrotic cells. CfDNA is currently used as biomarker for the detection of many diseases such as some cancers and gynecological and obstetrics disorders. In this study, we investigated if cfDNA levels in follicular fluid (FF) samples from in vitro fertilization (IVF) patients, could be related to their ovarian reserve status, controlled ovarian stimulation (COS) protocols and IVF outcomes. Therefore, 117 FF samples were collected from women (n = 117) undergoing IVF/Intra-cytoplasmic sperm injection (ICSI) procedure and cfDNA concentration was quantified by ALU-quantitative PCR. We found that cfDNA level was significantly higher in FF samples from patients with ovarian reserve disorders (low functional ovarian reserve or polycystic ovary syndrome) than from patients with normal ovarian reserve (2.7 ± 2.7 ng/μl versus 1.7 ± 2.3 ng/μl, respectively, p = 0.03). Likewise, FF cfDNA levels were significant more elevated in women who received long ovarian stimulation (> 10 days) or high total dose of gonadotropins (≥ 3000 IU/l) than in women who received short stimulation duration (7–10 days) or total dose of gonadotropins < 3000 IU/l (2.4 ± 2.8 ng/μl versus 1.5 ± 1.9 ng/μl, p = 0.008; 2.2 ± 2.3 ng/μl versus 1.5 ± 2.1 ng/μl, p = 0.01, respectively). Finally, FF cfDNA level was an independent and significant predictive factor for pregnancy outcome (adjusted odds ratio = 0.69 [0.5; 0.96], p = 0.03). In multivariate analysis, the Receiving Operator Curve (ROC) analysis showed that the performance of FF cfDNA in predicting clinical pregnancy reached 0.73 [0.66–0.87] with 88% specificity and 60% sensitivity. CfDNA might constitute a promising biomarker of follicular micro-environment quality which could be used to predict IVF prognosis and to enhance female infertility management.

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.

Recent progress in the utility of anti-Müllerian hormone in female infertility

PURPOSE OF REVIEW

To discuss the recent developments in the utility of anti-Müllerian hormone (AMH) in the context of female infertility.

RECENT FINDINGS

AMH measurements have entered the clinical practice in counseling of women before in-vitro fertilization (IVF) treatment. AMH measurements can predict both poor and hyperresponse, and can enable clinicians to individualize the treatment strategies. In natural conception, AMH is a good predictor of age at menopause, but it is unclear whether AMH correlates with the fecund ability in the normal population. AMH has also proven its utility in the assessment of ovarian damage due to gonadotoxic treatment or ovarian surgery. Lastly, AMH might assist in the initial diagnosis of oligomenorrhea or amenorrhea, as high levels of AMH are suggestive of polycystic ovarian syndrome and seem to correlate with the severity of the syndrome.

SUMMARY

AMH is a glycoprotein secreted by the granulosa cells of small growing follicles and indirectly reflects the primordial follicle pool. The ovaries contain a limited number of primordial follicles and their depletion marks the menopause. Thus, the remaining primordial follicle pool is referred to as the ovarian reserve. The clearest data for the clinical utility of AMH is in the context of IVF. The support for other indications is weaker, but rapidly increasing.