Total number of oocytes and zygotes are predictive of live birth pregnancy in fresh donor oocyte in vitro fertilization cycles

[Impact of donor parity on oocyte donation outcomes]

OBJECTIVES

Since 2015, in France, men and women who have never procreated are allowed to donate their gametes. This has led to an increase in the number of female oocyte donors, whereas there are many couples waiting for gametes that have a long waiting time. The aim of this study is to compare the results of donation with oocytes from nulliparous and non-nulliparous donors.

METHODS

Monocentric retrospective observational study (Lille University Hospital) between January 1st, 2016 and December 31st, 2019. Phenotypic characteristics and clinical and biological outcomes of oocytes donations were compared according to donor parity (nulliparous versus primiparous or multiparous).

RESULTS

One hundred and eighty-five donors (66 nulliparous and 119 non-nulliparous) were included in the study, allowing 284 ICSI cycles to be performed in recipient couples. On average, 11.5 oocytes were obtained per donation cycle, of which 7.8 were mature. In total, 4.6 mature oocytes were obtained per attempt and per recipient couple. Nulliparous donors are younger than non-nulliparous ones. An early pregnancy was obtained in 55.6% of the nulliparous donors and in 50.8% of the non-nulliparous donors (P=0.55). A progressive pregnancy was obtained in 49.2% of the nulliparous women and in 42.1% of the non-nulliparous women (P=0.36). There was therefore no difference in terms of early pregnancy and ongoing pregnancy whether the donation came from a nulliparous or non-nulliparous woman.

CONCLUSION

Donor parity does not seem to have an impact on the success of oocyte donation attempts.

An artificial intelligence-based approach for selecting the optimal day for triggering in antagonist protocol cycles

RESEARCH QUESTION

Can a machine-learning model suggest an optimal trigger day (or days), analysing three consecutive days, to maximize the number of total and mature (metaphase II [MII]) oocytes retrieved during an antagonist protocol cycle?

DESIGN

This retrospective cohort study included 9622 antagonist cycles between 2018 and 2022. The dataset was divided into training, validation and test sets. An XGBoost machine-learning algorithm, based on the cycles' data, suggested optimal trigger days for maximizing the number of MII oocytes retrieved by considering the MII predictions, prediction errors and outlier detection results. Evaluation of the algorithm was conducted using a test dataset including three quality groups: 'Freeze-all oocytes', 'Fertilize-all' and 'ICSI-only' cycles. The model suggested 1, 2 or 3 days as trigger options, depending on the difference in potential outcomes. The suggested days were compared with the actual trigger day chosen by the physician and were labelled 'concordant' or 'discordant' in terms of agreement.

RESULTS

In the 'freeze-all' test-set, the concordant group showed an average increase of 4.8 oocytes and 3.4 MII oocytes. In the 'ICSI-only' test set there was an average increase of 3.8 MII oocytes and 1.1 embryos, and in the 'fertilize-all' test set an average increase of 3.6 oocytes and 0.9 embryos was observed (P < 0.001 for all parameters in all groups).

CONCLUSIONS

Utilizing a machine-learning model for determining the optimal trigger days may improve antagonist protocol cycle outcomes across all age groups in freeze-all or fresh transfer cycles. Implementation of these models may more accurately predict the number of oocytes retrieved, thus optimizing physicians' decisions, balancing workloads and creating more standardized, yet patient-specific, protocols.

Development and validation of a nomogram for predicting ongoing pregnancy in single vitrified-warmed blastocyst embryo transfer cycles

Introduction

The global adoption of the "freeze-all strategy" has led to a continuous increase in utilization of single vitrified-warmed blastocyst embryo transfer (SVBT) owing to its clinical effectiveness. Accurate prediction of clinical pregnancy is crucial from a patient-centered perspective. However, this remains challenging, with inherent limitations due to the absence of precise and user-friendly prediction tools. Thus, this study primarily aimed to develop and assess a nomogram based on quantitative clinical data to optimize the efficacy of personalized prognosis assessment.

Materials and methods

We conducted a retrospective cohort analysis of ongoing pregnancy data from 658 patients with infertility who underwent SVBT at our center between October 17, 2017, and December 18, 2021. Patients were randomly assigned to the training (n=461) or validation (n=197) cohort for nomogram development and testing, respectively. A nomogram was constructed using the results of the multivariable logistic regression (MLR), which included clinical covariates that were assessed for their association with ongoing pregnancy.

Results

The MLR identified eight significant variables that independently predicted ongoing pregnancy outcomes in the study population. These predictors encompassed maternal physiology, including maternal age at oocyte retrieval and serum anti-Müllerian hormone levels; uterine factors, such as adenomyosis; and various embryo assessment parameters, including the number of fertilized embryos, blastocyst morphology, blastulation day, blastocyst re-expansion speed, and presence of embryo string. The area under the receiver operating characteristic curve in our prediction model was 0.675 (95% confidence interval [CI], 0.622-0.729) and 0.656 (95% CI, 0.573-0.739) in the training and validation cohorts, respectively, indicating good discrimination performance in both cohorts.

Conclusions

Our individualized nomogram is a practical and user-friendly tool that can provide accurate and useful SVBT information for patients and clinicians. By offering this model to patients, clinical stakeholders can alleviate uncertainty and confusion about fertility treatment options and enhance patients' confidence in making informed decisions.

The Relationship between Number of Supernumerary Blastocysts Cryopreserved and Probability of a Live Birth Outcome after Single Fresh Blastocyst Transfer: Analysis of over 10 Thousand Cycles

The ability to predict the likelihood of a live birth after single fresh embryo transfer is an important part of fertility treatment. While past studies have examined the likelihood of live birth based on the number of oocytes retrieved and cleavage-stage embryos available, the odds of a live birth based on the number of supernumerary blastocysts cryopreserved following a fresh embryo transfer has not been rigorously studied. We performed a retrospective analysis, stratified by age, on patients undergoing their first fresh autologous single day 5 blastocyst transfer to assess relationship between the likelihood of a live birth and number of supernumerary blastocysts cryopreserved. In patients aged <35 years and 35-39 years old, the likelihood of a live birth increased linearly between 1 and 6 supplementary blastocysts and non-linearly if 10 or more blastocysts were cryopreserved. When aged 40 years and above, the likelihood of a live birth increased linearly up to 4 cryopreserved blastocysts and then non-linearly if 10 or more blastocysts were cryopreserved. The present study demonstrated a non-linear relationship between the number of supernumerary blastocysts cryopreserved and the likelihood of a live birth after single blastocyst transfer in the first autologous fresh IVF/ICSI cycle across different age groups.

Impact of Indication for Oocyte and Embryo Reception on Reproductive and Obstetric Outcomes

OBJECTIVES

This study aimed to assess if the indication for oocyte reception (OR) or embryo reception (ER) impacts the reproductive and obstetric outcomes by evaluating our experience at a tertiary fertility centre and by performing a literature review on this subject. Several previous studies have reported that, in contrast to other types of fertility treatment, the indication for OR/ER seems to have little impact on the outcomes. However, the compared indication groups vary considerably between these studies, and some data indicates worse outcomes in patients who developed premature ovarian insufficiency (POI) due to Turner syndrome or treatment with chemotherapy/radiotherapy.

DESIGN

A retrospective analysis of all cases of OR/ER at a tertiary fertility centre from 2001 until 2020 was conducted. We analysed 584 cycles from 194 individual patients. A literature review on the impact of indication on reproductive or obstetric outcomes of OR/ER was performed using the following databases: PubMed/MEDLINE, Embase, and the Cochrane Library. A total of 27 studies were included and analysed.

PARTICIPANTS, SETTING, METHODS

For the retrospective analysis, patients were divided into three major indication groups: failure of autologous assisted reproductive technology, POI, and genetic disease carrier. To assess reproductive outcomes, we determined pregnancy rate, implantation rate, miscarriage rate, and live birth rate. For comparing obstetric outcomes, we reviewed the term of birth, mode of delivery, and birthweight. Outcomes were compared using Fisher's exact test, χ2 test, and one-way ANOVA utilizing the GraphPad tool.

RESULTS

There were no significant differences in reproductive and obstetric outcomes between the three major indication groups in our population, in line with the findings reported by existing literature. Data on impaired reproductive outcomes in patients with POI after chemotherapy/radiotherapy are conflicting. Obstetrically, these patients are at higher risk of preterm birth and possibly also low birthweight, especially after abdomino-pelvic or total body irradiation. For patients with POI due to Turner syndrome, most data suggest similar pregnancy rates but a higher rate of pregnancy loss, and obstetrically an increased risk of hypertensive disorders and caesarean section.

LIMITATIONS

The small number of patients in the retrospective analysis resulted in low statistical power when evaluating differences between smaller subgroups. There were some missing data on the occurrence of complications during pregnancy. Our analysis covers a period of 20 years, during which several technological innovations have also been made.

CONCLUSIONS

Our study shows that the important heterogeneity in couples treated with OR/ER does not significantly impact their reproductive or obstetric outcomes, except for POI due to Turner syndrome or treatment with chemotherapy/radiotherapy, where there seems to be an important uterine/endometrial component that cannot be entirely overcome by providing a healthy oocyte.

Pregnancy outcome and follow-up of offspring of donor oocytes recipient from PCOS patients

Background

The use of donated oocytes (DO) for in vitro fertilization(IVF) treatment in patients with infertility is generally recognized, and females with polycystic ovarian syndrome (PCOS) can participate in oocyte donation programs as donor patients. However, the pregnancy outcomes and offspring follow-up in patients with PCOS as the recipients are unclear. This study was to compare the pregnancy outcomes and follow-up of offspring in PCOS and non-PCOS receptor.

Methods

This was a retrospective cohort study of 62 patients undergoing the oocyte reception program were separated into 2 groups: Group I, PCOS oocyte recipients (n = 30); Group II, non-PCOS recipients (n = 32). Medical records were reviewed, and rates of fertilization, cleavage, high-quality embryos and blastocysts were compared between PCOS and non-PCOS groups. Rates of implantation, pregnancy, ectopic pregnancy, early abortion, multiple pregnancies, and offspring outcomes were calculated using the first single vitrified-warmed blastocyst transfer (SVBT) analysis between the groups.

Results

The average recipient age and body mass index (BMI) of PCOS and non-PCOS patients was (36.3 ± 2.6 vs. 36.2 ± 2.8, and 23.4 ± 3.9 vs. 23.7 ± 4.0), respectively (P > 0.05). The fertilization, cleavage, high-quality embryos and blastocyst rates were not significantly different between the PCOS and non-PCOS groups. Rates of implantation, pregnancy, ectopic pregnancy, early abortion, and multiple pregnancies were not significantly different in SVBT between the PCOS and non-PCOS groups. The incidence of complications, such as pre-eclampsia or gestational diabetes, between PCOS and non-PCOS groups was similar (11.8% vs.11.1%, 5.9% vs.5.5%; P > 0.05). Preterm births were also similar (11.8% vs.16.7%, P > 0.05). Donor oocytes are more likely to be delivered via cesarean Sect. (80.0% vs. 86.7%: P > 0.05). The mean gestational age, birth weight, and height were comparable between the 2 groups during full-term delivery.

Conclusion

There was no difference in the pregnancy outcomes and follow-up of the offspring between the PCOS and non-PCOS groups.

An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation

OBJECTIVE

To develop an interpretable machine learning model for optimizing the day of trigger in terms of mature oocytes (MII), fertilized oocytes (2PNs), and usable blastocysts.

DESIGN

Retrospective study.

SETTING

A group of three assisted reproductive technology centers in the United States.

PATIENT(S)

Patients undergoing autologous in vitro fertilization cycles from 2014 to 2020 (n = 30,278).

INTERVENTION(S)

None.

MAIN OUTCOME MEASURE(S)

Average number of MII oocytes, 2PNs, and usable blastocysts.

RESULT(S)

A set of interpretable machine learning models were developed using linear regression with follicle counts and estradiol levels. When using the model to make day-by-day predictions of trigger or continuing stimulation, possible early and late triggers were identified in 48.7% and 13.8% of cycles, respectively. After propensity score matching, patients with early triggers had on average 2.3 fewer MII oocytes, 1.8 fewer 2PNs, and 1.0 fewer usable blastocysts compared with matched patients with on-time triggers, and patients with late triggers had on average 2.7 fewer MII oocytes, 2.0 fewer 2PNs, and 0.7 fewer usable blastocysts compared with matched patients with on-time triggers.

CONCLUSION(S)

This study demonstrates that it is possible to develop an interpretable machine learning model for optimizing the day of trigger. Using our model has the potential to improve outcomes for many in vitro fertilization patients.

VEGF Concentration in a Preovulatory Leading Follicle Relates to Ovarian Reserve and Oocyte Maturation during Ovarian Stimulation with GnRH Antagonist Protocol in In Vitro Fertilization Cycle

Serum vascular endothelial growth factor (VEGF) is involved in follicular vascularization, oxygenation, and consequently in oocyte maturation and embryo development. Unanswered questions remain regarding the relationship of intrafollicular VEGF level in preovulatory leading follicles to oocyte maturation and ovarian reserve during ovarian stimulation. We conducted this study to investigate the relationship of intrafollicular VEGF level in the fluid of single preovulatory leading follicles to ovarian reserve and oocyte maturation in patients receiving GnRH antagonist in vitro fertilization (IVF) protocol treatment. One hundred and eighty-five patients receiving IVF treatment were recruited and assigned to low-, normal-, and high-ovarian-reserve groups according to their serum anti-Müllerian hormone (AMH) level. Follicular fluid (FF) in preovulatory leading follicles, serum profiles, and clinical variables were collected for analysis. The result disclosed a significant among-group difference in FF VEGF concentration. Moreover, the serum AMH level was also negatively correlated with FF VEGF level. The oocyte maturation rate tended to be increased at higher AMH levels. FF VEGF concentration was significantly positively correlated with basal FSH level. In conclusion, FF VEGF concentration has a negative association with ovarian reserve level and oocyte maturation rate in patients undergoing GnRH antagonist IVF protocols.

A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes

OBJECTIVE

To determine whether a machine learning causal inference model can optimize trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable blastocysts for a given cohort of stimulated follicles.

DESIGN

Descriptive and comparative study of new technology.

SETTING

Tertiary academic medical center.

PATIENT(S)

Patients undergoing IVF with intracytoplasmic sperm injection from 2008 to 2019 (n = 7,866).

INTERVENTION(S)

Causal inference was performed with the use of a T-learner. Bagged decision trees were used to perform inference. The decision was framed as either triggering on that day or waiting another day. All patient characteristics and stimulation parameters on a given day were used to determine the recommendation.

MAIN OUTCOME MEASURE(S)

Average outcome improvement in total 2PNs and usable blastocysts compared with the physician's decision.

RESULT(S)

For evaluation of average outcome improvement on 2PNs, the benefit of following the model's recommendation was 3.015 (95% CI 2.626, 3.371) more 2PNs. For total usable blastocysts, the benefit was 1.515 (95% CI 1.134, 1.871) more usable blastocysts. Given that the physicians-model agreement was 52.57% and 61.89%, respectively, algorithm-assisted trigger decisions yield, on average, 1.430 more 2PNs and 0.577 more total usable blastocysts per stimulation. The most important features weighted in the model's decision were the number of follicles 16-20 mm in diameter, the number of follicles 11-15 mm in diameter, and estradiol level, in that order.

CONCLUSION(S)

The use of this machine learning algorithm to optimize trigger injection timing may lead to a significant increase in the number of 2PNs and total usable blastocysts obtained from an IVF stimulation cycle when compared with physician decisions. Future research is required to confirm these findings prospectively.

Factors predicting clinical outcomes from 494 vitrified oocyte donation cycles at a UK-regulated egg bank

RESEARCH QUESTION

Do donor age, AMH, AFC, BMI and reproductive history predict response to ovarian stimulation? Do donor and recipient clinical markers and embryology parameters predict recipient pregnancy and live birth?

DESIGN

Retrospective cohort study of 494 altruistic oocyte donors aged 18-35 years; 340 were matched to 559 recipients. Predictors of donor total oocyte yield and total mature oocyte yield were identified. Total and mature oocyte number were compared according to stratified donor AMH and age. Donor, recipient and embryology parameters predictive of recipient primary outcomes (clinical pregnancy and live birth) were identified.

RESULTS

Donor age and AMH predicted total oocyte yield (P = 0.030 and P < 0.001)) and total mature oocyte yield (P = 0.011 and P < 0.001). Donors aged 30-35 years with AMH 15-29.9 pmol/l had lower total oocyte yield (P = 0.004) and mature oocyte yield (P < 0.001) than donors aged 18-24 years. Up to an AMH threshold of 39.9 pmol/l, increasing AMH levels predicted higher total oocyte yield (<15 pmol/l versus 15-29.9 pmol/l, P = 0.001; 15-29.9 pmol/l versus 30-39.9 pmol/l, P < 0.001; 30-39.9pmol/l versus ≥ 40 pmol/l, P = 1.0) and mature oocyte yield (<15 pmol/l versus 15-29.9 pmol/l, P = 0.005; 15-29.9 pmol/l versus 30-39.9 pmol/l, P = 0.006; 30-39.9 pmol/l versus ≥40 pmol/l, P = 1.0). In recipients, the rate of transferrable embryos per oocytes received, fertilized and number of embryo transfers needed to achieve the primary outcome were predictors of cumulative clinical pregnancy (P = 0.011, P = 0.017 and P < 0.001) and live birth (P = 0.008, P = 0.012 and P < 0.001) rates. Recipient BMI (P = 0.024) and previous miscarriages (P = 0.045) were predictors of cumulative live birth rate. Donor age 18-22 years was associated with a lower incidence of recipient clinical pregnancy (P = 0.004) and live birth (P = 0.001) after the first embryo transfer versus donor age 23-29 years.

CONCLUSIONS

Donor age and AMH are independent predictors of oocyte yield. Raised recipient BMI and history of miscarriages reduce cumulative live birth rates, which may be increased by selecting donors aged 23-29 years, instead of younger donors.

The ratio of exogenous Luteinizing hormone to Follicle stimulating hormone administered for controlled ovarian stimulation is associated with oocytes' number and competence

We performed a retrospective study aiming to study the relationship between the ratio of the exogenous luteinizing hormone to follicle stimulating hormone (LH/FSH) administrated for controlled ovarian stimulation (COS) and the number and competence of the oocytes retrieved for in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI). Eight hundred sixty-eight consecutive infertile patients (mean age 34.54 ± 4.01 years, mean anti-Müllerian hormone (AMH) 2.94 ± 2.07 ng/ml) treated with long agonist protocol and a mixed gonadotropin protocol (human menopausal gonadotropin in association with recombinant FSH (recFSH)) who performed IVF/ICSI between January 2013 and February 2016, were included. Patients with severe male factor were excluded. LH/FSH was calculated based on total doses of the two gonadotropins. We found, after adjustment for confounders, a positive relationship between LH/FSH and the retrieved oocytes’ (β = 0.229, P<0.0001) and zygotes’ number (β = 0.144, P<0.0001) in the entire study group and in subgroups according to age (<35 and ≥35 years) and ovarian reserve (AMH < 1.1 and ≥ 1.1 ng/ml). The fertilization rate was positively associated with LH/FSH in patients with LH/FSH in the lowest three quartiles (below 0.77) (β = 0.096, P=0.034). However, patients in the fourth quartile of LH/FSH had a lower fertilization rate as compared with patients in quartiles 1–3 which, after adjustment for covariates, was only marginally negatively related with LH/FSH (β = −0.108, P=0.05). In conclusion, our results suggest that the adequate LH/FSH administrated during COS can improve the oocytes’ and zygotes’ number in IVF/ICSI cycles, but also the fertilization rate when a certain proportion of LH/FSH is not exceeded.

Is It Possible to Expand Oocyte Donors by Decreasing Number of Oocytes for Own Use? Insights From a Large Single-Center Study

BACKGROUND

Currently, in China, only women undergoing in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycles can donate oocytes to others, but at least 15 oocytes must be kept for their own treatment. Thus, the aim of this study was to determine whether oocyte donation compromises the cumulative live birth rate (CLBR) of donors and whether it is possible to expand oocyte donors' crowd.

METHODS

This was a retrospective cohort study from August 2015 to July 2017 including a total of 2,144 patients, in which 830 IVF-embryo transfer (IVF-ET) patients were eligible for oocyte donation and 1,314 patients met all other oocyte donation criteria but had fewer oocytes retrieved (10-17 oocytes). All 830 patients were advised to donate approximately three to five oocytes to others and were eventually divided into two groups: the oocyte donation group (those who donated) and the control group (those who declined). The basic patient parameters and CLBR, as well as the number of supernumerary embryos after achieving live birth, were compared. These two factors were also compared in all patients (2,144) with oocyte ≥10.

RESULTS

In 830 IVF-ET patients who were eligible for oocyte donation, only the oocyte number was significantly different between two groups, and the donation group had more than the control group (25.49 ± 5.76 vs. 22.88 ± 5.11, respectively; p = 0.09). No significant differences were found between the two groups in other factors. The results indicate that the live birth rate in the donation group was higher than that in the control group (81.31% vs. 82.95%, p = 0.371), without significance. In addition, CLBR can still reach as high as 73% when the oocyte number for own use was 10. Supernumerary embryos also increased as the oocyte number increased in all patients (oocyte ≥10).

CONCLUSIONS

Currently, oocyte donation did not compromise CLBR, and oocyte donation can decrease the waste of embryos. In addition, in patients with 10 oocytes retrieved, the CLBR was still good (73%). Thus, it is possible to expand oocyte donors if the number of oocyte kept for own use was decreased from 15 to 10 after enough communication with patients.

The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis

It is well known that the transfer of embryos at the blastocyst stage is superior to the transfer of embryos at the cleavage stage in many respects. However, the rate of blastocyst formation remains low in clinical practice. To reduce the possibility of wasting embryos and to accurately predict the possibility of blastocyst formation, we constructed a nomogram based on range of clinical characteristics to predict blastocyst formation rates in patients with different types of infertility. We divided patients into three groups based on female etiology: a tubal factor group, a polycystic ovary syndrome group, and an endometriosis group. Multiple logistic regression was used to analyze the relationship between patient characteristics and blastocyst formation. Each group of patients was divided into a training set and a validation set. The training set was used to construct the nomogram, while the validation set was used to test the performance of the model by using discrimination and calibration. The area under the curve (AUC) for the three groups indicated that the models performed fairly and that calibration was acceptable in each model.

Comparison of Cumulative Live Birth Rates Between GnRH-A and PPOS in Low-Prognosis Patients According to POSEIDON Criteria: A Cohort Study

OBJECTIVE

To compare the cumulative live birth rate (CLBR) of a gonadotropin-releasing hormone (GnRH) antagonist regimen and a progestin-primed ovarian stimulation (PPOS) regimen in low-prognosis patients according to POSEIDON criteria.

DESIGN

Single-center, retrospective, observational study.

SETTING

Henan Provincial People's Hospital, Zhengzhou, China.

PATIENTS

Women aged ≤40 years, with a body mass index <25 kg/m², who underwent in vitro fertilization (IVF) or intracytoplasmic sperm microinjection (ICSI) and met POSEIDON low-prognosis criteria.

INTERVENTION

GnRH or PPOS regimen with IVF or ICSI.

MAIN OUTCOME MEASURE

CLBR per oocyte retrieval cycle.

RESULTS

Per oocyte retrieval cycle, CLBR was significantly higher with GnRH antagonist versus PPOS (35.3% vs 25.2%; P<0.001). In multivariable logistic regression analysis, CLBR per oocyte retrieval cycle was significantly lower with PPOS versus GnRH antagonist before (OR 0.62 [95% confidence intervals (CI): 0.46, 0.82; P=0.009]) and after (OR 0.66 [95% CI: 0.47, 0.93; P=0.0172]) adjustment for age, body mass index, infertility type, infertility duration, baseline follicle stimulating hormone, anti-Müllerian hormone (AMH), antral follicle count (AFC), and insemination method. CLBR was numerically higher with the GnRH antagonist regimen than with PPOS, across all of the POSEIDON groups, and was significantly higher in patients aged ≥35 years with poor ovarian reserve [AFC <5, AMH <1.2 ng/mL] (unadjusted, P=0.0108; adjusted, P=0.0243).

CONCLUSION

In this single-center, retrospective, cohort study, patients had a higher CLBR with a GnRH antagonist versus PPOS regimen, regardless of other attributes.

Length of ovarian stimulation does not impact live birth rate in fresh donor oocyte cycles: a SART CORS study

PURPOSE

To evaluate the effect of controlled ovarian hyperstimulation length and total gonadotropin (GN) dose on recipient live birth rate (LBR) in fresh donor oocyte cycles.

METHODS

Data was obtained from SART CORS on all fresh donor oocyte GnRH antagonist cycles (n = 1049) between 2014 and 2015 which resulted in a single embryo transferred. Donor and recipient demographic information and cycle characteristics were extracted. Binomial regression was used to estimate LBR with respect to days of stimulation (DOS) and total GN dose. Multivariate analysis was performed to evaluate these relationships after controlling for confounders.

RESULTS

Overall LBR in fresh donor oocyte cycles was 57%. Average stimulation length was 14.3 ± 4.9 days, and total GN dose was 2464 ± 1062 IU. On univariate analysis, neither days of stimulation (p = 0.5) nor total GN dose (p = 0.57) was independently correlated with LBR. However, in prolonged stimulations (> 15 days) with high total GN dose (> 3000 IU), as both the cycle length and total GN dose increased, LBR significantly decreased from 63.81 to 48.15% (p = 0.02) and from 67.61 to 48.15% (p = 0.01), respectively. Multivariate analysis showed no significant effect of either DOS or total GN dose on LBR.

CONCLUSIONS

LBR is significantly decreased in fresh donor oocyte cycles when cycles are prolonged with high total GN dose. However, after controlling for confounders neither DOS nor total GN dose significantly affects LBR.

Total follicle stimulating hormone dose is negatively correlated with live births in a donor/recipient model with fresh transfer: an analysis of 8,627 cycles from the Society for Assisted Reproductive Technology Registry

OBJECTIVE

Oocyte donation has optimized our understanding of ovarian stimulation. Increasing the follicle-stimulating hormone (FSH) dose has been shown to adversely affect live birth rates in autologous cycles. Our objective is to assess whether this relationship holds true within the donor/recipient population.

DESIGN

Retrospective cohort study.

SETTING

Not applicable.

PATIENTS

Data from 2014-2016 included 8,627 fresh donor cycles.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Live birth, clinical pregnancy, and miscarriage rates.

RESULTS

The mean donor age ± standard deviation (SD) was 25.8 ± 2.8 years. Donors underwent a median of 16 days (interquartile range [IQR] 12, 19) of stimulation with a median (IQR) total FSH dose and daily dose of 2,350.0 (1,800.0, 3,025.0) and 153.8 (113.2, 205.0) IU, respectively. The live birth rate was 56.7% per transfer. For every 500-unit increase in FSH dose, there was a 3% reduction in the odds of a live birth (odds ratio [OR] 0.97; 95% confidence interval 0.95, 0.99), and a 3% reduction in the odds of a clinical pregnancy (OR 0.97; 95% confidence interval 0.95, 0.99). Days of stimulation and average daily dose were not significantly associated with live birth or clinical pregnancy. No significant association was found between miscarriage rates and total FSH dose, days of stimulation, or average daily dose.

CONCLUSION

This is a novel report of a negative association of total FSH dosage on fresh IVF live births, performed in the donor population to control for oocyte source and endometrial receptivity.

A mediation analysis for a nonrare dichotomous outcome with sequentially ordered multiple mediators

Mediation analyses can help us to understand the biological mechanism in which an exposure or treatment affects an outcome. Single mediator analyses have been used in various applications, but may not be appropriate for analyzing intricate mechanisms involving multiple mediators that affect each other. Thus, in this article, we studied multiple sequentially ordered mediators for a dichotomous outcome and presented the identifiability assumptions for the path-specific effects on the outcome, that is, the effect of an exposure on the outcome mediated by a specific set of mediators. We proposed a closed-form estimator for the path-specific effects by modeling the dichotomous outcome using a probit model. Asymptotic variance of the proposed estimator is derived and can be approximated via delta method or bootstrapping. Simulations under a finite sample showed the validity of our method in capturing the path-specific effects when the probability of each potential counterfactual outcome is not small and demonstrated the utility of a computationally efficient alternative to bootstrapping for calculating variance. The method is applied to investigate the effects of polycystic ovarian syndrome on live birth rates mediated by estradiol levels and the number of oocytes retrieved in a large electronic in vitro fertilization database. We implemented the method into an R package SOMM, which is available at https://github.com/roqe/SOMM.

Predictive factors for successful pregnancy in an egg-sharing donation program

Objective

To investigate the predictive factors for successful pregnancy in oocyte recipient ICSI cycles in an egg-sharing donation program.

Methods

Analysed data were obtained via chart review of 1505 vitrified oocytes donated from 268 patients to 225 oocyte recipients, undergoing 307 ICSI cycles. Patients were participating in an egg-sharing donation program between January 2015 and May 2017. Adjusted generalised linear models were used to investigate the impact of oocyte donor and recipient characteristics on recipients’ pregnancy achievement.

Results

Implantation rate in the oocyte donor was highly correlated with pregnancy achievement in the oocyte recipient’s cycles (ExpB: 1.181, CI: 1.138-1.226, p<0.001). The ROC curve analysis demonstrated that the implantation rate in the oocyte donor has a strong predictive value for pregnancy success in the oocyte recipient (area under the curve: 0.98, CI: 0.95-0.99, p<0.001). Pregnancy in oocyte donors and recipients were highly associated (ExpB: 54.6, CI: 28.1-105.8, p<0.001), regardless of the oocyte recipient’s age. In oocyte recipients, the high-quality embryos rates on days 2 (ExpB: 3.397, CI: 1.635-7.054, p=0.001) and 3 (ExpB: 6.629, CI: 1.185-37.092, p=0.031), and blastocyst development rates (ExpB: 2.331, CI: 1.086-5.001, p=0.030) were positively associated with pregnancy outcome.

Conclusion

The strong association in pregnancy success between donors and recipients, and the lack of correlation between donor characteristics and cycles’ outcomes, demonstrate the power of oocyte quality on the success of ICSI treatment.

Effect of oocyte donor stimulation on recipient outcomes: data from a US national donor oocyte bank

STUDY QUESTION

How does ovarian stimulation in an oocyte donor affect the IVF cycle and obstetric outcomes in recipients?

SUMMARY ANSWER

Higher donor oocyte yields may affect the proportion of usable embryos but do not affect live birth delivery rate or obstetric outcomes in oocyte recipients.

WHAT IS KNOWN ALREADY

In autologous oocyte fresh IVF cycles, the highest live birth delivery rates occur when ~15-25 oocytes are retrieved, with a decline thereafter, perhaps due to the hormone milieu, with super-physiologic estrogen levels. There are scant data in donor oocyte cycles, wherein the oocyte environment is separated from the uterine environment.

STUDY DESIGN, SIZE, DURATION

This was a retrospective cohort study from 2008 to 2015 of 350 oocyte donors who underwent a total of 553 ovarian stimulations and oocyte retrievals. The oocytes were vitrified and then distributed to 989 recipients who had 1745 embryo transfers. The primary outcome was live birth delivery rate, defined as the number of deliveries that resulted in at least one live birth per embryo transfer cycle.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The study included oocyte donors and recipients at a donor oocyte bank, in collaboration with an academic reproductive endocrinology division. Donors with polycystic ovary syndrome and recipients who used gestational carriers were excluded. The donors all underwent conventional ovarian stimulation using antagonist protocols. None of the embryos underwent pre-implantation genetic testing. The average (mean) number of embryos transferred to recipients was 1.4 (range 1-3).

MAIN RESULTS AND THE ROLE OF CHANCE

Per ovarian stimulation cycle, the median number of oocytes retrieved was 30 (range: 9-95). Among the 1745 embryo transfer cycles, 856 of the cycles resulted in a live birth (49.1%). There were no associations between donor oocyte yield and probability of live birth, adjusting for donor age, BMI, race/ethnicity and retrieval year. The results were similar when analyzing by mature oocytes. Although donors with more oocytes retrieved had a higher number of developed embryos overall, there was a relatively lower percentage of usable embryos per oocyte warmed following fertilization and culture. In our model for the average donor in the data set, holding all variables constant, for each additional five oocytes retrieved, there was a 4% (95% CI 1%, 7%) lower odds of fertilization and 5% (95% CI 2%, 7%) lower odds of having a usable embryo per oocyte warmed. There were no associations between donor oocyte yield and risk of preterm delivery (<37 weeks gestation) and low birthweight (<2500 g) among singleton infants.

LIMITATIONS, REASONS FOR CAUTION

Ovarian stimulation was exclusively performed in oocyte donors. This was a retrospective study design, and we were therefore unable to ensure proportional exposure groups. These findings may not generalizable to older or less healthy women who may be vitrifying oocytes for planned fertility delay. There remain significant risks to aggressive ovarian stimulation, including ovarian hyperstimulation. In addition, long-term health outcomes of extreme ovarian stimulation are lacking. Lastly, we did not collect progesterone levels and are unable to evaluate the impact of rising progesterone on outcomes.

WIDER IMPLICATIONS OF THE FINDINGS

Live birth delivery rates remain high with varying amounts of oocytes retrieved in this donor oocyte model. In a vitrified oocyte bank setting, where oocytes are typically sent as a limited number cohort, recipients are not affected by oocyte yields.

STUDY FUNDING/COMPETING INTEREST(S)

Additional REDCap grant support at Emory was provided through UL1 TR000424. Dr. Audrey Gaskins was supported in part by a career development award from the NIEHS (R00ES026648).

Inhibin A-A Promising Predictive Parameter for Determination of Final Oocyte Maturation in Ovarian Stimulation for IVF/ICSI

The number of mature oocytes is a key factor in the success of Assisted Reproductive Techniques (ART). Exogenous gonadotropins are administered during ovarian stimulation in order to maximize the number of oocytes available for fertilization. During stimulation, monitoring is mandatory to evaluate individual response, to avoid treatment complications and assist in the determination of the optimal day for final oocyte maturation and oocyte retrieval. Routine monitoring during stimulation includes transvaginal ultrasound examinations and measurement of serum estradiol (E2). Due to multifollicular growth of follicles of varying size, serum E2 levels are commonly supraphysiological and often variable, rendering E2-measurement during ovarian stimulation unreliable as a determinant of oocyte maturity. In contrast to serum E2, serum Inhibin A levels increase once a minimum follicle size of 12-15 mm is achieved. Due to this fact, serum Inhibin A levels could present in combination with ultrasound monitoring a more reliable parameter to determine the optimal follicle size for final oocyte maturation, as only follicles with a size of 12 mm and beyond will contribute to the serum Inhibin A level. This prospective observational, cross-sectional study demonstrates, that on the day of final oocyte maturation serum Inhibin A is strongly correlated to the number of follicles ≥15 mm (0.72) and to the number of retrieved and mature oocytes (ρ 0.82/0.77, respectively), whereas serum E2 is moderately correlated to the parameters mentioned above (ρ 0.64/0.69/0.69, respectively). With an area under the curve (AUC) of 0.91 for Inhibin A, compared to an AUC of 0.84 for E2, Inhibin A can be regarded as a better predictor for the optimal timing of trigger medication with a threshold number of ≥10 mature oocytes. It can be concluded from this data that serum Inhibin A in combination with transvaginal ultrasound monitoring may be a more powerful tool in the decision making process on trigger timing as compared to E2.

The correlation between endometrial thickness and pregnancy outcomes in fresh ART cycles with different age groups: a retrospective study

Background

In assisted reproductive technology (ART) cycles in addition to embryo quality, the receptivity of the endometrium plays the main role in clinical outcomes. Endometrial receptivity is necessary to implantation of an embryo, and ultrasound has been established as an appreciated, simple, and non-invasive technique in the evaluation of the endometrial preparation before embryo transfer in fresh in vitro fertilization (IVF) cycles. Debate on the predictive value measuring endometrial thickness before administering human chorionic gonadotropin (HCG) for ovulation triggering in ART is ongoing. In order to explore the impact of endometrial thickness on triggering day on ongoing pregnancy rate (OPR) in ART cycles, we retrospectively analyzed data from 1000 patients undergoing IVF/ICSI cycles.

Results

The data showed pregnancy rate was increased in the endometrial thickness of 8 mm to 11 mm then decreased, and in endometrial thickness (Ent) > 14 mm, pregnancy rate was zero. There were significant differences in endometrial thickness and pregnancy outcomes between different age groups. The pregnancy rate was higher (32%) in 23–30 years old women, and the range of Ent in this group was 6–12 mm. Also, the data showed a positive correlation between Ent with AMH and estradiol levels and the number of COC and MII oocytes and a negative correlation between female age with Ent.

Conclusion

The result showed that Ent on hCG administration day is associated with pregnancy outcomes in fresh IVF/ICSI cycles with different age groups, although some of the clinical parameters may have an effect on Ent. Large studies are needed to make a definitive conclusion.

Investigating the effect of lifestyle risk factors upon number of aspirated and mature oocytes in in vitro fertilization cycles: Interaction with antral follicle count

INTRODUCTION

There is evidence demonstrating that certain lifestyle factors have a detrimental effect on fertility. Since such factors often coexist, possible synergistic effects merit further investigation. Thus we aimed to examine the cumulative impact of lifestyle factors on in vitro fertilization (IVF) early reproductive treatment outcomes and their interaction with measures of ovarian reserve.

MATERIALS AND METHODS

By following women who were starting their first fresh IVF cycle in 2 cohorts, the "Lifestyle study cohort" (hypothesis generating cohort, n = 242) and the "UppSTART study" (validation cohort, n = 432) in Sweden, we identified two significant risk factors acting independently, smoking and BMI, and then further assessed their cumulative effects.

RESULTS

Women with both these risk factors had an Incidence Rate Ratio (IRR) of 0.75 [(95% CI 0.61-0.94)] regarding the number of aspirated oocytes compared to women without these risk factors. Concerning the proportion of mature oocytes in relation to the total number of aspirated oocytes, the interaction between BMI and Antral Follicle Count (AFC) was significant (p-value 0.045): the lower the value of AFC, the more harmful the effect of BMI with the outcome.

CONCLUSIONS

Data shows that there is an individual as well as a cumulative effect of smoking and BMI on the number of aspirated and mature oocytes in fresh IVF treatment cycles. AFC might modify associations between BMI and the proportion of mature oocytes in relation to the total number of aspirated oocytes. These results highlight the importance of lifestyle factors on IVF early reproductive outcomes and provide additional evidence for the importance of preconception guidance for the optimization of IVF cycle outcome.

Is there an association between oocyte number and embryo quality? A systematic review and meta-analysis

This systematic review and meta-analysis determined the association between aspirated after ovarian stimulation and top/good quality embryos obtained in women undergoing ovarian stimulation for IVF/intracytoplasmic sperm injection (ICSI). MEDLINE, EMBASE, Scopus, CINAHL and Web of Science were searched for English-language publications on top/good-quality embryos at cleavage (day 2/3) and/or blastocyst (day 5/6) developmental stages, up to 18 November 2017. Twenty-eight studies (three prospective and 25 retrospective) reporting data on 291,752 assisted reproductive technology (ART) cycles were considered eligible. We confirmed a strong positive association between oocytes retrieved and top/good-quality day 2/3 embryos (weighted correlation coefficient [r_w] = 0.791), day 5/6 embryos (r_w = 0.901), metaphase II oocytes (r_w = 0.988), oocytes exhibiting two pronuclei (r_w = 0.987) and euploid embryos (r_w = 0.851); P < 0.001 for all correlations (evaluated in subsets of the 17 studies). Data from 5657 cycles showed that the group with the most oocytes aspirated had the most top/good-quality day 2/3 embryos (pooled standardized mean differences (high [>15] versus low [<4] 1.91, 95% confidence interval [CI] 1.05-2.77, P < 0.0001; high versus medium [4-15] 1.15, 95% CI 0.74-1.55, P < 0.0001; medium versus low 1.41, 95% CI 0.79-2.03, P < 0.0001). Individual participant meta-analysis would enable accurate determination of these associations and other outcomes.

Innovations in assisted reproductive technologies: impact on contemporary donor egg practice and future advances

Innovations in assisted reproductive technologies (ART) have driven progress in the donor egg field since the birth of the first baby derived from a donor egg in 1983. Over time, donor oocytes have become an increasingly used option for patients unable to conceive with autologous oocytes. In donor egg, the unique separation of the oocyte source and recipient uterus has created a model that has propelled advances in ART. Progressive ART innovations that have optimized the oocyte donor and resulting embryo include the following: evaluation of ovarian reserve, controlled ovarian hyperstimulation regimens that reduce the risk of ovarian hyperstimulation syndrome, blastocyst culture, oocyte cryopreservation, and preimplantation genetic testing. For donor egg recipients, methods to optimize the endometrium to maximize implantation include endometrial receptivity testing, immunologic donor-recipient matching, and increased understanding of the uterine microbiome.

The expected cumulative incidence of live birth for patients starting IVF treatment at age 41 years or older

RESEARCH QUESTION

What is the cumulative incidence of live birth (CILB) for high-order consecutive IVF cycles, and which factors are associated with live birth in women aged ≥41 years using autologous oocytes?

DESIGN

A retrospective cohort study including 146 patients aged 41 years to <44 years who started their first IVF cycle attempt using autologous oocytes, between January 2006 and December 2013.

RESULTS

After 13 IVF cycles, CILB reached up to 33.6%. After six IVF cycles, 42 (28.8%) women delivered a live infant (85.7% of the total live birth). Mean live birth rate per cycle declined with age at the initial cycle (8% at 41 years; 5.8% at 42 years; and 4.1% at 43 years). Multivariable modified Poisson regression models identified patient's age (RR for 41 years versus 43 years: 0.47; 95% CI 0.25 to 0.87; P = 0.01), smoking status (RR 0.21; 95% CI 0.05 to 0.08; P = 0.02), and mean number of fertilized oocytes (RR 1.23; 95% CI 1.08 to 1.39; P < 0.01) as factors significantly associated with the probability of a live birth.

CONCLUSIONS

Multiple repeat IVF cycles in women aged 41-44 years offers a reasonable long-term success rate. After six cycles of treatment, about 29% of women of advanced reproductive age using autologous oocytes expected to achieve a live birth. This information might assist in fertility counselling and managing patients' expectations by adjusting the appropriate treatment strategy and number of IVF cycle attempts, especially in countries in which egg donation is prohibited or when multiple repeated IVF cycles attempts are financially affordable.