IVF Treatment Research Articles

Triggering oocyte maturation in IVF treatment in normal responders: a systematic review and network meta-analysis.

To compare efficacy and safety of hCG, GnRH agonist, dual, and double triggers in predicted normal responders undergoing ovarian stimulation and IVF DESIGN: A systematic review and network meta-analysis of randomized controlled trials (RCTs). RCTs indexed in PubMed, MEDLINE, EMBASE, clinical trial registries and Cochrane Database of Systematic Reviews up to December 2023. Twelve high-integrity RCTs comprising 1,931 women were included, which compared hCG trigger to GnRH agonist trigger, dual trigger, and double trigger. Statistical analysis was performed using STATA version 16. Key outcomes included clinical pregnancy rates (CPR), live birth rates (LBR), number of oocytes, number of mature oocytes, miscarriage rate and rates of ovarian hyperstimulation syndrome (OHSS). The network meta-analysis for CPR were relative risk (RR) 1.13 (95% Confidence Interval (CI):0.80-1.60) for hCG versus GnRH agonist trigger, RR 1.23 (95% CI:0.92-1.65) for hCG versus dual trigger, RR 0.38 (95% CI:0.21-0.69) for hCG versus double trigger, RR 1.09 (95% CI:0.70-1.70) for GnRH agonist versus dual trigger and 0.34 (95% CI:0.17-0.67) for GnRH agonist versus double trigger and RR 0.31 (95%CI:0.16-0.60) for double versus dual trigger. Dual trigger demonstrated the highest SUCRA (85.1%), indicating superior efficacy for clinical pregnancy rates. For LBR, while connectivity was limited, the RR was 1.31 (95% CI: 1.00-1.70) for dual versus hCG trigger, and RR 1.60 (95% CI: 1.05-2.43) for dual versus GnRH agonist trigger. OHSS rates were significantly lower with the GnRH agonist compared to hCG trigger (RR 0.56, 95% CI: 0.19-1.75). There were no randomized controlled trials reporting OHSS rates with the use of dual or double trigger. No significant differences were observed in the number of oocytes retrieved, mature oocytes, or miscarriage rates among the trigger protocols. The findings indicate that there is no evidence to suggest that using GnRH agonist, dual, or double protocols is superior to hCG trigger in improving clinical pregnancy rates. While live birth rates may benefit from dual trigger, results are limited by available RCTs. Larger, multicentre trials are needed for further evaluation of live birth rates and understanding of long-term outcomes.

One fresh cleavage-stage single embryo transfer (SET) plus one frozen-thawed blastocyst-stage SET or one fresh cleavage-stage double embryo transfer? A retrospective matched cohort study.

Are there significant differences in fertility outcomes between transferring two cleavage-stage embryos in a single fresh cycle and transferring one cleavage-stage embryo in a fresh cycle and one blastocyst-stage embryo in the subsequent frozen-thawed cycle? In women aged <38 years with two embryos available, transferring one cleavage-stage embryo in a fresh cycle and one blastocyst-stage embryo in the subsequent frozen-thawed cycle increased live birth rates and decreased multiple live birth rates compared to transferring two cleavage-stage embryos in a single fresh cycle. The strategy of repeated single embryo transfer (SET) has emerged as a solution to address the reduced live birth rates associated with SET per cycle. There is substantial evidence indicating that the cumulative live birth rate after repeated SET is comparable to that of double embryo transfer (DET), while significantly reducing the incidence of multiple pregnancies. Evidence regarding the outcomes of transferring two cleavage-stage embryos in a single fresh cycle versus transferring one cleavage-stage embryo in one fresh cycle and one blastocyst-stage embryo in the subsequent frozen-thawed cycle is scarce. This study is a retrospective matched cohort study, where data were gathered from the clinical database of women who underwent IVF treatment at the Reproductive Center of Peking University Third Hospital between January 2011 and December 2019, with follow-up extending until December 2021. The study group included cycles with a fresh cleavage-stage SET and a subsequent frozen-thawed blastocyst-stage SET (2xSET, N = 976). Fresh cleavage-stage DET was the control group (DET, N = 976). Included cycles were divided into subgroups based on age (≥38 years vs <38 years) and total number of utilizable (transferred or cryopreserved) embryos (=2 vs >2). The duration of infertility, prevalence of unexplained infertility, and controlled ovarian stimulation regimes differed significantly between the two groups and were adjusted for in the further analysis. We observed a significant increase in clinical pregnancies (55.5% vs 42%, adjusted odds ratio (OR) 1.87 [1.55-2.26]) and live births (44.8% vs 34.5%, adjusted OR 1.63 [1.35-1.97]) in favor of the 2xSET group. The preterm birth rate was lower in the study group (adjusted OR 0.64 [0.42-0.96]). Neonatal birth weight of singletons was similar between the two groups (adjusted B 4.94 g [-84.5 to 94.4]). The beneficial effect on the live birth rate disappeared in cases where aged 38 years and older or when only two embryos were utilizable. This study is limited by differences in baseline characteristics of the two groups. Analyzing two consecutive SETs at the cleavage stage was not feasible. Additionally, the homogeneous population limits generalizability to other ethnic groups, which should be considered when interpreting the results broadly. We recommend a combination strategy for women under 38 years old and with more than two embryos available: transfer one cleavage-stage embryo in the fresh cycle, followed by one blastocyst-stage embryo in the subsequent frozen-thawed cycle. This strategy reduces the risk of blastocyst culture failure while maintaining a high success rate. It offers hope to families seeking additional children and avoids unnecessary embryo disposal. B.W.M. had received grants from NHMRC, Ferring, Merck, and Guerbet, consulting fees and stock options from ObsEva, is on the advisory board of ObsEva, and reports consultancy for Guerbet, none of which are in relation to the present manuscript. All other authors have no conflict of interest to declare. N/A.

The role of Letrozole in IVF treatment: new remedy or old mirage?

Aromatase inhibitors, particularly letrozole, are now established as first-line ovulation induction agents, offering an effective ovarian stimulation strategy to enhance outcomes of intrauterine insemination. In recent years, they have also emerged as potentially valuable adjuvants to gonadotropin ovarian stimulation for IVF, particularly in fertility preservation in women with estrogen-responsive cancers. Their primary mechanism of action is to reduce circulating estrogen levels by inhibiting androgen aromatization. Recent studies have provided evidence that this property may confer therapeutic advantages in other patients undergoing IVF. In this article, evidence supporting the role of adjuvant letrozole in poor responders, as a moderator of OHSS symptoms, and an agent for improving the luteal phase after ovarian stimulation is reviewed. The use of letrozole for endometrial preparation in the frozen-thawed embryo transfer cycle is also considered.

Neural networks pipeline for quality management in IVF laboratory

This study introduces a novel neural network-based pipeline for predicting clinical pregnancy rates in IVF treatments, integrating both clinical and laboratory data. We developed a metamodel combining deep neural networks and Kolmogorov-Arnold networks, leveraging their complementary strengths to enhance predictive accuracy and interpretability. The metamodel achieved robust performance metrics after training and fitting on 11500 clinical cases: accuracy = 0.72, AUC = 0.75, F1 score = 0.60, and Matthews Correlation Coefficient of 0.42. According to morpho-kinetical embryo evaluation, our model’s PRC of 0.66 significantly improves over existing time-lapse systems for pregnancy prediction, demonstrating better handling of imbalanced clinical data. The metamodel’s calibration metrics (Brier score = 0.20, expected calibration error = 0.06, maximum calibration error = 0.12, Hosmer-Lemeshow test p-value = 0.06) indicate robust reliability in predicting clinical pregnancy outcomes. We validated the model’s reproducibility using an independent dataset of 665 treatment cycles, showing close alignment between predicted and actual pregnancy rates (58.9% vs. 59.1%). With the Bayesian method, we proposed a robust framework for integrating historical data with real-time predictions from neural networks, enabling a transition from retrospective to prospective analysis. Our approach extends beyond conventional embryo selection, incorporating post-analytical phase evaluation in the IVF laboratory. This comprehensive framework enables detailed analysis across different patient subpopulations and time periods, facilitating the identification of systemic issues and IVF protocol optimization. The model’s ability to track pregnancy probabilities over time and staff members allows for both outcome prediction and retrospective and prospective assessment of IVF treatment efficacy, providing a data-driven strategy for continuous improvement in assisted reproductive technology.

7701 Comparative Analysis of Dried Blood Spot and Serum ELISAs for AMH, FSH, and LH in Patients Seeking IVF Treatment

Abstract Disclosure: T. Kumar: None. R. Chauhan: None. B. Kalra: None. A.S. Patel: None. S. Chauhan: None. A. Kumar: None. Relevance: Dried Blood Spot (DBS) technology has not been widely implemented in the diagnostic industry due to its limitations in obtaining reliable, quantitative data from small blood samples. However, recent advancements in methods, i.e., sensitive antibodies, homogeneous and reproducible paper quality, and painless needles have renewed the interest in the DBS collection technique. Objective: The aim of the study is to validate the hormone measurements using DBS technology and compare the correlation matrix between AMH, LH, FSH, inhibin B, Antral Follicle Counts (AFC), age, and BMI in patients seeking infertility workup. Materials and Methods: Matched serum and DBS samples from thirty-nine patients between the ages of 18 and 45 years were collected on day 3 of the cycle. The subjects were visiting the clinic for initial fertility workup and subjects on medications for ovarian suppression were excluded. The samples were tested on Ansh Labs DBS AMH (AL-129), FSH (AL-187), and LH (AL-190), PCOCheck AMH (N-N terminus, AL-196), picoAMH (C-N terminus, AL-124-r), US Inhibin B (AL-195) ELISAs. Baseline AFC obtained via transvaginal ultrasound, BMI, and age were collected. Spearman’s correlations, and regression analysis using Passing and Bablok were calculated to examine the relationship between AFC, AMH, inhibin B, FSH LH, age, and BMI. Results: DBS samples were highly correlated to their matched serum specimens. The slope and Spearman’s rank correlation (rs) between matched serum and DBS specimens for AMH, FSH, and LH were 1.17x, 1.07x, 1.07x, and 0.98, 0.93, and 0.97, respectively. DBS AMH strongly correlated with AFC. The Spearman’s rank correlation (rs) between AFC and DBS AMH, DBS LH, and DBS FSH were 0.80, -0.11, and -0.31, respectively. A strong correlation was observed between age and AMH, LH and FSH. A weak correlation was observed between BMI and AMH, LH and FSH. The Spearman’s rank correlation (rs) between age and DBS AMH, LH, and FSH were -0.34, 0.28, and 0.25, respectively. DBS AMH, LH, and FSH correlation with BMI were -0.06, 0.05, and 0.09, respectively. Inhibin B had a strong correlation to age (rs -0.33), BMI (rs -0.67), AFC (rs 0.44), DBS AMH (rs 0.40), DBS FSH (rs -0.19), DBS LH (rs-0.11), respectively. AMH method comparison between N-N and N-C terminal ELISA using 39 serum samples yielded slopes of 0.85x and Spearman’s rank correlation of 0.97. Conclusions: DBS and serum measurements for AMH, LH, and FSH are very accurate and precise. They can be used interchangeably. The strong relationship between BMI and Inhibin B will require further investigation and may open new avenues in obesity and reproductive endocrinology. Presentation: 6/1/2024

Comparison of highly purified human menopausal gonadotropin and recombinant follicle stimulating hormone use in patients undergoing in vitro fertilization with progestin-primed ovarian stimulation protocol: a single center retrospective analysis.

Recently, progesterone has been used to prevent LH surge instead of GnRH analogues during ART treatments, which is known as progesterone-primed ovarian stimulation (PPOS) protocol. During ART treatment, highly purified human menopausal gonadotropin (HP-hMG) and recombinant follicle stimulating hormone (rFSH) are two of the agents used for stimulation of antral follicles. The aim of this study is to compare the efficacy and success of HP-hMG and rFSH agents in the ovarian stimulation step of the PPOS protocol, which has not been previously reported in the literature. This retrospective study was conducted at a university hospital with patients who underwent IVF treatment using PPOS protocols in between January 2019 and July 2021. For ovarian stimulation, rFSH was used in group I and HP-hMG was used in group II. Mature oocyte ratio was the primary outcome, and live birth rate was the secondary outcome. Mann-Whitney and Chi-square tests were used for statistical analysis. All p values below 0.05 were considered significant. Total numbers of follicles, oocytes, MII, and 2PN numbers obtained were similar between the two groups. The fertilization rates were 66.7% in the rFSH group and 64.3% in the HP-hMG group (p > 0.05). The pregnancy rates were 53.5% and 46.7% in the rFSH and HP-hMG groups, respectively. There was no statistically significant difference between pregnancy, abortus, and live birth rates. In this study, it is demonstrated that stimulation of oocytes with either rFSH or hMG in the PPOS protocol, which has been added to IVF treatment protocols in recent years, had no statistical difference regarding mature oocyte numbers and live birth rates between the two groups. These results are consistent with the previous literature which compared rFSH and hMG in GnRH agonist and antagonist protocols.

Family creation by combined use of ART and surrogacy in a transgender couple: a unique case report

In 2014 a 36-year-old healthy female-to-male transgender patient attended the London Women's Clinic to consider oocyte and embryo freezing before sex reassignment surgery. The patient began IVF treatment in 2015; from two cycles nine MII oocytes and five blastocysts were frozen. Three years later the patient returned with his partner, a 39-year-old healthy transgender male-to-female, ready to start a family with surrogacy treatment. The surrogate delivered a healthy baby girl born at term in 2021 via Caesarean section, with a second successfully delivered in 2022. To our knowledge this is the first case report of successful family creation in which both partners are transgender.

Psychosocial and environmental motivational key factors behind the parenthood desire in infertile couples at the time of COVID-19.

To evaluate the main psychosocial motivational factors behind the increased adoption of IVF during the COVID-19 pandemic. This prospective, multicenter, observational case-control study assessed the factors motivating infertile couples to pursue their first IVF treatment during the pandemic across various IVF clinics in Spain, Portugal, Italy, the USA, and Panama. A pre-pandemic control group and a post-pandemic participant group were surveyed. The study was conducted between November 2021 and January 2023. The increase in IVF cycles was analyzed, and an ad hoc survey was developed to explore the motivational factors driving IVF engagement. Most clinics reported a significant increase in IVF demand (5.5-8.7%) for all indicators, including the number of started ovarian stimulations, oocyte pickups, and embryo transfers, following the declaration of the pandemic. The extra time spent and the reduced workload were the most important motivations prompting women to pursue their first fertility treatment during the pandemic (time to spend in the couple's relationship-OR, 1.53; 95% CI, 1.06-2.20; p < 0.05; decreased workload-OR, 2.63; 95% CI, 1.11-6.24; p < 0.05). This study highlights that infertility remains a significant stressor for individuals, and the desire to resolve it is not hindered by catastrophic events like COVID-19. Open communication between partners about reproductive intentions, combined with reduced work-related stress, is a key factor influencing the initiation of fertility treatment. It is crucial to encourage couples to take timely action in facing infertility.

Is the occurrence of Gestational Diabetes Mellitus in pregnancies higher following In Vitro Fertilization treatment? Why? A retrospective cohort study

Purpose: This study aim to determine the occurrence of gestational diabetes mellitus (GDM) in pregnancies after IVF treatment and to evaluate the factors that reduce this risk. Methods: This retrospective cohort study was conducted using the medical records of pregnant women who conceived following IVF at the in-vitro fertilization center between 2002–2019. The data were obtained from medical records and phone interviews. Univariate and multivariate logistic regression analyses were performed. Results: The incidence of GDM was found to be 16.7%. The regression model indicated that the risk of GDM was 4.57 times higher in the age group 36–40 at conception during the IVF cycle than the age group 31–35 (95% CI = 1.18–17.73, p = .028). Furthermore, women who conceived after the second IVF trial had a risk of GDM 3.464 times higher than those that conceived after their first IVF trial (95% CI = 1.07–11.23, p= .038). Conclusion: As age and number of IVF trials increase in infertile women, the risk of GDM increases after IVF treatment.

Subendometrial blood flow detected by Doppler ultrasound associates with pregnancy outcomes of frozen embryo transfer in patients with thin endometrium.

Multiple factors have been shown to influence the rate of clinical pregnancy after FET in IVF treatment, including embryo quality, synchronization of embryo and endometrium, and endometrial receptivity (ER). The subendometrial blood flow conditions could also contribute potentially major effects toward the establishment and maintenance of pregnancy. We conducted a retrospective cohort study to examine the correlation between subendometrial blood flow, as determined by Doppler ultrasound, and pregnancy outcomes in IVF patients with a thin endometrium (endometrium thickness [EMT] ≤ 0.7cm). This was a retrospective cohort study conducted at a university-affiliated reproductive hospital from January 2017 to April 2023. The EMT and subendometrial blood flows were assessed using transvaginal color Doppler ultrasound and evaluated by experienced clinical ultrasound physicians on the endometrial transformation day. The pregnancy outcomes were followed up and documented in clinical medical records through the IVF cohort study at our center. In the patients with 0.5cm ≤ EMT ≤ 0.7cm, the embryo implantation rate was statistically significant increased in the patients with the presence of subendometrial blood flow (OR 1.484; 95% CI, 1.001-2.200; P = 0.049; aOR 1.425; 95% CI, 1.030-2.123; P = 0.003). Patients with discernible subendometrial blood flow have superior live birth (P = 0.028), clinical pregnancy (P = 0.049), and embryo implantation (P = 0.027) compared to the patients without subendometrial blood flow when the EMT is ≤ 0.7cm. The presence of subendometrial blood flow detected by ultrasound was positively associated with successful embryo implantation and favorable pregnancy outcomes in patients with thin endometrium undergoing FET.

Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights

BackgroundData sciences and artificial intelligence are becoming encouraging tools in assisted reproduction, favored by time-lapse technology incubators. Our objective is to analyze, compare and identify the most predictive machine learning algorithm developed using a known implantation database of embryos transferred in our egg donation program, including morphokinetic and morphological variables, and recognize the most predictive embryo parameters in order to enhance IVF treatments clinical outcomes.MethodsMulticenter retrospective cohort study carried out in 378 egg donor recipients who performed a fresh single embryo transfer during 2021. All treatments were performed by Intracytoplasmic Sperm Injection, using fresh or frozen oocytes. The embryos were cultured in Geri® time-lapse incubators until transfer on day 5. The embryonic morphokinetic events of 378 blastocysts with known implantation and live birth were analyzed. Classical statistical analysis (binary logistic regression) and 10 machine learning algorithms were applied including Multi-Layer Perceptron, Support Vector Machines, k-Nearest Neighbor, Cart and C0.5 Classification Trees, Random Forest (RF), AdaBoost Classification Trees, Stochastic Gradient boost, Bagged CART and eXtrem Gradient Boosting. These algorithms were developed and optimized by maximizing the area under the curve.ResultsThe Random Forest emerged as the most predictive algorithm for implantation (area under the curve, AUC = 0.725, IC 95% [0.6232–0826]). Overall, implantation and miscarriage rates stood at 56.08% and 18.39%, respectively. Overall live birth rate was 41.26%. Significant disparities were observed regarding time to hatching out of the zona pellucida (p = 0.039). The Random Forest algorithm demonstrated good predictive capabilities for live birth (AUC = 0.689, IC 95% [0.5821–0.7921]), but the AdaBoost classification trees proved to be the most predictive model for live birth (AUC = 0.749, IC 95% [0.6522–0.8452]). Other important variables with substantial predictive weight for implantation and live birth were duration of visible pronuclei (DESAPPN-APPN), synchronization of cleavage patterns (T8-T5), duration of compaction (TM-TiCOM), duration of compaction until first sign of cavitation (TiCAV-TM) and time to early compaction (TiCOM).ConclusionsThis study highlights Random Forest and AdaBoost as the most effective machine learning models in our Known Implantation and Live Birth Database from our egg donation program. Notably, time to blastocyst hatching out of the zona pellucida emerged as a highly reliable parameter significantly influencing our implantation machine learning predictive models. Processes involving syngamy, genomic imprinting during embryo cleavage, and embryo compaction are also influential and could be crucial for implantation and live birth outcomes.

Letrozole co-treatment in an antagonist protocol for overweight women undergoing IVF treatment: a retrospective study

BackgroundOverweight women undergoing IVF treatment have lower success rates. Letrozole, an aromatase inhibitor, has been used as an adjunct for IVF treatment, but its specific effects in overweight women have not been investigated. This study was to explore the effects of letrozole co-treatment in an antagonist protocol for overweight infertile women undergoing IVF treatment.MethodsThis retrospective cohort study included overweight infertile women who underwent IVF/ICSI treatment and fresh embryo transfer (ET), with or without letrozole co-treatment in an antagonist protocol, from 2007 to 2021 at Shanghai Ninth People’s Hospital (Shanghai, China). A total of 704 overweight infertile women were included: 585 women were in the antagonist group, and 119 women were in the letrozole co-treatment group. The primary outcome was the live birth rate after fresh ET. Propensity score-based patient-matching was employed to balance the covariates between the groups. Multivariate logistic regression analysis was also performed to estimate odds ratio (OR) and 95% confidence interval (CI) for association of letrozole co-treatment and the live birth outcome.ResultsLetrozole co-treatment induced significant changes in hormonal profile on the trigger day. The letrozole group exhibited a decrease in the total number of follicles compared to the antagonist group, but a higher proportion of large follicles at oocyte retrieval (P < 0.05). The quantity and quality of embryos were comparable between the two groups (P > 0.05). The letrozole co-treatment group had a significantly higher live birth rate than the control group (38.7% vs. 22.6%, P = 0.026). With multivariate logistic regression analysis, letrozole co-treatment was associated with higher odds of live birth after adjusting for potential confounding factors (adjusted OR = 2.00, 95% CI = 1.17–3.39, P = 0.011). Letrozole presented no significant associations with obstetrical or neonatal complications (P > 0.05).ConclusionLetrozole co-treatment in an antagonist protocol may offer potential benefits for overweight infertile women undergoing IVF treatment. Further research is warranted to validate these findings and explore the broader implications for letrozole co-treatment.

Bladder Endometriosis: Symptoms and Pregnancy Outcomes

ObjectiveTo investigate the clinical features of bladder endometriosis and factors associated with urinary symptoms, pregnancy outcomes, and long-term effects of symptom relief and recurrence. DesignA single-center retrospective cohort study. SettingA tertiary referral hospital. ParticipantsForty-seven patients who were surgically confirmed to have bladder endometriosis at Peking Union Medical College Hospital between January 2012 and December 2023 were included in this study. InterventionsA retrospective study of the clinical and pathological features and reproductive outcomes in patients with bladder endometriosis. Measurements and Main ResultsAmong 47 patients with bladder endometriosis, 27 (57.4%) presented with urinary symptoms, including urinary frequency, urgency, dysuria, and hematuria. Patients with urinary symptoms were more likely to have previous cesarean sections (odds ratio [OR] 4.5, 95% confidence interval [CI] 1.1–19.2, p = .032) and experience dysmenorrhea compared to those without (p = .008, OR 5.3, 95% CI 1.5–18.8). Anterior compartment obliteration was another factor associated with urinary symptoms (OR 7.2, 95% CI 1.3–40.4, p = .016). Bladder lesions located within 1 cm of the ureteral orifice (OR 7.2, 95% CI 1.3–40.4, p = .020) and the deeper invasive layer of lesions (mucosal layer, OR 6.1, 95% CI 1.4–25.8, p = .009) were also found to be associated with symptoms. Regarding reproductive outcomes, 12 patients desired to conceive. Of the patients who desired pregnancy, 66.7% achieved pregnancy; 5 spontaneously and 3 after IVF treatment. The miscarriage rate among patients with bladder endometriosis was 25.0% in the age range of 27–40 years. Additionally, all patients experienced symptom relief after one year of follow-up. Only two patients experienced bladder endometriosis recurrence. ConclusionsPrevious cesarean section, dysmenorrhea, anterior compartment obliteration, lesion in the trigone, and mucosal layer invasion were identified as factors associated with urinary symptoms. Although some patients conceived successfully after surgery, disentangling the independent effect of bladder endometriosis on fertility remains challenging.

The emergence and use of expanded carrier screening in gamete donation: A new form of repro-genetic selection.

With the continued expansion and commercialisation of fertility treatments, the selection and matching of donors have become more sophisticated and technologised. As part of this landscape, new form of genetic screening: 'expanded carrier screening' (ECS) is being offered as a technique to avoid the risk of donors passing on genetic conditions to future offspring. Allowing donors to be tested for hundreds of genetic conditions simultaneously, ECS marks a considerable departure from traditional 'family history' models of screening, which rely on an individual's knowledge of family health. There is growing evidence of a drive towards the use of ECS within the fertility sector, and a growing number of clinics are offering it for a fee, as part of an egg or sperm donation cycle or as an add-on to IVF treatment. In this article, we use methods of critical reflection to synthesise data from two studies to explore how ECS is being used to avoid genetic risk in IVF treatment using donor gametes. We suggest that ECS is a new form of repro-genetic selection-a selective reproductive technology-with specific and important implications for donors, recipients and clinicians and with the potential to reconfigure the scope and application of gamete donation. We examine these implications and conclude that the existing policy blind spot relating to this development in fertility treatment practice needs to be urgently addressed.

Efficacy and safety of Shen Que (RN8) moxibustion on reproductive outcomes in unexpected poor ovarian responders: a randomized controlled trial

BackgroundManaging infertility patients with poor ovarian response (POR) to ovarian stimulation remains unmet clinically. Besides economic burdens, patients with POR have a poor prognosis during in vitro fertilization and embryo transfer (IVF-ET). In this study, we assessed the efficacy and safety of Shen Que (RN8) moxibustion on reproductive outcomes in POSEIDON patients (Group 2a).MethodsWomen eligible for IVF were invited to participate in this randomized, open-label, superiority trial at an academic fertility center from January 2022 to December 2023. One hundred patients ≤ 44 years old equally divided between Shen Que moxibustion (SQM) and control groups were randomized. These patients must meet the POSEIDON criteria, Group 2a, which requires antral follicle count (AFC) ≥ 5 or anti-müllerian hormone (AMH) ≥ 1.2ng/ml, and a previous unexpected POR (< 4 oocytes). Twelve moxibustion sessions were conducted in the SQM group prior to oocyte retrieval, while only IVF treatment was performed in the control group. The primary outcome was the number of oocytes retrieved.ResultsAs compared with the IVF treatment alone, the SQM + IVF treatment significantly increased the number of retrieved oocytes (4.7 vs. 5.8, p = 0.012), mature oocytes (3.0 vs. 5.0, p = 0.008), and available embryos (2.0 vs. 4.0, p = 0.014) in unexpected poor ovarian responders aged more than 35 years. In the SQM group, the cumulative live birth rate was 27.3% (9/33) in comparison to 13.3% (4/30) in the control group, whereas no statistical significance was detected (p = 0.172). During the study, no significant adverse effects were observed.ConclusionsWomen with unexpected POR who meet POSEIDON Group 2a can benefit from Shen Que (RN8) moxibustion treatment.Trial registrationClinicalTrials.gov, NCT05653557.

Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study

The objective of this study was to evaluate clinical outcomes for patients undergoing IVF treatment where an artificial intelligence (AI) platform was utilized by clinicians to help determine the optimal starting dose of FSH and timing of trigger injection. This was a prospective clinical trial with historical control arm. Four physicians from two assisted reproductive technology treatment centers in the United States participated in the study. The treatment arm included patients undergoing autologous IVF cycles between December 2022–April 2023 where the physician use AI to help select starting dose of follicle stimulating hormone (FSH) and trigger injection timing (N = 291). The control arm included historical patients treated where the same doctor did not use AI between September 2021 and September 2022. The main outcome measures were total FSH used and average number of mature metaphase II (MII) oocytes. There was a non-significant trend towards improved patient outcomes and a reduction in FSH with physician use of AI. Overall, the average number of MIIs in the treatment vs. control arm was 12.20 vs 11.24 (improvement = 0.96, p = 0.16). The average number of oocytes retrieved in the treatment vs. control arm was 16.01 vs 14.54 (improvement = 1.47, p = 0.08). The average total FSH in the treatment arm was 3671.95 IUs and the average in the control arm was 3846.29 IUs (difference = −174.35 IUs, p = 0.13). These results suggests that AI can safely assist in refining the starting dose of FSH while narrowing down the timing of the trigger injection during ovarian stimulation, benefiting the patient in optimizing the count of MII oocytes retrieved.

GnRH agonist-only trigger, compared to dual trigger, reduces oocyte retrieval rate in high responders without affecting cumulative live birth rate.

This study compared, in high responders undergoing IVF treatment, GnRH agonist-only trigger and dual trigger on oocyte retrieval rate and cumulative live birth rate (LBR). The aim was to determine if the GnRH agonist-only triggers had provided outcomes comparable to dual trigger, while minimizing the risk of ovarian hyperstimulation syndrome (OHSS). A retrospective, matched case-control study was conducted at Taichung Veterans General Hospital, Taiwan, including women who underwent IVF/ICSI between January 1, 2014, and December 31, 2022. Inclusion criteria were: GnRH antagonist protocol and estrogen level >3,000 pg/ml on trigger day. Exclusion criteria were: immune/metabolic diseases, donated oocytes, and mixed stimulation cycles. Propensity score matching was applied to balance age, AMH level, and oocyte number between the GnRH agonist-only and dual trigger groups. Outcomes were analyzed for patients who had complete treatment cycles, focusing on oocyte retrieval rate and cumulative LBR. We analyzed 116 cycles in the agonist-only group, and 232 cycles in the dual trigger group. No inter-group difference was found in their age, BMI, and AMH levels. The dual trigger group had a higher oocyte retrieval rate (93% vs. 80%; p <0.05), while fertilization rates, blastocyst formation rates, and cumulative LBR were comparable. Notably, no OHSS cases had been reported in the GnRH agonist-only group, compared with 7 cases in the dual trigger group. GnRH agonist-only triggers resulted in a lower oocyte retrieval rate compared to dual triggers but did not significantly affect cumulative LBR in high responders. This approach effectively reduces OHSS risk without compromising pregnancy outcomes, making it a preferable option in freeze-all strategies, despite a longer oocyte pick-up duration and a medium cost. GnRH agonist-only trigger, however, may not be suitable for fresh embryo transfers or patients with low serum LH levels on trigger day.

Optimal control model for IVF treatment in Women

Optimal control model for IVF treatment in Women

Redox Balance and Inflammatory Response in Follicular Fluids of Women Recovered by SARS-CoV-2 Infection or Anti-COVID-19 Vaccinated: A Combined Metabolomics and Biochemical Study.

To date, not many studies have presented evidence of SARS-CoV-2 infecting the female reproductive system. Furthermore, so far, no effect of the administration of anti-COVID 19 vaccines has been reported to affect the quality of oocytes retrieved from women who resorted to assisted reproduction technology (ART). The FF metabolic profiles of women who had been infected by SARS-CoV-2 before IVF treatments or after COVID-19 vaccination were examined by 1H NMR. Immunochemical characterization of proteins and cytokines involved in the redox and inflammatory pathways was performed. The increased expression of SOD2 and NQO1, the lack of alteration of IL-6 and CXCL10 levels, as well as the increased expression of CD39, suggested that, both sharing similar molecular mechanisms or proceeding along different routes, the redox balance is controlled in the FF of both vaccinated and recovered women compared to controls. The lower amount of metabolites known to have proinflammatory activity, i.e., TMAO and lipids, further supported the biochemical results, suggesting that the FF microenvironment is controlled so as to guarantee oocyte quality and does not compromise the outcome of ART. In terms of the number of blastocysts obtained after ICSI and the pregnancy rate, the results are also comforting.

Violence and its related factors among infertile women attending assisted reproductive technique unit at Al-Azhar University, Cairo

BackgroundViolence against women is a distressing issue particularly when they are infertile. Nevertheless, many women who are infertile and exposed to violence continue their marriage and justify such choice.AimThe current study aimed to assess the prevalence of violence against infertile women and its associated factors.Participants and methodsThis cross-sectional study involved 364 Egyptian women with primary infertility; they were randomly selected from the assisted reproductive technique unit of Al-Azhar University’s International Islamic Center for Population Studies and Research. The data were collected through an interview questionnaire including the Infertile Women’s Exposure to Violence Determination Scale (IWEVDS), socio-demographic, conception, and community-related factors.ResultsModerate/high violence level was detected among 50.5% (95% CI = 45.3- 55.8%) of the studied infertile women, the mean ± SD of total score of IWEVDS was 48.27 ± 21.6. Exclusion was the most frequent type of violence among them. Binary logistic regression revealed that wives who had lower-educated husbands, lived in low-income families, had undergone prior IVF treatment, and who perceived gender inequality acceptance in society were more likely to expose to violence than others (OR = 3.76, 4.25, 2.05, and 2.08 respectively) (P value < 0.05).Conclusion and recommendationsInfertile women have frequent exposure to different types of violence and many factors were implicated in such condition. Despite exposure to violence, infertile women refused divorce because they had no alternative financial sources as well as they were afraid of loneliness. A community mobilization approach to control this problem through a collaboration of all stakeholders is recommended.