Clinical strategies for ART treatment of infertile women with advanced maternal age

Analysis of use of different rFSHs during IVF/ICSI-assisted conception in elderly population and effect of double trigger on clinical outcomes

OBJECTIVE

To compare the number of oocytes retrieved and clinical outcomes of ovulation induction in an older population treated with in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) (IVF/ICSI) using different rFSH options and the effectiveness of antagonist treatment to induce ovulation using gonadotropin-releasing hormone agonists (GnRH-a) in combination with an human chorionic gonadotropin (HCG) trigger.

METHODS

A total of 132 fresh cycles were selected for this study, which were treated with IVF/ICSI in our hospital from March 2022 to December 2022. Observations were made according to different subgroups and the effects of different triggering methods on the number of oocytes obtained, embryo quality, and clinical outcomes.

RESULTS

The initial gonadotropin (Gn) dose, the number of oocytes, and the number of MII oocytes were higher in group A than in group B (p < .05), and the clinical pregnancy rate was 29.41% in group A. Group B had a clinical pregnancy rate of 27.5%. The double-trigger group was superior to the HCG-trigger group in terms of the number of 2PN, the number of viable embryos, and the number of high-quality embryos (p < .05). The use of a double-trigger regimen (OR = 0.667, 95%CI (0.375, 1.706), p = .024) was a protective factor for the clinical pregnancy rate, whereas AFC (OR = 0.925, 95%CI (0.867, 0.986), p = .017) was an independent factor for the clinical pregnancy rate.

CONCLUSIONS

The use of a dual-trigger regimen of GnRH-a in combination with HCG using an appropriate antagonist improves pregnancy outcomes in fresh embryo transfer cycles in older patients.

Pretreatment prediction for IVF outcomes: generalized applicable model or centre-specific model?

STUDY QUESTION

What was the performance of different pretreatment prediction models for IVF, which were developed based on UK/US population (McLernon 2016 model, Luke model, Dhillon model, and McLernon 2022 model), in wider populations?

SUMMARY ANSWER

For a patient in China, the published pretreatment prediction models based on the UK/US population provide similar discriminatory power with reasonable AUCs and underestimated predictions.

WHAT IS KNOWN ALREADY

Several pretreatment prediction models for IVF allow patients and clinicians to estimate the cumulative probability of live birth in a cycle before the treatment, but they are mostly based on the population of Europe or the USA, and their performance and applicability in the countries and regions beyond these regions are largely unknown.

STUDY DESIGN, SIZE, DURATION

A total of 26 382 Chinese patients underwent oocyte pick-up cycles between January 2013 and December 2020.

PARTICIPANTS/MATERIALS, SETTING, METHODS

UK/US model performance was externally validated according to the coefficients and intercepts they provided. Centre-specific models were established with XGboost, Lasso, and generalized linear model algorithms. Discriminatory power and calibration of the models were compared as the forms of the AUC of the Receiver Operator Characteristic and calibration curves.

MAIN RESULTS AND THE ROLE OF CHANCE

The AUCs for McLernon 2016 model, Luke model, Dhillon model, and McLernon 2022 model were 0.69 (95% CI 0.68-0.69), 0.67 (95% CI 0.67-0.68), 0.69 (95% CI 0.68-0.69), and 0.67 (95% CI 0.67-0.68), respectively. The centre-specific yielded an AUC of 0.71 (95% CI 0.71-0.72) with key predictors including age, duration of infertility, and endocrine parameters. All external models suggested underestimation. Among the external models, the rescaled McLernon 2022 model demonstrated the best calibration (Slope 1.12, intercept 0.06).

LIMITATIONS, REASONS FOR CAUTION

The study is limited by its single-centre design and may not be representative elsewhere. Only per-complete cycle validation was carried out to provide a similar framework to compare different models in the sample population. Newer predictors, such as AMH, were not used.

WIDER IMPLICATIONS OF THE FINDINGS

Existing pretreatment prediction models for IVF may be used to provide useful discriminatory power in populations different from those on which they were developed. However, models based on newer more relevant datasets may provide better calibrations.

STUDY FUNDING/COMPETING INTEREST(S)

This work was supported by the National Natural Science Foundation of China [grant number 22176159], the Xiamen Medical Advantage Subspecialty Construction Project [grant number 2018296], and the Special Fund for Clinical and Scientific Research of Chinese Medical Association [grant number 18010360765].

TRIAL REGISTRATION NUMBER

N/A.

Recent Status of Pregnancies at an Advanced Maternal Age at a Japanese Perinatal Center

Objective We compared the recent obstetric outcomes of women aged 40 and over as advanced maternal age (AMA) to those with AMA more than 10 years ago. Methods This was a retrospective study of primiparous singleton pregnancies who delivered at ≥22 weeks of gestation managed at Japanese Red Cross Katsushika Maternity Hospital between 2003-2007 and 2013-2017. Results The percentage of primiparous women aged with AMA who delivered at ≥22 weeks of gestation increased from 1.5 to 4.8% (p<0.01) due to the increase in the pregnancy conceived by in vitro fertilization (IVF). In the pregnancies with AMA, the percentage of cesarean delivery decreased from 51.7 to 41.0% (p=0.01), while the prevalence of postpartum hemorrhage increased from 7.5 to 14.9% (p=0.01). The latter was associated with an increased rate of in vitro fertilization (IVF) use. Conclusions The percentage of AMA pregnancies significantly increased with the development of assisted reproductive technology, and the prevalence of postpartum hemorrhage also increased in AMA pregnancies.

Clinical relevance of a newly developed endometrial receptivity test for patients with recurrent implantation failure in Japan

Purpose

To assess the clinical efficacy of personalized embryo transfer (pET) guided by a new endometrial receptivity test, ERPeakSM, in patients with recurrent implantation failure (RIF).

Methods

Recurrent implantation failure patients of all ages at two private Japanese clinics from April 2019 to June 2020 were retrospectively analyzed. The intervention group (n = 244) received pET in accordance with endometrial receptivity testing results and was compared to control group (n = 306) receiving standardized timing, non-personalized embryo transfer (npET). In propensity score matching analysis, the clinical pregnancy rate (CPR) and live birth rate (LBR) were compared between groups, and a subanalysis of advanced maternal age (AMA) (≥38 years old) versus non-AMA (<38 years old) patients was also conducted.

Results

The CPR and LBR of the pET group were significantly higher than those of the npET group (37.7% vs. 20.0%, adjusted OR: 2.64; 95%CI, 1.70-4.11, p < 0.001 and 29.9% vs. 9.7%, adjusted OR: 4.13; 95%CI, 2.40-7.13, p < 0.001, respectively). Furthermore, in the subanalyses, the CPR and LBR of the pET group were significantly higher than those of the npET group in both the AMA non-AMA patients.

Conclusions

The new ERPeakSM endometrial receptivity test is a useful alternative diagnostic tool for poor-prognosis patients, regardless of age.

Risk factors for resignation from work after starting infertility treatment among Japanese women: Japan-Female Employment and Mental health in Assisted reproductive technology (J-FEMA) study

OBJECTIVE

To elucidate the risk factors associated with resignation from work of Japanese women undergoing infertility treatment.

METHODS

A total of 1727 female patients who attended a private fertility clinic in Japan participated in the Japan-Female Employment and Mental health in Assisted reproductive technology study. Questions related to demographic, clinical and socioeconomic characteristics were employed in the questionnaire. Out of the 1727 patients, 1075 patients who were working at the time of initiating infertility treatment and felt infertility treatment incompatible with work were included in the analysis. Risk factors for resignation were assessed by using multivariable logistic regression models.

RESULTS

Among 1075 working women who started infertility treatment, 179 (16.7%) subsequently resigned. Multivariable-adjusted ORs for resignation in those with lower educational background and infertility for ≥2 years were 1.58 (95% CI: 1.07 to 2.34) and 1.82 (95% CI: 1.15 to 2.89), respectively. The OR for resignation in non-permanent workers undergoing infertility treatment was 2.65 (95% CI: 1.61 to 4.37). While experiencing harassment in the workplace approached significance, lack of support from the company was significantly associated with resignation after starting infertility treatment, with ORs of 1.71 (95% CI: 0.98 to 2.99) and 1.91 (95% CI: 1.28 to 2.86), respectively.

CONCLUSION

One-sixth of women resigned after starting infertility treatments. It was found that factors related to education, infertility duration and work environment were significantly associated with resignation. Reducing the physical and psychological burden endured by women, for example, by increasing employer-provided support, is vitally important in balancing infertility treatment with maintenance of work life.

Reporting on the Role of miRNAs and Affected Pathways on the Molecular Backbone of Ovarian Insufficiency: A Systematic Review and Critical Analysis Mapping of Future Research

Ovarian insufficiency is identified as a perplexing entity in the long list of pathologies impairing fertility dynamics. The three distinct classifications of ovarian insufficiency are poor ovarian response, premature ovarian insufficiency/failure, and advanced maternal age, sharing the common denominator of deteriorated ovarian reserve. Despite efforts to define clear lines among the three, the vast heterogeneity and overlap of clinical characteristics renders their diagnosis and management challenging. Lack of a consensus has prompted an empirically based management coupled by uncertainty from the clinicians' perspective. Profiling of patients in the era of precision medicine seems to be the way forward, while the necessity for a novel approach is underlined. Implicating miRNAs in the quest for patient profiling is promising in light of their fundamental role in cellular and gene expression regulation. To this end, the current study sets out to explore and compare the three pathophysiologies-from a molecular point of view-in order to enable profiling of patients in the context of in vitro fertilization treatment and enrich the data required to practice individualized medicine. Following a systematic investigation of literature, data referring to miRNAs were collected for each patient category based on five included studies. miRNA-target pairs were retrieved from the DIANA-TarBase repository and microT-CDS. Gene and miRNA annotations were derived from Ensembl and miRbase. A subsequent gene-set enrichment analysis of miRNA targets was performed for each category separately. A literature review on the most crucial of the detected pathways was performed to reveal their relevance to fertility deterioration. Results supported that all three pathophysiologies share a common ground regarding the affected pathways, naturally attributed to the common denominator of ovarian insufficiency. As evidenced, miRNAs could be employed to explore the fine lines and diverse nature of pathophysiology since they constitute invaluable biomarkers. Interestingly, it is the differentiation through miRNAs and not through the molecular affected pathways that corresponds to the three distinctive categories. Alarming discrepancies among publications were revealed, pertaining to employment of empirical and arbitrary criteria in categorizing the patients. Following bioinformatic analysis, the final step of the current study consisted of a critical analysis of the molecular data sourced, providing a clear and unique insight into the physiological mechanisms involved. It is our intention to contribute to mapping future research dedicated to ovarian insufficiency and to help researchers navigate the overwhelming information published in molecular studies.