Clinical outcomes of single blastocyst transfer with machine learning guided noninvasive chromosome screening grading system in infertile patients.

BACKGROUND: Prospective observational studies have demonstrated that the machine learning (ML) -guided noninvasive chromosome screening (NICS) grading system, which we called the noninvasive chromosome screening-artificial intelligence (NICS-AI) grading system, can be used embryo selection. The current prospective interventional clinical study was conducted to investigate whether this NICS-AI grading system can be used as a powerful tool for embryo selection. METHODS: Patients who visited our centre between October 2018 and December 2021 were recruited. Grade A and B embryos with a high probability of euploidy were transferred in the NICS group. The patients in the control group selected the embryos according to the traditional morphological grading. Finally, 90 patients in the NICS group and 161 patients in the control group were compared statistically for their clinical outcomes. RESULTS: In the NICS group, the clinical pregnancy rate (70.0% vs. 54.0%, p < 0.001), the ongoing pregnancy rate (58.9% vs. 44.7%, p = 0.001), and the live birth rate (56.7% vs. 42.9%, p = 0.001) were significantly higher than those of the control group. When the female was ≥ 35 years old, the clinical pregnancy rate (67.7% vs. 32.1%, p < 0.001), ongoing pregnancy rate (56.5% vs. 25.0%, p = 0.001), and live birth rate (54.8% vs. 25.0%, p = 0.001) in the NICS group were significantly higher than those of the control group. Regardless of whether the patients had a previous record of early spontaneous abortion or not, the live birth rate of the NICS group was higher than that of the control group (61.0% vs. 46.9%; 57.9% vs. 34.8%; 33.3% vs. 0%) but the differences were not statistically significant. CONCLUSIONS: NICS-AI was able to improve embryo utilisation rate, and the live birth rate, especially for those ≥ 35 years old, with transfer of Grade A embryos being preferred, followed by Grade B embryos. NICS-AI can be used as an effective tool for embryo selection in the future.

Planned oocyte cryopreservation to preserve future reproductive potential: an Ethics Committee opinion.

Planned oocyte cryopreservation is an ethically permissible procedure that may help individuals avoid future infertility. Because planned oocyte cryopreservation is new and evolving, it is essential that those considering using it be informed about the uncertainties regarding its efficacy and long-term effects. This replaces the document of the same name, last published in 2017.

Patient interest in and clinician reservations on polygenic embryo screening: a qualitative study of stakeholder perspectives.

PURPOSE: We explored and compared perspectives of reproductive endocrinology and infertility specialists (REIs) and in vitro fertilization (IVF) patients regarding polygenic embryo screening (PES), a new type of preimplantation screening that estimates the genetic chances of developing polygenic conditions and traits in the future. METHODS: Qualitative thematic analysis of semi-structured interviews with US-based REIs and IVF patients. RESULTS: Clinicians and patients often held favorable views of screening embryos for physical or psychiatric conditions, though clinicians tended to temper their positive attitudes with specific caveats. Clinicians also expressed negative views about screening embryos for traits more frequently than patients, who generally held more positive views. Most clinicians were either unwilling to discuss or offer PES to patients or were willing to do so only under certain circumstances, while many patients expressed interest in PES. Both stakeholder groups envisioned multiple potential benefits or uses of PES and raised multiple potential, interrelated concerns about PES. CONCLUSION: A gap exists between clinician and patient attitudes toward PES; clinicians generally maintained reservations about such screening and patients indicated interest in it. Clinicians and patients sometimes imagined using PES to prepare for the birth of a predisposed or "affected" individual-a rationale that is often associated with prenatal testing. Many clinicians and patients held different attitudes depending on what is specifically screened, despite the sometimes blurry distinction between conditions and traits. Considerations raised by clinicians and patients may help guide professional societies in developing guidelines to navigate the uncertain terrain of PES.

Predictors of success after in vitro fertilization.

The last few decades have witnessed a rise in the global uptake of in vitro fertilization (IVF) treatment. To ensure optimal use of this technology, it is important for patients and clinicians to have access to tools that can provide accurate estimates of treatment success and understand the contribution of key clinical and laboratory parameters that influence the chance of conception after IVF treatment. The focus of this review was to identify key predictors of IVF treatment success and assess their impact in terms of live birth rates. We have identified 11 predictors that consistently feature in currently available prediction models, including age, duration of infertility, ethnicity, body mass index, antral follicle count, previous pregnancy history, cause of infertility, sperm parameters, number of oocytes collected, morphology of transferred embryos, and day of embryo transfer.

How to minimize the dropout and crossover in an infertility trial?

Randomized controlled trials and intent-to-treat analyses are important for infertility clinical studies. Dropouts or crossovers during the study process will disrupt the randomization design and affect the intent-to-treat analysis. In this review, we have briefly introduced the occurrence of dropout and crossover from our previous Reproductive Medicine Network and other related studies and provided some experience obtained from these studies on how to minimize and reduce the occurrence of dropout and crossover for infertility randomized clinical studies.

Prophecy, prediction, and prognosis - can we improve the advice we give on the chance of pregnancy and treatment options for infertility?

Giving patients an accurate prognosis of their chances of achieving pregnancy is difficult with our current knowledge and technology. We need new approaches and thinking to provide truthful information.

Evaluating prognosis in unexplained infertility.

IMPORTANCE: The diagnosis of unexplained infertility presents a dilemma as it signifies both uncertainty about the cause of infertility and the potential for natural conception. Immediate treatment of all would result in overtreatment. Prediction models estimating the likelihood of natural conception and subsequent live birth can guide treatment decisions. OBJECTIVE: To evaluate if in couples with unexplained infertility, prediction models are effective in guiding treatment decisions. EVIDENCE REVIEW: This review examines 25 studies that assess prediction models for natural conception in couples with unexplained infertility in terms of derivation, validation, and impact analysis. FINDINGS: The largest prediction models have been integrated in the synthesis models of Hunault, which includes female age and infertility duration, having been pregnant before and motile sperm percentage. Despite its limited discriminative capacity, this model demonstrates excellent calibration. Importantly, the impact of the Hunault model has been evaluated in randomized clinical trials, and shows that in couples with unexplained infertility and 12-month natural conception chances exceeding 30%, immediate treatment with intrauterine insemination (IUI) and controlled ovarian hyperstimulation is not better than expectant management for 6 months. Below the threshold of 30%, treatment with IUI is superior over expectant management, but immediate in vitro fertilization was not better than IUI. CONCLUSION: In couples with unexplained infertility and a good prognosis for natural conception, treatment can be delayed, whereas in couples with a poor prognosis, immediate treatment (with IUI-controlled ovarian hyperstimulation) is warranted. RELEVANCE: These data indicate that in couples with unexplained infertility, integration of prediction models into clinical decision making can optimize treatment selection and maximize fertility outcomes while limiting unnecessary treatment.

Psychosocial Impact of Infertility Diagnosis and Conformity to Gender Norms on the Quality of Life of Infertile Spanish Couples.

Epidemiological data show that human reproductive disorders are a common problem worldwide, affecting almost one in six people of reproductive age. As a result, infertility has been identified by the World Health Organization as a public health disease. Reproductive problems can take a heavy toll on the psychosocial well-being of couples suffering from infertility. This is especially true for women, who tend to be the ones who undergo the most treatment. The main objective of the present study is to find out whether a sex-based infertility diagnosis influences the quality of life of couples with infertility. Also, we aim to find out whether the degree of adherence to gender norms influences their quality of life. A cross-sectional study was conducted using the Fertility Quality of Life Questionnaire (FertiQoL) and the Conformity to Feminine and Masculine Norms Inventories in a sample of 219 infertile Spanish couples (438 participants). The results show that, in all cases, regardless of the degree of conformity to gender norms and whether the infertility diagnosis was of female or male origin, women have lower scores on the self-perceived quality of life. This suggests that being female is already a psychosocial risk factor when assessing the psychosocial consequences of infertility.

Tobacco or marijuana use and infertility: a committee opinion.

In the United States, approximately 21% of adults report some form of tobacco use, although 18% report marijuana use. Although the negative impact of tobacco use in pregnancy is well documented, the impact of tobacco and marijuana on fertility and reproduction is less clear. This committee opinion reviews the potential deleterious effects of tobacco, nicotine, and marijuana use on conception, ovarian follicular dynamics, sperm parameters, gamete mutations, early pregnancy, and assisted reproductive technology outcomes. It also reviews the current status of tobacco smoking cessation strategies. This document replaces the 2018 American Society for Reproductive Medicine Practice Committee document entitled Smoking and Infertility: a committee opinion (Fertil Steril 2018).

Association of duration of embryo culture with risk of large for gestational age delivery in cryopreserved embryo transfer cycles.

OBJECTIVE: To examine the relationship between the day of embryo cryopreservation and large for gestational age (LGA) infants in women undergoing frozen embryo transfers (FETs) after cryopreservation on days 2-7 after fertilization and to compare the risk of the day of embryo cryopreservation to other possible risk factors of LGA after FET cycles. DESIGN: Retrospective cohort study. SETTING: Society of Assisted Reproduction Clinical Outcomes Reporting System. PATIENTS: Women undergoing FET cycles. INTERVENTION: Day of cryopreservation. MAIN OUTCOME MEASURE: Singleton LGA infant. RESULTS: A total of 33,030 (18.2%) FET cycles in the study group (n = 181,592) resulted in LGA infants during the study period of 2014-2019. There was an increase in LGA risk when cryopreservation was performed from day 2 (13.7%) to days 3-7 (14.4%, 15.0%, 18.2%, 18.5%, and 18.9%). In the log-binomial model, the risk increased compared with days 2-3 combined when cryopreservation was performed on days 5-7 (adjusted relative risk [aRR] 1.32, 95% confidence interval [CI] 1.22-1.44 for day 5, aRR 1.34, 95% CI 1.23-1.46 for day 6, and aRR 1.42, 95% CI 1.25-1.61 for day 7). Other factors most associated with LGA risk in the log-binomial model were preterm parity of >3 compared with 0 (aRR 1.82, 95% CI 1.24-2.69) and body mass index (BMI) of >35 kg/m2 compared with normal weight (aRR 1.94, 95% CI 1.88-2.01). Increasing gravity, parity, BMI, number of oocytes, and embryo grade were also associated with LGA in this model. Asian, Black, Hispanic, and combined Hawaiian and Pacific Islander were protective factors in the model compared with White patients. Low BMI (<18.5 kg/m2) was also considered a protective factor in the model compared with normal BMI. CONCLUSION: Duration of embryo culture was associated with an increased risk of LGA in this study cohort when controlling for known confounders such as maternal BMI and parity. This study sheds new light on the possible link between FET and LGA infants.

Comparison of outcomes between intracytoplasmic sperm injection and in vitro fertilization inseminations with preimplantation genetic testing for aneuploidy, analysis of Society for Assisted Reproductive Technology Clinic Outcome Reporting System data.

OBJECTIVE: To evaluate whether insemination via intracytoplasmic sperm injection (ICSI) provides any benefit over in vitro fertilization (IVF) insemination for nonmale factor infertility with respect to preimplantation genetic testing (PGT) results and pregnancy outcome. DESIGN: Retrospective cohort study of the Society for Assisted Reproductive Technology database. SETTINGS: US-based fertility clinics reporting to the Society for Assisted Reprodcutive Technology. PATIENTS: Patients undergoing IVF or ICSI inseminations in nonmale factor PGT for aneuploidy cycles. INTERVENTION: In vitro fertilization vs. ICSI inseminations. MAIN OUTCOME MEASURES: Primary outcomes were the percentage of embryos suitable for transfer and live birth rates (LBRs). Secondary outcomes included subgroup analysis for embryos suitable for transfer on cycles from patients ≥35-year-old vs. <35-year-old, ≤6 oocytes retrieved vs. >6 oocytes retrieved, and unexplained infertility. Additionally, gestational age at delivery and birth weight between IVF and ICSI inseminations were evaluated. RESULTS: A total of 30,446 nonmale factor PGT diagnoses for aneuploidy cycles were evaluated, of which 4,867 were IVF inseminations and 25,579 were ICSI inseminations. Following exclusion criteria and adjustment for any necessary confounding variables, no significant differences existed in embryos suitable for transfer between IVF and ICSI treatment cycles, 41.6% (40.6%, 42.6%) vs. 42.5% (42.0%, 42.9%), respectively, or in LBRs, 50.1% (37.8, 62.4%) vs. 50.8% (38.5%, 62.9%), respectively. CONCLUSION: There were no significant differences in the rates of embryos suitable for transfer and LBRs between IVF and ICSI inseminations in nonmale factor cycles undergoing PGT for aneuploidy.