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A theoretical model for single blastocyst transfer.

ABSTRACT: OBJECTIVE: To elucidate the relationship between embryo grade and ART outcomes and determine how to decrease multiple pregnancy rates by assigning patients to single embryo transfer (SET) instead of dual embryo transfer (DET) according to embryo grade and/or availability. DESIGN: Retrospective medical record review. SETTING: IVF fertility center. PATIENTS: 247 women undergoing day 5 DET after in vitro fertilization or intracytoplasmic sperm injection treatment. METHODS: We retrospectively investigated embryo grade and outcomes on day 5 DET and calculated theoretical multiple pregnancy rates by assigning patients to SET instead of DET according to a combination of embryo grades and availability. MAIN OUTCOMES MEASURES: Implantation, pregnancy, multiple pregnancy, expected pregnancy and expected multiple pregnancy rates. RESULTS: Embryo grade affects implantation rates so that embryo transfer of at least one embryo with grade > or = 3BB resulted in high multiple pregnancy rates as well as high pregnancy rates. By performing DET, the clinical pregnancy rate was 39.9% with a multiple pregnancy rate of 33.3%; however, had SET been performed with an embryo graded 3BB or better, theoretical calculated pregnancy rates would have dropped to 35.8% but with a multiple pregnancy rate of 7.2%. CONCLUSIONS: Our model showed that cases having at least one embryo with grade > or = 3BB might serve as suitable candidates for SET.

SUBMITTER: Teranishi A

PROVIDER: S-EPMC2729859 | biostudies-other | 2009 Jun

REPOSITORIES: biostudies-other

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Project description:BackgroundThe objective of this study was to explore the clinical application of noninvasive chromosomal screening (NICS) for elective single-blastocyst transfer (eSBT) in frozen-thawed cycles.MethodsThis study retrospectively analysed the data of 212 frozen-thawed single-blastocyst transfers performed in our centre from January 2019 to July 2019. The frozen embryos were selected based on morphological grades and placed in preincubation for 6 h after warming. Then spent microdroplet culture media of frozen-thawed blastocysts were harvested and subjected to NICS. The clinical outcomes were evaluated and further stratified analysis were performed, especially different fertilization approaches.ResultsThe clinical pregnancy, ongoing pregnancy, and live birth rates in the euploidy group were significantly higher than those in the aneuploidy group (56.2% versus 29.4%) but were nonsignificantly different from those in the chaotic abnormal/NA embryos group (56.2% versus 60.4%). Compared with day6 (D6) blastocysts, D5 blastocysts had a nonsignificantly different euploidy rate (40.4% versus 48.1%, P = 0.320) but significantly increased clinical pregnancy (57.7% versus 22.2%, P < 0.001), ongoing pregnancy (48.1% versus 14.8%, P < 0.001), and live birth rates (48.1% versus 13.0%, P < 0.001). The percentage of chaotic abnormal/NA embryos group was significantly higher among D5 embryos than among D6 embryos (30.1% versus 11.1%, P = 0.006). The percentage of aneuploid embryos was higher among the embryos with lower morphological quality(21.5% among 'good' embryos versus 34.6% among 'fair' embryos versus 46.0% among 'poor' embryos, P = 0.013); correspondingly, the overall clinical pregnancy, ongoing pregnancy and live birth rate rates showed similar declines.ConclusionsNICS combined with morphological assessment is an effective tool to guide frozen-thawed SBT. The optimal embryo for SBT is a 'euploid embryo with good morphology', followed sequentially by a 'chaotic abnormal/NA embryo with good morphology', 'euploid embryo with fair morphology', and 'chaotic abnormal/NA embryo with fair morphology'.

Project description:IntroductionThe 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 methodsWe 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.ResultsThe 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.ConclusionsOur 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.

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A theoretical model for single blastocyst transfer.

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