Objective: To estimate birth weight differences between patients randomized to fresh or thawed ET.
Design: Post hoc analysis of results from two similar randomized trials.
Setting: Private fertility center.
Patient(s): One hundred thirty-four first-time IVF patients, ages 18-40 years at oocyte retrieval, who had live birth.
Intervention(s): Patients were randomly assigned to have either fresh blastocyst transfer or all bipronuclear oocytes frozen followed by thaw, extended culture, and blastocyst transfer in a subsequent cycle. Preimplantation genetic screening was not allowed.
Main Outcome Measure(s): Mean birth weight.
Result(s): After allowing for the contributions of multiple significant variables (gestational age at birth, the presence of a vanished twin, number of infants delivered) in multiple linear regression, the adjusted mean birth weight was 166 g (95% confidence interval, 43-290 g) lower after fresh blastocyst transfer when compared with transfer of blastocysts derived from thawed bipronuclear oocytes.
Conclusion(s): Birth weights are lower in cycles with fresh blastocyst transfer after controlled ovarian stimulation than in transfers of frozen-thawed embryos in the absence of ovarian stimulation. This finding confirms similar results reported in many retrospective studies.
Clinical Trial Registration Numbers: NCT00963625 and NCT00963079.
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http://dx.doi.org/10.1016/j.fertnstert.2016.03.049 | DOI Listing |
J Clin Med
December 2024
Collegium Medicum, WSB University, 41-300 Dąbrowa Górnicza, Poland.
: To assess the ploidy status of embryos via preimplantation genetic testing for aneuploidy (PGT-A), a biopsy of trophectoderm (TE) cells can be performed. However, this approach is considered invasive, and therefore the aim of this study was to identify the optimal sample type and sampling day for non-invasive or minimally invasive PGT-A (ni/miPGT-A) in terms of data quality and concordance rates with TE biopsies derived from the same embryos. : This study was performed using 239 embryo cultures.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Obstetrics and Gynecology, IVF-Unit, Acibadem Kayseri Hospital, 38140 Kayseri, Türkiye.
The downregulation of anti-adhesive regulatory proteins and upregulation of adhesive genes are critical for the receptive endometrium. This study was designed to determine whether switching between the anti-adhesive podocalyxin (PDX) and adhesive HOXA10 receptivity modulator occurs in the endometrium of women with recurrent implantation failure (RIF). Twenty-four patients with RIF who could not conceive for three or more cycles despite good-quality embryo transfer constituted the study group.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Obstetrics & Gynecology, Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
This prospective study aims to identify the effect of the dienogest 2 mg/day and aspirin 150 mg/day combined treatment for two months before frozen ET on the assisted reproduction outcome in women with adenomyosis and recurrent implantation failure (RIF). Patients were selected based on specific criteria and divided into two groups (with and without treatment). Preimplantation biochemical parameters and ultrasonographic features (endometrial thickness, uterine peristalsis, and junctional zone thickness) were compared with pregnancy rate in a non-natural cycle frozen embryo transfer technique.
View Article and Find Full Text PDFSci Rep
January 2025
Laboratory of Veterinary Embryology and Biotechnology (VETEMBIO), Veterinary Medical Center and College of Veterinary Medicine, Chungbuk National University, Cheongju, Republic of Korea.
Taiwan J Obstet Gynecol
January 2025
Division of Reproductive Medicine, Department of Obstetrics and Gynecology, Taipei Medical University Hospital, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. Electronic address:
The objective of this review is to evaluate the contributions of Artificial Intelligence (AI) to Assisted Reproductive Technologies (ART), focusing on its role in enhancing the processes and outcomes of fertility treatments. This study analyzed 48 relevant articles to assess the impact of AI on various aspects of ART, including treatment efficacy, process optimization, and outcome prediction. The effectiveness of different machine learning paradigms-supervised, unsupervised, and reinforcement learning-in improving ART-related procedures was particularly examined.
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