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- Title
Impact of cell loss after warming of human vitrified day 3 embryos on obstetric outcome in single frozen embryo transfers.
- Authors
Di Guardo, Federica; Racca, A.; Coticchio, G.; Borini, A.; Drakopoulos, P.; Mackens, S.; Tournaye, H.; Verheyen, G.; Blockeel, C.; Van Landuyt, L.
- Abstract
Purpose: Does cell loss (CL) after vitrification and warming (V/W) of day 3 embryos have an impact on live birth rate (LBR) and neonatal outcomes? Method: This retrospective analysis includes cleavage stage day 3 embryos vitrified/warmed between 2011 and 2018. Only single vitrified/warmed embryo transfers were included. Pre-implantation genetic screening, oocyte donation, and age banking were excluded from the analysis. The sample was divided into two groups: group A (intact embryo after warming) and group B (≤ 50% blastomere loss after warming). Results: On the total embryos (n = 2327), 1953 were fully intact (83.9%, group A) and 374 presented cell damage (16.1%, group B). In group B, 62% (232/374) of the embryos had lost only one cell. Age at cryopreservation, cause of infertility, insemination procedure, and semen origin were comparable between the two groups. The positive hCG rate (30% and 24.3%, respectively, for intact vs CL group, p = 0.028) and LBR (13.7% and 9.4%, respectively, for intact vs CL group, p = 0.023) per warming cycle were significantly higher for intact embryos. However, LBR per positive hCG was equivalent between intact and damaged embryos (45.6% vs 38.5%, respectively, p = 0.2). Newborn measurements (length, weight, and head circumference at birth) were comparable between the two groups. Multivariate logistic regression showed that the presence of CL is not predictive for LB when adjusting for patients' age. Conclusions: LBR is significantly higher after transfer of an intact embryo compared to an embryo with CL after warming; however, neonatal outcomes are comparable between the two groups.
- Subjects
FROZEN human embryos; EMBRYO transfer; EMBRYOS; BIRTH rate; GENETIC testing; HUMAN in vitro fertilization; LOGISTIC regression analysis
- Publication
Journal of Assisted Reproduction & Genetics, 2022, Vol 39, Issue 9, p2069
- ISSN
1058-0468
- Publication type
Article
- DOI
10.1007/s10815-022-02572-3