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Time-lapse imaging algorithms rank human preimplantation embryos according to the probability of live birth

Fishel, Simon, Campbell, Alison, Montgomery, Sue, Smith, Rachel, Nice, Lynne, Duffy, Samantha, Jenner, Lucy, Berrisford, Kathryn, Kellam, Louise, Smith, Rob, and others. (2018) Time-lapse imaging algorithms rank human preimplantation embryos according to the probability of live birth. Reproductive BioMedicine Online, 37 (3). pp. 304-313. ISSN 1472-6483. (doi:10.1016/j.rbmo.2018.05.016) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:84037)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1016/j.rbmo.2018.05.016

Abstract

Research question: Can blastocysts leading to live births be ranked according to morphokinetic-based algorithms? Design: Retrospective analysis of 781 single blastocyst embryo transfers, including all patient clinical factors that might be potential confounders for the primary outcome measure of live birth, was weighed using separate multi-variable logistic regression models. Results: There was strong evidence of effect of embryo rank on odds of live birth. Embryos were classified A, B, C or D according to calculated variables; time to start (tSB) and duration (dB{tB – tSB}) of blastulation. Embryos of rank D were less likely to result in live birth than embryos of rank A (odds ratio [OR] 0.3046; 95% confidence interval [CI] 0.129, 0.660; P < 0.005). Embryos ranked B were less likely to result in live birth than those ranked A (OR 0.7114; 95% Cl 0.505, 1.001; P < 0.01), and embryos ranked C were less likely to result in live birth than those ranked A (OR 0.6501, 95% Cl 0.373, 1.118; P < 0.01). Overall, the LRT (Likelihood Ratio Test) p-value for embryo rank shows that there is strong evidence that embryo rank is informative as a whole in discriminating between live birth and no live birth outcomes (p = 0.0101). The incidence of live birth was 52.5% from rank A, 39.2% from rank B, 31.4% from rank C and 13.2% from rank D. Conclusions: Time-lapse imaging morphokinetic-based algorithms for blastocysts can provide objective hierarchical ranking of embryos for predicting live birth and may have greater discriminating power than conventional blastocyst morphology assessment.

Item Type: Article
DOI/Identification number: 10.1016/j.rbmo.2018.05.016
Subjects: Q Science
Divisions: Divisions > Division of Natural Sciences > School of Biosciences
Depositing User: Alison Campbell
Date Deposited: 10 Nov 2020 12:43 UTC
Last Modified: 10 Nov 2020 12:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/84037 (The current URI for this page, for reference purposes)
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