Fishel, Simon, Campbell, Alison, Montgomery, Sue, Smith, Rachel, Nice, Lynne, Duffy, Samantha, Jenner, Lucy, Berrisford, Kathyrn, Kellam, Louise, Smith, Rob, and others. (2017) Live births after embryo selection using morphokinetics versus conventional morphology: a retrospective analysis. Reproductive BioMedicine Online, 35 (4). pp. 407-416. ISSN 1472-6483. (doi:10.1016/j.rbmo.2017.06.009) (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:84035)
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.2017.06.009 |
Abstract
The increasing corpus of clinical studies using time-lapse imaging for embryo selection demonstrates considerable variation in study protocols and only limited-sized study cohorts. Outcome measures are based on implantation or clinical pregnancy; some predict blastulation from early cleavage-stage data, and few have evaluated live birth. Erroneously, most studies treat the embryos as independent variables and do not include patient or treatment variables in the statistical analyses. In this study, cohort size was 14,793 patients and 23,762 cycles. The incidence of live birth (n = 973 deliveries) after embryo selection by objective morphokinetic algorithms was compared with conventional embryology selection parameters (n = 6948 deliveries). A 19% increase in the incidence of live birth was observed when morphokinetic data were used to select embryos for the patient cohort aged younger than 38 years (OR 1.19 with 95% CI 1.06 to 1.34) using their own eggs, and an increase of 37% for oocyte recipients aged over 37 years (OR 1.370; 95% Cl 0.763 to 2.450). This is the largest study of the prospective use of time-lapse imaging algorithms in IVF reporting on live birth outcome, although the nature of purely a closed system versus standard incubation could not be assessed.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.rbmo.2017.06.009 |
Subjects: | Q Science |
Divisions: | Divisions > Division of Natural Sciences > Biosciences |
Depositing User: | Alison Campbell |
Date Deposited: | 10 Nov 2020 12:32 UTC |
Last Modified: | 05 Nov 2024 12:50 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/84035 (The current URI for this page, for reference purposes) |
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