Literature DB >> 33638032

Does quantity equal quality?-A morphokinetic assessment of embryos obtained from young women with decreased ovarian response to controlled ovarian stimulation.

Natali Schachter-Safrai1, Yoav Kan-Tor2,3, Gilad Karavani4, Yuval Or5, Yoel Shufaro6, Iris Har-Vardi7,8, Amnon Buxboim2,3, Assaf Ben-Meir1,9.   

Abstract

PURPOSE: To assess oocyte quality in young patients with decreased ovarian response to controlled ovarian stimulation using time-lapse analysis.
METHODS: A retrospective cohort study conducted at five medical centers between 2013 and 2017. The "decreased ovarian response" (DOR) group consisted of 241 women who underwent controlled ovarian stimulation with ≤ 5 retrieved oocytes and 519 cultured embryos. The "normal response" (NOR) group consisted of 667 women with ≥ 6 retrieved oocytes resulting in 3633 embryos. Data included annotation of morphokinetic events of embryos cultured in a time-lapse incubator from time of pronuclei appearance to time of starting blastocyst formation (tSB). Comparison was made between morphokinetic parameters of DOR and NOR patients with additional subgroup analysis according to the implantation status.
RESULTS: Implantation and clinical pregnancy rates were significantly higher in the NOR group compared with the DOR group (44.5% vs. 31.6% and 51.5% vs. 37.7%, respectively; p < 0.05). Embryos from the DOR group reached the morphokinetic milestones later than embryos obtained from NOR patients. In the DOR group, implanted embryos reached starting blastocyst formation (tSB) faster than embryos which failed to be implanted, however, manifested a protracted course compared with implanted embryos from the NOR group. In a multivariate analysis-decreased ovarian response, nulliparity, number of transferred embryos, and t4, and were predictive for implantation.
CONCLUSIONS: The quantitative decrease in ovarian response is associated with reduced oocyte quality, reflected by a slower developmental rate and lower implantation and pregnancy rates.

Entities:  

Keywords:  Low ovarian response; Morphokinetics; Poor ovarian response; Time-lapse monitoring system

Mesh:

Year:  2021        PMID: 33638032      PMCID: PMC8190327          DOI: 10.1007/s10815-021-02113-4

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.412


  21 in total

1.  Increased concentrations of follicle-stimulating hormone in mothers of children with Down's syndrome.

Authors:  J M van Montfrans; M Dorland; G J Oosterhuis; J M van Vugt; L T Rekers-Mombarg; C B Lambalk
Journal:  Lancet       Date:  1999-05-29       Impact factor: 79.321

2.  Basal level of anti-Müllerian hormone is associated with oocyte quality in stimulated cycles.

Authors:  T Ebner; M Sommergruber; M Moser; O Shebl; E Schreier-Lechner; G Tews
Journal:  Hum Reprod       Date:  2006-05-05       Impact factor: 6.918

3.  Antimüllerian hormone predicts ovarian responsiveness, but not embryo quality or pregnancy, after in vitro fertilization or intracyoplasmic sperm injection.

Authors:  Jesper M J Smeenk; Fred C G J Sweep; Gerhard A Zielhuis; Jan A M Kremer; Chris M G Thomas; Didi D M Braat
Journal:  Fertil Steril       Date:  2006-11-01       Impact factor: 7.329

4.  The use of morphokinetics as a predictor of embryo implantation.

Authors:  Marcos Meseguer; Javier Herrero; Alberto Tejera; Karen Marie Hilligsøe; Niels Birger Ramsing; Jose Remohí
Journal:  Hum Reprod       Date:  2011-08-09       Impact factor: 6.918

5.  Elevated day 3 serum follicle stimulating hormone and/or estradiol may predict fetal aneuploidy.

Authors:  A Nasseri; T Mukherjee; J A Grifo; N Noyes; L Krey; A B Copperman
Journal:  Fertil Steril       Date:  1999-04       Impact factor: 7.329

6.  Time-lapse parameters as predictors of blastocyst development and pregnancy outcome in embryos from good prognosis patients: a prospective cohort study.

Authors:  K Kirkegaard; U S Kesmodel; J J Hindkjær; H J Ingerslev
Journal:  Hum Reprod       Date:  2013-07-30       Impact factor: 6.918

7.  Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles.

Authors:  Sesh Kamal Sunkara; Vivian Rittenberg; Nick Raine-Fenning; Siladitya Bhattacharya; Javier Zamora; Arri Coomarasamy
Journal:  Hum Reprod       Date:  2011-05-10       Impact factor: 6.918

8.  Expected poor ovarian response in predicting cumulative pregnancy rates: a powerful tool.

Authors:  Dave J Hendriks; Egbert R te Velde; Caspar W N Looman; László F J M M Bancsi; Frank J M Broekmans
Journal:  Reprod Biomed Online       Date:  2008-11       Impact factor: 3.828

9.  Morphokinetic analysis and embryonic prediction for blastocyst formation through an integrated time-lapse system.

Authors:  Yamileth Motato; María José de los Santos; María José Escriba; Belén Aparicio Ruiz; José Remohí; Marcos Meseguer
Journal:  Fertil Steril       Date:  2015-11-17       Impact factor: 7.329

10.  Evolution of embryo selection for IVF from subjective morphology assessment to objective time-lapse algorithms improves chance of live birth.

Authors:  Simon Fishel; Alison Campbell; Fiona Foad; Laina Davies; Louise Best; Natalie Davis; Rachel Smith; Samantha Duffy; Stacy Wheat; Sue Montgomery; Audrey Wachter; Ashley Beccles
Journal:  Reprod Biomed Online       Date:  2019-10-17       Impact factor: 3.828

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