Literature DB >> 22326608

Intra-age, intercenter, and intercycle differences in chromosome abnormalities in oocytes.

Santiago Munné1, Karsten R Held, Cristina M Magli, Baris Ata, Dagan Wells, Elpida Fragouli, Vera Baukloh, Robert Fischer, Luca Gianaroli.   

Abstract

OBJECTIVE: To determine the extent of intra-age and intercycle variations in the frequency of first polar body aneuploidy in two consecutive cycles of oocyte retrieval undertaken by the same patient within 1 year.
DESIGN: Retrospective study.
SETTING: Fertility centers. PATIENT(S): Infertile couples undergoing IVF. INTERVENTION(S): Patients underwent two consecutive cycles of preimplantation genetic screening through first polar body biopsy within 1 year. MAIN OUTCOME MEASURE(S): Meiosis I aneuploidy. RESULT(S): A total of 226 patients underwent 452 cycles of preimplantation genetic screening. Differences within age groups were wide, with 0-100% of oocytes being chromosomally normal in all age groups. Euploidy rates between centers were significantly different (48% vs. 25%). Intercycle differences for the same patient were also wide (0-100%), but with 68.5% of patients having less than ±2 euploid eggs of difference between cycles. CONCLUSION(S): Although euploidy rate decreased on average with advancing maternal age, the high intra-age and intercenter variation in oocyte chromosome abnormalities emphasize the difficulty in estimating how many euploid oocytes a specific woman will have. This may have repercussions for fertility preservation where a defined number of eggs are currently frozen just based on maternal age.
Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22326608     DOI: 10.1016/j.fertnstert.2012.01.106

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  5 in total

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Journal:  J Assist Reprod Genet       Date:  2019-02-21       Impact factor: 3.412

Review 2.  The menopause and aging, a comparative perspective.

Authors:  Caleb E Finch
Journal:  J Steroid Biochem Mol Biol       Date:  2013-04-10       Impact factor: 4.292

3.  Predicting the Likelihood of Live Birth in Assisted Reproductive Technology According to the Number of Oocytes Retrieved and Female Age Using a Generalized Additive Model: A Retrospective Cohort Analysis of 17,948 Cycles.

Authors:  Haiyan Zhu; Chenqiong Zhao; Peiwen Xiao; Songying Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-04-30       Impact factor: 5.555

Review 4.  Lifestyle factors and reproductive health: taking control of your fertility.

Authors:  Rakesh Sharma; Kelly R Biedenharn; Jennifer M Fedor; Ashok Agarwal
Journal:  Reprod Biol Endocrinol       Date:  2013-07-16       Impact factor: 5.211

5.  Commentary: A Novel Predictive Model to Estimate the Number of Mature Oocytes Required for Obtaining at Least One Euploid Blastocyst for Transfer in Couples Undergoing in vitro Fertilization/Intracytoplasmic Sperm Injection: The ART Calculator.

Authors:  Robert Fischer; Vera Baukloh
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-02       Impact factor: 5.555

  5 in total

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