Literature DB >> 22633263

Cumulative newborn rates increase with the total number of transferred embryos according to an analysis of 15,792 ovum donation cycles.

Nicolás Garrido1, José Bellver, José Remohí, Pilar Alamá, Antonio Pellicer.   

Abstract

OBJECTIVE: To measure the success of in vitro fertilization (IVF) of donated ova according to cumulative newborn rates (CNBR) per number of embryos required to achieve at least one newborn (EmbR), considering in addition the relevance of age and infertility etiology.
DESIGN: Survival curves and Kaplan-Meier methods were employed to analyze CNBR with respect to the number of EmbR in a retrospective cohort of oocyte donation recipients.
SETTING: University-affiliated infertility center. PATIENT(S): Infertile couples undergoing IVF with oocyte donation. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): CNBR per EmbR. RESULT(S): The CNBR increased radically (up to 64.8%) between 1 and 5 EmbR, moderately (85.2%) between 5 and 15, and slowly thereafter, reaching a plateau at 15 embryos (92.4%) and peaking after 25 EmbR (96.8%), thus demonstrating that the chances of success vary as failed attempts accumulate. Patient age was not a negative factor, and indication for oocyte donation was also irrelevant to the outcome. The data showed an overall mean number of 2.6 embryo transfers and 5.8 transferred embryos per newborn. CONCLUSION(S): The relationship between CNBR and number of EmbR provides pragmatic and exact information about the probability of success with oocyte donation, which is of obvious relevance to patient counseling.
Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22633263     DOI: 10.1016/j.fertnstert.2012.04.039

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


  7 in total

1.  Ovarian stimulation and in-vitro fertilization outcomes of cancer patients undergoing fertility preservation compared to age matched controls: a 17-year experience.

Authors:  Eden R Cardozo; Alexcis P Thomson; Anatte E Karmon; Kristy A Dickinson; Diane L Wright; Mary E Sabatini
Journal:  J Assist Reprod Genet       Date:  2015-01-18       Impact factor: 3.412

2.  Sperm lipidic profiles differ significantly between ejaculates resulting in pregnancy or not following intracytoplasmic sperm injection.

Authors:  Rocio Rivera-Egea; Nicolas Garrido; Nerea Sota; Marcos Meseguer; Jose Remohí; Francisco Dominguez
Journal:  J Assist Reprod Genet       Date:  2018-08-14       Impact factor: 3.412

3.  Differential sperm proteomic profiles according to pregnancy achievement in intracytoplasmic sperm injection cycles: a pilot study.

Authors:  Nicolas Garrido; Francisco Dominguez; Rocio Rivera-Egea; Nerea Sota; Roberto González-Martín; Marcos Meseguer; Jose Remohí
Journal:  J Assist Reprod Genet       Date:  2021-04-09       Impact factor: 3.357

4.  Relationship of Number of Embryos Transferred with Perinatal Outcome of Singleton Pregnancy.

Authors:  Shilpa Bhandari; Ishita Ganguly; Pallavi Agarwal; Niharika Munaganuru; Nitika Gupta; Aparna Singh
Journal:  J Reprod Infertil       Date:  2017 Jan-Mar

5.  Sperm Selection by Magnetic-Activated Cell Sorting before Microinjection of Autologous Oocytes Increases Cumulative Live Birth Rates with Limited Clinical Impact: A Retrospective Study in Unselected Males.

Authors:  María Gil Juliá; Irene Hervás; Ana Navarro-Gómez Lechón; Fernando Quintana; David Amorós; Alberto Pacheco; Cristina González-Ravina; Rocío Rivera-Egea; Nicolás Garrido
Journal:  Biology (Basel)       Date:  2021-05-12

Review 6.  Is oocyte donation a risk factor for preeclampsia? A systematic review and meta-analysis.

Authors:  Anna Blázquez; Désirée García; Amelia Rodríguez; Rita Vassena; Francesc Figueras; Valérie Vernaeve
Journal:  J Assist Reprod Genet       Date:  2016-03-23       Impact factor: 3.357

Review 7.  Sperm selection in natural conception: what can we learn from Mother Nature to improve assisted reproduction outcomes?

Authors:  Denny Sakkas; Mythili Ramalingam; Nicolas Garrido; Christopher L R Barratt
Journal:  Hum Reprod Update       Date:  2015-09-19       Impact factor: 15.610

  7 in total

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