Literature DB >> 15652882

Egg production predicts a doubling of in vitro fertilization pregnancy rates even within defined age and ovarian reserve categories.

Melissa C Yih1, Steven D Spandorfer, Zev Rosenwaks.   

Abstract

OBJECTIVE: To examine the age-independent association of ovarian response and IVF outcome in women with normal and abnormal ovarian reserve.
DESIGN: Retrospective analysis.
SETTING: Academic IVF center. PATIENT(S): Four thousand eight hundred sixty-two consecutive IVF cycles. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Outcome of IVF was analyzed as a function of ovarian response to controlled ovarian hyperstimulation and ovarian reserve. RESULT(S): The mean patient age was 36.2 +/- 4.5 years. Younger patients and patients with normal ovarian reserve were found to have better implantation and clinical pregnancy rates. Patients with normal ovarian reserve had a higher number of oocytes retrieved, mature oocytes, two-pronuclei embryos, and embryos transferred. A greater number of embryos were transferred for patients with higher ovarian response. Higher clinical pregnancy rates were seen in those patients who had more oocytes retrieved for all patients, regardless of age and ovarian reserve. In fact, clinical pregnancy rates more than doubled for specific patient groups. CONCLUSION(S): In an age-independent fashion, ovarian response is highly predictive of IVF outcome in women with normal and abnormal ovarian reserve. These findings highlight the importance of not solely relying on age when presenting and discussing IVF outcome data and are useful information when helping patients interpret their IVF cycle response.

Entities:  

Mesh:

Year:  2005        PMID: 15652882     DOI: 10.1016/j.fertnstert.2004.05.096

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


  8 in total

1.  Is ABO blood type associated with ovarian stimulation response in patients with diminished ovarian reserve?

Authors:  Nigel Pereira; Anne P Hutchinson; Jennifer L Bender; Jovana P Lekovich; Rony T Elias; Zev Rosenwaks; Steven D Spandorfer
Journal:  J Assist Reprod Genet       Date:  2015-05-03       Impact factor: 3.412

2.  Is the presence of a non-cleaved embryo on day 3 associated with poorer quality of the remaining embryos in the cohort?

Authors:  Ronit Machtinger; Charles L Bormann; Elizabeth S Ginsburg; Catherine Racowsky
Journal:  J Assist Reprod Genet       Date:  2015-03-15       Impact factor: 3.412

3.  Poor-responder patients do not benefit from intracytoplasmic morphologically selected sperm injection.

Authors:  Amanda Souza Setti; Daniela Paes Almeida Ferreira Braga; Rita Cassia Sávio Figueira; Assumpto Iaconelli; Edson Borges
Journal:  J Assist Reprod Genet       Date:  2015-01-18       Impact factor: 3.412

4.  Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.

Authors:  Aswathi Cheredath; Shubhashree Uppangala; Asha C S; Ameya Jijo; Vani Lakshmi R; Pratap Kumar; David Joseph; Nagana Gowda G A; Guruprasad Kalthur; Satish Kumar Adiga
Journal:  Reprod Sci       Date:  2022-09-12       Impact factor: 2.924

5.  Optimal Oocyte Number in Controlled Ovarian Stimulation with Gonadotropin-Releasing Hormone Agonist/Antagonist and Day 3 Fresh Embryo Transfer.

Authors:  Hoon Kim; Soo Jin Han; Yun Soo Hong; Sung Woo Kim; Seung-Yup Ku; Chang Suk Suh; Seok Hyun Kim
Journal:  Reprod Sci       Date:  2021-03-24       Impact factor: 3.060

6.  Does the number of oocytes retrieved influence pregnancy after fresh embryo transfer?

Authors:  Qianfang Cai; Fei Wan; Kai Huang; Hanwang Zhang
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

Review 7.  Embryological aspects of oocyte in vitro maturation.

Authors:  Mir Mehrdad Farsi; Nematollah Kamali; Mohsen Pourghasem
Journal:  Int J Mol Cell Med       Date:  2013

Review 8.  Recombinant human follicle-stimulating hormone (r-hFSH) plus recombinant luteinizing hormone versus r-hFSH alone for ovarian stimulation during assisted reproductive technology: systematic review and meta-analysis.

Authors:  Philippe Lehert; Efstratios M Kolibianakis; Christos A Venetis; Joan Schertz; Helen Saunders; Pablo Arriagada; Samuel Copt; Basil Tarlatzis
Journal:  Reprod Biol Endocrinol       Date:  2014-02-20       Impact factor: 5.211

  8 in total

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