Literature DB >> 26416777

What are the best predictors for successful GnRH antagonist protocol in in vitro fertilization (IVF) treatment?

Nivin Samara1, Daniel Reis1, Netanella Danielli Miller1, Yehudith Ghetler1, Arie Berkovitz1, Moses Miller1, Ofer Gonen1, Adrian Shulman1, Amir Wiser1.   

Abstract

OBJECTIVE: To determine factors that affect the success rate of GnRH antagonist protocol in in vitro fertilization (IVF) treatment.
DESIGN: Retrospective cohort study. PATIENTS: Patients who underwent IVF cycle with their first GnRH antagonist protocol. INTERVENTION: Antagonist protocol during IVF treatment. The main outcome measurements were; Number of retrieved oocytes, embryo quality and pregnancy rate.
RESULTS: Gravidity was negatively correlated with number of eggs (p = 0.017), while total follicle number ≥15 (p = 0.044) and E(2) on day of human chorionic gonadotropin (HCG) (p = 0.000) had a positive correlation with number of eggs. Maximum follicle size at HCG administration showed a trend toward an inverse correlation (p = 0.053). Addition of LH to drug stimulation was negatively correlated with number of eggs in comparison to rFSH only (p = 0.013 and 0.0000, respectively). Age and number of frozen eggs were negatively correlated with successful pregnancy (p = 0.025 and 0.004, respectively), while embryo quality, gravidity and number of embryos were positive (p = 0.011 and 0.014, respectively).
CONCLUSION: Controlled parameters like timing of antagonist start, duration of antagonist and the optimal leading follicle diameter for HCG triggering had no effect on treatment outcomes.

Entities:  

Keywords:  Embryo quality; GnRH antagonist; IVF; pregnancy rate

Mesh:

Substances:

Year:  2015        PMID: 26416777     DOI: 10.3109/09513590.2015.1081680

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  3 in total

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Authors:  N Purandare; G Emerson; C Kirkham; C Harrity; D Walsh; E Mocanu
Journal:  Ir J Med Sci       Date:  2016-11-07       Impact factor: 1.568

2.  Do trained reproductive endocrinologists perform better than their trainees? Comparing clinical pregnancy rates and live birth rates after transfer of single fresh blastocysts.

Authors:  Sadikah Behbehani; Joseph Hasson; Stefano Polesello; W Y Son; Togas Tulandi; William Buckett
Journal:  J Assist Reprod Genet       Date:  2018-02-09       Impact factor: 3.412

3.  Factors affecting clinical outcomes after IVF-ET for infertile young patients with ovarian endometrioma: A 5-year retrospective cohort study.

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Journal:  Medicine (Baltimore)       Date:  2022-07-01       Impact factor: 1.817

  3 in total

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