Literature DB >> 12568845

Statistical analysis of factors affecting fertilization rates and clinical outcome associated with intracytoplasmic sperm injection.

Shehua Shen1, Amin Khabani, Nancy Klein, David Battaglia.   

Abstract

OBJECTIVE: To identify and evaluate the statistically significant predictors of intracytoplasmic sperm injection (ICSI) fertilization rates and clinical pregnancy in a single population using appropriate statistical techniques.
DESIGN: Retrospective study.
SETTING: Fertility and Endocrinology Center, University of Washington Medical Center, Seattle, Washington. PATIENT(S): Four hundred forty-one patients undergoing their first attempt at IVF-ICSI from January 1, 1999, to May 21, 2001. INTERVENTION(S): Each ICSI procedure for an individual patient was performed by a single operator. Sperm parameters, oocyte age, culture condition, ICSI technique, and ICSI operator were assessed as variables influencing the fertilization rate. We also assessed the impact of patient age, serum E(2) concentration on the day of hCG administration, embryo quality, and number of embryos transferred on the probability of achieving a clinical pregnancy. MAIN OUTCOME MEASURE(S): Fertilization rate and clinical pregnancy. RESULT(S): The 2 pronuclei (2PN) rate was significantly correlated with sperm motility, and there were significant differences in the 2PN rates among the ICSI operators. There was no difference in the 2PN rate among different sperm types or among the eight laboratory incubators or whether the eggs were cultured individually or in groups. Patient age, serum E(2) concentration on the day of hCG administration, embryo quality, and number of embryos transferred were all statistically significant predictors of clinical pregnancy. CONCLUSION(S): In our program, sperm motility and ICSI operator are the two most important predictors for the ICSI fertilization rate in vitro. Patient age, serum E(2) concentration on the day of hCG administration, embryo quality, and number of embryos transferred were all statistically significant predictors of clinical pregnancy.

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Year:  2003        PMID: 12568845     DOI: 10.1016/s0015-0282(02)04675-7

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


  10 in total

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Journal:  J Assist Reprod Genet       Date:  2012-05-30       Impact factor: 3.412

2.  Embryo quality and implantation rates are not influenced by total motile count values in an ICSI programme: a novel point of view.

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Journal:  Int J Mol Epidemiol Genet       Date:  2012-08-31

3.  The combined use of antimullerian hormone and age to predict the ovarian response to controlled ovarian hyperstimulation in poor responders: A novel approach.

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Journal:  J Hum Reprod Sci       Date:  2013-10

4.  The effectiveness of flow cytometric sorting of human sperm (MicroSort®) for influencing a child's sex.

Authors:  David S Karabinus; Donald P Marazzo; Harvey J Stern; Daniel A Potter; Chrispo I Opanga; Marisa L Cole; Lawrence A Johnson; Joseph D Schulman
Journal:  Reprod Biol Endocrinol       Date:  2014-11-24       Impact factor: 5.211

5.  Analysis of 232 total fertilization failure cycles during intracytoplasmic sperm injection.

Authors:  Esma Sarikaya; Ozlem Gun Eryilmaz; Ruya Deveer; Muammer Dogan; Leyla Mollamahmutoglu
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6.  Fabrication on the microscale: a two-photon polymerized device for oocyte microinjection.

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7.  Impact of GnRH ovarian stimulation protocols on intracytoplasmic sperm injection outcomes.

Authors:  Fátima Pinto; Cristiano Oliveira; Margarida F Cardoso; José Teixeira-da-Silva; Joaquina Silva; Mário Sousa; Alberto Barros
Journal:  Reprod Biol Endocrinol       Date:  2009-01-15       Impact factor: 5.211

Review 8.  Assisted reproductive technologies in rhesus macaques.

Authors:  Don P Wolf
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9.  Body mass index and pregnancy outcome after assisted reproduction treatment.

Authors:  Khaled Kasim; Ahmed Roshdy
Journal:  Int J Reprod Med       Date:  2014-03-05

10.  Infertility-related stress, anxiety and ovarian stimulation: can couples be reassured about the effects of psychological factors on biological responses to assisted reproductive technology?

Authors:  Zaira Donarelli; Gianluca Lo Coco; Salvatore Gullo; Angelo Marino; Aldo Volpes; Laura Salerno; Adolfo Allegra
Journal:  Reprod Biomed Soc Online       Date:  2016-11-05
  10 in total

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