Literature DB >> 9673880

Multivariate analysis of factors predictive of successful live births in in vitro fertilization (IVF) suggests strategies to improve IVF outcome.

D Minaretzis1, D Harris, M M Alper, J F Mortola, M J Berger, D Power.   

Abstract

PURPOSE: Our purpose was (1) to identify characteristics correlated with pregnancy outcome, (2) to use these characteristics to predict in vitro fertilization (IVF) outcome, and (3) to develop strategies that might improve IVF success.
METHODS: Maternal age, cause for IVF, donor insemination, rank of attempt, serum estradiol and luteinizing hormone levels on the day of human chorionic gonadotropin administration, flexible vs rigid catheter, number of embryos transferred of each morphologic type, and cell number were analyzed by logistic regression.
RESULTS: Variables positively correlated with success are as follows: (1) for pregnancy, endometriosis and 2-, 3-, and 4-cell good and 4-cell excellent embryos; (2) for live births, 2-, 3-, and 4-cell good and 4-cell excellent embryos and donor insemination; and (3) for multiple births, 2- and 4-cell good and 4-cell excellent embryos. Maternal age was negatively correlated with live births.
CONCLUSIONS: Embryos derived from IVF have different potentials for implantation, live births, and multiple births. Transferring one additional good-quality embryo for each 5 years of incremental increase in maternal age is predicated to improve live birth rates without increasing multiple births.

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Year:  1998        PMID: 9673880      PMCID: PMC3455016          DOI: 10.1023/a:1022528915761

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.412


  15 in total

1.  The relationship between embryo quality and the occurrence of multiple pregnancies.

Authors:  C Staessen; M Camus; N Bollen; P Devroey; A C Van Steirteghem
Journal:  Fertil Steril       Date:  1992-03       Impact factor: 7.329

2.  A prospective study of prognostic factors in in vitro fertilization and embryo transfer.

Authors:  E G Hughes; C King; E C Wood
Journal:  Fertil Steril       Date:  1989-05       Impact factor: 7.329

3.  Embryo implantation after human in vitro fertilization: importance of endometrial receptivity.

Authors:  R J Paulson; M V Sauer; R A Lobo
Journal:  Fertil Steril       Date:  1990-05       Impact factor: 7.329

4.  Embryo scoring as a prognostic tool in IVF treatment.

Authors:  F Puissant; M Van Rysselberge; P Barlow; J Deweze; F Leroy
Journal:  Hum Reprod       Date:  1987-11       Impact factor: 6.918

5.  Implantation potential of each pre-embryo in multiple pregnancies obtained by in vitro fertilization seems to be different.

Authors:  A A Acosta; S Y Moon; S Oehninger; S J Muasher; Z Rosenwaks; J F Matta
Journal:  Fertil Steril       Date:  1988-12       Impact factor: 7.329

6.  Expectations of assisted conception for infertility.

Authors:  M G Hull; H A Eddowes; U Fahy; M I Abuzeid; M S Mills; D J Cahill; C F Fleming; P G Wardle; W C Ford; A McDermott
Journal:  BMJ       Date:  1992-06-06

7.  Assisted reproductive technology in the United States and Canada: 1991 results from the Society for Assisted Reproductive Technology generated from the American Fertility Society Registry.

Authors: 
Journal:  Fertil Steril       Date:  1993-05       Impact factor: 7.329

8.  Association of endometriosis and spontaneous abortion: effect of control group selection.

Authors:  D A Metzger; D L Olive; G F Stohs; R R Franklin
Journal:  Fertil Steril       Date:  1986-01       Impact factor: 7.329

9.  Age, pregnancy and miscarriage: uterine versus ovarian factors.

Authors:  H I Abdalla; G Burton; A Kirkland; M R Johnson; T Leonard; A A Brooks; J W Studd
Journal:  Hum Reprod       Date:  1993-09       Impact factor: 6.918

10.  The impact of long-term gonadotropin-releasing hormone analogue treatment on preclinical abortions in patients with severe endometriosis undergoing in vitro fertilization-embryo transfer.

Authors:  D Dicker; J A Goldman; T Levy; D Feldberg; J Ashkenazi
Journal:  Fertil Steril       Date:  1992-03       Impact factor: 7.329

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  9 in total

1.  To what extent does Anti-Mullerian Hormone contribute to a better prediction of live birth after IVF?

Authors:  Catherine Rongieres; Carolina Colella; Philippe Lehert
Journal:  J Assist Reprod Genet       Date:  2014-11-05       Impact factor: 3.412

Review 2.  Sperm function and assisted reproduction technology.

Authors:  Ralf Henkel; Gesa MAAß; Rolf-Hasso Bödeker; Christine Scheibelhut; Thomas Stalf; Claas Mehnert; Hans-Christian Schuppe; Andreas Jung; Wolf-Bernhard Schill
Journal:  Reprod Med Biol       Date:  2005-03-07

3.  Factors affecting assisted reproductive technology (ART) pregnancy rates: a multivariate analysis.

Authors:  Tiffany L Rhodes; Thomas P McCoy; H Lee Higdon; William R Boone
Journal:  J Assist Reprod Genet       Date:  2005-10       Impact factor: 3.412

4.  A decrease in serum estradiol levels after human chorionic gonadotrophin administration predicts significantly lower clinical pregnancy and live birth rates in in vitro fertilization cycles.

Authors:  L A Kondapalli; T A Molinaro; M D Sammel; A Dokras
Journal:  Hum Reprod       Date:  2012-06-29       Impact factor: 6.918

5.  External validation and calibration of IVFpredict: a national prospective cohort study of 130,960 in vitro fertilisation cycles.

Authors:  Andrew D A C Smith; Kate Tilling; Debbie A Lawlor; Scott M Nelson
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

Review 6.  Prediction models in in vitro fertilization; where are we? A mini review.

Authors:  Laura van Loendersloot; S Repping; P M M Bossuyt; F van der Veen; M van Wely
Journal:  J Adv Res       Date:  2013-05-09       Impact factor: 10.479

7.  Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study.

Authors:  Qingsong Xi; Qiyu Yang; Meng Wang; Bo Huang; Bo Zhang; Zhou Li; Shuai Liu; Liu Yang; Lixia Zhu; Lei Jin
Journal:  Reprod Biol Endocrinol       Date:  2021-04-05       Impact factor: 5.211

8.  Nomogram based on clinical and laboratory characteristics of euploid embryos using the data in PGT-A: a euploid-prediction model.

Authors:  Xitong Liu
Journal:  BMC Pregnancy Childbirth       Date:  2022-03-17       Impact factor: 3.007

Review 9.  Models Predicting Success of Infertility Treatment: A Systematic Review.

Authors:  Alireza Zarinara; Hojjat Zeraati; Koorosh Kamali; Kazem Mohammad; Parisa Shahnazari; Mohammad Mehdi Akhondi
Journal:  J Reprod Infertil       Date:  2016 Apr-Jun
  9 in total

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