Literature DB >> 11239536

Embryo score is a better predictor of pregnancy than the number of transferred embryos or female age.

P Terriou1, C Sapin, C Giorgetti, E Hans, J L Spach, R Roulier.   

Abstract

OBJECTIVE: To compare the value of 17 IVF variables, including a new mean score of transferred embryos (MSTE), in predicting pregnancy rate.
DESIGN: Retrospective study.
SETTING: Private IVF unit. PATIENT(S): Women who underwent 10,000 embryo transfers. MAIN OUTCOME MEASURE(S): Duration of infertility, type of infertility, female age, rank of IVF attempt, type of ovarian treatment, progesterone level, sperm count, sperm motility, sperm morphology, number of retrieved oocytes, number of mature oocytes, maturation rate, number of embryos obtained, fertilization rate, number of transferred embryos, cumulative embryo score (CES), mean score of transferred embryos (MSTE), and pregnancy rate. RESULT(S): Outcome of IVF-ET was significantly correlated with female age, type of infertility, number of retrieved oocytes, number of mature oocytes, maturation rate, embryos obtained, fertilization rate, transferred embryos, CES, and MSTE. Multivariate analysis demonstrated that MSTE was a better predictor of pregnancy than the number of transferred embryos and female age. CONCLUSION(S): Embryo quality is the best predictor of pregnancy. The embryo score described herein should be used in IVF-ET programs to choose the best embryos for transfer.

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Year:  2001        PMID: 11239536     DOI: 10.1016/s0015-0282(00)01741-6

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


  29 in total

1.  Cycle characteristics of day 3 embryo transfers with 4-cell embryos only.

Authors:  G Ertzeid; R Storeng; T Tanbo; P O Dale; S Bjercke; T Abyholm
Journal:  J Assist Reprod Genet       Date:  2003-09       Impact factor: 3.412

2.  Cumulative embryo score, not endometrial thickness, is best for pregnancy prediction in IVF.

Authors:  Cassie Laasch; Elizabeth Puscheck
Journal:  J Assist Reprod Genet       Date:  2004-02       Impact factor: 3.412

3.  The impact of pronuclear orientation to select chromosomally normal embryos.

Authors:  Edson Júnior Borges; Lia Mara Rossi; Leila Farah; Patricia Guilherme; Claudia C Rocha; Valdemar Ortiz; Assumpto Júnior Iaconelli
Journal:  J Assist Reprod Genet       Date:  2005-03       Impact factor: 3.412

4.  Embryo morphology score on day 3 is predictive of implantation and live birth rates.

Authors:  Sara J Dennis; Michael A Thomas; Daniel B Williams; Jared C Robins
Journal:  J Assist Reprod Genet       Date:  2006-05-03       Impact factor: 3.412

5.  Cumulative exposure to high estradiol levels during the follicular phase of IVF cycles negatively affects implantation.

Authors:  Murat Arslan; Silvina Bocca; Ebru Ozturk Arslan; Hakan E Duran; Laurel Stadtmauer; Sergio Oehninger
Journal:  J Assist Reprod Genet       Date:  2007-02-16       Impact factor: 3.412

6.  Pregnancy outcome and live birth after IVF and ICSI according to embryo quality.

Authors:  Patricia Fauque; Roger Léandri; Françoise Merlet; Jean-Claude Juillard; Sylvie Epelboin; Juliette Guibert; Pierre Jouannet; Catherine Patrat
Journal:  J Assist Reprod Genet       Date:  2007-03-06       Impact factor: 3.412

7.  A quantitative assessment of follicle size on oocyte developmental competence.

Authors:  Mitchell P Rosen; Shehua Shen; Anthony T Dobson; Paolo F Rinaudo; Charles E McCulloch; Marcelle I Cedars
Journal:  Fertil Steril       Date:  2008-02-04       Impact factor: 7.329

8.  Is there an advantage in scoring early embryos on more than one day?

Authors:  Catherine Racowsky; Lucila Ohno-Machado; Jihoon Kim; John D Biggers
Journal:  Hum Reprod       Date:  2009-06-02       Impact factor: 6.918

9.  Defining women who are prone to have twins in in vitro fertilization--a necessary step towards single embryo transfer.

Authors:  Dan Hellberg; Maria Blennborn; Staffan Nilsson
Journal:  J Assist Reprod Genet       Date:  2005-05       Impact factor: 3.412

10.  Impact of female age and male infertility on ovarian reserve markers to predict outcome of assisted reproduction technology cycles.

Authors:  Tsung-Hsien Lee; Chung-Hsien Liu; Chun-Chia Huang; Kung-Chen Hsieh; Pi-Mei Lin; Maw-Sheng Lee
Journal:  Reprod Biol Endocrinol       Date:  2009-09-17       Impact factor: 5.211

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