Literature DB >> 16113044

Dynamic assays of inhibin B, anti-Mullerian hormone and estradiol following FSH stimulation and ovarian ultrasonography as predictors of IVF outcome.

Talia Eldar-Geva1, Avraham Ben-Chetrit, Irving M Spitz, Ron Rabinowitz, Einat Markowitz, Tzvia Mimoni, Michael Gal, Edit Zylber-Haran, Ehud J Margalioth.   

Abstract

BACKGROUND: We evaluated basal and dynamic hormonal markers [(FSH, inhibin B, estradiol and anti-Mullerian hormone (AMH)] during the follicular phase and luteal phase of the menstrual cycle and ultrasonic ovarian morphology as predictors of IVF outcome.
METHODS: Fifty-six women, aged <38 years, with normal day 3 FSH levels were included prospectively. Serum estradiol, inhibin B and AMH were measured before and 24 h after administration of 300 IU of recombinant FSH on cycle day 3-4 and during the luteal phase. Ovarian volume and antral follicle count (AFC) were evaluated on cycle day 3-4. The predictive value of oocyte number and pregnancy were assessed using uni- and multivariate analysis.
RESULTS: Poor responders (<6 oocytes) had significantly lower luteal AMH levels, while high responders (>20 oocytes) had significantly higher AFC, AMH and luteal stimulated inhibin B and estradiol than normal responders. Multivariate regression analyses showed that the best models for predicting oocyte number included AFC, follicular phase AMH and stimulated inhibin B. Only AMH showed a significant difference between pregnant and non-pregnant women at both cycle phases.
CONCLUSIONS: In young women (<38 years), AFC or basal AMH and stimulated inhibin B predict ovarian response for IVF. The only predictor for pregnancy is follicular or luteal phase AMH.

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Year:  2005        PMID: 16113044     DOI: 10.1093/humrep/dei203

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  54 in total

1.  The role of serum AMH and FF AMH in predicting pregnancy outcome in the fresh cycle of IVF/ICSI: a meta-analysis.

Authors:  Lingnv Yao; Wei Zhang; Hong Li; Wenqin Lin
Journal:  Int J Clin Exp Med       Date:  2015-02-15

2.  Anti-Mullerian hormone normogram in an Irish subfertile population.

Authors:  M N Naasan; C Harrity; L Pentony; E Mocanu
Journal:  Ir J Med Sci       Date:  2014-02-23       Impact factor: 1.568

3.  Ovarian biomarkers predict controlled ovarian stimulation for in vitro fertilisation treatment in Singapore.

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Journal:  Singapore Med J       Date:  2020-09       Impact factor: 1.858

4.  Antral follicle count determines poor ovarian response better than anti-Müllerian hormone but age is the only predictor for live birth in in vitro fertilization cycles.

Authors:  Mehmet Firat Mutlu; Mehmet Erdem; Ahmet Erdem; Sule Yildiz; Ilknur Mutlu; Ozgur Arisoy; Mesut Oktem
Journal:  J Assist Reprod Genet       Date:  2013-03-19       Impact factor: 3.412

5.  Correlation of serum Anti-Müllerian hormone concentrations on day 3 of the in vitro fertilization stimulation cycle with assisted reproduction outcome in polycystic ovary syndrome patients.

Authors:  Wenyan Xi; Fei Gong; Guangxiu Lu
Journal:  J Assist Reprod Genet       Date:  2012-03-02       Impact factor: 3.412

6.  A novel mathematical model of true ovarian reserve assessment based on predicted probability of poor ovarian response: a retrospective cohort study.

Authors:  Huiyu Xu; Guoshuang Feng; Haiyan Wang; Yong Han; Rui Yang; Ying Song; Lixue Chen; Li Shi; Meng Qian Zhang; Rong Li; Jie Qiao
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Review 7.  Anti-Müllerian hormone as a marker of ovarian reserve: What have we learned, and what should we know?

Authors:  Akira Iwase; Tomoko Nakamura; Satoko Osuka; Sachiko Takikawa; Maki Goto; Fumitaka Kikkawa
Journal:  Reprod Med Biol       Date:  2015-11-23

8.  Serum anti-Müllerian hormone predicts ovarian response and cycle outcome in IVF patients.

Authors:  Cheng-Hsuan Wu; Yu-Ching Chen; Hsin-Hung Wu; Jyuer-Ger Yang; Yu-Jun Chang; Horng-Der Tsai
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9.  Bu Shen Tiao Chong recipe restores diminished ovary reserve through the BDNF pathway.

Authors:  Tian Xia; Yu Fu; Shuang Li; Ruihong Ma; Zhimei Zhao; Baojuan Wang; Chune Chao
Journal:  J Assist Reprod Genet       Date:  2016-04-19       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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