Literature DB >> 21147822

Multi-marker assessment of ovarian reserve predicts oocyte yield after ovulation induction.

Majedah Al-Azemi1, Stephen R Killick, Sheila Duffy, Clare Pye, Bassem Refaat, Natalie Hill, William Ledger.   

Abstract

BACKGROUND: Many hormone and ultrasound measurements have been assessed as possible markers of ovarian reserve and to identify potential poor responders to ovulation induction. The objective of this study is to determine whether multiple biomarkers measured in blood samples collected immediately before commencement of ovulation induction for IVF can predict the outcome of ovarian stimulation.
METHODS: We conducted a prospective observational study, including 356 unselected women undergoing ovulation induction/IVF at two centers. Anti-Müllerian hormone (AMH), inhibin B and FSH were measured before commencement of ovulation induction. The main outcome measures were the number of oocytes retrieved and pregnancy outcome.
RESULTS: Univariate analyses showed that age, FSH, inhibin B and AMH were significant predictors for poor oocyte yield. AMH presented the highest receiver operating characteristic area under the curve (ROC(AUC)) of 0.827 indicating a good discriminating potential for predicting poor ovarian response, followed by FSH with an ROC(AUC) of 0.721. In the multivariate analysis, the variables age, FSH and AMH remained significant and the resulting model provided a high ROC(AUC) of 0.819. Women with an ovarian reserve test of <0.3 have more than a 75% chance of having their treatment cycle canceled, but a value over 0.73 indicates a 38% chance of pregnancy. Number of oocytes and oocyte yield per unit FSH administered were correlated with log model for no pregnancy (r = -0.217, P < 0.001 and r = -0.367, P < 0.001, respectively) but had limited predictive value.
CONCLUSIONS: A derived estimate of ovarian reserve demonstrated superior ability for predicting oocyte yield after ovulation induction when compared with any single endocrine marker (AMH, inhibin B, FSH).

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Year:  2010        PMID: 21147822     DOI: 10.1093/humrep/deq339

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


  22 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.  Basal serum testosterone levels correlate with ovarian response but do not predict pregnancy outcome in non-PCOS women undergoing IVF.

Authors:  Bo Sun; Fang Wang; Jing Sun; Wenzhu Yu; Yingpu Sun
Journal:  J Assist Reprod Genet       Date:  2014-05-22       Impact factor: 3.412

3.  Anti-müllerian hormone levels as a predictor of the pregnancy rate in women of advanced reproductive age.

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Journal:  J Assist Reprod Genet       Date:  2014-09-04       Impact factor: 3.412

Review 4.  Testosterone therapy for women with poor ovarian response undergoing IVF: a meta-analysis of randomized controlled trials.

Authors:  Marco Noventa; Amerigo Vitagliano; Alessandra Andrisani; Mija Blaganje; Paola Viganò; Enrico Papaelo; Marco Scioscia; Francesco Cavallin; Guido Ambrosini; Mauro Cozzolino
Journal:  J Assist Reprod Genet       Date:  2019-01-05       Impact factor: 3.412

5.  Ovarian sensitivity index is strongly related to circulating AMH and may be used to predict ovarian response to exogenous gonadotropins in IVF.

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Journal:  Reprod Biol Endocrinol       Date:  2011-08-09       Impact factor: 5.211

6.  Age specific serum anti-Müllerian hormone levels in 1,298 Korean women with regular menstruation.

Authors:  Ji Hee Yoo; Hye Ok Kim; Sun Wha Cha; Chan Woo Park; Kwang Moon Yang; In Ok Song; Mi Kyoung Koong; Inn Soo Kang
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7.  Serum anti-Müllerian hormone levels as a predictor of the ovarian response and IVF outcomes.

Authors:  Min Hye Choi; Ji Hee Yoo; Hye Ok Kim; Sun Hwa Cha; Chan Woo Park; Kwang Moon Yang; In Ok Song; Mi Kyoung Koong; Inn Soo Kang
Journal:  Clin Exp Reprod Med       Date:  2011-09-30

8.  Ovarian reserve assessment for infertility investigation.

Authors:  Bruno Ramalho de Carvalho; David Barreira Gomes Sobrinho; Andréa Duarte Damasceno Vieira; Manoela Porto Silva Resende; Antônio César Paes Barbosa; Adelino Amaral Silva; Hitomi Miura Nakagava
Journal:  ISRN Obstet Gynecol       Date:  2012-01-26

9.  Comparison of Specificity and Sensitivity of AMH and FSH in Diagnosis of Premature Ovarian Failure.

Authors:  Farzaneh Alipour; Athar Rasekhjahromi; Mehrnoosh Maalhagh; Saeid Sobhanian; Masoumeh Hosseinpoor
Journal:  Dis Markers       Date:  2015-05-31       Impact factor: 3.434

10.  Poor responders in in vitro fertilization (IVF) therapy: the challenge continues.

Authors:  S Oehninger
Journal:  Facts Views Vis Obgyn       Date:  2011
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