Literature DB >> 33043373

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

Ryan Wai Kheong Lee1, Lay Wai Khin1, Marianne Sybille Hendricks2, Heng Hao Tan3, Sadhana Nadarajah3, Nancy Wen Sim Tee4, Seong-Feei Loh2, Bee Choo Tai5,6, Jerry Ky Chan3,7.   

Abstract

INTRODUCTION: Ovarian biomarkers have been shown to predict responses to controlled ovarian hyperstimulation (COH) during in vitro fertilisation (IVF) in predominantly Caucasian populations, with limited studies performed in Southeast Asian women in Singapore.
METHODS: We evaluated the performance of serum anti-Müllerian hormone (AMH), follicle-stimulating hormone and oestradiol levels, antral follicle count (AFC), body mass index, ovarian volume, and age to establish thresholds for the prediction of poor (< 4 oocytes retrieved) and excessive responses (> 19 oocytes retrieved) in 263 women undergoing COH. Univariate and multivariate logistic regression analysis and receiver operating characteristic curves were used to calculate probabilities for poor and excessive responders to COH.
RESULTS: 36 (13.7%) and 50 (19.0%) women had poor and excessive response to COH, respectively. An AMH value of 0.69 ng/mL predicted poor ovarian response with positive likelihood ratio (LR) of 2.94, compared to an AFC of ≤ 5 when the positive LR is 2.36. Conversely, an AMH value of ≥ 3.06 ng/mL predicted excessive ovarian response with positive LR of 2.24, compared to an AFC cut-off of ≥ 12 with positive LR of 1.93.
CONCLUSION: AMH levels and AFC are equivalent in the prediction of both poor and excessive ovarian response in women undergoing IVF. Our study highlights the importance of establishing population-specific cut-off biomarker values so that protocols can be tailored to optimise IVF treatment. Copyright: © Singapore Medical Association.

Entities:  

Keywords:  biomarkers; fertilisation; ovarian; stimulation

Year:  2020        PMID: 33043373      PMCID: PMC7927167          DOI: 10.11622/smedj.2020130

Source DB:  PubMed          Journal:  Singapore Med J        ISSN: 0037-5675            Impact factor:   1.858


  31 in total

1.  Serum anti-Müllerian hormone levels: a novel measure of ovarian reserve.

Authors:  I A J van Rooij; F J M Broekmans; E R te Velde; B C J M Fauser; L F J M M Bancsi; F H de Jong; A P N Themmen
Journal:  Hum Reprod       Date:  2002-12       Impact factor: 6.918

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

Authors:  Talia Eldar-Geva; Avraham Ben-Chetrit; Irving M Spitz; Ron Rabinowitz; Einat Markowitz; Tzvia Mimoni; Michael Gal; Edit Zylber-Haran; Ehud J Margalioth
Journal:  Hum Reprod       Date:  2005-08-19       Impact factor: 6.918

3.  Measurement of serum anti-Müllerian hormone by Beckman Coulter ELISA and DSL ELISA: comparison and relevance in assisted reproduction technology (ART).

Authors:  Thomas Fréour; Sophie Mirallié; Kalyane Bach-Ngohou; Marc Denis; Paul Barrière; Damien Masson
Journal:  Clin Chim Acta       Date:  2006-06-20       Impact factor: 3.786

4.  Simplified 4-item criteria for polycystic ovary syndrome: A bridge too far?

Authors:  Inthrani R Indran; Zhongwei Huang; Lay Wai Khin; Jerry K Y Chan; Veronique Viardot-Foucault; Eu Leong Yong
Journal:  Clin Endocrinol (Oxf)       Date:  2018-06-19       Impact factor: 3.478

5.  Anti-Müllerian hormone versus antral follicle count for defining the starting dose of FSH.

Authors:  Vuong Thi Ngoc Lan; Nguyen Khanh Linh; Ho Manh Tuong; P C Wong; Colin M Howles
Journal:  Reprod Biomed Online       Date:  2013-07-23       Impact factor: 3.828

Review 6.  Polymorphisms in gonadotropin and gonadotropin receptor genes as markers of ovarian reserve and response in in vitro fertilization.

Authors:  Antonio La Marca; Giovanna Sighinolfi; Cindy Argento; Valentina Grisendi; Livio Casarini; Annibale Volpe; Manuela Simoni
Journal:  Fertil Steril       Date:  2013-02-04       Impact factor: 7.329

7.  Prediction of an excessive response in in vitro fertilization from patient characteristics and ovarian reserve tests and comparison in subgroups: an individual patient data meta-analysis.

Authors:  Simone L Broer; Madeleine Dólleman; Jeroen van Disseldorp; Kimiko A Broeze; Brent C Opmeer; Patrick M M Bossuyt; Martinus J C Eijkemans; Ben Willem Mol; Frank J M Broekmans
Journal:  Fertil Steril       Date:  2013-05-28       Impact factor: 7.329

Review 8.  The physiology and clinical utility of anti-Mullerian hormone in women.

Authors:  Didier Dewailly; Claus Yding Andersen; Adam Balen; Frank Broekmans; Nafi Dilaver; Renato Fanchin; Georg Griesinger; Tom W Kelsey; Antonio La Marca; Cornelius Lambalk; Helen Mason; Scott M Nelson; Jenny A Visser; W Hamish Wallace; Richard A Anderson
Journal:  Hum Reprod Update       Date:  2014-01-14       Impact factor: 15.610

9.  Anti-mullerian hormone and antral follicle count as predictors of ovarian response in assisted reproduction.

Authors:  Y Himabindu; M Sriharibabu; Kk Gopinathan; Usha Satish; T Fessy Louis; Parasuram Gopinath
Journal:  J Hum Reprod Sci       Date:  2013-01

10.  Age-related nomograms for antral follicle count and anti-Mullerian hormone for subfertile Chinese women in Singapore.

Authors:  See Ling Loy; Yin Bun Cheung; Marielle Valerie Fortier; Chiou Li Ong; Heng Hao Tan; Sadhana Nadarajah; Jerry Kok Yen Chan; Veronique Viardot-Foucault
Journal:  PLoS One       Date:  2017-12-14       Impact factor: 3.240

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Authors:  Tiing Leong Ang; Kian Keong Poh
Journal:  Singapore Med J       Date:  2021-01       Impact factor: 1.858

Review 2.  Thyroid and COVID-19: a review on pathophysiological, clinical and organizational aspects.

Authors:  G Lisco; A De Tullio; E Jirillo; V A Giagulli; G De Pergola; E Guastamacchia; V Triggiani
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