Literature DB >> 27351446

Quantifying the intraindividual variation of antimüllerian hormone in the ovarian cycle.

Narelle Hadlow1, Suzanne J Brown2, Afsana Habib3, Robert Wardrop4, John Joseph4, Melissa Gillett3, Rhonda Maguire4, Johan Conradie3.   

Abstract

OBJECTIVE: To quantify intraindividual variability of antimüllerian hormone (AMH) as analytical and biological coefficients of variation and assess the effects of variation on clinical classification.
DESIGN: Retrospective cohort study.
SETTING: Not applicable. PATIENT(S): Thirty-eight women referred by general practitioners. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Total intraindividual variability (CVW), analytical (CVA) and biological variability (CVI) for each woman and for AMH ranges: low (<5 pmol/L), reduced (5-10), moderate (>10-30) and high (>30 pmol/L), with calculation of proportion of women crossing clinical cutoffs and expected variability around each cutoff. RESULT(S): Cycling women (n = 38) contributed 238 blood samples (average 6 samples each). The average total intraindividual AMH variability was 20% (range: 2.1% to 73%). Biological variation was 19% (range: 0 to 71%) and at least twice the analytical variation of 6.9% (range: 4.5% to 16%). Reclassification rates were highest in women with low (33%) or reduced AMH (67%) levels. Expected variations around the 5, 10, and 30 pmol/L cutoffs were 3-7, 7-13, and 20-40 pmol/L, respectively. In a woman with mean AMH in the 10-30 pmol/L range, the span of results that could occur was 7-40 pmol/L. CONCLUSION(S): Total variation in AMH was 20%, and the majority of this was biological. Changes in AMH resulted in reclassification in 29% of women and occurred most frequently in those with low and reduced AMH. In cycling women, the variability in AMH should be considered by clinicians, especially if a result is close to a clinical cutoff. Crown
Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AMH; analytical variation; biological variation

Mesh:

Substances:

Year:  2016        PMID: 27351446     DOI: 10.1016/j.fertnstert.2016.06.009

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


  4 in total

1.  High throughput pSTAT signaling profiling by fluorescent cell barcoding and computational analysis.

Authors:  Wanxia Li Tsai; Laura Vian; Valentina Giudice; Jacqueline Kieltyka; Christine Liu; Victoria Fonseca; Nathalia Gazaniga; Shouguo Gao; Sachiko Kajigaya; Neal S Young; Angélique Biancotto; Massimo Gadina
Journal:  J Immunol Methods       Date:  2019-11-11       Impact factor: 2.303

2.  Anti-müllerian Hormone During Natural Cycle Presents Significant Intra and Intercycle Variations When Measured With Fully Automated Assay.

Authors:  Laura Melado; Barbara Lawrenz; Junard Sibal; Emmanuel Abu; Carol Coughlan; Alfredo T Navarro; Human Mousavi Fatemi
Journal:  Front Endocrinol (Lausanne)       Date:  2018-11-27       Impact factor: 5.555

3.  The correlation between AMH assays differs depending on actual AMH levels.

Authors:  Å Magnusson; G Oleröd; A Thurin-Kjellberg; C Bergh
Journal:  Hum Reprod Open       Date:  2017-12-08

4.  The Impact of the Biological Variability or Assay Performance on AMH Measurements: A Prospective Cohort Study With AMH Tested on Three Analytical Assay-Platforms.

Authors:  Leif Bungum; Julia Tagevi; Ligita Jokubkiene; Mona Bungum; Aleksander Giwercman; Nick Macklon; Claus Yding Andersen; Tobias Wirenfeldt Klausen; Niels Tørring; Ajay Kumar; Sven Olaf Skouby
Journal:  Front Endocrinol (Lausanne)       Date:  2018-10-16       Impact factor: 5.555

  4 in total

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