Comparison of Automated Anti-Müllerian Hormone Assays and Antral Follicle Count in Predicting Ovarian Response During Ovarian Stimulation

Tan, Eek Chaw; Chincholkar, Pallavi; Yu, Shaojie; Lim, Serene Liqing; R, Renuka; Yong, Tze Tein; Yeo, Chin Pin; Rajesh, Hemashree

doi:10.1142/s2661318219500099

Cited by 3 publications

(2 citation statements)

References 34 publications

(28 reference statements)

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“…A recent study shows that AMH measured by Roche Elecsys highly correlated with antral follicle count and retrieved oocyte count after ovarian stimulation. Roche Elecsys AMH assay is traceable to the Beckman Coulter AMH Gen II ELISA (unmodified version without predilution) assay [15]. The different assay principle and reagents used in the measurement should account for a considerable part of the conflict between results of different studies over the years.…”

Section: Plos Onementioning

confidence: 99%

Nomogram of age-specific anti-Müllerian hormone levels in healthy Egyptian females

et al. 2021

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Background Anti-Müllerian hormone (AMH) is an important determinant of ovarian reserve in fertility workups in many clinical settings. Thus, we investigated the age dependent decline in AMH specific to the Egyptian population and sought to establish an age dependent reference interval parametrically. Methods Serum samples were collected from 841 apparently healthy women. AMH was measured using an electro-chemiluminescent technique. Box-Cox power transformation was used to make the AMH distribution Gaussian for parametric derivation of reference intervals. Results Power of 0.4 was found optimal for Gaussian transformation of AMH reference values. We demonstrate the strong negative relation between circulating AMH and female age with Spearman’s correlation coefficient of rS = −0.528. Age-specific reference interval was determined for every 5 years of age from 16 to 49, and nomogram was constructed by smoothing the lines connecting adjacent lower and upper reference limits. Conclusion The age-specific reference intervals and the age-AMH nomogram could be valuable in the clinical practice of in reproductive medicine. To our knowledge, this is the first study to confirm AMH levels in Egyptian females. We were able to explore age-related AMH levels specific to Egyptian females in the fertile age group and to treat skewed AMH data in a multi-step scheme using power transformation. Thus, a more accurate nomogram was constructed accommodating a profile delineated for a wide age range and a rescaled AMH axis improving its usability.

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Section: Plos Onementioning

confidence: 99%

Nomogram of age-specific anti-Müllerian hormone levels in healthy Egyptian females

et al. 2021

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“…Tan et al [28] prospectively measured and analyzed both Access-AMH and Elecsys-AMH in 43 infertile women aged 21 to 45 years. They reported that the cut-off of AMH for predicting poor ovarian response was 2.23 ng/mL for Access-AMH and 2.02 ng/mL for Elecsys-AMH.…”

Section: Table 3 the Equations Between Serum Amh Level And Four Stimu...mentioning

confidence: 99%

Correlation of oocyte number with serum anti-Müllerian hormone levels measured by either Access or Elecsys in fresh in vitro fertilization cycles

Jeong¹,

Kim²,

Lee³

et al. 2022

Clin Exp Reprod Med

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Objective: The aim of this study was to assess the correlation of oocyte number with serum anti-Müllerian hormone (AMH) levels measured by two automated methods (Access or Elecsys) in fresh stimulated in vitro fertilization (IVF) cycles.Methods: In this retrospective study at a university hospital, data were collected from 243 fresh stimulated IVF cycles performed from August 2016 to December 2020. The serum AMH level was measured by Access in 120 cycles and by Elecsys in 123 cycles. The cut-off of serum AMH for prediction of poor responders (three or fewer oocytes) or high responders (15 or more oocytes) was calculated by the receiver operating characteristic curve analysis.Results: For the two automated methods, the following equations were derived: total oocyte number=2.378+1.418×(Access-AMH) (r=0.645, p<0.001) and total oocyte number=2.417+2.163×(Elecsys-AMH) (r=0.686, p<0.001). The following combined equation could be derived: (Access-AMH)=0.028+1.525×(Elecsys-AMH). To predict poor responders, the cut-off of Access-AMH was 1.215 ng/mL (area under the curve [AUC], 0.807; 95% confidence interval [CI], 0.730–0.884; p<0.001), and the cut-off of Elecsys-AMH was 1.095 ng/mL (AUC, 0.848; 95% CI, 0.773–0.923; p<0.001). To predict high responders, the cut-off of Access-AMH was 3.450 ng/mL (AUC, 0.922; 95% CI, 0.862–0.981; p<0.001), and the cut-off of Elecsys-AMH was 2.500 ng/mL (AUC, 0.884; 95% CI, 0.778–0.991; p<0.001).Conclusion: Both automated methods for serum AMH measurement showed a good correlation with oocyte number and good performance for predicting poor and high responders in fresh stimulated IVF cycles. The Access method usually yielded higher measured serum AMH levels than the Elecsys method.

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Validation study of the Access antimüllerian hormone assay for the prediction of poor ovarian response to controlled ovarian stimulation

Baker

Glassner

Doody

et al. 2021

Fertility and Sterility

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Comparison of Automated Anti-Müllerian Hormone Assays and Antral Follicle Count in Predicting Ovarian Response During Ovarian Stimulation

Cited by 3 publications

References 34 publications

Nomogram of age-specific anti-Müllerian hormone levels in healthy Egyptian females

Nomogram of age-specific anti-Müllerian hormone levels in healthy Egyptian females

Correlation of oocyte number with serum anti-Müllerian hormone levels measured by either Access or Elecsys in fresh in vitro fertilization cycles

Validation study of the Access antimüllerian hormone assay for the prediction of poor ovarian response to controlled ovarian stimulation

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