Anti-Mullerian hormone normogram in an Irish subfertile population

Naasan, Mashhour; Harrity, Conor; Pentony, Lorna; Mocanu, Edgar

doi:10.1007/s11845-014-1089-0

Cited by 12 publications

(12 citation statements)

References 40 publications

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“…The current study relies on data collected from a single laboratory chain and based on an homogeneous assay, involving 5069 Romanian female patients with ages between 18 and 55. The primary aim of this observational study was to define our own normogram, as already pointed out as a necessity by others [ 13 ], given the potential peculiarities that may apply for our geographical region. As shown within the results section, the values of serum AMH decreased simultaneously with aging, in a non-linear manner.…”

Section: Discussionmentioning

confidence: 99%

“…However, wide geographical differences in the age-related AMH decrease pattern and age at onset of natural menopause have been reported, possibly reflecting genetic, socioeconomic, environmental, racial or ethnic peculiarities [ 10 – 12 ]. On the other hand, the lack of consensual standardization of the measurement methodology may require that each ART unit generate its own specific AMH reference values for dealing with their patients in a more appropriate, personalized manner [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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It’s Never over until It’s over: How Can Age and Ovarian Reserve Be Mathematically Bound through the Measurement of Serum AMH—A Study of 5069 Romanian Women

Doroftei

Mambet²,

Zlei

2015

PLoS ONE

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Wide regional differences in the age-related Anti Mullerian hormone (AMH) regression patterns or age at onset of natural menopause have been reported, possibly reflecting genetic, socioeconomic, environmental, racial or ethnic peculiarities. Moreover, adaptation of AMH levels from different assays using regression functions may lack accuracy and externally defined references for AMH levels may not fully comply with a specific geographical area. The current study aimed to establish an accurate mathematical relationship between AMH serum values and age in a large group of women from Romania, as any consistent difference from previously reported regression models may aid in building specific profiles for the AMH decline with age in this geographical region. Our study pointed out to the quadratic regression as the most fitted pattern of correlation for all the age groups between 24 and 45. To our knowledge the current manuscript is based on the singular study carried out in this geographical region, generating a particular age-related pattern of association between age and serum AMH levels in women, regardless of their subjacent pathologies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

It’s Never over until It’s over: How Can Age and Ovarian Reserve Be Mathematically Bound through the Measurement of Serum AMH—A Study of 5069 Romanian Women

Doroftei

Mambet²,

Zlei

2015

PLoS ONE

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“…Serum AMH and AFC begin to decline in women between 34 and 35 years old, and AMH predicts biological age earlier than FSH or AFC do, and AFC does so earlier than FSH does [17]. By age 32, over 50% of women with subfertility had AMH levels categorized as "low fertility" (AMH ≤ 19.5 pmol/liter), a figure that increased to 75% by age 39, with a decrease in mean AMH of 1.72 pmol/liter/year [18]. The serum AMH cut-off value for the normal ovarian reserve was calculated as 0.37 ng/ml (sensitivity 71.43%, specificity 66.67%, positive prediction 83.33%, negative prediction 50%) [19].…”

Section: Discussionmentioning

confidence: 99%

“…Many studies [17][18][19][20][21] have discussed how AFC and AMH could be used to assess ovarian reserve.…”

Section: Discussionmentioning

confidence: 99%

The evaluative effectiveness of a combined index exceeded that of a single variable for the ovarian reserve and response of infertile women

Zhou

Zhao

et al. 2019

Preprint

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Aim of the present study was to explore the evaluative effectiveness of age, ovarian volume, antral follicle count (AFC), serum follicle-stimulating hormone (FSH), anti-Müllerian hormone (AMH), FSH/LH ratio and ovarian response prediction index (ORPI) to determine which could most advantageously assess ovarian reserve and response.Methods This research enrolled 319 consecutive infertile women who had undergone IVF-ET/ICSI treatments. Abovementioned variables were measured and calculated. Receiver Operating Characteristic Curve analysis was used to analyze the predictive accuracy of variables and to calculate cut-off values and corresponding sensitivity and specificity.Results Our study revealed that the significant variables for evaluating a decline in ovarian reserve include age, total volume of bilateral ovary, FSH, and ORPI. Moreover, the area under the curve (AUC) of ORPI was higher than other three variables (AUC = 0.903), and the cut-off value of ORPI was 0.245 (sensitivity 90.1%, specificity 73.9%). The significant variables forecasting excessive ovarian response were age, AFC, AMH, ORPI, FSH and FSH/LH ratio, and the significant variables forecasting low ovarian response were AMH and FSH/LH ratio. ORPI and FSH/LH ratio presented better effectiveness in evaluating ovarian response. When they were used to predict excessive response, the cut-off values of ORPI and FSH/LH ratio was 0.886 (sensitivity 84.7%, specificity 67.3%) and 1.753 (sensitivity 56.2%, specificity 67.6%), respectively. When used to predict low response, the cut-off value of FSH/LH ratio was 2.983 (sensitivity 75.0%, specificity 83.8%).Conclusions ORPI performed better than did the other variables in evaluating ovarian reserve and predicting excessive ovarian response, and the FSH/LH ratio performed better than did the other variables in predicting low ovarian response. Consequently, we agreed that the evaluative effectiveness of a combined index exceeded that of a single variable for evaluating the ovarian reserve and response of infertile women.

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“…Although there have been a number of published age-specific reference ranges for AMH assayed by manual ELISA in Chinese 23,24 as well as other populations, 14,15,[25][26][27] few are available for the automated assays. Some are available for another automated assay platform manufactured by Roche Diagnostics, 28,29 but as numerical values generated from the two automated platforms are non-equivalent, it would be necessary to establish one specifically for the Access AMH assay.…”

Section: Interpretationsmentioning

confidence: 99%

Age‐specific reference ranges of serum anti‐müllerian hormone in healthy women and its application in diagnosis of polycystic ovary syndrome: a population study

et al. 2020

BJOG

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Objective To establish the age‐specific centiles of serum anti‐müllerian hormone (AMH) levels in Chinese women, and to explore the use of multiples of median (MoM) AMH levels for the diagnosis of polycystic ovary syndrome (PCOS). Design An observational study. Setting University‐affiliated hospitals and community clinics. Population We included 3137 healthy women aged 20–44 years recruited prospectively or who had archived serum samples from previous research projects. Another validation cohort of 751 women with PCOS as well as ovulatory controls, which was a convenient sample of women attending for infertility or menstrual disorders, was also studied. Methods The serum samples were assayed for AMH by the automated Access AMH assay. Main outcome measures Age‐specific reference ranges were constructed on the primary cohort with the Lambda‐Mu‐Sigma method. The MoM AMH of each subject in the validation cohort was calculated. Results Centile curves of serum AMH level against age were established. MoM AMH was significantly higher in women with PCOS than in controls (P < 0.05). The area under the ROC curve was 0.852 (95% confidence interval [CI] 0.825–0.877) (P < 0.0001) for discriminating women with PCOS from ovulatory controls by MoM AMH. Conclusions We established a set of year‐by‐year age‐specific reference ranges of serum AMH levels in Chinese women. The MoM AMH derived from this set of reference ranges is a promising tool to replace antral follicle count in the diagnosis of PCOS. Tweetable abstract A set of age‐specific reference ranges of AMH levels was established in Chinese women. Multiples of median AMH may be used to diagnose PCOS.

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Anti-Mullerian hormone normogram in an Irish subfertile population

Cited by 12 publications

References 40 publications

It’s Never over until It’s over: How Can Age and Ovarian Reserve Be Mathematically Bound through the Measurement of Serum AMH—A Study of 5069 Romanian Women

It’s Never over until It’s over: How Can Age and Ovarian Reserve Be Mathematically Bound through the Measurement of Serum AMH—A Study of 5069 Romanian Women

The evaluative effectiveness of a combined index exceeded that of a single variable for the ovarian reserve and response of infertile women

Age‐specific reference ranges of serum anti‐müllerian hormone in healthy women and its application in diagnosis of polycystic ovary syndrome: a population study

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