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Age‐related distributions of anti‐Müllerian hormone level and anti‐Müllerian hormone models

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Abstract Objective. To determine age‐specific reference values for anti‐Müllerian hormone (AMH) and to set up an optimal model for AMH changes by age for infertility investigations. Design. Prospective study. Setting. Several infertility clinics and two university hospitals. Sample. A total of 21 226 AMH samples were obtained. Methods. Data on patients’ age, race/ethnicity, and AMH levels were available from the laboratory center data registry between November 2008 and January 2011. Main outcome measures. The distribution of AMH levels by age. From 16 972 women aged between 25 and 45 years, we established and validated five AMH‐age regression models. Results. The overall mean AMH level was 4.09 ± 3.71 ng/mL (median: 3.13 ng/mL). There was an inverse relation between AMH level and age. Among multiple regression models, the quadratic model was most appropriate to describe AMH‐age relation (log AMH = 0.205 × age – 0.005 × age2– 0.047). Conclusions. AMH levels show a progressive decline with increasing age. Age‐specific AMH values may provide more specific information useful for patients and clinicians. AMH‐age models could play a role as a basic step to approach more accurate ovarian reserve estimation.
Title: Age‐related distributions of anti‐Müllerian hormone level and anti‐Müllerian hormone models
Description:
Abstract Objective.
To determine age‐specific reference values for anti‐Müllerian hormone (AMH) and to set up an optimal model for AMH changes by age for infertility investigations.
Design.
Prospective study.
Setting.
Several infertility clinics and two university hospitals.
Sample.
A total of 21 226 AMH samples were obtained.
Methods.
Data on patients’ age, race/ethnicity, and AMH levels were available from the laboratory center data registry between November 2008 and January 2011.
Main outcome measures.
The distribution of AMH levels by age.
From 16 972 women aged between 25 and 45 years, we established and validated five AMH‐age regression models.
Results.
The overall mean AMH level was 4.
09 ± 3.
71 ng/mL (median: 3.
13 ng/mL).
There was an inverse relation between AMH level and age.
Among multiple regression models, the quadratic model was most appropriate to describe AMH‐age relation (log AMH = 0.
205 × age – 0.
005 × age2– 0.
047).
Conclusions.
AMH levels show a progressive decline with increasing age.
Age‐specific AMH values may provide more specific information useful for patients and clinicians.
AMH‐age models could play a role as a basic step to approach more accurate ovarian reserve estimation.

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