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 × age(2) - 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.
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 × age(2) - 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.
Authors: S Lie Fong; J A Visser; C K Welt; Y B de Rijke; M J C Eijkemans; F J Broekmans; E M Roes; W H M Peters; A C S Hokken-Koelega; B C J M Fauser; A P N Themmen; F H de Jong; I Schipper; J S E Laven Journal: J Clin Endocrinol Metab Date: 2012-09-19 Impact factor: 5.958
Authors: A C de Kat; Y T van der Schouw; M J C Eijkemans; G C Herber-Gast; J A Visser; W M M Verschuren; F J M Broekmans Journal: BMC Med Date: 2016-10-03 Impact factor: 8.775
Authors: Tess V Clendenen; Wenzhen Ge; Karen L Koenig; Yelena Afanasyeva; Claudia Agnoli; Elizabeth Bertone-Johnson; Louise A Brinton; Farbod Darvishian; Joanne F Dorgan; A Heather Eliassen; Roni T Falk; Göran Hallmans; Susan E Hankinson; Judith Hoffman-Bolton; Timothy J Key; Vittorio Krogh; Hazel B Nichols; Dale P Sandler; Minouk J Schoemaker; Patrick M Sluss; Malin Sund; Anthony J Swerdlow; Kala Visvanathan; Mengling Liu; Anne Zeleniuch-Jacquotte Journal: J Clin Endocrinol Metab Date: 2021-10-21 Impact factor: 6.134