title: Age-related normograms of serum antimüllerian hormone levels in a population of infertile women: a multicenter study.
abstract: OBJECTIVE
  To produce age-related normograms for serum antimüllerian hormone (AMH) level in infertile women without polycystic ovaries (non-PCO).
  
  
  METHODS
  Retrospective cohort analysis.
  
  
  METHODS
  Fifteen academic reproductive centers.
  
  
  METHODS
  A total of 3,871 infertile women.
  
  
  METHODS
  Blood sampling for AMH level.
  
  
  METHODS
  Serum AMH levels and correlation between age and different percentiles of AMH.
  
  
  RESULTS
  Age-related normograms for the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles of AMH were produced. We found that the curves of AMH by age for the 3rd to 50th percentiles fit the model and appearance of linear relation, whereas the curves of >75th percentiles fit cubic relation. There were significant differences in AMH and FSH levels and in antral follicle count (AFC) among women aged 24-33 years, 34-38 years, and ≥39 years. Multivariate stepwise linear regression analysis of FSH, age, AFC, and the type of AMH kit as predictors of AMH level shows that all variables are independently associated with AMH level, in the following order: AFC, FSH, type of AMH kit, and age.
  
  
  CONCLUSIONS
  Age-related normograms in non-PCO infertile women for the 3rd to 97th percentiles were produced. These normograms could provide a reference guide for the clinician to consult women with infertility. However, future validation with longitudinal data is still needed.
authors: Department of Obstetrics and Gynecology, and Clinical Epidemiology, Biostatistics and Occupational Health, McGill University, and Centre for Clinical Epidemiology, Lady Davis Research Institute-Jewish General Hospital, Montreal, Quebec, Canada. bennyalmo@gmail.com
authors: Benny
authors: B
authors: Almog
authors: Fady
authors: F
authors: Shehata
authors: Sami
authors: S
authors: Suissa
authors: Hananel
authors: H
authors: Holzer
authors: Einat
authors: E
authors: Shalom-Paz
authors: Antonio
authors: A
authors: La Marca
authors: Shanthi
authors: S
authors: Muttukrishna
authors: Andrew
authors: A
authors: Blazar
authors: Richard
authors: R
authors: Hackett
authors: Scott M
authors: SM
authors: Nelson
authors: Joao Sabino
authors: JS
authors: Cunha-Filho
authors: Talia
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authors: Eldar-Geva
authors: Ehud J
authors: EJ
authors: Margalioth
authors: Nick
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authors: Raine-Fenning
authors: Kannamannadiar
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authors: Jayaprakasan
authors: Myvanwy
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authors: McIlveen
authors: Dorothea
authors: D
authors: Wunder
authors: Thomas
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authors: Freour
authors: Luciano G
authors: LG
authors: Nardo
authors: Juan
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authors: Balasch
authors: Joana
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authors: Peñarrubia
authors: Jesper
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authors: Smeenk
authors: Christian
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authors: Gnoth
authors: Erhard
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authors: Godehardt
authors: Tsung-Hsien
authors: TH
authors: Lee
authors: Maw-Sheng
authors: MS
authors: Lee
authors: Ishai
authors: I
authors: Levin
authors: Ronni
authors: R
authors: Gamzu
authors: Togas
authors: T
authors: Tulandi
mesh_terms: D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D000375:Aging; D054304:Anti-Mullerian Hormone / Q000097:blood*; D001315:Australia / Q000453:epidemiology; D015415:Biomarkers; D005060:Europe / Q000453:epidemiology; D005260:Female; D043373:Follicle Stimulating Hormone, Human / Q000097:blood; D006801:Humans; D007247:Infertility, Female / Q000097:blood* / Q000453:epidemiology; D007557:Israel / Q000453:epidemiology; D016014:Linear Models; D008875:Middle Aged; D049451:Nomograms; D009656:North America / Q000453:epidemiology; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D013624:Taiwan / Q000453:epidemiology; D055815:Young Adult
chemical_list: D015415:Biomarkers; D043373:Follicle Stimulating Hormone, Human; D054304:Anti-Mullerian Hormone