Improving Prediction of Age at Menopause Using Multiple Anti-Müllerian Hormone Measurements: the Tehran Lipid-Glucose Study.
J Clin Endocrinol Metab
; 105(5)2020 05 01.
Article
de En
| MEDLINE
| ID: mdl-32109280
ABSTRACT
CONTEXT Several statistical models were introduced for the prediction of age at menopause using a single measurement of anti-müllerian hormone (AMH); however, individual prediction is challenging and needs to be improved. OBJECTIVE:
The objective of this study was to determine whether multiple AMH measurements can improve the prediction of age at menopause.DESIGN:
All eligible reproductive-age women (n = 959) were selected from the Tehran Lipid and Glucose Study. The serum concentration of AMH was measured at the time of recruitment and twice after that at an average of 6-year intervals. An accelerated failure-time model with Weibull distribution was used to predict age at menopause, using a single AMH value vs a model that included the annual AMH decline rate. The adequacy of these models was assessed using C statistics.RESULTS:
The median follow-up period was 14 years, and 529 women reached menopause. Adding the annual decline rate to the model that included single AMH improved the model's discrimination adequacy from 70% (95% CI 67% to 71%) to 78% (95% CI 75% to 80%) in terms of C statistics. The median of differences between actual and predicted age at menopause for the first model was -0.48 years and decreased to -0.21 in the model that included the decline rate. The predicted age at menopause for women with the same amount of age-specific AMH but an annual AMH decline rate of 95 percentiles was about one decade lower than in those with a decline rate of 5 percentiles.CONCLUSION:
Prediction of age at menopause could be improved by multiple AMH measurements; it will be useful in identifying women at risk of early menopause.Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Ménopause
/
Tests diagnostiques courants
/
Hormone antimullérienne
Type d'étude:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limites:
Adult
/
Female
/
Humans
/
Middle aged
Pays/Région comme sujet:
Asia
Langue:
En
Journal:
J Clin Endocrinol Metab
Année:
2020
Type de document:
Article
Pays d'affiliation:
Iran