The Follicle-Stimulating Hormone as Best Classifier for Diagnosis of Natural Menopause

The Follicle-Stimulating Hormone as Best Classifier for Diagnosis of Natural Menopause

Author Polesel, Daniel Ninello Autor UNIFESP Google Scholar
Nozoe, Karen T. Autor UNIFESP Google Scholar
Sanchez, Zila M. Autor UNIFESP Google Scholar
Prado, Mariangela C. O. Autor UNIFESP Google Scholar
Bittencourt, Lia R. Autor UNIFESP Google Scholar
Tufik, Sergio Autor UNIFESP Google Scholar
Andersen, Monica L. Autor UNIFESP Google Scholar
Hachul, Helena Autor UNIFESP Google Scholar
Abstract Objective: The aim of this study was to examine the cut-off value of parameters related to menopause in women recruited through the Sao Paulo Epidemiologic Sleep Study. Materials and Methods: A household survey sample of 397 women was submitted to biochemical analysis after overnight fasting for determination of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and estradiol levels. Volunteers were randomly selected to represent the population of SAo Paulo according to gender, age, and socioeconomic status. The cut-off values were determined from the receiver operating characteristic curve and by determining the accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the parameters. Results: FSH, LH, and age provided >90% accuracy for defining the menopause group. Classification of menopause according to FSH level provided the highest level of accuracy (97.0%) based on a cut-off value of 21 mIU/mL as a classifier. Conclusions: The cut-off value for FSH alone was able to distinguish with higher efficiency premenopause and postmenopause groups. FSH levels provided greater accuracy in the diagnosis of natural menopause, compared to the other parameters.
Keywords menopause
follicle-stimulating hormone
xmlui.dri2xhtml.METS-1.0.item-coverage New Rochelle
Language English
Sponsor Associacao Fundo de Incentivo a Pesquisa (AFIP)
Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
Sao Paulo Research Foundation (FAPESP)
Grant number FAPESP: 2013/14945-7
Date 2017
Published in Journal Of Gynecologic Surgery. New Rochelle, v. 33, n. 6, p. 236-242, 2017.
ISSN 1042-4067 (Sherpa/Romeo, impact factor)
Publisher Mary Ann Liebert, Inc
Extent 236-242
Access rights Closed access
Type Article
Web of Science ID WOS:000417632900004

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