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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Polesel, Daniel Ninello [1] ; Nozoe, Karen T. [1] ; Sanchez, Zila M. [2] ; Prado, Mariangela C. O. [2] ; Bittencourt, Lia R. [1] ; Tufik, Sergio [1] ; Andersen, Monica L. [1] ; Hachul, Helena [1, 3]
Total Authors: 8
Affiliation:
[1] Univ Fed Sao Paulo, Dept Psychobiol, Sao Paulo, SP - Brazil
[2] Univ Fed Sao Paulo, Dept Prevent Med, Sao Paulo, SP - Brazil
[3] Univ Fed Sao Paulo, Dept Gynecol, Sao Paulo, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF GYNECOLOGIC SURGERY; v. 33, n. 6, p. 236-242, DEC 2017.
Web of Science Citations: 1
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. (AU)

FAPESP's process: 13/14945-7 - Identification of the main associated factors with obstructive sleep apnea syndrome in women
Grantee:Daniel Ninello Polesel
Support Opportunities: Scholarships in Brazil - Doctorate