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- Title
The Follicle-Stimulating Hormone as Best Classifier for Diagnosis of Natural Menopause.
- Authors
Polesel, Daniel Ninello; Nozoe, Karen T.; Sanchez, Zila M.; Prado, Mariangela C.O.; Bittencourt, Lia R.; Tufik, Sergio; Andersen, Monica L.; Hachul, Helena
- 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 São 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. (J GYNECOL SURG 33:236) This study was registered with (NCT00596713).
- Subjects
AGE distribution; BIOMARKERS; BIOCHEMISTRY; COMPARATIVE studies; ESTRADIOL; FOLLICLE-stimulating hormone; LUTEINIZING hormone; MENOPAUSE; RESEARCH evaluation; STATISTICAL sampling; SEX distribution; SLEEP; SURVEYS; PERIMENOPAUSE; SOCIOECONOMIC factors; PREDICTIVE tests; POSTMENOPAUSE
- Publication
Journal of Gynecologic Surgery, 2017, Vol 33, Issue 6, p236
- ISSN
1042-4067
- Publication type
Article
- DOI
10.1089/gyn.2017.0040