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

Autor(es)

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]}

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF GYNECOLOGIC SURGERY; v. 33, n. 6, p. 236-242, DEC 2017.
• Citações Web of Science: 1

Resumo

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)

• Processo FAPESP: 13/14945-7 - Identificação dos principais fatores associados à síndrome da apneia obstrutiva do sono em mulheres
• Beneficiário: Daniel Ninello Polesel
• Modalidade de apoio: Bolsas no Brasil - Doutorado