61
Views
8
CrossRef citations to date
0
Altmetric
PCOS

Assessment of diagnostic competence of plasmatic androgens on polycystic ovary syndrome based on receiver operator characteristic curves

, , , , &
Pages 600-606 | Received 21 Sep 2009, Accepted 20 Jan 2010, Published online: 12 Mar 2010
 

Abstract

Objective. This study was designed to assess the diagnostic potency of different androgens in hyperandrogenaemia criterion on polycystic ovary syndrome (PCOS) based on receiver operator characteristic (ROC) curves analysis.

Methods. We evaluated 55 PCOS patients and 27 healthy fertile women (control). Androgen evaluation included bio-available testosterone (BAT) by ammonium sulphate precipitation, Free Testosterone Index (FTI), androstenedione (A), total testosterone and dehydroepiandrosterone sulphate (DHEA-S).

Results. The androgen tests with the best diagnostic capacities were FTI and BAT. Although T and A had similar diagnostic potencies, A detected 5% of PCOS patients that could not be recognised by FTI, BAT (%), or T. The association of FTI, BAT (%) and A identified 96.36% of the hyperandrogenaemic patients. DHEA-S showed a wide dispersion of values and therefore poor discriminatory competence.

Discussion. This study suggests that routine androgen evaluation in PCOS should include FTI, BAT and A to avoid misdiagnosis. ROC curve analysis of these tests on patients with the complete spectrum of PCOS phenotypes is needed to confirm these results.

Acknowledgements

This study was supported by grants from Chilean Research Council (CONICYT-FONDAP) #1501006. C Villarroel, Organon Fellow in Reproductive Medicine and Infertility. L Trejo, Progresar Fellow in Reproductive Medicine and Infertility.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.