Publication Cover
Human Fertility
an international, multidisciplinary journal dedicated to furthering research and promoting good practice
Volume 25, 2022 - Issue 2
148
Views
1
CrossRef citations to date
0
Altmetric
Articles

Anogenital distance and anti-Müllerian hormone combined improves the diagnosis of polycystic ovary syndrome

ORCID Icon, , ORCID Icon, &
Pages 274-282 | Received 24 Sep 2019, Accepted 23 Feb 2020, Published online: 27 Jul 2020
 

Abstract

The objective of this study was to assess the accuracy of the combination of anogenital distance (AGD) and anti-Müllerian hormone (AMH) in the diagnosis of polycystic ovary syndrome (PCOS). The study included women diagnosed with PCOS and a control group who attended the Clinical University Hospital ‘Virgen de la Arrixaca’ in Murcia (Spain). Serum concentrations of AMH were measured and two AGD measurements were obtained: (i) from the anterior clitoral surface to the upper verge of the anus (AGDAC); and (ii) from the posterior fourchette to the upper verge of the anus (AGDAF). Data were assessed by receiver operator characteristic (ROC) curves. Women with PCOS (n = 126) had significantly larger AGDAC (80.5 ± 11.3 versus 76.0 ± 10.4 mm; p < 0.001) and higher AMH (7.2 ± 4.7 versus 3.1 ± 2.2; p < 0.001) compared to control women (n = 159). Women with serum AMH above 3.8 ng/mL (clinical cut-off used in PCOS) were 9.1 times more likely to have PCOS (95% CI: 5.1–16.2). The area under the ROC curve of combined model of AMH and AGDAC was 0.87 (95% CI: 0.83–0.91). The combined model for predicting PCOS based on AMH and AGDAC has better diagnostic accuracy than that of AMH or AGDAC alone. This model could be useful for clinicians and improve diagnosis and clinical management of these women.

Disclosure Statement

The authors have no conflicts of interest.

Additional information

Funding

The present study was supported by the Ministry of Economy and Competitiveness, ISCIII [grant no. PI13/01237], and the Seneca Foundation, Murcia Regional Agency of Science and Technology [grant no. 19443/PI/14].

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.