Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Jan;23(1):160-7.
doi: 10.1093/humrep/dem254. Epub 2007 Nov 13.

Serum anti-Müllerian hormone and estradiol levels as predictors of ovarian hyperstimulation syndrome in assisted reproduction technology cycles

Affiliations

Serum anti-Müllerian hormone and estradiol levels as predictors of ovarian hyperstimulation syndrome in assisted reproduction technology cycles

Tsung-Hsien Lee et al. Hum Reprod. 2008 Jan.

Abstract

Background: Anti-Müllerian hormone (AMH) is reported to be a reliable marker of the ovarian response to controlled ovarian stimulation (COS). The objective of this study is to determine whether the serum AMH level can predict ovarian hyperstimulation syndrome (OHSS) prior to selection of COS protocols.

Methods: A cohort of 262 IVF cycles was investigated prospectively, in order to evaluate the predictive value for OHSS by means of certain risk factors, including age, body mass index (BMI), serum estradiol (E2) level, number of retrieved oocytes and basal serum AMH level.

Results: The basal serum AMH level predicted OHSS better than age and BMI with a sensitivity of 90.5% and specificity of 81.3%. Both the basal serum AMH level (odds ratio: 1.7856, P = 0.0003) and serum E2 level on the day of HCG administration (odds ratio: 1.0005, P = 0.0455) proved to be significant predictors of OHSS by logistic regression analysis. However, age (odds ratio: 0.9346, P = 0.049) was the only significant factor for prediction of clinical pregnancy.

Conclusions: The basal serum AMH level could be utilized effectively to predict OHSS and thus to direct the selection of mild COS protocols.

PubMed Disclaimer

MeSH terms