Purpose Of Review: To provide an update on the latest clinical applications of serum antimüllerian hormone (AMH) testing with practical approaches to mitigate the impact of significant variability in AMH results.
Recent Findings: Recent studies continue to demonstrate that AMH is the best single serum test for ovarian response management with, at most, a weak-to-moderate age-independent association with live-birth rate and time to conception. Data confirm serum AMH levels improve menopause prediction, monitoring of ovarian damage, and identification of women at risk for several ovary-related disorders such as polycystic ovary syndrome and premature or primary ovarian insufficiency. However, it is now recognized that serum AMH results can have dramatic variability due to common, biologic fluctuations within some individuals, use of hormonal contraceptives or other medications, certain surgical procedures, specimen treatment, assay changes, and laboratory calibration differences. Practical guidelines are provided to minimize the impact of variability in AMH results and maximize the accuracy of clinical decision-making.
Summary: AMH is an ovarian biomarker of central importance which improves the clinical management of women's health. However, with the simultaneous rapid expansion of AMH clinical applications and recognition of variability in AMH results, consensus regarding the clinical cutpoints is increasingly difficult. Therefore, a careful approach to AMH measurement and interpretation in clinical care is essential.
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http://dx.doi.org/10.1097/GCO.0000000000000087 | DOI Listing |
J Endocrinol Invest
January 2025
Pediatric Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, 40138, Italy.
Purpose: Galactosemia is a rare inborn error of galactose metabolism. There are several forms, the most severe being classic galactosemia (CG), which begins in the first few days of life. Nowadays, it is possible to screen CG at birth, averting acute decompensation or death through diet.
View Article and Find Full Text PDFGynecol Endocrinol
December 2025
Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Objective: To determine the variation of serum AMH levels in healthy Chinese women and establish AMH reference ranges accordingly.
Methods: This prospective cross-sectional multicenter study was designed to enroll healthy Chinese women of reproductive age (20-39 years) and perimenopausal age (40-49 years) from five reproductive centers in different regions of China. The study began in May 2022 and finished in February 2023.
J Assist Reprod Genet
January 2025
Department of Assisted Reproductive Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699nd West Gao Ke Road, Shanghai, 201204, China.
Purpose: Women with polycystic ovary syndrome (PCOS) show greater heterogeneity in ovarian responses during ovarian stimulation. We aimed to investigate the potential predicting factors among individualized basic parameters that affect poor or hyper ovarian responses in PCOS patients.
Methods: We retrospectively screened 2058 women with PCOS who underwent their first cycle of in vitro fertilization/intracytoplasmic sperm injection.
J Assist Reprod Genet
January 2025
Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Northwestern University, Chicago, IL, USA.
Purpose: To develop a predictive model for estimating the total dose of gonadotropins and the number mature oocytes in planned oocyte cryopreservation cycles.
Methods: In this retrospective study, oocyte cryopreservation cycles recorded in the Society for Assisted Reproductive Technology Clinic Outcome Reporting System Database from 2013 to 2018 were analyzed. Bivariate copula additive models for location, scale, and shape were performed to create a predictive model for estimating total dose of gonadotropins and number of mature oocytes.
Digit Health
January 2025
UC San Diego Health Sciences, University of California San Diego, San Diego, CA, USA.
Objective: Metastatic breast cancer (MBC) is associated with burdensome side effects, including cognitive changes that require ongoing monitoring. Cognitive ecological momentary assessments (EMAs) allow for assessment of individual cognitive functioning in natural environments and can be administered via smartphones. Accordingly, we sought to establish the feasibility, reliability, and validity of a commercially available cognitive EMA platform.
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