Ovarian reserve can be determined by serum anti-Müllerian hormone (AMH) level and/or antral follicle count before controlled ovarian stimulation. The aim of controlled ovarian stimulation is to achieve an appropriate number of mature follicles and avoid complications such as ovarian hyperstimulation syndrome. Measurement of the ovarian reserve is useful for clinicians as it predicts the ovarian response to controlled ovarian stimulation. Further, it assists in giving the patient realistic expectations regarding the treatment. By determining the ovarian reserve, the most appropriate stimulation protocol and gonadotropin dose can be chosen specifically for each woman enabling so-called "individualized treatment" in line with the personalized treatment concept. Many benefits come with using AMH as a biomarker for ovarian reserve; the hormone is considered fairly cycle independent apart from a small decrease in the late follicular phase and there is no inter-observer variance. However, the use of AMH also has limitations; since the implementation of AMH in fertility treatment several AMH assays have been developed. This has made direct comparisons of AMH serum levels complicated. Currently, no international standardized assays exist. AMH is a valid predictor of the ovarian response to controlled ovarian stimulation and to some extent the chance of pregnancy in relation to assisted reproductive technology, but AMH is less optimal in prediction of spontaneous pregnancy and live birth after assisted reproductive technology. Accordingly, AMH can be used to optimize gonadotropin stimulation in fertility treatment, but is not recommended as a screening tool in the general population.
BackgroundIn assisted reproductive technology, prediction of treatment failure remains a great challenge. The development of more sensitive assays for measuring anti-Müllerian hormone (AMH) has allowed for the possibility to investigate if a lower threshold of AMH can be established predicting very limited or no response to maximal ovarian stimulation.MethodsA prospective observational multicenter study of 107 women, < 40 years of age with regular menstrual cycle and serum AMH levels ≤ 12 pmol/L, treated with 300 IU/day of HP-hMG in a GnRH-antagonist protocol. AMH was measured before treatment start using the Elecsys® AMH assay by Roche Diagnostics. The ability of AMH to predict follicular development and ovarian response was assessed by receiver operating characteristics (ROC). Furthermore, the relationship between AMH at start of stimulation and cycle outcome was investigated using multivariate logistic regression analysis.ResultsFive out of 107 cycles (4.7%) were cancelled due to lack of follicular development and 60/107 (56%) women did not reach the classical hCG criteria for ovulation induction (≥ 3 follicles of ≥17 mm). An AMH threshold of 4 pmol/L predicted failure to reach the classical hCG criteria with 89% specificity and 53% sensitivity and an area under the curve (AUC) of 0.76 (95% CI 0.66–0.85). AMH predicted cycle cancellation due to lack of follicular development, using a cut-off value of 1.5 pmol/L, with a specificity of 96% and sensitivity of 80% (AUC = 0.92, 95% CI 0.79–1.00). A single-unit increase in AMH was associated with a 29% decrease in odds of failure to reach the classical hCG criteria (OR 0.71 95% CI 0.59–0.85, p < 0.01). The lowest AMH value compatible with a live birth was 1.3 pmol/L.ConclusionsAmong women with a limited ovarian reserve, pre-treatment serum AMH levels significantly predicted failure to reach the classical hCG triggering criteria and predicted lack of follicular development using a new sensitive assay, but AMH was not suitable for withholding fertility treatment, as even very low levels were associated with live births.Trial registrationNot relevant
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.