Objectives: The aim was to evaluate the association between serum Anti-Müllerian Hormone (AMH) level and cumulative live birth rates (LBR) in patients undergoing their first in vitro fertilization (IVF) treatment cycle, and to compare serum AMH levels with Antral Follicle Count (AFC) and Ovarian Sensitivity Index (OSI) as predictors of live birth.

Study Design: A prospective cohort study of 454 patients under the age of 40 and with a regular menstrual cycle of 21-35 days, undergoing their first IVF treatment cycles between September 2010 and June 2015. Participants were divided into three groups based on their AMH level, (AMH ≤10, AMH 10-<30 and AMH ≥30 pmol/l). Any difference in AMH-distribution between patients with or without live birth was analyzed using a Mann-Whitney-test, and live birth rates were compared between groups by a chi-squared test for linear trend. The ability of AMH, OSI and AFC as predictors of live birth was assessed by a receiver operating characteristics-analysis and the area under the curve (AUC) was calculated.

Results: Patients with live birth had a higher AMH, median (range) 26 [0-137] pmol/l, compared with patients without live birth, AMH 22 [0-154] pmol/l, p = 0.035. Mean live birth rate (SD) was 0.36 (0.48) in the total cohort, 0.26 (0.44) in AMH-group <10, 0.34 (0.48) in AMH-group 10-<30, and 0.41(0.49) in AMH-group ≥30. Thus live birth rates increased with 8% per AMH-group (95% CI: 0.02 -0.14, p = 0.015). The AUC for AFC was 0.56, for AMH 0.57 and for OSI 0.63, respectively.

Conclusion: AMH concentration in serum is associated with live birth rates after IVF. Our results suggest that both AMH, AFC and OSI have an equal but modest predictive ability in relation to live birth rate.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ejogrb.2018.04.039DOI Listing

Publication Analysis

Top Keywords

anti-müllerian hormone
12
live birth
8
birth rates
8
amh level
8
ivf treatment
8
amh
5
hormone levels
4
levels associated
4
associated live
4
rates art
4

Similar Publications

A narrative review of sleep and breast cancer: from epidemiology to mechanisms.

Cancer Causes Control

December 2024

Department of Clinical Nutrition, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, China.

Breast cancer is the leading cause of cancer-related death and the most common cancer among women worldwide. It is crucial to identify potentially modifiable risk factors to intervene and prevent breast cancer effectively. Sleep factors have emerged as a potentially novel risk factor for female breast cancer.

View Article and Find Full Text PDF

Metabolic syndrome during menopause can lead to diabetes, cardiovascular problems, and increased mortality rates. Hormone replacement therapy is recommended to manage climacteric complications, but it has serious adverse effects. This study, therefore, investigated the potential of supplementing some minerals, vitamins, and natural products like boric acid, magnesium, vitamin D3, and extra virgin olive oil on metabolic status of menopausal ovariectomized rats.

View Article and Find Full Text PDF

Purpose: The aim of this study was to investigate the effect of a 6-month Guolin Qigong on quality of life and serum cortisol among patients with cancer.

Methods: This study was a two-arm and non-randomized controlled trial. Forty-nine patients with cancer who were over 18 years of age and diagnosed with cancer were enrolled in this study and assigned to either the Guolin Qigong intervention group (IG, n = 26) or the usual care group (UC, n = 23) for 6 months.

View Article and Find Full Text PDF

Purpose: No currently available phase III trial compared docetaxel vs. androgen receptor pathway inhibitors (ARPI) regarding cancer-control outcomes in metastatic hormone-sensitive prostate cancer (mHSPC). Moreover, few is known about the effect of sequential therapies in mHSPC and subsequent metastatic castration resistant prostate cancer (mCRPC).

View Article and Find Full Text PDF

Background: Self-reported mental stress is not consistently recognized as a risk factor for stroke. This prompted development of a novel algorithm for stress-phenotype indices to quantify chronic stress prevalence in relation to a modified stroke risk score in a South African cohort. The algorithm is based on biomarkers adrenocorticotrophic hormone, high-density lipoprotein cholesterol, high-sensitive cardiac-troponin-T, and diastolic blood pressure which exemplifies the stress-ischemic-phenotype index.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!