Background: A variety of indicators of potentially successful ovarian stimulation cycles are available, including biomarkers such as anti-Mullerian hormone. The aim of our study was to confirm the usefulness of serum anti-Mullerian hormone assay in predicting ovarian response and reproductive outcome in women eligible for ART cycles.
Materials: Forty-six women undergoing ART cycles at the Centre for Reproductive Medicine in Parma were recruited from March-to-June 2010.
Inclusion Criteria: age<42 years; body-mass-index = 20-25; regular menstrual cycles; basal serum FSH concentration <12 IU/L and basal serum estradiol concentration <70 pg/mL. The couples included in our study reported a variety of primary infertility causes. All women underwent FSH stimulation and pituitary suppression (GnRH-agonist/GnRH-antagonist protocols). Women were considered poor-responders if they had ≤ 3 oocytes; normal-responders 4-9 oocytes and high-responders ≥ 10 oocytes. Serum samples for the AMH assays were obtained on the first and last days of stimulation. A P value ≤ 0.05 was considered statistically significant.
Result: FSH levels increased significantly when AMH levels decreased. The total dose of r-FSH administered to induce ovulation was not correlated to AMH. The number of follicles on the hCG, serum estradiol levels on the hCG-day, and the number of retrieved oocytes were significantly correlated to AMH. The number of fertilized oocytes was significantly correlated to the AMH levels. No significant correlation was found between obtained embryos or transferred embryos and AMH. Basal serum AMH levels were significantly higher than those measured on the hCG-day, which appeared significantly reduced. There was a significant correlation between AMH in normal responders and AMH in both high and poor responders.
Conclusions: Our data confirm the clinical usefulness of AMH in ART-cycles to customize treatment protocols and suggest the necessity of verifying an eventual permanent decrease in AMH levels after IVF.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439394 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0044571 | PLOS |
Sci Rep
January 2025
Division of Infertility, Lee Women's Hospital, Taichung City, 406, Taiwan.
This study evaluated the effectiveness of intraovarian platelet-rich plasma (PRP) injection in improving ovarian response and embryo quality in IVF patients with poor embryo quality in previous controlled ovarian hyperstimulation (COH) cycles. 74 patients participated, with 30 in the control group and 44 in the PRP group. PRP was injected during the follicular phase for the PRP group.
View Article and Find Full Text PDFZhonghua Yi Xue Yi Chuan Xue Za Zhi
January 2025
Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China.
Objective: To assess the feasibility of first polar body transfer (PB1T) combined with preimplantation mitochondrial genetic testing for blocking the transmission of a pathogenic mitochondrial DNA 8993T>G mutation.
Methods: A Chinese family affected with Leigh syndrome which had attended the Reproductive Medicine Centre of the First Affiliated Hospital of Anhui Medical University in September 2021 was selected as the study subject. Controlled ovarian hyperstimulation was carried out for the proband after completing the detection of the mitochondrial DNA 8993T>G mutation load among the pedigree members.
Nat Commun
January 2025
Department of Metabolism, Digestion, and Reproduction, Imperial College London, London, UK.
Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'rules-of-thumb'. Machine learning techniques are well-suited to analyzing complex data to provide data-driven recommendations to improve decision-making.
View Article and Find Full Text PDFBJOG
January 2025
Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Objective: To determine the optimal luteinising hormone (LH) level on the trigger day and its impact on pregnancy outcomes in gonadotropin-releasing hormone (GnRH) antagonist protocols using a data-driven approach.
Design: Retrospective cohort study.
Setting: Third Affiliated Hospital of Guangzhou Medical University.
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.
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