This single-centre retrospective cohort study aimed to investigate whether a clomiphene citrate (CC) priming protocol could increase ovarian sensitivity in poor ovarian responders. It included 294 patients (374 ovarian stimulation cycles). Of these, 193 cycles were treated by a CC priming antagonist protocol (study group) and 181 by the classical flexible gonadotropin-releasing hormone antagonist protocol (control group). Stimulation data and laboratory and clinical outcomes were compared between the groups. The results showed that in the study group, total gonadotropin dosage and dosage per follicle were considerably lower, the follicle-to-oocyte index was significantly higher, and the gonadotropin duration was shorter. After adjusting for potential confounders, multivariate regression analysis showed that cumulative ongoing pregnancy remained comparable between the groups (adjusted odds ratio: 0.761, 95% confidence interval: 0.300-1.933, = 0.566). Age, body mass index, gonadotropin dosage per follicle, and the follicle-to-oocyte index were negatively associated with the reproductive outcomes. The result of the sensitivity analysis showed that patients in the study group were administered less gonadotropin at a lower gonadotropin dosage per follicle and for a shorter duration. In conclusion, the CC priming antagonist protocol offered a convenient and patient-friendly way to increase ovarian sensitivity during ovarian stimulation in poor ovarian responders.
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http://dx.doi.org/10.1080/14647273.2022.2109069 | DOI Listing |
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 PDFNat 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 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.
BJOG
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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