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Association Between Anti-Müllerian Hormone Levels and Intrauterine Insemination Outcomes Across Different Ovarian Stimulation Protocols.

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    • Abstract:
      Background & Objective: Intrauterine Insemination (IUI) is a commonly used treatment of infertility. Anti-Müllerian Hormone (AMH), produced by growing ovarian follicles, is a reliable marker of ovarian reserve. This study was conducted with aim to investigate the association between AMH levels and pregnancy outcomes in women undergoing IUI with ovarian stimulation. Materials & Methods: This retrospective study was conducted on 104 infertile patients undergoing IUI at Dr. Hasan Sadikin Hospital, Bandung, from 2017 to 2021. Eligible women had age 20-35 years with unexplained infertility, mild endometriosis, or mild male factor infertility, and at least one patent fallopian tube. Natural cycle IUI and incomplete records were excluded. AMH levels were measured at cycle start and stratified into five categories: <1, 1-2, 2-3, 3-5, and >5 ng/mL. Stimulation protocols included Clomiphene Citrate (CC), recombinant Follicle-Stimulating Hormone (rFSH), or a combination. Clinical pregnancy was confirmed by serum β-hCG 14 days after IUI. Data was analyzed using SPSS software (version 26.0) and Chi-square test. P<0.05 was considered significant. Results: The overall clinical pregnancy rate was 36.5%. A significant association was found between AMH levels and pregnancy outcome in the rFSH group (P=0.036) and the CC + rFSH group (P=0.026), with higher AMH correlated with increased pregnancy rates. No significant association was observed in the CC-only group (P=0.613). Conclusion: AMH level may serve as a useful predictor of IUI success in gonadotropin-containing protocols but appears less predictive in CC-only cycles. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Obstetrics, Gynecology & Cancer Research is the property of Iranian Society of Gynecology Oncology (IRSGO) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)