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ORIGINAL RESEARCH article

Front. Reprod. Health
Sec. Assisted Reproduction
Volume 7 - 2025 | doi: 10.3389/frph.2025.1510484

Assessing Vitamin D's Impact on Pregnancy Success: A Predictive Model for assisted reproductive technologies (ART) Patients

Provisionally accepted
Songwei Jiang Songwei Jiang 1Zushun Chen Zushun Chen 2Liuming Li Liuming Li 1*
  • 1 Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Zhuang Region, China
  • 2 Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Region, China

The final, formatted version of the article will be published soon.

    Objective: To investigate the correlation between vitamin D levels and clinical pregnancy rates in infertile women undergoing IVF/ICSI procedures and to assess the utility of vitamin D levels in developing a predictive model for assisted reproductive technologies (ART) outcomes.Methods: A total of 188 infertile patients receiving their initial IVF or ICSI treatment at our reproductive center from June 2020 to July 2021 were selected for data collection.Vitamin D levels and other relevant ART-related factors were used to construct a predictive model.The multivariate regression analysis revealed several independent variables significantly impacted ART pregnancy outcomes, including infertility age, vitamin D level, reproductive hormone AMH, AFC, Gn dose, daily endometrial thickness following HCG administration, and number of retrieved eggs. The area under ROC curve for this comprehensive model was 75.34%, with a standard error of 0.045 and Pvalue of 0.003 (95% CI = 0 .712-0965). Furthermore, the multivariate regression analysis identified specific independent variables that might influence vitamin D levels, such as the number of embryos obtained, daily endometrial thickness following HCG administration, and clinical pregnancy.: The developed predictive model integrating serum 25-Hydroxyvitamin D (25(OH)D) level and ART-related factors holds significant clinical value in forecasting pregnancy outcomes.

    Keywords: Infertility, Art, Vitamin D, factors of affecting pregnancy, Logistic regression analysis

    Received: 01 Nov 2024; Accepted: 23 Jan 2025.

    Copyright: © 2025 Jiang, Chen and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Liuming Li, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Zhuang Region, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.