# Assessing vitamin D's impact on pregnancy success: a predictive model for assisted reproductive technology outcomes

## TL;DR

This study explores how vitamin D levels affect pregnancy success in women undergoing IVF or ICSI treatments and builds a predictive model to forecast outcomes.

## Contribution

The study introduces a predictive model integrating vitamin D levels and ART-related factors to forecast pregnancy outcomes.

## Key findings

- Vitamin D levels significantly impact ART pregnancy outcomes alongside other clinical factors.
- The predictive model achieved an area under the ROC curve of 75.34%.
- Variables like endometrial thickness and retrieved eggs influence vitamin D levels.

## Abstract

To investigate the correlation between vitamin D levels and clinical pregnancy rates in infertile women undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) procedures and to assess the utility of vitamin D levels in developing a predictive model for assisted reproductive technology (ART) outcomes.

A total of 188 infertile patients receiving their initial IVF or ICSI treatment at our reproductive center between June 2020 and 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 that several independent variables significantly impacted ART pregnancy outcomes, including infertility age, vitamin D level, reproductive anti-Müllerian hormone, antral follicle count, Gn dose, daily endometrial thickness after human chorionic gonadotropin (HCG) administration, and number of retrieved eggs. The area under the receiver operating characteristic curve for this comprehensive model was 75.34%, with a standard error of 0.045 and p-value of 0.003 (95% confidence interval 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 after HCG administration, and clinical pregnancy.

The developed predictive model integrating serum 25-Hydroxyvitamin D level and ART-related factors holds significant clinical value in forecasting pregnancy outcomes.