Development and validation of a clinical prediction model of fertilization failure during routine IVF cycles.

ABSTRACT:

Purpose

This study aims to create and validate a clinical model that predict the probability of fertilization failure in routine in-vitro fertilization (IVF) cycles.

Methods

This study employed a retrospective methodology, gathering data from 1770 couples that used reproductive center's of the Fourth Hospital of Hebei Medical University standard IVF fertilization between June 2015 and June 2023. 1062 were in the training set and 708 were in the validation set when it was randomly split into the training set and validation set in a 6:4 ratio. The study employed both univariate and multivariate logistic regression analysis to determine the factors those influence the failure of traditional in vitro fertilization. Based on the multiple regression model, a predicti

SUBMITTER: Xingnan L 

PROVIDER: S-EPMC10834765 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature