Nomogram for predicting the risk of preterm birth in women undergoing in vitro fertilization cycles.

ABSTRACT:

Background

The aim of this study was to develop a nomogram for predicting the risk of preterm birth in women undergoing in vitro fertilization (IVF) cycles.

Methods

A retrospective study of 4266 live birth cycles collected from January 2016 to October 2021 at the Center for Reproductive Medicine, First Hospital of Jilin University was performed. The sample size was sufficient based on the minimal ten events per variable (EPV) rule. The primary outcome of this study was preterm birth. The cycles were divided into the preterm birth group (n = 827) and the full-term delivery group (n = 3439). A nomogram was established based on the multivariate logistic regression analysis results. The area under the curve (AUC) was calculated to assess the prediction accuracy of the nomogram m

SUBMITTER: Wang M 

PROVIDER: S-EPMC10163771 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature