Maternal predictors of early-onset sepsis in neonates: a multicenter retrospective cohort study and risk prediction model.

ABSTRACT:

Objectives

Early-onset sepsis (EOS) is a common and serious neonatal infection that contributes significantly to morbidity and mortality. A comprehensive understanding of maternal risk factors and their association with EOS is essential for developing effective preventive strategies.

Methods

In this study, Clinical and laboratory data of the patients were extracted from two hospitals in Chongqing, China (2017-2023). Collinearity analysis was performed to exclude variables with multicollinearity. Restricted cubic spline (RCS) analyses were applied to evaluate potential linear or nonlinear associations between continuous maternal variables and the risk of EOS. A multivariable Poisson regression model was developed to identify independent maternal predictors of EOS and construc

SUBMITTER: Li S 

PROVIDER: S-EPMC12532861 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature