Risk factors and nomogram for the prediction of intracranial hemorrhage in very preterm infants.

ABSTRACT:

Aims

This study aims to identify important risk factors for intracranial hemorrhage (ICH) in very preterm infants at our institution and develop a predictive nomogram for early detection of ICH.

Methods

We retrospectively analyzed neonates with a gestational age (GA) under 32 weeks, admitted to the neonatal intensive care unit from March 2022 to July 2023. Infants were categorized into two groups based on ultrasound findings and assessed for thirteen variables including gender, GA, birth weight (BW), acidosis, among others. We used multivariate logistic regression analysis to build a prediction model and identify independent risk factors for ICH. We build a prediction model by assigning 241 cases to the training set and 103 to the validation set (ratio 7:3).

Results

A

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11616105 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature