Construction and validation of a risk prediction model for postoperative urinary tract infection in intracranial hemorrhage patients.

ABSTRACT:

Objectives

This study aimed to explore the risk factors for postoperative urinary tract infection (UTI) in patients with intracranial hemorrhage (ICH) and to establish and validate a nomogram that integrates predictive factors to estimate the likelihood of postoperative UTI following ICH.

Methods

This study enrolled surgical patients with intracerebral hemorrhage (ICH) from January 2020 to November 2023, categorizing them into training and validation groups. Using multivariate logistic regression analysis, we identified significant predictors of postoperative UTI in the training group to include in the nomogram. To evaluate the discriminative ability of the nomogram, the area under the receiver operating characteristic curve was utilized. The calibration of the nomogram was

SUBMITTER: Jiang K 

PROVIDER: S-EPMC12678245 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature