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November 21, 2025Frontiers in MedicineOpen Access

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

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Authors

KJKe JiangYLYaqiang LiZSZhongbo Sun

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Overview

Multivariate analysis identifies key predictors for postoperative UTI in intracranial hemorrhage patients, suggesting a useful nomogram for clinical practice.

Key Points

  • To identify risk factors for postoperative UTI in patients with intracranial hemorrhage and develop a nomogram for prediction.
  • Enrolled surgical patients with intracerebral hemorrhage from January 2020 to November 2023.
  • Performed multivariate logistic regression to identify predictors of postoperative UTI.
  • Evaluated nomogram performance using area under the ROC curve and calibration tests.
  • 436 patients with ICH were enrolled; 87 had UTI after surgery.
  • Key predictors included NLR, D-Dimer, TNF-α, and age over 65 years.
  • Nomogram showed high predictive capability with C-index of 0.865 in training and 0.867 in validation cohort.

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/6924e3f8c0ce034ddc34f3cchttps://doi.org/10.3389/fmed.2025.1552191
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Also Consider

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  1. 1Development and validation of a predictive model for postoperative functional recovery in patients with spontaneous intracerebral hemorrhage2025
  2. 2Development and validation of a nomogram to predict postsurgical intra-abdominal infection in blunt abdominal trauma patients: A multicenter retrospective study2024 · 3 citations
  3. 3Development and validation of a nomogram to predict intracranial haemorrhage in neonates2024
  4. 4P07.09.A DEVELOPMENT AND VALIDATION OF A LOGISTIC REGRESSION-BASED NOMOGRAM FOR PREDICTING POSTOPERATIVE HEMORRHAGE FOLLOWING INTRACRANIAL TUMOR BIOPSY: A SINGLE-CENTER PILOT STUDY2025
  5. 5Development and Validation of a Prediction Model for Venous Thromboembolic Events Following Hematoma Evacuation in Patients with Spontaneous Intracerebral Hemorrhage2025