ArticleFrontiers in medicine2025
Construction and validation of a risk prediction model for postoperative urinary tract infection in intracranial hemorrhage patients.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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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 examined using the Hosmer-Lemeshow goodness-of-fit test and calibration plots. Additionally, decision curve analysis was performed to determine the clinical utility of the nomogram. Results: A total of 436 patients with ICH were enrolled in the study. In the training cohort (n = 305), 87 patients had UTI after intracerebral hemorrhage. Multivariate logistic regression analysis demonstrated neutrophil-to-lymphocyte ratio (NLR; OR, 1.357; 95% CI, 1.162-1.899; Conclusion: This study presents a new and practical nomogram that uses NLR, D-Dimer, TNF-
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