Objective: To identify risk factors associated with progressive hemorrhagic injury (PHI) in patients with isolated traumatic brain injury (TBI) and to develop prognostic models for predicting patient outcomes.
Methods: A total of 137 patients with isolated TBI who underwent additional CT scans were included in the retrospective study. Single-factor analysis and multivariate logistic regression analysis were performed to identify significant risk factors associated with PHI development. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the diagnostic value of specific markers for predicting PHI.
Results: Single-factor analysis revealed significant differences between the PHI group (62 patients) and the non-PHI group (75 patients) in various factors, including gender, etiology, pupillary size and reflex, midline shift, associated brain contusion, D-dimer (D-D) levels, neutrophil-to-lymphocyte ratio (NLR), platelet count, blood glucose levels, and Glasgow Coma Scale (GCS) score. Multivariate logistic regression analysis identified NLR, blood glucose level, and GCS score as significant risk factors for PHI in isolated TBI patients, and also identified GCS score, NLR, platelet-to-lymphocyte ratio (PLR), and age as significant factors for predicting prognosis. ROC curve analysis showed that NLR had significant auxiliary diagnostic value for predicting PHI.
Conclusion: NLR, blood glucose level, and GCS score are significant risk factors for PHI development in isolated TBI patients. The constructed prognostic model incorporating age, GCS score, NLR, and PLR offers valuable predictive capabilities for PHI patient outcome in isolated TBI cases.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733330 | PMC |
http://dx.doi.org/10.62347/JEDY7237 | DOI Listing |
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