ArticleFrontiers in neurology2025
A prognostic model for long-term outcome in moderate-severe traumatic brain injury using multimodal neuromonitoring: a retrospective cohort analysis.
Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Article
- EEG Biomarkers During Upper-Limb Action Observation Therapy for Stroke Rehabilitation: A Scoping Review.Annals of biomedical engineering · 2026Review
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5 authors.
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Abstract
Background: Moderate-to-severe traumatic brain injury (msTBI) remains a leading cause of long-term disability and mortality. While multimodal neuromonitoring (MMM) provides real-time insights into cerebral pathophysiology, its integration into prognostic models for long-term outcomes requires further validation. Objective: To develop and evaluate a prognostic model for 6-month neurological outcomes in msTBI patients using acute-phase multimodal monitoring parameters, clinical variables, and comorbidities. Methods: We conducted a retrospective cohort study of 143 adult patients with msTBI [Glasgow Coma Scale (GCS) 4-12] who underwent multimodal intracranial monitoring (ICP, CPP, PbtO₂, and cerebral microdialysis) for ≥48 h at Results: Of 143 patients, 86 (60.1%) had favorable outcomes and 57 (39.9%) had unfavorable outcomes (including 29 deaths). Independent predictors of unfavorable outcome were: older age (adjusted OR 1.055 per year, 95% CI: 1.015-1.098), lower admission GCS (OR 0.713, 95% CI: 0.537-0.947), elevated lactate/pyruvate ratio (LPR) (OR 1.129 per unit, 95% CI: 1.044-1.220), reduced brain tissue oxygen tension (PbtO₂) (OR 0.842 per mmHg, 95% CI: 0.730-0.972), and pre-existing coronary heart disease (OR 3.866, 95% CI: 0.998-14.976). The final model demonstrated excellent discriminative performance with an AUC of 0.882 (95% CI: 0.820-0.944) and good calibration (Hosmer-Lemeshow Conclusion: A prognostic model incorporating multimodal neuromonitoring parameters (LPR and PbtO₂), age, admission GCS, and coronary heart disease accurately predicts 6-month outcomes in msTBI patients. These findings support the clinical utility of integrated neuromonitoring for early risk stratification and personalized neurocritical care.
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