ArticleTrauma surgery & acute care open2021
Incorporating age improves the Glasgow Coma Scale score for predicting mortality from traumatic brain injury.
Article in Trauma surgery & acute care open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Effects of balanced solution on short-term outcomes in traumatic brain injury patients: a secondary analysis of the BaSICS randomized trial.Revista Brasileira de terapia intensivaTrial
- Characteristics and Risk Factors for Delirium in Critically Ill Cardiac Surgery Patients: An Observational Study.Nursing reports (Pavia, Italy) · 2026Article
- Prognostic Value of mNUTRIC and CONUT Scores in ICU Patients with Intracranial Hemorrhage.Journal of clinical medicine · 2026Article
- Comparison of Prehospital Versus Arrival Glasgow Coma Scale Scores Among Trauma Patients: A Retrospective Analysis.Cureus · 2025Article
- Glasgow Coma Scale Score at Admission in Traumatic Brain Injury Patients: A Multicenter Observational Analysis.Journal of clinical medicine · 2025Article
- The Prognostic Value of D-Dimer Levels for Injury Outcomes in Trauma Patients: A Systematic Review and Meta-Analysis.Bulletin of emergency and trauma · 2025Review
- Gastrointestinal bleeding following traumatic brain injury: A clinical study on predisposing factors and outcomes.Caspian journal of internal medicine · 2024Article
- Factors related to early and rapid assessment of in-hospital mortality among older adult trauma patients in an earthquake.World journal of emergency medicine · 2022Article
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8 authors.
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Abstract
backgroundThe Glasgow Coma Scale (GCS) score has been adapted into categories of severity (mild, moderate, and severe) and are ubiquitous in the trauma setting. This study sought to revise the GCS categories to account for an interaction by age and to determine the discrimination of the revised categories compared with the standard GCS categories.
methodsThe American College of Surgeons National Trauma Data Bank registry was used to identify patients with traumatic brain injury (TBI; ICD-9 codes 850-854.19) who were admitted to participating trauma centers from 2010 to 2015. The primary exposure variables were GCS score and age, categorized by decade (teens, 20s, 30s…, 80s). In-hospital mortality was the primary outcome for examining TBI severity/prognostication. Logistic regression was used to calculate the conditional probability of death by age decade and GCS in a development dataset (75% of patients). These probabilities were used to create a points-based revision of the GCS, categorized as low (mild), moderate, and high (severe). Performance of the revised versus standard GCS categories was compared in the validation dataset using area under the receiver operating characteristic (AUC) curves.
resultsThe final population included 539,032 patients with TBI. Age modified the performance of the GCS, resulting in a novel categorization schema for each age decile. For patients in their 50s, performance of the revised GCS categories mirrored the standard GCS categorization (3-8, 9-12, 13-15); all other revised GCS categories were heavily modified by age. Model validation demonstrated the revised GCS categories statistically significantly outperformed the standard GCS categories at predicting mortality (AUC: 0.800 vs 0.755, p<0.001). The revised GCS categorization also outperformed the standard GCS categories for mortality within pre-specified subpopulations: blunt mechanism, isolated TBI, falls, non-transferred patients. DISCUSSION: We propose the revised age-adjusted GCS categories will improve severity assessment and provide a more uniform early prognostic indicator of mortality following traumatic brain injury. LEVEL OF EVIDENCE: III epidemiologic/prognostic.
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