Supplementary Files
Keywords
injury severity score
intracranial haemorrhage
mortality
neurosurgery
traumatic brain injury.
How to Cite
Abstract
Introduction: Traumatic intracranial haemorrhage is a major contributor to trauma-related morbidity and mortality.
Existing prognostic models often lack accuracy, generalizability, and ease of application due to the complexity of required variables.
Objective: This study aimed to develop a simple yet accurate risk stratification model for predicting mortality in patients
with traumatic intracranial haemorrhage.
Methodology: A prospective study was conducted at the Department of Neurological Surgery, KMCTH, from January first to December 31st, 2020. A total of 200 patients with traumatic intracranial haemorrhage who underwent neurosurgical intervention were included, while those with infections, open wounds, or multiple planned surgeries were excluded. Data collected included age, sex, blood pressure, Glasgow Coma Scale, Injury Severity Score, type of intracranial haemorrhage, and body mass index. Mortality outcomes were assessed within 30 days. Statistical analyses, including univariate and multivariate logistic regression, were conducted using IBM SPSS Statistics for Windows version 16 ( Chicago, SPSS Inc.)
Result: The overall mortality rate was 35%. Independent predictors of mortality included age (OR: 1.05, 95% CI: 1.02
– 1.08), GCS score (OR: 0.85, 95% CI: 0.75 – 0.94), and ISS (OR: 1.12, 95% CI: 1.04 – 1.20). Cases with Subdural hematoma
had the highest mortality (60%) and decompressive craniectomy was associated with the highest mortality (45%) . The
proposed model demonstrated excellent discriminative ability (AUC = 0.89).
Conclusion: This study presents a reliable risk stratification model for predicting mortality in traumatic intracranial
haemorrhage patients, emphasizing key clinical variables. These findings may improve decision-making, facilitate timely
interventions, and optimize trauma care resources.
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