Mortality and Risk Factors in Isolated Traumatic Brain Injury Patients: A Prospective Cohort Study

Introduction: Outcomes in patients with isolated traumatic brain injury (iTBI) have not been evaluated comprehensively in low-income and middle-income countries. We aimed to study the in-hospital iTBI mortality and its associated risk factors in a prospective multi-center Indian trauma registry. Methods: Patients with iTBI (head and neck Abbreviated Injury Score >= 2 and other region Abbreviated Injury Score <= 2) were included. Study variables comprised age, gender, mechanism of injury, systolic blood pressure (SBP) at arrival, Glasgow Coma Scale (GCS) score - classified as mild (13-15), moderate (9-12), and severe (3-8), transfer status, and time to presentation at any participating hospital. A multivariable logistic regression was performed to assess the impact of these factors on 24-h and 30-d mortality following iTBI. Results: Among 5042 included patients, 24-h and 30-d in-hospital mortalities were 5.9% and 22.4%. On a regression analysis, 30-d mortality was associated with age >= 45 y (odds ratio [OR] = 2.1 [1.6-2.7]), railway injury mechanisms (OR = 2.1 [1.3-3.5]), SBP <90 mmHg (OR = 2.6 [1.6-4.1]), and moderate (OR = 3.8 [3.0-5.0]) to severe (OR = 21.1 [16.8-26.7]) iTBI based on GCS scores. 24-h mortality showed similar trends. Patients transferred to the participating hospitals from other centers had higher odds of 30-d mortality (OR = 1.4 [1.2-1.8]) compared to those arriving directly. Those who received neurosurgical intervention had lower odds of 24-h mortality (0.3 [0.2-0.4]). Conclusions: Age >= 45 y, GCS score <= 12, and SBP <90 mmHg at arrival increased the risk of in-hospital mortality from iTBI. (C) 2022 Published by Elsevier Inc.

Automated summary

This study aimed to evaluate the outcomes of patients with isolated traumatic brain injury (iTBI) in low-income and middle-income countries. The results showed that age, Glasgow Coma Scale (GCS) scores, and systolic blood pressure (SBP) at arrival were associated with in-hospital mortality risk.