Characteristics and clinical outcome of traumatic brain injury in Lombok, Indonesia

Background: Traumatic brain injury (TBI) has risen sharply, mainly due to increased use of motorized vehicles in countries with low and middle income. Traffic accidents are the main cause of TBI (60%) followed by falls (20%–25%) and violence (10%). Computed tomography (CT) is recommended for initial...

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Bibliographic Details
Main Authors: Rohadi Muhammad Rosyidi, Bambang Priyanto, Ni Komang Putri Laraswati, Andi Asadul Islam, Mochammad Hatta, Agussalim Bukhari, Muhammad Kamil, D.P. Wisnu Wardhana
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Interdisciplinary Neurosurgery
Online Access:http://www.sciencedirect.com/science/article/pii/S2214751918303177
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Summary:Background: Traumatic brain injury (TBI) has risen sharply, mainly due to increased use of motorized vehicles in countries with low and middle income. Traffic accidents are the main cause of TBI (60%) followed by falls (20%–25%) and violence (10%). Computed tomography (CT) is recommended for initial assessment in emergency services. Not only provides information and diagnosis to identify surgical needs, but also helps in evaluating patients and outcomes. Method: A retrospective study conducted using medical record data of neurosurgery patients who met the inclusion criteria in West Nusa Tenggara General Hospital in 2015 until 2017. The sample size is determined by consecutive sampling method. Result: Sample size was 209 patients. Male patients more common than female (78.95%). The highest age group at 21–30 years (21.53%) with average age was 31.66 years old. The initial median GCS was 10 points. The most common cause was motor vehicle accidents (MVA) with 176 cases (84.21%). The highest mortality rate was found in the severe brain injury group with 31 patients (14.83%). Average duration of treatment were 7.58 days. Conclusion: There was a significant relationship between age, initial GCS value, mortality rate, and length of stay for TBI patients with outcome predictions based on CT Marshall classification. Keywords: Traumatic brain injury, Outcome prediction factors of TBI, CT Marshall classification
ISSN:2214-7519