Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Epidemiology, outcomes, and risk factors of traumatic brain injury in Bangladesh

A prospective cohort study with a focus on road traffic injury-related vulnerability

Bibliographic Data

ID22087029
AuthorsFarah Naz Rahman (0000-0002-2265-2742, International Centre for Diarrhoeal Disease Research), Sukriti Das (0000-0001-7609-6537, Bangladesh Medical University), Manzur Kader (0000-0001-8181-648X, Dalarna University, corresponding author), Saidur Rahman Mashreky (0000-0001-7892-798X, North South University)
Year2025
Volume13
Pages1514011-1514011
Publication date2025-02-14
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1514011
PMID40027497
OpenAlexW4407588574
LanguageEN
References cited36

Background Low-and middle-income countries bear a disproportionate burden of traumatic brain injury (TBI), with significant consequences for affected individuals and health systems. However, evidence on the incidence, risk factors, and associated vulnerability—particularly from road traffic injuries (RTIs)—remains limited in South Asia, including Bangladesh, which has one of the highest RTI burdens globally. This study aimed to investigate the epidemiology, clinical characteristics, health outcomes of TBI, and the vulnerability and risk factors associated with RTI-related TBI in Bangladesh. Methods A prospective observational cohort study was conducted at Dhaka Medical College and Hospital from May to June 2017. Data were collected during patient admission and at 30-day follow-up (or discharge). Registered medical practitioners used a semi-structured questionnaire to collect data, including the Glasgow Coma Scale (GCS), Glasgow Outcome Scale (GOS), and EuroQol-5D-3L. Descriptive analysis was used to present the incidence, clinical characteristics, outcomes, and pre-hospital care scenarios for TBI. The Chi-square test and multivariable logistic regression analysis were performed to identify the vulnerability of RTI-related TBI and its predictive factors for mortality. Results The study followed 659 TBI cases. The mean age was 32.3 years, and the majority (80.1%) were male. RTIs were the leading cause of TBI (62%), followed by physical assault (17%) and falls (16%). The mortality rate was 10.3% ( n = 68). Patients with RTI-related TBI had 1.95 times higher odds (95% CI 1.21–3.14) of severe GCS scores ( 1 h (aOR 4.4, p 8 h (aOR 2.8, p < 0.01, 95% CI 1.4–5.5). Nearly all patients lacked first aid and emergency transport, and two-thirds were referred from primary and secondary facilities, with one-third receiving no treatment before referral. Conclusion RTI is the most vulnerables, duration of unconsciousness, and treatment delays are key predictors of mortality. These findings can inform policy for prevention and management of TBI in Bangladesh and similar settings

Cohort study · Glasgow Coma Scale · Glasgow Outcome Scale · Injury prevention · Logistic regression · Odds ratio · Poison control · Psychiatry · Traumatic brain injury · Medicine · Trauma and Emergency Care Studies · Traumatic Brain Injury and Neurovascular Disturbances · Traumatic Brain Injury Research · Emergency Medicine · Epidemiology · Internal Medicine

  • Costs of Nonfatal Traumatic Brain Injury in the United States, 2016

    Gabrielle F Miller, Lara DePadilla et al.•Medical Care•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae