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Background: Expansive intracranial hematomas (EIH) following traumatic brain injury (TBI) continue to be a public health problem in Uganda. Data is limited regarding the neurosurgical outcomes of TBI patients. This study investigated the neurosurgical outcomes and associated risk factors of EIH among TBI patients at Mulago National Referral Hospital (MNRH)., Methods: A total of 324 subjects were enrolled using a prospective cohort study. Socio-demographic, risk factors and complications were collected using a study questionnaire. Study participants were followed up for 180 days. Univariate, multivariable, Cox regression analyses, Kaplan Meir survival curves, and log rank tests were sequentially conducted. P-values of < 0.05 at 95% Confidence interval (CI) were considered to be statistically significant., Results: Of the 324 patients with intracranial hematomas, 80.6% were male. The mean age of the study participants was 37.5 ± 17.4 years. Prevalence of EIH was 59.3% (0.59 (95% CI: 0.54 to 0.65)). Participants who were aged 39 years and above; PR = 1.54 (95% CI: 1.20 to 1.97; P = 0.001), and those who smoke PR = 1.21 (95% CI: 1.00 to 1.47; P = 0.048), and presence of swirl sign PR = 2.26 (95% CI: 1.29 to 3.95; P = 0.004) were found to be at higher risk for EIH. Kaplan Meier survival curve indicated that mortality at the 16-month follow-up was 53.4% (95% CI: 28.1 to 85.0). Multivariate Cox regression indicated that the predictors of mortality were old age, MAP above 95 mmHg, low GCS, complications such as infection, spasticity, wound dehiscence, CSF leaks, having GOS < 3, QoLIBRI < 50, SDH, contusion, and EIH., Conclusion: EIH is common in Uganda following RTA with an occurrence of 59.3% and a 16-month higher mortality rate. An increased age above 39 years, smoking, having severe systemic disease, and the presence of swirl sign are independent risk factors. Old age, MAP above 95 mmHg, low GCS, complications such as infection, spasticity, wound dehiscence, CSF leaks, having a GOS < 3, QoLIBRI < 50, ASDH, and contusion are predictors of mortality. These findings imply that all patients with intracranial hematomas (IH) need to be monitored closely and a repeat CT scan to be done within a specific period following their initial CT scan. We recommend the development of a protocol for specific surgical and medical interventions that can be implemented for patients at moderate and severe risk for EIH., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Objective: Traumatic brain injury (TBI) is a major cause of mortality and morbidity in Uganda and other low- and middle-income countries (LMICs). Due to the difficulty of long-term in-person follow-up, there is a paucity of literature on longitudinal outcomes of TBI in LMICs. Using a scalable phone-centered survey, this study attempted to investigate factors associated with both mortality and quality of life in Ugandan patients with TBI., Methods: A prospective registry of adult patients with TBI admitted to the neurosurgical ward at Mulago National Referral Hospital was assembled. Long-term follow-up was conducted between 10.4 and 30.5 months after discharge (median 18.6 months). Statistical analyses included univariable and multivariable logistic regression and Cox proportional hazards regression to elucidate factors associated with mortality and long-term recovery., Results: A total of 1274 adult patients with TBI were included, of whom 302 (23.7%) died as inpatients. Patients who died as inpatients received surgery less frequently (p < 0.001), had more severe TBI at presentation (p < 0.001), were older (p < 0.001), and were more likely to be female (p < 0.0001). Patients presenting with TBI resulting from assault were at reduced risk of inpatient death compared with those presenting with TBI caused by road traffic accidents (OR 0.362, 95% CI 0.128-0.933). Inpatient mortality and postdischarge mortality prior to follow-up were 23.7% and 9%, respectively. Of those discharged, 60.8% were reached through phone interviews. Higher Glasgow Coma Scale score at discharge (continuous HR 0.71, 95% CI 0.53-0.94) was associated with improved long-term survival. Tracheostomy (HR 4.38, 95% CI 1.05-16.7) and older age (continuous HR 1.03, 95% CI 1.009-1.05) were associated with poor long-term outcomes. More than 15% of patients continued to suffer from TBI sequelae years after the initial injury, including seizures (6.1%) and depression (10.0%). Despite more than 60% of patients seeking follow-up healthcare visits, mortality was still 9% among discharged patients, suggesting a need for improved longitudinal care to monitor recovery progress., Conclusions: Inpatient and postdischarge mortality remain high following admission to Uganda's main tertiary hospital with the diagnosis of TBI. Furthermore, posttraumatic sequelae, including seizures and depression, continue to burden patients years after discharge. Effective scalable solutions, including phone interviews, are needed to elucidate and address factors limiting in-hospital capacity and access to follow-up healthcare.

Background: Significant care continuum delays between acute traumatic brain injury (TBI) and definitive surgery are associated with poor outcomes. Use of the "3 delays" model to evaluate TBI outcomes in low- and middle-income countries has not been performed., Objective: To describe the care continuum, using the 3 delays framework, and its association with TBI patient outcomes in Kampala, Uganda., Methods: Prospective data were collected for 563 TBI patients presenting to a tertiary hospital in Kampala from 1 June to 30 November 2016. Four time intervals were constructed along 5 time points: injury, hospital arrival, neurosurgical evaluation, computed tomography (CT) results, and definitive surgery. Time interval differences among mild, moderate, and severe TBI and their association with mortality were analyzed., Results: Significant care continuum differences were observed for interval 3 (neurosurgical evaluation to CT result) and 4 (CT result to surgery) between severe TBI patients (7 h for interval 3 and 24 h for interval 4) and mild TBI patients (19 h for interval 3 and 96 h for interval 4). These postarrival delays were associated with mortality for mild (P = .05) and moderate TBI (P = .03) patients. Significant hospital arrival delays for moderate TBI patients were associated with mortality (P = .04)., Conclusion: Delays for mild and moderate TBI patients were associated with mortality, suggesting that quality improvement interventions could target current triage practices. Future research should aim to understand the contributors to delays along the care continuum, opportunities for more effective resource allocation, and the need to improve prehospital logistical referral systems.

In Brief: This study used telephone surveys as a novel method of measuring health outcomes and tracking healthcare utilization in pediatric head trauma patients at the national referral hospital in Uganda. As the first-ever long-term follow-up of this patient population in Uganda, this work establishes a baseline of pediatric head trauma outcomes and lays the groundwork for tracking and improving outcomes for similar patients in low-resource settings.

Background: Traumatic Brain Injury (TBI) is disproportionally concentrated in low- and middle-income countries (LMICs), with the odds of dying from TBI in Uganda more than 4 times higher than in high income countries (HICs). The objectives of this study are to describe the processes of care and determine risk factors predictive of poor outcomes for TBI patients presenting to Mulago National Referral Hospital (MNRH), Kampala, Uganda., Methods: We used a prospective neurosurgical registry based on Research Electronic Data Capture (REDCap) to systematically collect variables spanning 8 categories. Univariate and multivariate analysis were conducted to determine significant predictors of mortality., Results: 563 TBI patients were enrolled from 1 June- 30 November 2016. 102 patients (18%) received surgery, 29 patients (5.1%) intended for surgery failed to receive it, and 251 patients (45%) received non-operative management. Overall mortality was 9.6%, which ranged from 4.7% for mild and moderate TBI to 55% for severe TBI patients with GCS 3-5. Within each TBI severity category, mortality differed by management pathway. Variables predictive of mortality were TBI severity, more than one intracranial bleed, failure to receive surgery, high dependency unit admission, ventilator support outside of surgery, and hospital arrival delayed by more than 4 hours., Conclusions: The overall mortality rate of 9.6% in Uganda for TBI is high, and likely underestimates the true TBI mortality. Furthermore, the wide-ranging mortality (3-82%), high ICU fatality, and negative impact of care delays suggest shortcomings with the current triaging practices. Lack of surgical intervention when needed was highly predictive of mortality in TBI patients. Further research into the determinants of surgical interventions, quality of step-up care, and prolonged care delays are needed to better understand the complex interplay of variables that affect patient outcome. These insights guide the development of future interventions and resource allocation to improve patient outcomes.