Post-traumatic seizures and factors associated among adult patients with depressed skull fractures at Mulago National Referral hospital; cross-sectional study.

INTRODUCTION: Post-traumatic seizures (PTS) are common among patients with depressed skull fractures (DSF). Understanding the burden of post traumatic seizures and the factors associated among adult patients with DSF is important to improve clinical care. OBJECTIVE: To determine the prevalence and factors associated with post-traumatic seizures among adult patients with DSF at Mulago National Referral hospital (MNRH). METHODS: A cross-sectional study was conducted among 333 study participants between March 2021 and February 2022. Socio-demographic, clinical laboratory factors and anti-seizure medications were collected using a study questionnaire. Data was analysed to determine the prevalence of PTS and factors associated with occurrence of PTS among patients with DSF. RESULTS: The mean age (±SD) of study participants was 31.2, (±10.5) years, with a male to female ratio of 10.4:1. Nearly half of the study participants had attained secondary level of education, while 31.6 % (105) were peasants (subsistence farmers). The overall prevalence of PTS among DSF study participants was 16.2 % (54participants). Late presentation of PTS was the highest at 9.0 % (30) followed by early PTS at 3.9 % [13] and immediate PTS at 3.3 % [11]. Moderate Glasgow coma score (GCS: 9-13), p < 0.015, severe traumatic brain injury (GCS: 3-8), p < 0.026 at the time of admission and midline brain shift (≥5mm), p < 0.009 were associated with PTS. Phenytoin (94.3 %) was the most commonly used ASM followed by phenobarbitone (1.4 %) and Valproate (1.1 %) among study participants. CONCLUSION: Patients with moderate and severe traumatic brain injury and midline brain shift were associated with post traumatic seizures. Early identification and intervention may reduce the burden of posttraumatic seizures in this category of patients.

Predictive models for occurrence of expansive intracranial hematomas and surgical evacuation outcomes in traumatic brain injury patients in Uganda: A prospective cohort study.

Background: Hematoma expansion is a common manifestation of acute intracranial hemorrhage (ICH) which is associated with poor outcomes and functional status. Objective: We determined the prevalence of expansive intracranial hematomas (EIH) and assessed the predictive model for EIH occurrence and surgical evacuation outcomes in patients with traumatic brain injury (TBI) in Uganda. Methods: We recruited adult patients with TBI with intracranial hematomas in a prospective cohort study. Data analysis using logistic regression to identify relevant risk factors, assess the interactions between variables, and developing a predictive model for EIH occurrence and surgical evacuation outcomes in TBI patients was performed. The predictive accuracies of these algorithms were compared using the area under the receiver operating characteristic curve (AUC). A p-values of < 0.05 at a 95% Confidence interval (CI) was considered significant. Results: A total of 324 study participants with intracranial hemorrhage were followed up for 6 months after surgery. About 59.3% (192/324) had expansive intracranial hemorrhage. The study participants with expansive intracranial hemorrhage had poor quality of life at both 3 and 6-months with p < 0.010 respectively. Among the 5 machine learning algorithms, the random forest performed the best in predicting EIH in both the training cohort (AUC = 0.833) and the validation cohort (AUC = 0.734). The top five features in the random forest algorithm-based model were subdural hematoma, diffuse axonal injury, systolic and diastolic blood pressure, association between depressed fracture and subdural hematoma. Other models demonstrated good discrimination with AUC for intraoperative complication (0.675) and poor discrimination for mortality (0.366) after neurosurgical evacuation in TBI patients. Conclusion: Expansive intracranial hemorrhage is common among patients with traumatic brain injury in Uganda. Early identification of patients with subdural hematoma, diffuse axonal injury, systolic and diastolic blood pressure, association between depressed fracture and subdural hematoma, were crucial in predicting EIH and intraoperative complications.