Clinical Characteristics and Outcomes of Pediatric Traumatic Brain Injury Patients in a Tertiary Regional Trauma Center in the Philippines
Bibliographic record
Abstract
Abstract: Traumatic brain injury (TBI) is a leading cause of disability and death in children. Limited data exists on pediatric TBI in Southeast Asia, especially in low- and -middle-income countries. This study investigates the clinical characteristics and outcomes of pediatric TBI patients in a tertiary trauma center in the Philippines. This retrospective cohort study examined pediatric patients (18 years and under) with TBI admitted to a Philippine trauma center from 2021 to 2023. A total of 218 patients were included. Data on demographics, injury mechanisms, TBI severity, cranial imaging, surgical procedures, complications, and discharge outcomes were analyzed. Abstract: Among the 218 patients, 75% were male, and most were aged 13-18. The primary mechanism of injury was motor vehicle crashes (MVCs), especially in older children (80%). For patients under 5, falls and MVCs were equally common. Most cases were mild (69%), and 40.8% had negative cranial imaging. Epidural hematoma (20%) was the most common abnormal finding. Of the patients, 8% required surgery, with craniotomy for epidural hematoma being the most frequent procedure. Half of those who underwent surgery had neurological deficits, and there was one recorded death. Overall, 86.7% of patients were discharged without complications, though only 34.6% of those with severe TBI had good outcomes. The overall complication rate was 8.7%, with mild neurological deficits being most common. The case fatality rate was 4.6%, with severe TBI showing a higher rate of 30.8%. The majority of patients were male teenagers involved in MVCs. Although most TBIs were mild, there was a notable incidence of severe TBI, particularly with epidural hematoma. These findings suggest higher-impact trauma in the Philippines. The complication and mortality rates align with other studies. Efforts should focus on road safety, traffic law enforcement, and public education. A multi-center prospective study is needed to better understand the factors influencing outcomes in pediatric TBI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".