Epidemiology, clinical characteristics and outcomes of head injured patients in an Ethiopian emergency centre
Bibliographic record
Abstract
INTRODUCTION: Head injury is a leading cause of mortality in Africa. We characterise the epidemiology and outcomes of head injury at an Ethiopian emergency centre. METHODS: We conducted a prospective cohort study of all head injured patients presenting to the Emergency Centre of Tikur Anbessa Specialised Hospital, Addis Ababa. Data was collected via a standardised form from the patient's chart, radiology reports and operative reports. Patients were followed until discharge, facility transfer, death, or 7 days in hospital. Consent was obtained from the patient or substitute decision maker. RESULTS: Among 204 head injured patients enrolled, the majority were <30 years old (51.0%) and male (86.8%). Forty-one percent of injuries occurred from road traffic accidents (RTAs). A significant number of patients had at least one indicator of severe injury on presentation: 51 (25.0%) had a GCS < 9, 53 (26.0%) had multi-system trauma, 95 (46.6%) had ≥1 abnormal vital sign and of the 133 patients with data available, 37 (27.8%) had a Revised Trauma Score (RTS) < 6. Patients injured by RTA were more likely to have indicators of severe injury than other mechanisms, including multi-system trauma (OR 3.2, 95% CI 1.7-6.2, p = 0.00), GCS < 9 (OR 3.7, 95% CI 1.8-7.4, p = 0.00), ≥1 abnormal vital sign (OR 2.5, 95% CI 1.4-4.6, p = 0.00) or an RTS score < 6 (OR 3.6, 95% CI 1.6-8.1, p = 0.00). Overall, 149 (73.0%) patients were discharged from hospital, 34 (16.7%) were transferred to another hospital, and 21 patients died (10.3%). In multivariable analysis, death was significantly associated with age over 60 years (aOR 68.8, 95% CI 2.0-2329.0, p = 0.02), GCS < 9 (aOR 14.8, 95% CI 2.2-99.5, p = 0.01), fixed bilateral pupils (aOR 39.1, 95% CI 4.2-362.8, p < 0.01) and hypoxia (oxygen saturation <90%; aOR 14.2%, 95% CI 2.6-123.9, p = 0.01). CONCLUSION: Head injury represents a significant risk for morbidity and mortality in Ethiopia, of which RTA's increase injury severity. Targeted approaches to improving care of the injured may improve outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".