Spinal cord injury in severely injured patients: results from the Swiss Trauma Registry
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Traumatic spinal cord injuries (SCIs) in the context of severe trauma are rare, and patient demographics are infrequently reported. This study aimed to assess patient demographics in acute traumatic SCI in the context of severe injuries in Switzerland and to evaluate differences in demographics and outcomes stratified by timing of surgery. METHODS: We analyzed data from the Swiss Trauma Registry (STR) from 2015 to 2024. The STR includes patients with major trauma (injury severity score [ISS] ≥ 16 and/or abbreviated injury scale [AIS] head ≥ 3) admitted to any level-one trauma centre in Switzerland. We evaluated patient characteristics, complications, and hospital outcomes, which were further stratified by early (< 24 h) and late (≥ 24 h) surgery. RESULTS: Among 24,328 patients, 6,819 (28%) sustained spinal injuries, and 383 (1.6%) had a concurrent SCI with an incidence of 0.44 cases per 100’000 inhabitants. The median age was 52 years (IQR 31–70) and 73.6% were male. The primary causes were falls (63.1%) and road traffic accidents (29.6%). The in-hospital mortality rate was 4.7%. Late surgery patients more often had concomitant moderate or severe traumatic brain injuries (31% vs. 14%, p = 0.009) and were more likely to have no fractures or dislocations of the spine (22.8% versus 6.8%, p = 0.001). Patients who underwent early surgery had shorter hospital stays (9d [5-16], versus 16 d [9-24]; F = 13.92, p < 0.001). Late surgery was associated with a higher likelihood of developing two and more complications (OR 2.57, 95% CI 1.18–5.63, p = 0.018), including urinary tract infections (OR 12.13, 95% CI 2.76–53.41, p = 0.001) and multiple organ failure (OR 12.99, 95% CI 1.64-102.83, p = 0.015). CONCLUSIONS: This study offers insights into the characteristics and outcomes of acute SCI care in severely injured patients. Despite its low incidence, the acute management of this patient population remains highly challenging. Our findings suggest early stabilization of spinal injuries in severely injured patients may reduce hospital stays and complications.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".