Non-Neurological Outcomes after Complete Traumatic Spinal Cord Injury: The Impact of Surgical Timing
Bibliographic record
Abstract
It remains unclear whether the benefits of early surgical timing are significant in neurologically complete spinal cord injury (SCI). We wanted to compare the effects of early and late surgical timing on non-neurological outcomes in persons with traumatic complete SCI. All cases of traumatic complete SCI referred to a single institution between 2000 and 2011 were retrospectively reviewed. The occurrence of pneumonia, urinary tract infection (UTI), pressure ulcer (PU), and all other postoperative complications were recorded. Cost of acute hospitalization was calculated for each patient based on administrative data. Patients operated on within 24 h of the trauma were compared with patients operated on later than 24 h after the trauma. The effects of surgical timing on complication rate and cost of hospitalization were adjusted for potential confounding variables using multiple regression analyses. Fifty-five patients were operated on ≤ 24 h from injury and 142 were operated on >24 h from injury. Baseline demographic and clinical variables were comparable between the two groups. Pneumonia, UTI, and the presence of any complications were significantly higher in the group operated on >24 h post-trauma. Cost of hospitalization was higher among patients operated >24h post-trauma (≤ 24 h: 22,828$ vs. >24 h: 29,714$). Surgical timing >24 h was a predictor of pneumonia, UTI, total complications. and higher cost of hospitalization after controlling for other confounding variables. This study shows that surgical decompression and stabilization ≤ 24 h following a complete SCI may be a cost-effective strategy to reduce the postoperative complication rate.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 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".