Surgical intervention in pediatric trauma at a level 1 trauma hospital: a retrospective cohort study and report of cost data
Bibliographic record
Abstract
BACKGROUND: Given that the management of severely injured children requires coordinated care provided by multiple pediatric surgical subspecialties, we sought to describe the frequency and associated costs of surgical intervention among pediatric trauma patients admitted to a level 1 trauma centre in southwestern Ontario. METHODS: All pediatric (age < 18 yr) trauma patients treated at the Children's Hospital - London Health Sciences Centre (CH-LHSC) between 2002 and 2013 were included in this study. We compared patients undergoing surgical intervention with a nonsurgical group with respect to demographic characteristics and outcomes. Hospital-associated costs were calculated only for the surgical group. RESULTS: Of 784 injured children, 258 (33%) required surgery, 40% of whom underwent orthopedic interventions. These patients were older and more severely injured, and they had longer lengths of stay than their nonsurgical counterparts. There was no difference in mortality between the groups. Seventy-four surgical patients required intervention within 4 hours of admission; 45% of them required neurosurgical intervention. The median cost of hospitalization was $27 571 for the surgical group. CONCLUSION: One-third of pediatric trauma patients required surgical intervention, of whom one-third required intervention within 4 hours of arrival. Despite the associated costs, the surgical treatment of children was associated with comparable mortality to nonsurgical treatment of less severely injured patients. This study represents the most recent update to the per patient cost for surgically treated pediatric trauma patients in Ontario, Canada, and helps to highlight the multispecialty care needed for the management of injured children.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".