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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".