Contemporary management of renal trauma in Canada: A 10-year experience at a level 1 trauma centre
Bibliographic record
Abstract
INTRODUCTION: Contemporary Canadian renal trauma data is lacking. Our objective is to describe 10-year outcomes of renal trauma at a Canadian level 1 trauma centre using a conservative approach. METHODS: The Alberta Trauma Registry at the University of Alberta was used to identify renal trauma patients from October 2004 to December 2014. Hospital records and imaging were reviewed to identify clinic-radiographical factors, including patient age, gender, Injury Severity Score (ISS), American Association of the Surgery for Trauma (AAST) grade, computerized tomography (CT) findings, urological interventions, length of stay, transfusion and death rates. Descriptive statistics, Chi-square, and t-tests were used when appropriate. RESULTS: A total of 368 renal trauma patients were identified. Mechanism of injury was blunt trauma in 89.1% of cases, mean age was 36.2 years, and mean ISS was 30.8 (±13.6). AAST grade distribution was 16.6% (Grade 1), 22.8% (Grade 2), 36.4% (Grade 3), 20.9% (Grade 4), and 3.3% (Grade 5). Overall, 9.5% (35) of patients required urological intervention for a total of 40 treatments, including ureteral stenting (3.0%), angioembolization (3.3%), percutaneous drainage (0.3%), or open intervention including nephrectomy (2.4%) and renorrhaphy (0.5%). No Grade 1 or 2 injuries required intervention, while 1.5%, 31.2%, and 75.0% of Grade 3, 4, and 5 injuries did, respectively. The overall renal salvage rate was 97.6%, which did not differ by mechanism of injury (p=0.25). Patients with penetrating trauma were more likely to require urological intervention (20.0% vs. 8.2%; p=0.04). Of the high-grade (III-V) renal injuries identified, 15.7% (35/223) required urological intervention, 4.9% (11) required open surgical intervention, and only 4.0% (9) of patients with high-grade renal injury required nephrectomy. CONCLUSIONS: The trend towards conservative treatment of renal trauma in Canada appears well-supported even in a severely injured patient population, as over 90% of patients avoid urological intervention and only 3% require operative intervention resulting in renal salvage rates of 97.6%.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".