Features and outcomes of patients with grade IV renal injury
Bibliographic record
Abstract
OBJECTIVE: To evaluate the clinical features and outcomes of patients who presented with grade IV renal trauma to our urban level I trauma hospital and to further refine the absolute indications for exploration and determine the outcomes of conservative management. PATIENTS AND METHODS: In all, 77 patients with grade IV traumatic renal injuries presented to our emergency department between October 1997 and October 2006. A prospective trauma database including these patients was analysed to determine the patterns of injury, operative outcomes and complications. RESULTS: A quarter of the patients had gunshot injuries, 9% had stab injuries, and 66% had blunt traumas. In all, 36% of patients required surgical exploration to treat associated non-urological injuries. There was no or microscopic haematuria in 29% of the patients. Of the 32 patients who underwent renal exploration, 63% (20/32) underwent renorrhaphy and 37% (12/32) underwent nephrectomy. In multivariate analyses, only gunshot injury, surgery for non-urological injury, and volume of blood transfused were significantly associated with the need for renal exploration (P = 0.015, P = 0.041, and P = 0.032, respectively). The renal complication rate was higher in patients managed conservatively vs those who underwent surgical exploration, but this was not statistically significantly different (28% vs 13%, P = 0.2). Hospital stay was longer after renal exploration than after conservative management at a median of 12 days vs 7 days (P = 0.01). CONCLUSIONS: While almost all patients with penetrating injury require renal exploration, only 20% of those with blunt trauma do. Patients with no renal injuries and/or haemodynamic instability are more likely to require exploration. Finally, the rate of complications was not statistically different according to management type (conservative vs renal exploration).
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".