Penetrating renal injuries: an observational study of non operative management and the impact of opening Gerota’s fascia
Bibliographic record
Abstract
Abstract Background: Non-operative management has become increasingly popular in the treatment of renal trauma. While data is robust in blunt mechanisms, the role of non-operative management in penetrating trauma is less clear. Additionally, there is a paucity of data comparing gunshot and stab wounds.Methods: A retrospective review of patients admitted to a high-volume level 1 trauma center (Groote Schuur Hospital, Cape Town) with penetrating abdominal trauma was performed. Patients with renal injuries were identified and compared based on mechanism (gunshot (GSW) versus stab) and management strategy (operative vs non operative). Primary outcomes of interest were mortality and failure of non-operative management. Secondary outcomes of interest were nephrectomy rates, Clavien-Dindo complication rate, hospital length of stay, and overall morbidity rate.Results: A total of 150 patients with renal injuries were identified (82 GSW, 68 stab). Overall, 55.2% of patients required emergent/urgent laparotomy. GSWs were more likely to cause grade V injury and concurrent intra-abdominal injuries (p>0.05). The success rate of non-operative management was 91.6% (89.9% GSW, 92.8% stab, p=0.64). The absence of hematuria on point of care testing demonstrated a negative predictive value of 98.4% (95% CI=96.8%-99.2%). All but 1 patient who failed non-operative management had associated intra-abdominal injuries requiring surgical intervention. Opening of Gerota’s fascia resulted in nephrectomy in 55.6% of cases. There were no statistically significant risk factors for failure of non-operative management identified on univariate logistic regression. Conclusions: NOM of penetrating renal injuries can be safely and effectively instituted in both gunshot and stab wounds with a very low number of patients progressing to laparotomy. Most patients fail NOM for associated injuries. During laparotomy, the opening of Gerota’s fascia may lead to increased risk of nephrectomy. Ongoing study with larger populations is required to develop effective predictive models of patients who will fail NOM.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".