Bowel obstructions and incisional hernias following trauma laparotomy and the nonoperative therapy of solid organ injuries
Bibliographic record
Abstract
BACKGROUND: Small bowel obstruction (SBO) and incisional hernia (IH) represent the most common long-term complications of laparotomy. They may also be more common among injured patients than for elective/nontrauma emergency scenarios. Unfortunately, the population-based incidence of SBO and IH following trauma laparotomy is unknown. The aim of this study was to define the long-term, population-based incidence of SBO and IH following both trauma laparotomy as well as the nonoperative therapy of solid organ injuries. METHODS: All injured patients admitted to a Level 1 trauma center (2002-2013) who underwent (1) a laparotomy or nonoperative care of (2) splenic and/or (3) hepatic injuries were linked with the Alberta Health Services Discharge Database to identify all readmissions for subsequent SBO and/or IH within the province. Standard statistical methodology was used (p < 0.05). RESULTS: Of 484 patients who underwent a trauma laparotomy, 29 (6%) and 42 (9%) required readmission for SBO and IH, respectively (0.13 SBO and 0.10 IH admissions per patient year). Patients who underwent nonoperative management of their liver and/or spleen injuries displayed long-term SBO rates of 1% (6 of 619) and 0.7% (4 of 606), respectively. The rate of SBO and IH in patients with unnecessary laparotomies was equivalent to therapeutic procedures (p = 0.183). Topical hemostatic agents, repeat laparotomies, and injury pattern did not alter SBO or IH rates (p > 0.05). CONCLUSION: The population-based, long-term rate of clinically relevant SBO and IH following trauma laparotomies is 15%. This increases to 19% on a per-admission basis. Nontherapeutic scenarios, injury pattern, topical hemostatics, and open abdomens did not alter complication rates. LEVEL OF EVIDENCE: Therapeutic study, level IV.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".