Management of Open Abdomen After Trauma Laparotomy: A Comparative Analysis of Dynamic Fascial Traction and Negative Pressure Wound Therapy Systems
Bibliographic record
Abstract
BACKGROUND: Management of the post-traumatic open abdomen (OA) using negative pressure wound therapy (NPWT) alone is associated with low rates of primary fascial closure. The abdominal reapproximation anchor (ABRA) system exerts dynamic medial fascial traction and may work synergistically with NPWT to facilitate primary fascial closure. METHODS: Patients with an OA following trauma laparotomy between 2009 and 2018 were identified from a prospectively maintained institutional database. Patients treated with ABRA in conjunction with NPWT (ABRA) versus NPWT alone (NPWT) were compared in terms of primary fascial closure rate, number of surgeries to closure, tracheostomy duration, length of stay and incidence of entero-atmospheric fistula. Multivariable linear regression was performed to identify predictors of tracheostomy duration. RESULTS: We identified 48 patients [ABRA, 12 and NPWT, 36]. The ABRA group was significantly younger (25 vs. 37 years, p = 0.027) and included a lower proportion of males (58% vs. 89%, p = 0.032). Groups were similar with respect to the incidence of hollow viscus injury, injury severity score and abdominal abbreviated injury score. Compared to the NPWT group, the ABRA group had a significantly higher rate of primary fascial closure (100% vs. 28%, p < 0.001), fewer surgeries to abdominal closure (2 vs. 2.5, p = 0.023) and shorter duration of tracheostomy (15.5 vs. 36 days, p = 0.008). There were no differences in length of stay or incidence of entero-atmospheric fistula. On multivariable linear regression, ABRA placement was an independent predictor of shorter tracheostomy duration, after adjusting for covariates (β = - 0.294, p = 0.036). CONCLUSION: For the post-traumatic OA, ABRA coupled with NPWT achieves a higher rate of primary fascial closure compared to NPWT alone, while requiring fewer surgeries and a shorter duration of tracheostomy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".