Management of the patient with the open abdomen
Bibliographic record
Abstract
PURPOSE OF REVIEW: The aim of this study was to outline the management of the patient with the open abdomen. RECENT FINDINGS: An open abdomen approach is used after damage control laparotomy, to decrease risk for postsurgery intra-abdominal hypertension, if reoperation is likely and after primary abdominal decompression.Temporary abdominal wall closure without negative pressure is associated with higher rates of intra-abdominal infection and evisceration. Negative pressure systems improve fascial closure rates but increase fistula formation. Definitive abdominal wall closure should be considered once oedema has subsided and the patient has stabilized. Delayed abdominal closure after trauma (>24-48 h) is associated with less achievement of fascial closure and more complications. Protective lung ventilation should be employed early, particularly if respiratory compromise is evident. Conservative fluid management and less sedation may decrease delirium and increase definitive abdominal closure rates. Extubation may be performed before definitive abdominal closure in selected patients. Antibiotic therapy should be brief, targeted and guideline concordant. Survival depends on the underlying disease, the closure method and the course of hospitalization. SUMMARY: Changes in the treatment of patients with the open abdomen include negative temporary closure, conservative fluid management, early protective lung ventilation, decreased sedation and extubation before abdominal closure in selected patients.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".