Liver trauma in the intensive care unit
Bibliographic record
Abstract
PURPOSE OF REVIEW: To review the surgical and critical care management of liver trauma; one of the most common abdominal injuries sustained due to its size and location. RECENT FINDINGS: Hepatic injuries range from negligible to life threatening: in the acute phase, the most common cause of morbidity and mortality is hemorrhage; however, severe traumatic hepatic injuries can also lead to biochemical abnormalities, altered coagulation, and ultimately liver failure. This brief review will review the classification of traumatic liver injuries by mechanism, grade, and severity. Most Grades I-III injuries can be managed nonoperatively, whereas the majority of Grades IV-VI injuries require operative management. Therapeutic strategies for traumatic liver injury including nonoperative, operative, radiologic will be described. The primary goal of liver trauma management in the acute setting is hemorrhage control, then the management of secondary factors such as bile leaks. The rapid restoration of homeostasis may prevent further damage to the liver and allow for deferred nonoperative management, which has been shown to be associated with good clinical outcomes. SUMMARY: A multidisciplinary approach to the care of these patients at an experienced liver surgery center is warranted.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".