Fulminant Emphysematous Pancreatitis: Diagnosis Time Counts
Bibliographic record
Abstract
Emphysematous pancreatitis (EP), a severe form of necrotizing infection of the pancreas, is an extremely rare medical emergency with high rates of mortality. It is characterized by intraparenchymal pancreatic or peri-pancreatic air due to either monomicrobial or polymicrobial infection with gas-forming bacteria or due to entero-pancreatic fistula. EP is classified according to timing from disease onset when air bubble signs were detected on computed tomography (CT) scan, as early onset (within 2 weeks from disease onset) or late (more than 2 weeks from disease onset). While most cases of acute pancreatitis are resolved with supportive care alone, clinical outcomes of EP, especially the early onset subtype, are very poor with high rates of morbidity and mortality. These two case reports present the clinical features, diagnostic investigations, and management of two patients admitted to our hospital with early onset fulminant EP, each investigated and managed with different approaches. The first patient underwent a more conservative treatment, with diagnosis being made 52 h following admission, and thus, intensive care unit (ICU) admission and surgery were postponed, while the second patient was diagnosed a few hours following presentation with earlier ICU admission. In this article, we will present the critical importance of early diagnosis of the aforementioned rare entity of severe pancreatitis and will consider the consequences of rapid diagnosis on disease course, morbidity and mortality.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".