Phlegmonous gastritis complicated by abdominal compartment syndrome: a case report
Bibliographic record
Abstract
BACKGROUND: Phlegmonous gastritis (PG) is a rare, suppurative bacterial infection of the gastric wall, which may rapidly evolve into fatal septicemia. The etiology and pathogenesis are poorly understood; however, multiple risk factors have been cited in current literature. Most cases have been diagnosed at autopsy, and occasionally at laparotomy, as the clinical presentation is often variable. CASE PRESENTATION: We report a case of a 67-year-old male presenting with intractable nausea, vomiting, and epigastric pain following an uneventful upper gastrointestinal (GI) endoscopy. Diagnostic workup including contrast tomography (CT) and endoscopic assessment was in keeping with PG. This was subsequently followed by development of abdominal compartment syndrome (ACS) and clinical deterioration necessitating surgical resection of the stomach. CONCLUSION: This case emphasizes the importance of early diagnosis of this potentially fatal infection that can follow endoscopic procedures and illustrates ACS and septic shock as serious complications. There is currently no consensus on the proper management of PG; however, in this case, a combination of surgery and antibiotics provided a favourable outcome. Limited number of cases of PG have been reported in literature, and to our knowledge, this is the first reported case of PG with subsequent ACS as an acute complication.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| 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".