Refractory Peritonitis and Small Bowel Ileus: A Case of Encapsulating Peritoneal Sclerosis Secondary to Mycobacterium abscessus Peritonitis
Bibliographic record
Abstract
Introduction: Complications of peritoneal dialysis (PD) such as exit-site infections and PD peritonitis are common reasons for admission to General Internal Medicine wards. Culprit organisms range from typical skin flora to rarer complicated atypical organisms such as non-tuberculous mycobacteria. Encapsulating peritoneal sclerosis (EPS) is a rarer complication of PD characterized by peritoneal inflammation, ileus and fibrosis with high morbidity, few management options, and poor prognosis. Case Description: peritonitis has not previously been described. Discussion and Conclusion: This report describes the diagnostic process and treatment offered to this patient and his treatment outcomes over 8 months. It highlights the importance of prompt identification of patients at risk, timely eradication of high-risk pathogens, and transition to haemodialysis to limit morbidity and improve patient prognosis. LEARNING POINTS: and other non-tuberculous mycobacterial organisms should be suspected in peritoneal dialysis patients who present with refractory peritonitis and ileus.Encapsulating peritoneal sclerosis is an inflammatory phenomenon characterized by peritoneal inflammation, fibrosis and bowel ileus in the setting of peritoneal dialysis or recurrent infectious insults with high-risk organisms. Diagnosis depends on characteristic imaging coupled with compatible clinical symptoms.Treatment involves transition to haemodialysis, infection eradication, immunosuppression and anti-hormonal treatment (e.g., tamoxifen). Despite these options, prognosis remains very poor.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".