Peritonitis as the First Presentation of Disseminated Listeriosis in a Patient on Peritoneal Dialysis—a Case Report
Bibliographic record
Abstract
Infections with Listeria monocytogenes are uncommon but serious, with mortality rate approaching 30% in cases of systemic involvement despite first-line therapy. They are usually caused by ingestion of contaminated foods, but spontaneous infections have also been described. Listeria monocytogenes is a rare cause of peritonitis, and most of the published cases are in patients with cirrhosis and ascites. There are a few reported cases of Listeria peritonitis associated with peritoneal dialysis (PD), primarily isolated peritonitis. If detected early, Listeria peritonitis can be successfully treated with ampicillin, alone or in combination with gentamicin. Vancomycin has been listed as a second-line agent. However, it has been associated with treatment failure. In this case report, we present a patient who developed disseminated listeriosis, with peritonitis as the first manifestation of disseminated infection. This case illustrates the importance of having a high index of suspicion for L. monocytogenes if patients deteriorate despite empiric therapy for PD-associated peritonitis and serves as a further example demonstrating the inadequate coverage of vancomycin for L. monocytogenes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".