Pyoderma Gangrenosum After Insertion of a Hemodialysis Catheter: Koebner Phenomenon, Systemic Inflammatory Response Syndrome, and a Delay in Diagnosis
Bibliographic record
Abstract
Rationale: Pyoderma gangrenosum is a rare neutrophilic dermatosis. Misdiagnosis of pyoderma gangrenosum as an infection is not uncommon. Pyoderma gangrenosum can be associated with Koebner phenomenon and rarely results in systemic inflammatory response syndrome and shock. Presenting concerns of the patient: A 61-year-old woman had recently started maintenance hemodialysis, using a tunneled catheter. She was admitted with fever and signs of inflammation at the catheter exit site and along the tunnel. Diagnoses: The initial diagnosis was catheter-related tunnel infection. The exit site broke down into a 5 cm × 5 cm lesion typical of pyoderma, and a new similar lesion developed at a subcutaneous injection site in her abdomen. Clinical diagnosis of pyoderma gangrenosum was made. She remained febrile despite broad antibiotic coverage and catheter removal and developed systemic inflammatory response syndrome (SIRS) that necessitated transfer to intensive care unit. Interventions: She responded well to fluids and intravenous steroids. Viral and bacterial cultures were negative throughout; echocardiography and computed tomography were unrevealing. Insertion of a new hemodialysis catheter was deferred as long as clinically possible, was undertaken while the patient was taking steroids, and was uncomplicated. Outcomes: She remained hemodynamically stable and was discharged after rehabilitation. Her wounds slowly granulated and healed. Steroids were tapered. Teaching points: To our knowledge, this is the first case report of a patient with pyoderma gangrenosum developing at the site of tunneled hemodialysis catheter. Our patient developed SIRS with no evidence of infection. We summarize 11 previous case reports of pyoderma leading to SIRS and responsive to steroids.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".