Pyoderma gangrenosum secondary to azacitidine in myelodysplastic syndrome
Bibliographic record
Abstract
A 66-year-old female was diagnosed with myelodysplastic syndrome (MDS), specifically refractory cytopenia with multilineage dysplasia. Her bone marrow demonstrated 3% blasts with a complex karyotype and she had transfusion-dependent anaemia and thrombocytopenia. She was started on azacitidine for very high-risk MDS, as determined by her Revised International Prognostic Scoring System score. The first cycle of azacitidine was well tolerated. Three days into her second cycle, multiple erythematous, painful pustular plaques with a violaceous border and central haemorrhagic crusting appeared on her lips, inner nose and upper arms (top). Empirical ciprofloxacin and clindamycin had no clinical benefit and the lesions then progressed to involve her forearms, with three dominant lesions 3–4 cm in diameter. A skin biopsy demonstrated a neutrophilic infiltrate with marked acute inflammation and reactive changes (bottom); microbiological studies were negative. The clinical and pathological presentation was in keeping with pyoderma gangrenosum (PG). She was treated with prednisone and colchicine, and the azacitidine was withheld for 2 months with subsequent healing of the lesions. The forearm lesions recurred when re-challenged with azacitidine, but promptly responded to a second course of prednisone. Neutrophilic dermatoses, including Sweet syndrome and PG, are uncommon but well-documented dermatological sequalae of MDS. However, given the recurrence of skin lesions with therapy, the clinical and pathological picture was most in keeping with PG secondary to azacitidine, rather than to the underlying disease. PG in MDS has also been linked to the administration of granulocyte colony-stimulating factor. While our patient's skin lesions were controlled with concurrent colchicine and corticosteroids, her MDS did not improve with azacitidine and as a result, this drug was stopped after five cycles.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".