S3845 Challenges of Pyoderma Gangrenosum Diagnosis in the Dark Skin Population
Bibliographic record
Abstract
Introduction: Pyoderma gangrenosum (PG) is an autoinflammatory skin disease characterized by ulcerative lesions in soft tissue and the skin. While its etiology remains unknown, it is associated with systemic inflammatory diseases in up to 50% of cases. The estimated incidence of PG in the United States ranges from 6-20 cases per 100,000 individuals. Due to the absence of a definitive test, PG is frequently misdiagnosed or considered erroneously to have infectious or gangrenous origin. The following case report demonstrates the necessity of considering clinical presentations potentially overlooked due to racial bias and ethno-dermatological factors. Case Description/Methods: A 53-year-old African-American woman with a past medical history of ulcerative colitis (UC) who presented with an ulcer on the right lower extremity. The lesion initially appeared as a small purple macule on the lateral aspect of the right foot superior to the lateral malleolus 4 months prior to admission. The patient had discontinued mesalamine at this time due to decreased symptoms of UC. The lesion progressed to bullous formation with a silvery-blue appearance and subsequently ulcerated, producing malodorous exudate. The patient experienced significant swelling and pain in the right foot. Upon admission, the ulcer measured 7 x 6 cm and was covered with fibro-necrotic tissue exposing the underlying tendon. Surrounding tissue was tender upon palpation. A wound culture grew extended-spectrum beta-lactamases, E. coli, Proteus mirabilis, and Corynebacterium species. The patient was started on antibiotics and referred to a dermatologist for treatment. Discussion: PG is linked to an autoimmune response mediated by T-cells mainly and macrophages. Initial presentation of PG can be attributed to an infectious pathology leading the patient to undergo surgical debridement. While damaged tissues can foster an infection, the mainstay of management should be a shock dose of topical or systemic immunosuppressants. Dermatological conditions in people with darker skin tones are underrepresented in medical education and research, which negatively influences the diagnostic ability of healthcare providers and health outcomes of patients. Improved awareness in those with darker skin tones and a methodical approach to diagnosis are crucial for timely and effective management. This case underscores the importance of considering PG in the differential diagnosis of ulcerative skin lesions and adapting diagnostic strategies to account for skin type (see Figure 1).Figure 1.: Patient Self-documentation of Pyoderma Gangrenosum Progression.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".