Case Report: Upadacitinib in the management of refractory urticarial vasculitis
Bibliographic record
Abstract
Urticarial vasculitis (UV) is a rare autoimmune condition characterized by persistent urticarial lesions with underlying small vessel leukocytoclastic vasculitis. It often presents with systemic symptoms and poses therapeutic challenges, especially in refractory cases. We report the case of a 39-year-old woman who presented with recurrent episodes of widespread, painful wheals lasting more than 24 h, along with arthralgia, myalgia, blurred vision, and fatigue. Her diagnosis was confirmed by skin biopsy, and she failed multiple lines of immunosuppressive and biologic therapies, including corticosteroids, colchicine, omalizumab, dapsone, rituximab, mycophenolate mofetil, and cyclosporine. After initiating treatment with Upadacitinib 30 mg daily orally, in combination with omalizumab and dapsone, she experienced a dramatic clinical improvement within one month, with near-complete resolution of cutaneous lesions and significant relief of systemic symptoms. This case highlights the potential role of JAK inhibitors, particularly Upadacitinib, as a novel therapeutic option in managing refractory urticarial vasculitis. Further studies are needed to evaluate its long-term efficacy and safety in this context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 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".