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Record W4415027293 · doi:10.1159/000548207

Successful Treatment of Refractory Dermatomyositis with Deucravacitinib (Sotyktu): A Case Report

2025· article· en· W4415027293 on OpenAlexaff
Tatiana Lapa, Maksym Breslavets

Bibliographic record

VenueCase Reports in Dermatology · 2025
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRefractory (planetary science)PathogenesisDermatomyositisMEDLINEInflammation

Abstract

fetched live from OpenAlex

Introduction: Clinically amyopathic dermatomyositis (CADM) is a subtype of dermatomyositis (DM) characterized by cutaneous findings without clinically apparent muscle involvement. While immunosuppressive therapies such as methotrexate, mycophenolate mofetil, and hydroxychloroquine are commonly used, treatment-resistant cases remain a challenge. We present a case of refractory CADM successfully treated with deucravacitinib, a selective TYK2 inhibitor. Case Presentation: A 50-year-old woman with a 3-year history of CADM presented with persistent facial erythema, heliotrope rash, violaceous erythema on sun-exposed areas, and Gottron's sign. Despite multiple systemic treatments, including methotrexate, mycophenolate mofetil, hydroxychloroquine, and topical and oral roflumilast, she continued to experience skin involvement and associated pain. Deucravacitinib 6 mg daily was initiated, leading to near-complete resolution of cutaneous lesions and complete resolution of pain within 10 weeks. At 6 months, her response remained stable, and she continues treatment with ongoing monitoring. Conclusion: This case highlights deucravacitinib as a potential treatment option for refractory CADM. By selectively inhibiting TYK2, it targets key inflammatory pathways involved in DM pathogenesis while minimizing off-target effects. Further studies are needed to evaluate its long-term safety and efficacy in this patient population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.285
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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