Type II acquired cutis laxa associated with recurrent urticarial vasculitis: brief report
Bibliographic record
Abstract
BACKGROUND: Cutis laxa is a connective tissue disease characterized by loose, wrinkled, and redundant skin. It is either inherited or acquired. In most cases, acquired cutis laxa is associated with neoplasms, drugs, and autoimmune diseases. We present a rare case of acquired cutis laxa following a recurrent urticaria-like eruption in the absence of an autoimmune disease, neoplasm, drugs and or syndrome. CASE PRESENTATION: We report a case of a 45-year-old Chinese lady with a 1-year history of widespread pruritic urticarial eruption and a 6-month history of progressive skin wrinkling. On examination, the patient appeared older than her actual age, with apparent wrinkling on the mid-torso with generalized smooth, erythematous macules and wheals. A family history of similar conditions was absent. Biopsy revealed hypersensitivity and atrophy. Following the Food and Drug Administration (FDA) guidelines, we administered antihistamines, which relieved the itching, but her hyperpigmentation and cutis laxa never improved. CONCLUSION: Our case shows that the decrease of elastic fibers may be associated with the infiltration of inflammatory cells in the dermis. This supports the hypothesis that chemical mediators may play a major role in the destruction of elastic fibers, thus causing cutis laxa. In addition, we advise practitioners to take a complete clinical and family history to determine if the condition is inherited or acquired.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".