Bibliographic record
Abstract
OBJECTIVE: Cocaine is known to cause thrombotic complications. Its use has also been associated with a variety of rheumatologic manifestations, most notably cutaneous vasculopathy. We report clinical features and laboratory findings of cocaine-related cutaneous vasculopathy. METHODS: Here we describe 8 patients with cocaine-related cutaneous vasculopathy. RESULTS: Our patients most commonly presented with purpuric lesions and ulcers with areas of skin necrosis. Extracutaneous features included fatigue and arthritis in most patients, as well as weight loss in 3 patients, pneumonia in 3, diffuse reactive lymphadenopathy in 1, and acute upper airway obstruction in 2. Laboratory abnormalities included elevated inflammatory markers and positive perinuclear antineutrophil cytoplasmic antibodies (ANCAs) in all patients, and antimyeloperoxidase antibodies in 7 of 8 patients. Cytoplasmic ANCA was positive in 5 of 8, equivocal in 2 of 8, and negative in 1 of 8 patients. Anti-proteinase 3 antibodies were found in 6 of 8 patients. Six of 8 patients had positive antinuclear antibodies and 5 of 8 had positive anti-double-stranded DNA antibodies (4 of 5 were at low titers). Two patients previously thought to have systemic lupus erythematosus had low complement levels. Lupus anticoagulant was positive in 3 of 8 and equivocal in 5 of 8. Anticardiolipin IgG was positive in 1 of 8 and IgM was positive in 6 of 8; β(2) -glycoprotein I IgM was positive in 2 of 8. Cold agglutinins were strongly positive in 6 of 6 patients in whom they were measured. Skin disease improved in 3 patients who appeared to have stopped using cocaine. It was chronic and progressive in 4 patients who continued to use cocaine, 2 of whom died presumably due to multidrug overdose. CONCLUSION: This report outlines clinical features and distinctive laboratory findings that, when present in the right clinical setting, should prompt consideration of cocaine-related cutaneous vasculopathy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".