Surgical Management of Levamisole-Adulterated Cocaine Induced Soft Tissue Necrosis
Bibliographic record
Abstract
Levamisole is an increasingly common cocaine adulterant that can cause severe and rapid onset cutaneous vasculitis in humans. While most cases may be managed conservatively, we describe a series of patients in whom the extent of skin and soft tissue necrosis mandated surgical intervention. A retrospective review of all patients admitted to one of two regional burn centers between 2006 and 2016 for soft tissue necrosis after exposure to levamisole-adulterated cocaine was included in our study. Ten patients, majority female (9/10) with an average age of 43.4 years (range 31-57), were included. Cocaine usage before presentation averaged 6 days (range 1-14). Presenting complaints consisted of arthralgia (5/10), fever (7/10), and purpuric lesions (10/10). Average TBSA involvement was 23.5% (range 4-70). Immunological testing revealed perinuclear antineutrophil cytoplasmic antibody (pANCA+) in 8 of 10 and cytoplasmic antineutrophil cytoplasmic antibody (cANCA+) in 4 of 8 patients. Operative intervention occurred by postadmission day 11.6 (range 3-30). The mean number of operations required was 3 (range 2-6); length of stay averaged 46.8 days (range 14-120); and survival to discharge was 100% (10/10). To our knowledge, this is the largest case study detailing the surgical management of levamisole-associated skin necrosis. Additionally, we describe the most extensive case of this disease process at 70% TBSA involvement. Based on our experience, we recommend waiting for purpuric rash resolution and soft tissue necrosis to be fully demarcated before fascial debridement and then staged skin grafting with allograft followed by autograft.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".