Drug-Induced Linear IgA Bullous Dermatosis Emerging After Vancomycin Discontinuation in Renal Impairment: Management Amid Serious Infection
Bibliographic record
Abstract
Linear immunoglobulin A (IgA) bullous dermatosis (LABD) is a rare autoimmune blistering disease presenting with subepidermal blisters and linear IgA antibody deposition in the dermal-epidermal junction. We report a case of a 48-year-old man who was switched to vancomycin for the treatment of Clostridium bacteremia following a morbilliform eruption from piperacillin-tazobactam. Two days after stopping vancomycin, he developed tense vesicles and bullae on an erythematous base located on the upper torso and upper extremities. One day prior to the development of his eruption, he also developed an acute kidney injury (AKI). A skin biopsy demonstrated subepidermal blistering, and direct immunofluorescence of the perilesional skin revealed linear IgA positivity at the dermal-epidermal junction, confirming the diagnosis of LABD. Serum vancomycin levels were drawn, revealing peaked levels one day after cessation, likely secondary to a developing AKI impairing excretion and contributing to the delayed development of the eruption. He was treated with wet occlusive dressings along with a prednisone taper, and the eruption began to resolve. Typically, worsening drug eruptions prompt a review of medications currently being taken; however, this case highlights the importance of considering pharmacokinetic factors that may lead to adverse reactions even if the offending drug has been discontinued.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".