Acute Generalized Exanthematous Pustulosis Induced by Hydroxychloroquine: First Case Report in Canada and Review of the Literature
Bibliographic record
Abstract
BACKGROUND: Acute generalized exanthematous pustulosis (AGEP) is a rare drug eruption presenting with an acute, extensive formation of nonfollicular sterile pustules on an erythematous and edematous base. Typically, the rash is accompanied by fever and leukocytosis, with spontaneous resolution in < 15 days. The incidence of AGEP is estimated at one to five cases per million people per year. Only 18% of these are from nonantibiotics. Hydroxychloroquine (HCQ) is an antimalarial agent that is also used to treat various dermatologic and rheumatologic conditions. OBJECTIVE: We report the first observation in Canada of a patient with AGEP induced by HCQ. METHODS AND RESULTS: AGEP was diagnosed in a 48-year-old female who had been taking HCQ for 2 weeks and then developed a diffuse erythematous and edematous pustular eruption. Clinical and pathologic findings were consistent with a diagnosis of AGEP. The patient was treated with steroids and supportive measures. The rash resolved after 18 days and a complicated course in hospital. CONCLUSION: AGEP is a rare drug eruption, usually to antibiotics. We report the first case in Canada of AGEP as an adverse reaction to HCQ. Clinicians should keep in mind the possibility of this severe skin eruption.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".