Successful induction treatment of bullous pemphigoid using reslizumab: a case report
Bibliographic record
Abstract
BACKGROUND: Bullous pemphigoid (BP) is a potentially life-threatening autoimmune blistering disease which is characterized by autoantibodies against hemidesmosomal proteins of the skin and mucous membranes. In recent years, the role of eosinophil and immunoglobulin E autoantibodies have been further elucidated in BP, and have been considered potential therapeutic targets. CASE PRESENTATIONS: A 67-year-old male presented with erythematous bullous eruption. The skin eruption was located on whole body, and suggested BP. Peripheral blood eosinophil count and total immunoglobulin E markedly elevated in initial laboratory findings. Topical and systemic steroid (methylprednisolone 2 mg/kg/day) treatment was started, and his skin symptoms worsened repeatedly, whenever systemic steroid were reduced. On admission day 29, reslizumab (anti-interleukin-5) 3.5 mg/kg was administered intravenously to the patients. The bullous skin lesion began to improve rapidly, and methylprednisolone (8 mg/day) was reduced without any worsening of symptoms during two doses of reslizumab. CONCLUSIONS: We report a case of successful treatment response to reslizumab administration in a patient with BP. Further studies are needed to confirm the role of anti-interleukin-5 as a treatment for BP in the future.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.004 |
| 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".