Efficacy and Safety of Dupilumab in Children With Peanut Allergy: A Multicenter, Open‐Label, Phase <scp>II</scp> Study
Bibliographic record
Abstract
BACKGROUND: Peanut allergy is a potentially life-threatening food allergy in children. This study explored whether dupilumab, a human monoclonal immunoglobulin (Ig)G4 antibody that blocks the activity of interleukin (IL)-4/IL-13, improved safety and desensitization to peanut exposure in children with peanut allergy. METHODS: A Phase II, 24-week, multicenter, single-arm, open-label, proof-of-concept study was conducted in the USA and Canada (NCT03793608). Children/adolescents with peanut allergy received subcutaneous dupilumab 300 mg (≥ 60 kg) or 200 mg (≥ 20 to < 60 kg) every 2 weeks. The primary endpoint was the proportion of participants who passed a double-blind placebo-controlled food challenge (DBPCFC) with ≥ 444 mg (cumulative) of peanut protein at week 24. Secondary endpoints included safety measures (Consortium of Food Allergy Research grading system) and change from baseline in peanut-specific (ps)-IgG4, total IgE, and ps-IgE. RESULTS: Twenty-four participants enrolled and received dupilumab: 75.0% were male, 79.2% were white, mean (standard deviation) age was 11.7 (3.3) years. Most (95.8%) participants had not received allergen immunotherapy. Two participants (8.3%) achieved the primary endpoint and passed the DBPCFC at week 24. Fifteen participants (62.5%) reported 66 treatment-emergent adverse events, all being mild or in moderate intensity. At the week 24 DBPCFC, 8 participants (33.3%) had a grade 2 allergic reaction (no grade 3 or above); 10 (41.7%) used adrenaline as a rescue medication. Dupilumab treatment resulted in a median reduction of total and ps-IgE of -54% and -49%, respectively, and a 0% change in ps-IgG4. CONCLUSIONS: Dupilumab monotherapy treatment for 24 weeks did not improve desensitization to peanut exposure after food challenge.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 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".