Ligelizumab improves angioedema, disease severity and quality-of-life in patients with chronic spontaneous urticaria
Bibliographic record
Abstract
Background: -antihistamines need new treatment options. Here we report an exploratory analysis, from the ligelizumab Phase 2b study, investigating angioedema occurrence in patients with CSU and describe the changes in angioedema following treatment with ligelizumab, omalizumab, or placebo. Methods: Data from the ligelizumab Phase 2b core (ligelizumab 72 mg, 240 mg, omalizumab 300 mg and placebo) and extension study (ligelizumab 240 mg) were used. Changes in Weekly Angioedema Activity Score (AAS7), the Dermatology Life Quality Index (DLQI), and Weekly Urticaria Activity Score (UAS7) among each time point were analyzed for each treatment arm. Results: From a total of 297 patients analyzed, 165 (55.6%) reported angioedema occurrence at baseline, with mean AAS7 ranging 30.6-42.2 across treatment arms. At Week 12 of the core study 87.5%, 84.6%, 75.0%, and 61.0% of patients were angioedema free for ligelizumab 72 mg, 240 mg, omalizumab 300 mg, and placebo arms, respectively. In CSU patients with angioedema at baseline, the largest change from baseline in AAS7 score was observed with ligelizumab 72 mg (-31.9) at week 16 in the core study. Patients with angioedema had a higher mean DLQI at baseline (14.9-16.1) vs. patients without angioedema (10.6-12.0). In patients with angioedema, low AAS7 was significantly associated with complete response on UAS7 (UAS7 = 0) and complete normalization of DLQI (DLQI 0-1). Conclusion: In the Phase 2b study, ligelizumab effectively reduced angioedema and urticaria symptoms, and improve health related quality of life in patients with moderate-to-severe CSU. Clinicaltrailsgov NCT number: NCT02477332; NCT02649218.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".