Real-life experiences with omalizumab for the treatment of chronic urticaria
Bibliographic record
Abstract
BACKGROUND: Evidence has shown that omalizumab, a subcutaneous anti-IgE monoclonal antibody, is highly effective for the treatment of chronic urticaria. OBJECTIVE: To evaluate omalizumab 150 mg/month in severe, difficult-to-treat, chronic urticaria in a real-life setting. METHODS: This prospective open-label study evaluated of 150 mg of omalizumab in severe urticaria defined by a 7-day urticaria activity score (UAS-7) higher than 30, a history of oral glucocorticoid use, and by suboptimal response to previous treatments. Two subgroups of patients at different centers (Toronto and Quebec City, Canada) were included. The primary efficacy evaluation was a change in UAS-7 from baseline. A quantitative medication score assessed the use of other anti-urticarial medications. RESULTS: Sixty-eight patients were included: 61 with chronic spontaneous urticaria, 6 with cold urticaria, and 1 with urticarial vasculitis. Patients were followed for up to 25 months. In Toronto, mean UAS-7 decreased from 32.2 at baseline to 5.7 after the last omalizumab treatment. Seventy-nine percent achieved complete remission during omalizumab therapy (UAS-7 0) and 6 (18%) showed improvement but never achieved complete remission. The most common maintenance dosing intervals were 1 to 3 months. In Quebec City, from baseline to 18 months, mean UAS-7 decreased from 24.4 to 2.2 and the quantitative medication score decreased from 13.3 to 3.0. All 6 patients with cold urticaria became symptom free, with a significant decrease of their cold stimulation tolerance test. CONCLUSION: Omalizumab 150 mg was effective in difficult to treat patients with severe, chronic urticaria refractory to recommended treatments who usually required prednisone. Omalizumab induced a long-lasting positive response and was well tolerated without side effects.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".