Reduction in work and activity impairment within 6 months of benralizumab initiation in Canadians with severe eosinophilic asthma
Bibliographic record
Abstract
Background: Nearly 8% of Canadian patients with asthma have severe disease, which is associated with significant impairment of work and daily activity. Benralizumab is an anti-IL-5Rα antibody for add-on maintenance therapy of severe eosinophilic asthma. Objective: To describe the change in work and activity impairment for patients with severe eosinophilic asthma within the first 6 months of benralizumab treatment. Methods: A prospective observational study (NCT03833141; POWER) was performed in 23 clinics across Canada from 2019 to current. Included patients had blood eosinophils ≥300c/µL, Asthma Control Questionnaire (ACQ-6) score ≥1.5, and were benralizumab naïve. Work and activity impairment was measured with the Work Productivity and Activity Impairment Questionnaire (WPAI), at baseline and 6 months. Results: Approximately 40% (n=56 of 102) and 35% (n=26 of 77) of patients reported employment at baseline and week 24, respectively. At baseline, impairment at work and daily activity ranged from 24% (absenteeism) to 65% (overall activities of daily life). Six months after treatment initiation, patient-reported impairment ranged from 2% (absenteeism) to 32% (overall activities); Figure 1. Conclusion: Throughout the first 6 months of treatment with benralizumab, patients reported a meaningful reduction of asthma-related impairment at work and during their activity of daily life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".