Early and Sustained Asthma Control and Remission in Real‐World Patients With Severe Eosinophilic Asthma Treated With Benralizumab: <scp>XALOC</scp> ‐2
Bibliographic record
Abstract
BACKGROUND: Prospective real-world data concerning the early and sustained effects of benralizumab on asthma control in patients with severe eosinophilic asthma (SEA) is lacking. METHODS: XALOC-2 is a prospective, observational, multi-national, real-world study in adults with SEA treated with benralizumab. This integrated analysis assessed Asthma Control Questionnaire (ACQ) scores, achievement of 3-component clinical remission (which included well-controlled symptoms [ACQ score ≤ 0.75], no exacerbations, and no use of maintenance oral corticosteroids [mOCS]), and other clinical outcomes, over a 12-month baseline period and up to Week 56. Associations between remission status and key baseline characteristics were also assessed. RESULTS: 535 patients were included. Median (interquartile range) ACQ score at baseline was 3.0 (2.2-3.8). At Week 1, 58.0% (282/486) of patients had ACQ score reductions of ≥ 0.5 points (minimal clinically important difference [MCID]) and 35.0% (170/486) had reductions of ≥ 1 point (2× MCID). By Week 56, these increased to 78.6% (276/351) and 62.1% (218/351), respectively. Improved asthma control after benralizumab initiation was similar irrespective of previous biologic use status. By Week 56, clinical remission criteria were achieved in 26.7% (70/262) of patients versus 0% (0/374) at baseline. No mOCS use, lower body mass index, better asthma symptom control and higher peak blood eosinophil count at baseline were associated with meeting 3-component clinical remission criteria at Week 56. CONCLUSIONS: Real-world patients receiving benralizumab showed early and sustained improvements in asthma symptoms, regardless of previous biologic use. More than a quarter of patients achieved clinical asthma remission after 1 year of benralizumab treatment.
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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 | 0.000 |
| 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) | 0.000 | 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".