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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".