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P199 Mepolizumab improves and sustains asthma control and lung function in patients with severe asthma independent of baseline blood eosinophil count in the real world: results from REALITI-A at 2 years

2025· article· W4416134429 on OpenAlexaff
Giorgio Walter Canonica, M. C. Liu, Charles Pilette, Jong‐Koo Lee, R. Chaudhuri, Stephen Jay Gould, Lingjiao Zhang, R Alfonso-Cristancho, Peter A. Howarth

Bibliographic record

Venuenot available
Typearticle
Language
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsAllerGen
Fundersnot available
KeywordsMepolizumabEosinophilLung functionAsthmaBaseline (sea)Pulmonary function testing

Abstract

fetched live from OpenAlex

Introduction and Objectives Preliminary 1-year analyses from the real-world REALITI-A study demonstrated mepolizumab improvements in asthma control and lung function, a key outcome measurement, with mepolizumab treatment across blood eosinophil count (BEC) levels, in patients with severe asthma. However, additional real-world evidence on the sustained effect of mepolizumab across BEC ranges is required. Methods REALITI-A was a 2-year, international, observational, prospective, single-arm study enrolling patients (≥18 years) with severe asthma, newly prescribed mepolizumab (100 mg subcutaneously). Changes from baseline in asthma control (Asthma Control Questionnaire-5 [ACQ-5] scores, minimal clinically important difference: 0.5) and lung function (forced expiratory volume in 1 second [FEV1]) were assessed for baseline BEC subgroups (<150, ≥150−<300, ≥300−<500, ≥500 cells/µL) at 1-year and 2-years post-mepolizumab exposure. Results 822 treated patients were included. ACQ-5 scores decreased from baseline to 2-years post-mepolizumab exposure across all BEC subgroups (figure 1; mean change from baseline [95% CI]: <150 cells/µL, -1.40 [-3.27, 0.47]; ≥150−<300 cells/µL, -1.76 [-2.34, -1.19]; ≥300−<500 cells/µL, -1.74 [-2.15, -1.33]; ≥500 cells/µL, -1.88 [-2.23, -1.53]). Improvements in ACQ-5 were sustained from 1-year post-exposure reductions (mean change from baseline at 1-year [95% CI]: -1.06 [-1.68, -0.44]; -1.19 [-1.81, -0.57]; -1.37 [-1.84, -0.90]; -1.65 [-2.01, -1.28], respectively). Lung function (FEV1) improved from baseline to Month 21–24 post-mepolizumab exposure for the BEC ≥300 cells/µL subgroups (figure 1; mean change from baseline [95% CI]: ≥300−<500 cells/µL, 261.5 [111.1, 411.9]) and ≥500 cells/µL, 275.6 [160.5, 390.6]), sustained from changes in FEV1 at Month 9–12 post-exposure (mean change from baseline [95% CI]: 130.1 [-3.4, -263.7] and 239.4 [141.7, 337.2], respectively). Improvements in lung function were less consistent in the BEC groups <300 cells/µL. Conclusions This analysis confirms treatment with mepolizumab in a real-life setting improves asthma control independent of baseline BEC, while lung function shows greater improvement with increased BEC; improvements observed at 1 year are maintained at 2 years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.003
GPT teacher head0.221
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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