REALITI-A Study: Real-World Oral Corticosteroid-Sparing Effect of Mepolizumab in Severe Asthma
Bibliographic record
Abstract
BACKGROUND: Patients with severe asthma may require maintenance oral corticosteroids (mOCS) for disease control as well as systemic corticosteroid (SCS) bursts for clinically significant exacerbations. However, mOCS and SCS use are associated with adverse effects, which increases patient disease burden. OBJECTIVE: To assess the real-world corticosteroid-sparing effect of mepolizumab in patients with severe asthma. METHODS: REALITI-A was a 24-month international, prospective, observational cohort study involving 84 centers across Europe, Canada, and the United States, with a 1-year pre-post mepolizumab treatment preplanned interim analysis. A total of 822 adults with a clinical diagnosis of asthma and a physician decision to initiate mepolizumab treatment (100 mg subcutaneously) were included. End points included daily mOCS dose at baseline (penultimate 28 days of pretreatment) and 1 year after treatment; percent reduction from baseline in mOCS dose; patients discontinuing mOCS 1 year after treatment; and the rate of clinically significant exacerbations (those requiring OCS for 3 days or more [or parenteral administration], emergency room visit, and/or hospital admission) before and after treatment. RESULTS: A total of 319 patients received mOCS at baseline (median [interquartile range]: 10.0 [5.0-15.0] mg/d). At 1 year after treatment, median mOCS dose was reduced by 75% (2.5 [0.0-5.0] mg/d); 64% of patients had a reduction in mOCS dose of 50% or greater compared with baseline and 43% discontinued mOCS. Clinically significant exacerbations decreased between pretreatment and posttreatment (rate ratio [95% confidence interval] 0.29 [0.26-0.32]; P < .001). CONCLUSION: This 1-year analysis demonstrates that real-world mepolizumab treatment is clinically effective in patients with severe asthma, providing disease control while reducing the need for mOCS and SCS bursts.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".