Mepolizumab Reduces Hypereosinophilic Syndrome Flares Irrespective of Blood Eosinophil Count and Interleukin-5
Bibliographic record
Abstract
BACKGROUND: Mepolizumab, an anti-interleukin-5 (IL-5) antibody, reduces disease flares in patients with hypereosinophilic syndrome (HES). Factors predicting treatment response are unknown. OBJECTIVE: To assess mepolizumab efficacy by baseline blood eosinophil count (BEC) and serum IL-5 level in patients with HES. METHODS: This post hoc analysis used data from the phase III study assessing mepolizumab in patients with HES (NCT02836496). Patients 12 years old or older, with HES for 6 or more months, 2 or more flares in the previous year, and BEC ≥1,000 cells/μL at screening were randomized (1:1) to 4-weekly subcutaneous mepolizumab (300 mg) or placebo, plus baseline HES therapy, for 32 weeks. The proportion of patients experiencing 1 or more flares (wk 32), annualized flare rate, and proportion of patients with change from baseline in Brief Fatigue Inventory (BFI) item 3 (wk 32), were analyzed by baseline BEC (<1500/≥1500 to <2500/≥2500 cells/μL). Flare outcomes were assessed by baseline serum IL-5 (<7.81/≥7.81 pg/mL). RESULTS: Across baseline BEC subgroups, mepolizumab reduced the proportion of patients experiencing 1 or more flares by 63% to 90% and flare rate by 58% to 84% (treatment-by-eosinophil interaction P = .76 and P = .90, respectively); patients had improved BFI item 3 score with mepolizumab versus placebo (cells/μL: <1,500: 54% vs 37%; ≥1,500 to <2,500: 47% vs 31%; ≥2,500: 61% vs 0%; treatment-by-eosinophil interaction P = .42). Most patients had undetectable baseline serum IL-5 levels; among these, mepolizumab versus placebo reduced the proportion of patients with 1 or more flares (77%) and flare rate (67%). CONCLUSIONS: Mepolizumab was efficacious in the patients with HES studied, irrespective of baseline BEC. Undetectable IL-5 levels should not preclude mepolizumab 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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".