Impact of mepolizumab on the AAV-PRO questionnaire in eosinophilic granulomatosis with polyangiitis: data from a European multicentre study
Bibliographic record
Abstract
OBJECTIVES: To prospectively evaluate the impact and the rapidity of the effect of mepolizumab on the ANCA-associated vasculitis patient-reported outcomes (AAV-PRO) questionnaire and patient global assessment (PtGA) in an international, multicentre cohort of patients with eosinophilic granulomatosis with polyangiitis (EGPA). METHODS: Patients with active EGPA initiating treatment with mepolizumab were included. PtGA and the AAV-PRO score were assessed at baseline and after 7, 14, 30, 90 and 180 days. Predictors of response of the AAV-PRO questionnaire were investigated. RESULTS: Seventy patients were included: female 54.3%, median age 56 years (48-65), 63 (90%) with a relapsing/refractory course. PtGA showed a statistically significant decrease within 7 days. At 14 days, all the AAV-PRO domains, except treatment side effects, showed a statistically significant decline. The improvement at 6 months was greatest in organ-specific symptoms (ratio 0.53), physical function (ratio 0.57) and PtGA (ratio 0.58). PtGA and higher disease activity positively correlated with the AAV-PRO scores throughout the study. Female patients reported a greater burden in terms of systemic symptoms, treatment side effects, social and emotional impact and concerns about the future. Conversely, age, educational level, damage accrual, mepolizumab dose and ANCA status had no effect on the AAV-PRO scores. CONCLUSIONS: Mepolizumab was associated with a quick and remarkable improvement of health-related quality of life in patients with EGPA. These findings highlight its early and sustained benefits beyond disease control and support the integration of the AAV-PRO questionnaire into routine clinical practice.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".