Clinical Manifestations and Long‐Term Outcomes of Eosinophilic Granulomatosis With Polyangiitis in North America
Bibliographic record
Abstract
OBJECTIVE: To describe clinical manifestations and outcomes in patients with eosinophilic granulomatosis with polyangiitis (EGPA) in North America. METHODS: Analysis of patients aged 18 years or older who fulfilled the 1990 American College of Rheumatology Classification Criteria for EGPA enrolled in the Vasculitis Clinical Research Consortium from 2003 to 2019. Main clinical characteristics, treatments, outcomes, and accumulated damage were studied. RESULTS: The cohort included 354 patients; 59% female; age at diagnosis of 50.0 (±14) years; 39% were antineutrophil cytoplasm antibody (ANCA) positive. Time from diagnosis to last follow-up was 7.0 (±6.2) years; 49.4% had one or more relapse. Patients positive for ANCA more commonly had neurological and kidney involvement when compared with patients negative for ANCA, who had more cardiac and lung manifestations. At last study visit, only 35 (12.6%) patients had been off all therapy for more than 2 years during their follow-up. The overall mortality rate was 4.0% and did not differ by ANCA status or cyclophosphamide use. Scores on the Vasculitis Damage Index (VDI) for 134 patients with two or more visits and more than 1 year of follow-up increased from 1.7 (±1.8) at enrollment (3.7 [±5.1] years after diagnosis) to 3.35 (±2.1) at last follow-up (7.5 [±5.8] years after diagnosis), mainly represented by chronic asthma (67.5%), peripheral neuropathy (49.6%), and chronic sinusitis (31.3%). Longer duration of glucocorticoid use and relapse were associated with higher VDI scores. CONCLUSION: This analysis describes the many clinical manifestations and varied outcomes of EGPA and highlights the ongoing need to attain more sustained, long-term remission to limit the accrual of disease-related damage.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".