Brief Report: Childhood‐Onset Systemic Necrotizing Vasculitides: Long‐Term Data From the French Vasculitis Study Group Registry
Bibliographic record
Abstract
OBJECTIVE: To describe the initial features and long-term outcomes of childhood-onset small vessel and medium vessel systemic necrotizing vasculitides (SNVs), including antineutrophil cytoplasmic antibody-associated vasculitides (AAVs) and polyarteritis nodosa (PAN). METHODS: Data on patients with childhood-onset SNV registered in the French Vasculitis Study Group database were reviewed for demographic characteristics, clinical, laboratory, and histologic features, and outcomes. Disease activity was assessed with the Birmingham Vasculitis Activity Score and the Paediatric Vasculitis Activity Score, and damage was scored using the Vasculitis Damage Index. Relapse and survival rates and causes of death were analyzed. RESULTS: Fifty-six patients (35 with AAV and 21 with PAN) (median age at database enrollment 14 years [range 2-17]) were included in the study. The median duration of followup was 96 months (range 1-336); two-thirds of the patients were followed up beyond 18 years of age. Six patients (11%) died, mostly of SNV-related causes. Relapse rates ranged from 33% for microscopic polyangiitis to 50% for eosinophilic granulomatosis with polyangiitis (Churg-Strauss) and 83% for granulomatosis with polyangiitis (Wegener's), with similar rates among AAV and PAN patients (76% and 75%, respectively); neither overall survival nor relapse-free survival differed significantly between the 2 disease groups. Rates of relapse increased after 18 years of age, both among patients with AAV and among patients with PAN. At the last followup evaluation, AAV patients had more major flares and more severe accrued damage compared with PAN patients. CONCLUSION: Despite similar relapse rates, patients with childhood-onset AAVs experienced more major flares with more cumulative damage than those with pediatric PAN. Treatments aimed at reducing the rates of mortality and relapse in this patient group need to be developed and assessed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".