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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".