Pulmonary involvement in primary systemic vasculitides
Bibliographic record
Abstract
OBJECTIVES: This study describes the spectrum and initial impact of pulmonary manifestations in the primary systemic vasculitides. METHODS: Description and comparison of pulmonary manifestations in adults with Takayasu's arteritis (TAK), GCA, granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), eosinophilic GPA (EGPA), polyarteritis nodosa (PAN) and IgA vasculitis (IgAV), using data collected within the Diagnostic and Classification Criteria in Vasculitis study. RESULTS: Data from 1952 patients with primary vasculitides were included: 170 TAK, 657 GCA, 555 GPA, 223 MPA, 146 EGPA, 153 IgAV and 48 PAN. Pulmonary manifestations were observed in patients with TAK (21.8%), GCA (15.8%), GPA (64.5%), MPA (65.9%), EGPA (89.0%), PAN (27.1%) and IgAV (5.9%). Dyspnoea occurred in patients with TAK (14.7%), GCA (7.8%), GPA (41.8%), MPA (43.5%), EGPA (65.8%), PAN (18.8%) and IgAV (2.6%). Cough was reported in TAK (7.6%), GCA (9.3%), GPA (34.8%), MPA (37.7%), EGPA (55.5%), PAN (16.7%) and IgAV (3.3%). Haemoptysis occurred mainly in patients with ANCA-associated vasculitis (AAV). Fibrosis on imaging at diagnosis was documented in GPA (1.9%), MPA (24.9%) and EGPA (6.3%). Only patients with AAV (GPA 2.7%, MPA 2.7% and EGPA 3.4%) required mechanical ventilation. At 6 months, the presence of at least one pulmonary item in the Vasculitis Damage Index was observed in TAK (4.1%), GCA (3.3%), GPA (15.4%), MPA (28.7%), EGPA (52.7%), PAN (6.2%) and IgAV (1.3%). CONCLUSION: Pulmonary manifestations can occur in all primary systemic vasculitides, but are more frequent and more often associated with permanent damage in AAV.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".