Health‐related quality of life in patients with newly diagnosed antineutrophil cytoplasmic antibody–associated vasculitis
Bibliographic record
Abstract
OBJECTIVE: Antineutrophil cytoplasmic antibody-associated vasculitis (AAV) can present with a broad spectrum of signs and symptoms. The relative effects of different manifestations on health-related quality of life (HRQOL) are unknown. METHODS: We conducted an individual patient data meta-analysis of baseline Short Form 36 (SF-36) scores from 4 randomized controlled trials of patients with newly diagnosed AAV. We determined the associations between organ manifestations at trial entry and the SF-36 physical composite score (PCS) and mental composite score (MCS) using mixed-effects models adjusted for demographic factors. Associations with each of the 8 domains of the SF-36 were further explored using multivariate multiple regression. RESULTS: SF-36 data were available from 346 patients. Older age (-0.11 points/year [95% confidence interval (95% CI) -0.21, -0.012]; P = 0.029) and neurologic involvement (-5.84 points; P < 0.001) at baseline were associated with lower PCS. Physical functioning scores were the most affected and older age scores (-0.25 points/year [95% CI -0.38, -0.11]; P < 0.001) and neurologic involvement (-8.48 points [95% CI -12.90, -4.06]; P < 0.001) had the largest effects. The MCS was negatively affected only by chest involvement (P = 0.027), but this effect was not exerted in any particular domain. CONCLUSION: In patients with newly diagnosed AAV, HRQOL is complex and incompletely explained by their organ system manifestations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".