Risk of Relapse of Antineutrophil Cytoplasmic Antibody–Associated Vasculitis in a Randomized Controlled Trial of Plasma Exchange and Glucocorticoids
Bibliographic record
Abstract
OBJECTIVE: Relapses of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis are important events that can cause organ dysfunction and reduce quality of life. Understanding the effects of the initial treatments for ANCA-associated vasculitis on the subsequent risk of relapse may help guide monitoring and treatment. METHODS: We performed a post hoc analysis of participants with severe ANCA-associated vasculitis enrolled in an international two-by-two factorial randomized controlled trial comparing the effects of plasma exchange (PLEX) to no PLEX and a regimen of reduced glucocorticoid exposure to a standard regimen. We estimated the effects of treatments on relapses of any severity using three competing risk time-to-event models adjusted for patient and disease characteristics and other treatments. Each model was adjusted for disease manifestations in different ways. RESULTS: Of 704 participants, 649 (92.2%) achieved remission and 147 (22.7%) experienced 204 relapses. The relapse rate was 10.3 (95% confidence interval [CI] 8.4-12.1) relapses per 100 patient-years. Neither the use of PLEX (subhazard ratio 0.91-0.94; 95% CIs range from 0.66 to 1.31) nor a glucocorticoid regimen (subhazard ratio 0.93-0.94; 95% CIs range from 0.67 to 1.35) appreciably changed the risk of relapse. Proteinase 3-ANCA and the presence of nonhemorrhagic respiratory manifestations of the disease at trial entry were associated with increased risks of relapse. Receiving dialysis at baseline and administration of oral cyclophosphamide as induction therapy were associated with lower risks of relapse. CONCLUSION: In patients with severe ANCA-associated vasculitis, relapses remain common; neither the use of PLEX nor an initial glucocorticoid tapering regimen impacted relapse risk.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".