Treatment and Long-Term Outcomes of Primary Central Nervous System Vasculitis
Bibliographic record
Abstract
Background and Purpose- We aimed to analyze the long-term outcomes of patients with primary central nervous system vasculitis according to the different therapeutic strategies used to induce remission. Methods- We assessed the rate of prolonged remission (defined by the absence of relapse at ≥12 months after diagnosis) and the functional status at last follow-up in patients with primary central nervous system vasculitis included in the French cohort, who achieved a first remission according to the 3 main groups of treatments administered: glucocorticoids only (group 1); induction treatment with glucocorticoids and an immunosuppressant, but no maintenance (group 2); and combined treatment with glucocorticoids and an immunosuppressant for induction followed by maintenance therapy (group 3). Good functional status was defined as a modified Rankin Scale score ≤2 at the last follow-up. Results- Remission was achieved with the initial induction treatment in 106 (95%) of the 112. Prolonged remission without relapse was observed in 70 (66%) patients after 57 (12-198) months of follow-up. A good functional status at last follow-up (ie, modified Rankin Scale score ≤2) was observed in 63 (56%) patients. Overall mortality was 8%. The initial severity and the radiological presentations were comparable in the 3 treatment groups. More prolonged remissions ( P=0.003) and a better functional status at the last follow-up ( P=0.0004) were observed in group 3. In multivariate analysis, the use of maintenance therapy was associated with prolonged remission (odds ratio, 4.32 [1.67-12.19]; P=0.002) and better functional status (odds ratio, 8.09 [3.24-22.38]; P<0.0001). Conclusions- This study suggests that maintenance therapy with an immunosuppressant combined with glucocorticoids lead to the best long-term clinical and functional outcomes in patients with primary central nervous system vasculitis after having achieved remission with either glucocorticoids alone or in combination with another immunosuppressant.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".