Long-term Safety of Rituximab in Primary Sjögren Syndrome: The Experience of a Single Center
Bibliographic record
Abstract
OBJECTIVE: This work aims to evaluate the long-term safety of rituximab (RTX) in primary Sjögren syndrome (pSS) and to determine the safety and the efficacy of long-term treatment with B cell depleting therapy in pSS patients with active systemic disease. METHODS: A historical cohort study, enrolling 35 patients with pSS treated with RTX between 2008 and 2019 in a single rheumatologic unit, was performed. When patients experienced adverse events, the treatment was suspended and patients' data were recorded. RESULTS: The included patients were mainly female (91%), with a mean age of 54 years. During the time of observation, 13 patients (37.1%) suspended RTX treatment (10 cases per 100 patient-years, 95% CI 0.06-0.17). Baseline demographics, disease characteristics, European Alliance of Associations for Rheumatology (EULAR) Sjögren's Syndrome Disease Activity Index (ESSDAI) values, and treatment were comparable across RTX-suspended and nonsuspended groups. Patients exposed to RTX had been followed for 35.82 ± 32.56 months, and the time of observation varied from 6 to 96 months. All the patients except one experienced a significant and persisting meaningful improvement of their ESSDAI (≥ 3 points) during the long-term follow-up. For the duration of the follow-up, 13 (37%) patients discontinued RTX treatment. Four out of 13 (30.8%) discontinued the treatment after the first administration due to infusion-related reactions. During subsequent RTX courses, the main cause of withdrawal was hypogammaglobulinemia onset (7 patients). In 2 patients, hypogammaglobulinemia was associated with severe infections. CONCLUSION: Long-term RTX administration was shown to be a safe, well tolerated, and effective treatment in patients with active systemic disease, significantly reducing ESSDAI and controlling disease activity.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".