Subcutaneous Abatacept for the Treatment of Rheumatoid Arthritis: Longterm Data from the ACQUIRE Trial
Bibliographic record
Abstract
OBJECTIVE: Assess longterm tolerability, safety, and efficacy of subcutaneous (SC) abatacept (ABA) in methotrexate-refractory patients with rheumatoid arthritis (RA). METHODS: The phase III, multinational Abatacept Comparison of Sub[QU]cutaneous Versus Intravenous in Inadequate Responders to MethotrexatE (ACQUIRE) trial comprised a 6-month, randomized, double-blind (DB) period, in which patients received intravenous (IV) or SC ABA, plus MTX, followed by an open-label, longterm extension (LTE), in which patients received SC ABA, 125 mg/week. Safety and efficacy from the LTE (∼3.5 yrs of exposure) are reported. RESULTS: Patients who completed the DB period (1372/1385, 99.1%) entered the LTE; 1134 patients (82.7%) kept taking the treatment at time of reporting. Mean (SD) was 31.9 months (6.8); median (range) exposure was 33.0 (8-44) months. Patients entering the LTE had longstanding, moderate-to-severe disease [mean 7.6 (7.9) yrs and DAS28 (C-reactive protein) 6.2 (0.9)]. Incidence rates (events/100 patient-yrs) were reported for serious adverse events (8.76, 95% CI 7.71, 9.95), infections (44.80, 95% CI 41.76, 48.01), serious infections (1.72, 95% CI 1.30, 2.27), malignancies (1.19, 95% CI 0.86, 1.66), and autoimmune events (1.31, 95% CI 0.95, 1.79). Twenty-seven patients (2%) experienced injection-site reactions; all except 1 were mild. American College of Rheumatology 20, 50, and 70 responses achieved during the DB period were maintained through the LTE, and on Day 981 were 80.2% (95% CI 77.2, 83.2), 63.5% (95% CI 58.2, 68.9), and 39.5% (95% CI 34.0, 44.9) for patients who kept taking SC ABA, and 80.0% (95% CI 77.0, 83.0), 63.2% (95% CI 57.8, 68.7), and 39.2% (95% CI 33.7, 44.7) for those who switched from IV to SC ABA. CONCLUSION: These findings support SC ABA as a well-tolerated and efficacious longterm treatment for patients with RA and inadequate response to MTX (ClinicalTrials.gov identifier NCT00559585).
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".