Subcutaneously Administered Ofatumumab in Rheumatoid Arthritis: A Phase I/II Study of Safety, Tolerability, Pharmacokinetics, and Pharmacodynamics
Bibliographic record
Abstract
OBJECTIVE: To investigate the safety and tolerability of a single subcutaneous (SC) dose of ofatumumab, a fully human anti-CD20 monoclonal antibody, in patients with rheumatoid arthritis (RA) taking background methotrexate (MTX). Secondary objectives included characterizing pharmacokinetics and pharmacodynamics. METHODS: In this single-blind, phase I/II study, 35 patients with RA were randomized in 5 cohorts to receive a single subcutaneous (SC) ofatumumab dose ranging from 0.3 to 100 mg, or placebo, following premedication with oral acetaminophen and antihistamine. Patients were followed for 24 weeks with extended followup to monitor B cell and immunoglobulin recovery for up to 2 years if required. RESULTS: Thirty-five patients received the following treatment: 0.3 mg, n = 4; 3 mg, n = 6; 30 mg, n = 8; 60 mg, n = 6; 100 mg, n = 3; placebo, n = 8. The most common adverse events in the combined ofatumumab groups were headache, nausea, and upper respiratory tract infection. Because of tolerability concerns, only 3 patients were given 100 mg. For the 30-100 mg doses, median maximum plasma concentration values ranged from 4.02 to 4.49 days. Mean elimination half-life values ranged from 5.20 to 6.83 days. Increasing peripheral median B cell depletion was observed from 0.3 mg up to 30 mg, and full target B cell depletion was achieved with 30 mg, 60 mg, and 100 mg. CONCLUSION: Treatment of RA patients with SC ofatumumab doses of 30 mg or higher resulted in profound and prolonged B cell depletion in blood. Single doses up to 60 mg were tolerated without glucocorticoid premedication. (ClinicalTrials.gov identifier NCT00686868).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".