Incidence and Management of Infusion Reactions to Infliximab in a Prospective Real-world Community Registry
Bibliographic record
Abstract
OBJECTIVE: Infliximab (IFX) is a therapeutic monoclonal antibody targeting tumor necrosis factor-α indicated in the treatment of chronic inflammatory diseases. IFX is administered by intravenous infusion and may be associated with different types of infusion reactions. METHODS: RemiTRAC Infusion (NCT00723905) is a Canadian observational registry in which patients receiving IFX are followed prospectively to document premedication use, adverse events, infusion reactions, and the management of infusion reactions. The primary endpoint was to assess factors associated with infusion reactions. RESULTS: There were 1632 patients enrolled and 24,852 infusions recorded. Most patients (63.1%) were treated for rheumatologic conditions such as rheumatoid arthritis, ankylosing spondylitis, or psoriatic arthritis. Of the 1632 patients, 201 (12.3%) reported at least 1 infusion reaction. Three hundred twenty-two infusions were associated with an infusion reaction (1.3%), and most were mild to moderate in severity (95%). The most common infusion reactions were pruritus (19.9%), flushing (9.9%), or dyspnea (6.2%). Multivariate analysis showed that antihistamines premedication, number of previous infusion reactions, and female sex were significantly associated with an increased incidence of infusion reactions (p < 0.0011). The use of any concomitant immunosuppressant or corticosteroids did not influence the incidence of infusion reactions. Antihistamine premedication was associated with an increased incidence of infusion reactions (OR 1.58, p = 0.0007). CONCLUSION: This registry shows that in community-based infusion clinics, infusion reactions to IFX are uncommon and mild to moderate in nature. Antihistamines, intravenous steroids, and acetaminophen are widely used as preventative premedication, although this study showed an absence of benefit with their use.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".