Infliximab and other immunomodulating drugs in patients with inflammatory bowel disease and the risk of serious bacterial infections
Bibliographic record
Abstract
BACKGROUND: There remain concerns about the safety of infliximab therapy in patients with inflammatory bowel disease (IBD). AIM: To assess the association between the initiation of infliximab and other immunomodulating drugs and the risk of serious bacterial infection in the treatment of IBD. METHODS: We assembled a cohort study of patients with IBD, including Crohn's disease (CD) and ulcerative colitis (UC). All patients initiating an immunomodulating drug between January 2001 and April 2006 were identified in British Columbia from linked health care utilization databases. Exposure of interest was initiation of infliximab or corticosteroids compared with initiation of other immunosuppressive agents, including azathioprine, mercaptopurine (MP) and methotrexate (MTX). Outcome of interest was serious bacterial infections requiring hospitalization, including Clostridium difficile. RESULTS: Among 10 662 IBD patients, the incidence rate of bacteriaemia ranged from 3.8 per 1000 person-years (95% confidence interval 2.1-6.2) for other immunosuppressive agents to 7.4 (3.3-19.3) for infliximab with slightly higher rate for serious bacterial infections resulting in an adjusted relative risk 1.4 (0.47-4.24). Clostridium difficile infections occurred in 0/1000 (0-5.4) among 521 infliximab initiations and 14/1000 (10.6-18.2) for corticosteroids. Corticosteroid initiation tripled the risk of C. difficile infections (RR = 3.4; 1.9-6.1) compared with other immunosuppressant agents. This corticosteroid effect was neither dose-dependent nor duration-dependent. Bacteriaemia and other serious bacterial infections were not increased by corticosteroids or infliximab (5 events). CONCLUSIONS: In a population-based cohort of patients with IBD, we found no meaningful association between infliximab and serious bacterial infections, although some subgroups had few events. Corticosteroid initiation increased the risk for C. difficile infections in these patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".