Long‐term risk of infection in patients with Crohn's disease on anti‐TNF treatment: A prospective single‐center cohort study in China
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to explore the long-term risk of infection in patients with Crohn's disease (CD) on infliximab (IFX) therapy. METHODS: All CD patients treated with IFX were recruited from January 2008 to December 2015. Their characteristics and infectious events during IFX therapy were prospectively collected, and the risk of infection was evaluated using Cox regression. RESULTS: Seventy CD patients receiving IFX were consecutively recruited. During a median of 15 months, 15 patients experienced 17 infectious events which occurred within a median of 21 weeks after the initiation of IFX therapy. Of 17 infectious events, eight were viral infections, six were bacterial infections, and the others were fungal infections. IFX was discontinued in 6 (40.0%) out of 15 cases due to infections. Compared with those without infections, patients with infectious events were more likely of Montreal B1 (inflammatory) behavior, with concomitant use of systemic corticosteroids when infliximab was started but less mucosal healing when infections occurred (P < 0.05). By Cox hazard ratio (HR) analysis, patients with B1 behavior had a higher risk of developing infections than those with B3 (fistulizing) behavior (HR 4.897, P = 0.010). Successful corticosteroid withdrawal (HR 0.275, P = 0.035) or mucosal healing (HR 0.155, P = 0.002) were associated with a lower risk of infections. CONCLUSIONS: Long-term use of IFX in CD patients has a high risk of infections. Failure in mucosal healing and increased concomitant use of systemic corticosteroids are independent risk factors of infections during IFX therapy.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".