Serious Infection and Mortality in Patients With Crohn's Disease: More Than 5 Years of Follow-Up in the TREAT™ Registry
Bibliographic record
Abstract
OBJECTIVES: The objective of this study was to contribute long-term safety data for infliximab and other therapies in Crohn's disease (CD). METHODS: We prospectively evaluated CD patients enrolled in the large, observational Crohn's Therapy, Resource, Evaluation, and Assessment Tool registry, established to compare infliximab safety with conventional nonbiological medications in CD. RESULTS: A total of 6,273 patients were enrolled and evaluated on or before 23 February 2010; 3,420 received infliximab (17,712 patient-years; 89.9% received ≥ 2 infusions) and 2,853 received other-treatments-only (13,251 patient-years). Mean length of patient follow-up was 5.2 years. More infliximab- than other-treatments-only-treated patients had moderate-to-severe (30.6% vs. 10.7%) or severe-to-fulminant (2.5% vs. 0.6%) disease severity (P < 0.001). In the year before enrollment, more infliximab- than other-treatments-only-treated patients required surgical intervention (17.4% vs. 13.6%), medical hospitalization (14.2% vs. 8.8%), prednisone (47.8% vs. 31.4%), immunomodulators (52.0% vs. 32.1%), and narcotic analgesics (17.3% vs. 9.1%). Patient mortality was similar for infliximab- and other-treatments-only-treated patients (0.58 vs. 0.59/100 patient-years). In multivariate logistic regression analyses, treatment with prednisone (hazard ratio (HR) = 2.14, 95% confidence interval (CI) = 1.55, 2.95; P < 0.001) or narcotic analgesics (HR = 1.79, 95% CI = 1.29, 2.48; P < 0.001) and age (HR = 1.08, 95% CI = 1.07, 1.09; P < 0.001) were associated with increased mortality risk. Neither infliximab nor immunomodulator treatment was associated with increased mortality risk. Factors independently associated with serious infections included moderate-to-severe disease activity (HR = 2.24, 95% CI = 1.57, 3.19; P < 0.001), narcotic analgesic treatment (HR = 1.98, 95% CI = 1.44, 2.73; P < 0.001), prednisone therapy (HR = 1.57, 95% CI = 1.17, 2.10; P = 0.002), and infliximab treatment (HR = 1.43, 95% CI = 1.11, 1.84; P = 0.006). CONCLUSIONS: Mortality was similar between infliximab- and other-treatments-only-treated CD patients. An increased risk of serious infection with infliximab was observed, although CD severity and use of prednisone or narcotic analgesics carried higher risks.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".