Oral Corticosteroids and the Risk of Serious Infections in Patients With Elderly-Onset Inflammatory Bowel Diseases
Bibliographic record
Abstract
OBJECTIVES: Systemic corticosteroids are among the most common anti-inflammatory treatments in elderly-onset inflammatory bowel disease (IBD) patients. Steroid use and older age each independently predisposes to infections, and infections increase mortality in hospitalized older IBD patients. Therefore, our objective was to examine the risk of serious infections in elderly-onset IBD patients treated with oral corticosteroids, and explore how the timing of exposure affects the risk estimates. METHODS: Using the health-care databases of the province of Quebec, Canada, we conducted a population-based cohort study with a nested case-control analysis. Incident IBD patients aged ≥66 years were identified. Conditional logistic regression was performed to estimate crude and adjusted rate ratios (aRRs) with 95% confidence intervals (CIs). RESULTS: We identified 3,522 elderly-onset patients, of which 564 cases with serious infections were identified during a mean 4.4 years of follow-up (incidence rate 3.7 per 100 per year) and matched to 2,646 controls. The rate of serious infections was significantly higher in those exposed to oral corticosteroids any time during the previous 6-month period compared with those nonexposed (aRR 2.3; 95% CI 1.8-2.9). Those currently exposed (within 45 days) had a higher risk (aRR 2.8; 95% CI 2.1-3.7). The residual effect of oral corticosteroids remained marginally statistically significant up to the 90-day period before the index date (aRR 1.7; 95% CI 1.0-2.7). CONCLUSIONS: We found an excess relative risk for serious infections in elderly-onset IBD patients on oral corticosteroid therapy. Those with current exposure demonstrated a higher vulnerability to infections.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".