Increased Prevalence of Myocardial Infarction and Stable Stroke Proportions in Patients with Inflammatory Bowel Diseases in Quebec in 1996–2015
Bibliographic record
Abstract
Background: Chronic inflammatory diseases are linked to an increased risk of atherothrombotic events, but the risk associated with inflammatory bowel disease (IBD) is controversial. We therefore examined the risk of and risk factors for myocardial infarction (MI) and stroke in IBD patients. Methods: We used the public health administrative database from the Province of Quebec, Canada, to identify IBD patients newly diagnosed between 1996 and 2015. The incidence and prevalence of MI and stroke in IBD patients were compared to those for the Canadian population. Results: A cohort of 35,985 IBD patients was identified. The prevalence but not incidence rates of MI were higher in IBD patients (prevalence: 3.98%; incidence: 0.234) compared to the Canadian rates (prevalence: 2.0%; incidence: 0.220), while the prevalence and incidence rates of stroke were not significantly higher in the IBD patients (prevalence: 2.98%; incidence: 0.122, vs. Canadian rates: prevalence: 2.60%; incidence: 0.297). We identified age, female gender, hyperlipidemia, diabetes, and hypertension (p < 0.001 for each) as significant risk factors associated with MI and stroke in IBD. Exposure to biologics was associated with a higher incidence of MI (IRR: 1.51; 95% CI: 0.82–2.76; p = 0.07) in the insured IBD population. Conclusions: An increased prevalence but not incidence of MI and no increased risk of stroke were identified in this population-based IBD cohort.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".