Increased risk of cardiovascular and cerebrovascular diseases in individuals with ankylosing spondylitis: A population‐based study
Bibliographic record
Abstract
OBJECTIVE: To estimate the excess risk of cardiovascular and cerebrovascular diseases among individuals with ankylosing spondylitis (AS) in Quebec compared with the general population of Quebec. METHODS: A retrospective cohort study was conducted using population-based administrative data from Quebec. The cohort included all adult individuals with at least 1 AS diagnosis on physician billing or hospital discharge records between 1996 and 2006. A comparison cohort was generated using a 1% random sample of individuals without AS. Cardiovascular and cerebrovascular diseases, and associated hospitalizations, were classified into 1 of 6 subcategories: congestive heart failure, valvular (aortic or nonaortic) heart disease, ischemic heart disease, cerebrovascular disease, or "other" cardiovascular disease. The age- and sex-stratified prevalence estimates, and standardized prevalence ratios, of cardiovascular or cerebrovascular disease in patients with AS, compared to that in the general population, were calculated. RESULTS: The AS cohort included 8,616 individuals diagnosed over the period 1996-2006. The prevalence of cardiovascular and cerebrovascular diseases increased with increasing age for all cardiovascular disease subgroups, and was similar for individuals of both sexes. Age- and sex-stratified prevalence ratios were highest in younger individuals with AS. The age- and sex-standardized prevalence ratios comparing the risk among those with AS to the risk in the general population were as follows: for aortic valvular heart disease 1.58 (95% confidence interval [95% CI] 1.31-1.91), for nonaortic valvular heart disease 1.58 (95% CI 1.43-1.74), for ischemic heart disease 1.37 (95% CI 1.31-1.44), for congestive heart failure 1.34 (95% CI 1.26-1.42), for "other" cardiovascular disease 1.36 (95% CI 1.29-1.44), for cerebrovascular disease 1.25 (95% CI 1.15-1.35), and for any hospitalization for a cardiovascular or cerebrovascular disease 1.31 (95% CI 1.22-1.41). CONCLUSION: Compared with the general population, patients with AS are at increased risk for many types of cardiovascular and cerebrovascular diseases, and are more likely to be hospitalized for these diseases. The excess risk is greatest in younger patients with AS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".