Cardiovascular and other comorbidities in patients with psoriatic arthritis: A comparison with patients with psoriasis
Bibliographic record
Abstract
OBJECTIVE: To determine whether the presence of psoriatic arthritis (PsA) is associated with greater comorbidity, in particular cardiovascular morbidity, compared to psoriasis without arthritis. METHODS: Six hundred eleven patients with PsA were recruited from the University of Toronto Psoriatic Arthritis Clinic and 449 psoriasis without arthritis patients were recruited from the University of Toronto Psoriasis Cohort. The clinical database was used to identify the prevalence of cardiovascular and other comorbidities in both PsA and psoriasis without arthritis patients. Univariate and multivariate logistic regression analyses were conducted to estimate odds ratios (ORs), comparing the odds of ever having a given comorbid disease in PsA patients with those in psoriasis without arthritis patients. Covariates included age, sex, education, smoking status, severity and duration of psoriasis, medication status, and other comorbidities. RESULTS: The prevalence of hypertension, obesity, hyperlipidemia, type 2 diabetes mellitus, and at least 1 cardiovascular event in PsA patients was 37.1%, 30.0%, 20.7%, 12.0%, and 8.2%, respectively. This was significantly higher than in psoriasis without arthritis patients, with unadjusted ORs ranging from 1.54 to 2.59. In the multivariate analyses, hypertension remained significantly elevated (adjusted OR 2.17). PsA was also significantly associated with infections not treated with antibiotics (presumably viral), neurologic conditions, gastrointestinal disorders, and liver disease (adjusted ORs 2.83, 4.76, 21.53, and 7.74, respectively). Infections treated with antibiotics and depression/anxiety were relatively common in PsA, with a prevalence of 30.5% and 20.7%, respectively. However, this was not significantly different from psoriasis without arthritis after multivariate adjustments. CONCLUSION: The results suggest that inflammatory joint disease may play a role in both cardiovascular and noncardiovascular morbidity in PsA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".