Subclinical Atherosclerosis Is Not Accelerated in Patients with Ankylosing Spondylitis with Low Disease Activity: New Data and Metaanalysis of Published Studies
Bibliographic record
Abstract
OBJECTIVE: Chronic inflammatory rheumatic diseases are associated with accelerated atherosclerosis, but data in ankylosing spondylitis (AS) are limited and the relative contribution of inflammation versus classical cardiovascular (CV) risk factors remains a matter of controversy. We addressed this in an original study and a metaanalysis of previous studies. METHODS: Atheromatic plaques in carotid and femoral arteries, carotid hypertrophy [intima-media thickness (IMT), cross-sectional area], and carotid stiffness by ultrasound, as well as aortic stiffness by pulse wave velocity, were examined in consecutive nondiabetic, CV disease (CVD)-free patients with AS. Healthy individuals carefully matched 1:1 with patients for age, sex, smoking habits, hyperlipidemia, and hypertension served as controls. A metaanalysis of original studies that examined subclinical atherosclerosis in patients with AS versus controls with comparable CVD risk factors was also performed. RESULTS: Carotid and femoral atheromatic plaques were slightly less prevalent compared with controls in a contemporary cohort consisting of 67 patients with AS (82% men), aged 47.5 ± 12.5 years (mean ± SD), with a median disease duration of 12 years and a Bath AS Disease Activity Index (BASDAI) of 1.8 (interquartile range 0.4-3.6), of whom 66% were receiving anti-tumor necrosis factor (TNF) treatment. Carotid hypertrophy and stiffness, as well as aortic stiffness, were similar between patients and their matched controls. Metaanalysis of all published studies revealed a significantly increased carotid IMT, but not plaque burden, in AS versus controls. Notably, however, increased IMT was not evident in studies involving patients with low disease activity (mean BASDAI < 4) or in those studies that included > 50% of patients treated with anti-TNF. CONCLUSION: Low AS disease activity is not associated with accelerated atherosclerosis.
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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 | 0.024 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.033 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".