Carotid intima-media thickness and paraoxonase activity in patients with ankylosing spondylitis
Bibliographic record
Abstract
PURPOSE: The risk of atherosclerosis is increased in several rheumatological disorders, but any such risk remains unproven for ankylosing spondylitis. Since carotid intima-media thickness is an indicator of early atherosclerosis, and the paraoxonase (PON1) enzyme has antioxidant activity to prevent LDL oxidation, we aimed to identify: 1) the relationship between carotid intima-media thickness (CIMT) and serum paraoxonase (PON1) activity in ankylosing spondylitis (AS) patients; and 2) the possible differences in CIMT in AS patients versus age-matched, healthy controls. METHODS: Forty-five AS patients (36.8±9.8 years, 36 males, 9 females) and 30 controls (35.9±10.2 years, 23 males, 7 females) were recruited consecutively. Serum PON1 activity and CIMT were measured. The Bath Ankylosing Spondylitis Metrology Index (BASMI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath Ankylosing Spondylitis Radiologic Index (BASRI) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) were used to identify relationships between these clinical indices and levels of CIMT and PON1. RESULTS: Mean CIMT was significantly increased in AS patients relative to controls (0.49±0.06 mm vs. 0.59±0.07 mm; p < 0.0001). Conversely, serum PON1 activity was decreased (199.1±60.3 U/L vs. 96.7±29 U/L; p < 0.0001). PON1 activity was negatively correlated with CIMT (r = -0.557, p = 0.0001). Disease duration was positively correlated with CIMT (r = 0.542, p = 0.0001) and negatively correlated with PON1 (r = -0.649, p = 0.0001). On multivariate analysis, disease duration and serum PON1 activity were found to be independent predictors of CIMT (R2 = 0.687, p = 0.0001). CONCLUSIONS: In conclusion, significantly increased CIMT and decreased PON1 activity suggest a relationship between atherosclerosis and AS: a relationship that is strongly correlated with disease duration.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".