Increased Prevalence of Metabolic Syndrome and Adipocytokine Levels in a Psoriatic Arthritis Cohort
Bibliographic record
Abstract
OBJECTIVE: The aims of this study were to evaluate the prevalence of metabolic syndrome (MetS) in psoriatic arthritis (PsA) patients according to the most recent definition in a Mediterranean population and to determine its association with biomarkers of inflammation and serum adipocytokine levels. METHODS: Demographic, clinical, and laboratory data were collected on 74 patients with PsA and 82 control subjects. The presence of MetS was determined according to the current "harmonization" definition. Serum adipocytokines were analyzed. Continuous variables were compared by t test and discrete variables by χ test. Multivariate regression models compared the association between the presence of MetS and the blood levels of adipocytokines. RESULTS: The prevalence of MetS was higher in PsA patients compared with the control group: 54.8% versus 36.6%, respectively (P = 0.02; odds ratio, 2.33; 95% confidence interval, 1.16-4.69). The main difference between the 2 groups was waist circumference. No association was found between MetS and parameters of articular and skin disease activity or treatment. Leptin levels and leptin/adiponectin ratio were higher in PsA patients compared with control subjects: 83.4 versus 51.7 ng/mL (P = 0.001) and 6.3 × 10 versus 4.1 × 10 (P = 0.015), respectively. There was no significant difference in the adiponectin levels between the groups. CONCLUSIONS: The prevalence of MetS was higher in PsA patients compared with non-PsA control subjects in this Mediterranean population. Clinicians caring for PsA patients ought to be aware of the increased risk of MetS in PsA patients, confirmed in different regions worldwide. The increased MetS seems to be linked to central obesity in these patients, and appropriate treatment recommendations are advised.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".