[PP.03.10] ASSOCIATION BETWEEN DISEASE SEVERITY AND HYPERTENSION IN PATIENTS WITH OSTEOARTHRITIS
Bibliographic record
Abstract
Objective: Recent epidemiological data suggest that patients with osteoarthritis may exhibit higher rates of cardiovascular mortality and morbidity, potentially through increased prevalence of concomitant cardiovascular risk factors or pathways mediated by chronic low-grade inflammation. In this study, we aimed at investigating whether osteoarthritis severity is associated with hypertension, in a population of osteoarthritis patients seeking medical care in a tertiary rheumatology outpatient clinic. Design and method: Consecutive patients with hip and/or knee osteoarthritis attending the Rheumatology Outpatient Clinic of our Department were recruited. Severity of the disease was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), one of the most widely utilized self-report measures of lower extremity symptoms and function. Total score, function, stiffness and pain subscale scores were calculated and analyzed in respect to clinical and epidemiological data obtained from the medical history and clinical examination of the patients. Results: A total of 91 patients, 86 females and 5 males, with a mean age of 61.8 ± 10.3 years, and median disease duration of 4 (2–9) years, were included in the study. 46.7% of the patients had hypertension, while mean systolic/diastolic blood pressure (SBP/DBP) was 135.7 ± 17.4/81.5 ± 9.7 mmHg. Mean WOMAC total score was 36.0 ± 17.6; mean pain, function and median stiffness subscale scores were 7.5 ± 4.2, 25.8 ± 13.1 and 3.0 (1–4), respectively. WOMAC total index was higher among patients with hypertension compared to those with normal blood pressure levels, but did not reach statistical significance (39.3 ± 16.9 vs 32.8 ± 18.0, p = ns). Likewise, pain, stiffness and function indices were comparable between hypertensive and normotensive patients. Neither WOMAC total score nor WOMAC pain and function scores significantly correlated with SBP/DBP. However, a significant association was observed with WOMAC stiffness index and DBP (rho = 0.321, p = 0.030). Conclusions: Although some evidence suggests that osteoarthritis patients may be at increased risk for hard cardiovascular outcomes, severity of osteoarthritis was not associated with hypertension in our population. Further studies are needed to clarify whether a straight-forward association exists between osteoarthritis and cardiovascular diseases.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.272 | 0.096 |
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".