Relationship Between Cardiac Valvular and Arterial Calcification in Patients with Rheumatoid Arthritis and Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: Cardiac valvular calcification has been linked with systemic atherosclerosis in the general population. The prevalence and relationship with arterial calcification in patients with rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) is unknown. We investigated the prevalence of valvular calcification in patients with RA and SLE and its relationship with arterial atherosclerotic calcification. METHODS: We compared aortic valve calcification (AVC), mitral valve calcification (MVC), and systemic vascular bed calcification using multidetector computed tomography in 110 patients (mean age 46.5 ± 9.4 yrs, 97 women) with RA (n = 58) or SLE (n = 52) and 60 age and sex-matched healthy controls. RESULTS: Patients with RA and SLE, combined, had significantly higher prevalence of AVC (21.8% vs 3.3% in controls; p < 0.01), MVC (19.1% vs 0% in controls; p < 0.01), and arterial calcification in different vascular beds (all p < 0.05). AVC was not associated with any specific clinical characteristics, but MVC was associated with older age, hypertension, C-reactive protein level, and duration of disease. The presence of MVC was independently associated with coronary calcification and calcification in any vascular bed upon adjustment with clinical measures. CONCLUSION: Our study demonstrated that cardiac valvular calcification is more prevalent in patients with RA and SLE compared with healthy controls. The presence of MVC, but not AVC, independently predicted the occurrence of premature atherosclerosis with arterial calcification in patients with RA and SLE.
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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 | 0.003 |
| 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 | 0.000 |
| 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".