High Prevalence of Subclinical Left Ventricular Dysfunction in Patients with Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: Endothelial dysfunction and early atherosclerosis have been found in patients with psoriatic arthritis (PsA) without cardiovascular disease (CVD) risk factors. Few studies have investigated whether there is any early impairment of myocardial function. The aims of our study were to determine the prevalence of subclinical left ventricular (LV) dysfunction in PsA patients and the disease-related risk factors. METHODS: Ninety-four PsA patients without clinical evidence of CVD and 63 healthy subjects were enrolled. All underwent conventional echocardiography and tissue Doppler imaging. RESULTS: Sixty-one (65%) patients with PsA had evidence of subclinical LV dysfunction as defined by mean myocardial peak systolic velocity (Sm) of basal 6 segments < 4.4 cm/s, lateral E' < 11.5 cm/s, and/or lateral E/E' > 10. Thirty-six (38%) patients had only diastolic dysfunction, 4 (4%) had only systolic dysfunction, and 21 (22%) had both systolic and diastolic dysfunction. PsA patients with subclinical LV dysfunction were older, had a higher age at diagnosis of PsA and of psoriasis, a longer disease duration, a higher prevalence of hypertension and hyperlipidemia, higher levels of serum creatinine, and more antihypertensive treatment than those with normal LV function. Multivariate regression showed that age at diagnosis of PsA > 40 years (OR 3.388, 95% CI 1.065-10.777, p = 0.039) and hypertension (OR 4.732, 95% CI 1.345-16.639, p = 0.015) were independent predictors of subclinical LV dysfunction. CONCLUSION: PsA patients without established CVD disease and in the absence of traditional CV risk factors have a high prevalence of subclinical LV dysfunction.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".