Impaired Left Ventricular Apical Rotation is Associated with Disease Activity of Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: Although early cardiovascular (CV) involvement has been found in patients with psoriatic arthritis (PsA), few studies have related this to PsA disease activity. The aim of our study was to evaluate left ventricular (LV) mechanics using novel, more sensitive techniques based on assessment of LV rotation for the detection of impaired LV function in patients with PsA correlated with disease-related risk factors. METHODS: Seventy-six patients with PsA and 24 healthy control subjects were enrolled, including 33 patients without any CV risk factors. All participants underwent conventional echocardiography and 2-dimensional speckle tracking imaging. Global longitudinal, apical circumferential, and radial strain, and apical rotation and maximal untwisting rate during early diastole were measured. RESULTS: Although patients with PsA had normal LV ejection fraction, the myocardial deformation in multidimensional planes was impaired. Based on the cutoff point derived from the apical rotation of control subjects, 81% of the patients had subclinical systolic and/or diastolic dysfunction. Similar prevalence was found in patients without CV risk factors. Spearman correlation demonstrated a relationship between Disease Activity Score in 28 joints (r=0.299, p=0.011), erythrocyte sedimentation rate (r=0.309, p=0.008), and impaired apical rotation, even after adjusting for age and hypertension. No correlation was found between longitudinal, radial, and circumferential strain and disease activity. CONCLUSION: Subclinical impaired myocardial deformation was common in patients with PsA even without CV risk factors. Apical rotation was associated with the status of PsA disease activity. These new speckle tracking echocardiography techniques can detect subclinical myocardial involvement in PsA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".