Echocardiographic evaluation of diastolic dysfunction in young and healthy patients with psoriasis: A case-control study
Bibliographic record
Abstract
Psoriasis is a systemic inflammatory disease with a great prevalence in general population. The inappropriate activation of the cellular immune system has been hypothesized to be an independent cardiovascular risk factor, given the higher incidence of cardiovascular disorders in psoriatic patients. Echocardiographic abnormalities have been demonstrated too: the aim of our study was to evaluate the presence of preclinical cardiac dysfunction in a cohort of psoriatic patients without cardiovascular risk factors. We enrolled 52 patients with the diagnosis of chronic plaque psoriasis, compared with a control group not affected by any relevant systemic diseases and inflammatory disorders. In all patients and control group, echocardiographic conventional and tissue Doppler (TDI) studies were conducted. The analysis of echocardiographic parameters revealed normal dimension, mass and systolic function of the left ventricle. Left ventricular diastolic dysfunction was found in 36.5% patients in the psoriasis group versus 0% in control group, and significant reduction of the E/A ratio was found also for the right ventricle. A significant increase of mitral regurgitation has been found in psoriatic patients (p=0.005). The early recognition of cardiovascular pre-clinic disease in psoriatic patients may guide a strict follow up and an early treatment, potentially improving cardiovascular prognosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".