Left Ventricular Diastolic Dysfunction — Early Cardiac Impairment in Patients with Polymyositis/Dermatomyositis: A Tissue Doppler Imaging Study
Bibliographic record
Abstract
OBJECTIVE: To investigate early cardiac involvement in patients with polymyositis/dermatomyositis (PM/DM), and to evaluate the risk factors for early cardiac impairment. METHODS: The study population included 46 patients with PM/DM who did not have overt cardiovascular manifestations and 21 age- and sex-matched healthy controls. Traditional echocardiography and tissue Doppler imaging (TDI) were used to evaluate cardiac function in both groups. Clinical characteristics were recorded. Multivariate logistics regression analysis was applied to investigate risk factors for early cardiac impairment in patients with PM/DM. RESULTS: No significant difference was found between patients and controls by traditional echocardiography. However, compared to controls, PM/DM patients had a significantly lower ratio of early diastolic mitral annulus velocity to late diastolic mitral annulus velocity (Em/Am; 1.23 ± 0.52, 1.79 ± 0.37, respectively; t = -4.485, p < 0.001) and a higher ratio of peak early diastolic transmitral flow velocity to Em (E/Em; 8.26 ± 2.57, 6.76 ± 1.17; t = 3.287, p < 0.05) as found by TDI measurements. There was no significant difference between the TDI variables of patients with PM and DM. The multivariate regression analysis showed that female sex (OR 11.044, 95% CI 1.066-114.357, p = 0.044), late onset (OR 1.157, 95% CI 1.047-1.278, p = 0.004), and duration of disease (OR 1.060, 95% CI 1.008-1.115, p = 0.023) were risk factors for abnormal left ventricular filling pressures. CONCLUSION: TDI is useful for detecting early cardiac impairment in patients with PM/DM. Left ventricular diastolic dysfunction is an early feature of cardiac involvement. Female sex, late onset, and long course of disease are 3 independent risk factors for predicting left ventricular diastolic dysfunction in patients with PM/DM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".