Assessment and clinical relevance of the dynamic parameters of ventricular repolarization in patients with grade I left ventricular diastolic dysfunction
Bibliographic record
Abstract
Imbalance in ventricular repolarization parameters are related to increased risk of severe arrhythmia and sudden cardiac death. There is limited research regarding markers to detect patients at risk in this early stage. We aimed to assess the influence of grade I left ventricular diastolic dysfunction on repolarization parameters in asymptomatic patients. Ambulatory patients with grade I left ventricular diastolic dysfunction were studied and compared with a control group. We assessed the QT dispersion circadian variation, heart rate variability in the time and frequency domains, and dynamics of QT using a 12-lead Holter. In the diastolic dysfunction group, 8 (30%) patients had QT dispersion > 80 ms. One (3.8%) patient presented premature ventricular complex > 10/h. The comparison between the 2 groups showed that the difference between the standard deviation of normal-to-normal intervals and low frequency power in both groups was statistically significant. We therefore conclude that increased parameters of ventricular repolarization and depressed heart rate variability reflect an imbalance in autonomic responses in patients with grade I left ventricular diastolic dysfunction without cardiovascular symptoms, enabling the identification of patients that are at a higher risk for cardiovascular events.
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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 | 0.001 | 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".