The Substrate of Sudden Death in Long-QT Syndrome is localized in the Epicardium
Bibliographic record
Abstract
ABSTRACT Despite significant advances in the prevention of cardiovascular diseases, sudden cardiac death (SCD) persists as a major public health problem. Among young and apparently healthy individuals, Long-QT syndrome (LQTS) represents a leading progenitor of SCD owing to fatal ventricular arrhythmia. Scientific understanding of this association has grown in recent years, and the mortality rate after LQTS diagnosis has significantly decreased. However, despite medical treatment advances, life-threatening ventricular arrhythmias still occur. Until now, no research has established the degree to which this inherited condition arises from an underlying arrhythmogenic electroanatomical substrate. Here, we present direct evidence showing that LQTS patients who survive spontaneous malignant arrhythmias harbor structural electrophysiological abnormalities localized in the epicardium of the right ventricle. We further show that the elimination of these abnormalities by means of catheter ablation successfully suppresses malignant arrhythmias, offering a new approach for the effective treatment of LQTS patients.
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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 | 0.000 |
| 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) | 0.002 | 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".