Paced QT Dispersion and QT Morphology After Radiofrequency Atrioventricular Junction Ablation:
Bibliographic record
Abstract
Catheter ablation of the atrioventricular junction (AVJ) is a widely accepted treatment for drug refractory atrial fibrillation. Unfortunately, there have been some reports of pause dependent ventricular arrhythmias associated with QT interval prolongation, mainly in patients with reduced LV function. The present investigation evaluates the association of LV function with QT dispersion in response to a sudden rate drop. ECGs were' recorded on 20 patients (13 with normal LV function) on the day following AVJ ablation while paced at a range of ventricular rates (40-120 beats/min), and during a sudden drop from 80 to 40 beats/min. The maximum QT interval (QTmax), minimum QT interval (QTmin), and QT interval dispersion (QTdisp) were compared. In both groups, the QTmax and QTmin increased at slower paced heart rates while the QTdisp did not change. In response to a sudden rate drop from 80 to 40 beats/min, the QTmax increased in both groups of LV function (trend), while the QTmin increased in those with normal LV function (24 +/- 22 ms), but not in those with reduced LV function (0 +/- 14 ms; P = 0.01). Consequently, the QTdisp increased significantly in those with reduced LV function (31 +/- 23 ms) but not in normal LV function (-5 +/- 29 ms; P = 0.01). Morphological QTU changes developed following the sudden rate drop in 67% of the reduced LV versus 8% of the normal LV (P = 0.02) function groups. Following AVJ ablation, QTdisp increased during a sudden rate drop in patients with reduced LV function, but not in patients with normal LV function.
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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".