Reverse atrial electrical remodelling following atrial defibrillation as determined by signal-averaged ECG.
Bibliographic record
Abstract
BACKGROUND: Following successful cardioversion for atrial fibrillation (AF), the rate of early recurrence remains high. Analysis of the signal-averaged electrocardiogram of the P wave has been proposed as a noninvasive method of predicting those at risk of recurrence. PURPOSE: To determine the change in signal-averaged P wave duration (SAPWD) following cardioversion from AF, and to determine whether SAPWD is associated with the risk of recurrence. METHODS: SAPWD was determined in 76 patients immediately following successful electrical cardioversion and three days later. Patients were then followed clinically for one year. RESULTS: Recurrent AF was observed in 32 of 76 patients at 90 days following cardioversion. There was no difference in SAPWD immediately following cardioversion (158+/-28 ms versus 164+/-31 ms, P=NS) or three days following cardioversion (152+/-24 ms versus 158+/-36 ms, P=0.4) in patients with and without recurrent AF. There was, however, a significant decrease in the SAPWD during the first three days following cardioversion in the patients who remained in sinus rhythm (158+/-28 ms initially versus 152+/-24 ms on day three, P=0.009). Among the patients with recurrent AF, the decrease was smaller and not statistically significant (161+/-30 ms versus 158+/-36 ms, P=0.3). CONCLUSION: Shortening of the SAPWD occurs following atrial defibrillation in patients who maintain sinus rhythm at 90 days. This provides evidence for reverse atrial electrical remodelling and its association with the maintenance of sinus rhythm.
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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".