Management for atrial arrhythmias in adults with complex congenital heart disease
Bibliographic record
Abstract
INTRODUCTION: The prevalence of congenital heart disease (CHD) is steadily increasing among adults. Atrial arrhythmias are frequent late complications and are associated with substantial morbidity. AREAS COVERED: We discuss key considerations regarding management strategies for atrial arrhythmias in common forms of CHD and offer future perspectives. EXPERT OPINION: An appreciation of the types of atrial arrhythmias encountered in patients with diverse forms of CHD, combined with the growing clinical and research experience, appears to be yielding favorable results, whereas little progress has been made on the antiarrhythmic drug front, indications for anticoagulation have considerably evolved. Advances in interventional techniques have propelled catheter ablation to the forefront to treat a variety of atrial arrhythmias in patients with complex CHD. Nevertheless, much work remains to be done to elucidate underlying pathophysiology, triggers, and critical substrates that predispose patients with specific CHD malformations to develop atrial arrhythmias. Future advances could allow for the implementation of individualized, possibly preemptive, approaches to arrhythmia management. With the prevalence of atrial fibrillation on the rise in the aging population with CHD, concerted efforts must be directed toward optimizing patient selection for catheter ablation as well as refining procedural aspects to safely and more effectively improve long-term outcomes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".