Ventricular arrhythmias and sudden cardiac death in adults with congenital heart disease
Bibliographic record
Abstract
Remarkable gains in survival have led to an unprecedented number of adults with congenital heart disease. Arrhythmias collectively comprise the most common complication encountered. Recognising the unique issues and challenges involved in managing arrhythmias in adults with congenital heart disease and the consequential decisions surrounding sudden death prevention, expert societies have proposed evidence-based recommendations. On the whole, acute ventricular arrhythmias are managed according to general cardiology guidelines, while taking into consideration congenital heart disease-specific issues, such as positioning of patches or paddles according to location of the heart. Implantable cardioverter-defibrillators (ICDs) are indicated for secondary prevention in patients with sustained ventricular tachycardia or resuscitated cardiac arrest in the absence of a reversible cause. Pharmacological therapy and catheter ablation can be effective in reducing recurrent ICD shocks. Risk-benefit assessment for primary prevention ICDs is a major challenge. Although a clearer picture has emerged of the high-risk patient with tetralogy of Fallot, ICD indications for those with systemic right ventricles or univentricular hearts remain contentious. Challenges to ICD implantation include obstructed veins, conduits and baffles, atrioventricular valve disease and intracardiac shunts. In selected patients, customised systems with epicardial and/or subcutaneous coils may represent a viable solution. Alternatively, the subcutaneous ICD is an attractive option for patients in whom transvenous access is not feasible or desirable and in whom bradycardia and antitachycardia pacing features are not essential. Continued advances in risk stratification and device technologies carry the potential to further improve efficacy and safety outcomes in this growing population of patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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 teacher head, 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".