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1. Single beta-blocker or combined amiodarone therapy in ICD and CRT-D patients - Insights from the German DEVICE-registry

3. Amiodarone does not significantly affect the success rate of ventricular fibrillation induction tests performed during or after ICD implantation. Insights from the German DEVICE registry

4. Heart failure, female sex and atrial fibrillation are the main drivers of atrial cardiomyopathy in cardiac surgery patients: results from the CATCH ME consortium

5. Etiological and molecular determinants of atrial endomysial fibrosis: results from the CATCH ME consortium

6. 2022 HRS expert consensus statement on evaluation and management of arrhythmic risk in neuromuscular disorders

7. Enhancing rare variant interpretation in inherited arrhythmias through quantitative analysis of consortium disease cohorts and population controls

8. Device-related complications in the subcutaneous and transvenous ICD: a secondary analysis of the PRAETORIAN trial

9. 2022 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death

10. Device-related complications in subcutaneous versus transvenous ICD: a secondary analysis of the PRAETORIAN trial

11. Replicated gene expression changes in patients with atrial fibrillation

13. RNA-seq profiling of the atrial transcriptome reveals gender-specific patterns and interactions with atrial fibrillation and heart failure

15. EYE-ECG: An RCT of the influence of student characteristics and expert eye-tracking videos with cued retrospective reporting on students’ ECG interpretation skills

17. Continued misuse of orphan drug legislation: a life-threatening risk for mexiletine

18. Subcutaneous or Transvenous Defibrillator Therapy

19. Present criteria for prophylactic ICD implantation:insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project

20. P5662Development of a prognostic model for prevalent atrial fibrillation using individual patient data: Results of CATCH ME

21. Screening for Atrial Fibrillation

23. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

24. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity

25. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals

27. 1075Single chamber implantable cardioverter defibrillator compared to dual chamber implantable cardioverter defibrillator. Less is more. Data from the German Device Registry

29. P6380How to determine the QT interval: comprehensive analysis of a large cohort of Long QT syndrome patients and controls

30. Screening for Atrial Fibrillation

31. Genetic loci associated with heart rate variability and their effects on cardiac disease risk

32. Genetic loci associated with heart rate variability and their effects on cardiac disease risk

33. Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium

34. Fifteen Genetic Loci Associated With the Electrocardiographic P Wave

35. Discovery of novel heart rate-associated loci using the Exome Chip

36. Use of anticoagulants and antiplatelet agents in stable outpatients with coronary artery disease and atrial fibrillation. International CLARIFY registry

37. Gene-gene Interaction Analyses for Atrial Fibrillation

38. Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium

39. Reduction in Inappropriate Therapy and mortality through ICD programming

40. Static and Dynamic Electrocardiographic Patterns Preceding Torsades de Pointes in the Acquired and Congenital Long QT Syndrome

42. Risk stratification for sudden cardiac death: current status and challenges for the future

44. Worldwide experience with a totally subcutaneous implantable defibrillator: Early results from the EFFORTLESS S-ICD Registry

46. Risk stratification for sudden cardiac death: current status and challenges for the future

47. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders

48. Independent Susceptibility Markers for Atrial Fibrillation on Chromosome 4q25

49. Genome-Wide Association Analysis Identifies 3 Common Variants Predisposing to Brugada Syndrome, a Rare Disease with High Risk of Sudden Cardiac Death

50. CAPON is a Novel QT-Interval Modifier Gene with Gender Dependent Effect Identified through Genomewide Association Analysis in Individuals from the General Population

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