Atrial fibrillation density: A novel measure of atrial fibrillation temporal aggregation for the characterization of atrial fibrillation recurrence pattern

Aim: The atrial fibrillation (AF) burden presents a step towards a quantitative approach to AF, however, the temporal distribution of AF episodes over time cannot be expressed with the AF burden alone. We present the concept of AF density, a novel measure to evaluate and describe the temporal pattern of AF recurrence. Methods: AF episodes and rhythm histories captured by continuous monitoring devices in a large collective of 647 patients with AF were evaluated and reconstructed. Results: For the calculation of the AF density, the minimum time required to develop each proportion of the patient’s total burden is calculated. AF density is defined as the ratio of the cumulative deviation of the patient’s actual burden development from the hypothetical uniform burden development to that of the hypothetical maximum possible burden aggregation for that level of burden from the hypothetical uniform burden development. The AF density as the ratio of the above mentioned areas is a dimensionless quantity and assumes values between 0 and 1, with values close to 0 denoting low burden aggregation, whereas values close to 1 denoting maximal burden temporal aggregation. Conclusions: We present a methodology that evaluates the temporal distribution pattern of AF recurrence which may aid, together with the AF burden, to a better classification and description of AF recurrence patterns. The latter may be of interest in the evaluation of the risk of thromboembolism that AF patients face. Larger studies are required to investigate if AF density can influence patient specific outcomes.

[1]  Christopher E Hilker,et al.  Incidence of Newly Detected Atrial Arrhythmias via Implantable Devices in Patients With a History of Thromboembolic Events , 2010, Stroke.

[2]  H. Sievers,et al.  A Comprehensive Evaluation of Rhythm Monitoring Strategies for the Detection of Atrial Fibrillation Recurrence: Insights From 647 Continuously Monitored Patients and Implications for Monitoring After Therapeutic Interventions , 2012, Circulation.

[3]  M. Misfeld,et al.  Twenty-Four–Hour Holter Monitor Follow-Up Does Not Provide Accurate Heart Rhythm Status After Surgical Atrial Fibrillation Ablation Therapy: Up to 12 Months Experience With a Novel Permanently Implantable Heart Rhythm Monitor Device , 2009, Circulation.

[4]  G. Lamas,et al.  Atrial High Rate Episodes Detected by Pacemaker Diagnostics Predict Death and Stroke: Report of the Atrial Diagnostics Ancillary Study of the MOde Selection Trial (MOST) , 2003, Circulation.

[5]  Rahul Mehra,et al.  Comparison of continuous versus intermittent monitoring of atrial arrhythmias. , 2006, Heart rhythm.

[6]  G. Lamas How much atrial fibrillation is too much atrial fibrillation? , 2012, The New England journal of medicine.

[7]  Dongfeng Qi,et al.  The Relationship Between Daily Atrial Tachyarrhythmia Burden From Implantable Device Diagnostics and Stroke Risk: The TRENDS Study , 2009, Circulation. Arrhythmia and electrophysiology.

[8]  Massimo Santini,et al.  Monitored atrial fibrillation duration predicts arterial embolic events in patients suffering from bradycardia and atrial fibrillation implanted with antitachycardia pacemakers. , 2005, Journal of the American College of Cardiology.

[9]  Christopher E Hilker,et al.  Temporal relationship of atrial tachyarrhythmias, cerebrovascular events, and systemic emboli based on stored device data: a subgroup analysis of TRENDS. , 2011, Heart rhythm.

[10]  S. Sack,et al.  Detection of atrial high-rate events by continuous Home Monitoring: clinical significance in the heart failure–cardiac resynchronization therapy population , 2011, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[11]  A. Capucci,et al.  Subclinical atrial fibrillation and the risk of stroke. , 2012, The New England journal of medicine.