Personalized monitoring of electrical remodelling during atrial fibrillation progression via remote transmissions from implantable devices
José María Lillo-Castellano, Juan José González-Ferrer, Manuel Marina-Breysse, José Bautista Martínez-Ferrer, Luisa Pérez-Álvarez, Javier Alzueta, Juan Gabriel Martínez, Aníbal Rodríguez, Juan Carlos Rodríguez-Pérez, Ignasi Anguera, Xavier Viñolas, Arcadio García-Alberola, Jorge G Quintanilla, José Manuel Alfonso-Almazán, Javier García, Luis Borrego, Victoria Cañadas-Godoy, Nicasio Pérez-Castellano, Julián Pérez-Villacastín, Javier Jiménez-Díaz, José Jalife, David Filgueiras-Rama, José María Lillo-Castellano, Juan José González-Ferrer, Manuel Marina-Breysse, José Bautista Martínez-Ferrer, Luisa Pérez-Álvarez, Javier Alzueta, Juan Gabriel Martínez, Aníbal Rodríguez, Juan Carlos Rodríguez-Pérez, Ignasi Anguera, Xavier Viñolas, Arcadio García-Alberola, Jorge G Quintanilla, José Manuel Alfonso-Almazán, Javier García, Luis Borrego, Victoria Cañadas-Godoy, Nicasio Pérez-Castellano, Julián Pérez-Villacastín, Javier Jiménez-Díaz, José Jalife, David Filgueiras-Rama
Abstract
Aims: Atrial electrical remodelling (AER) is a transitional period associated with the progression and long-term maintenance of atrial fibrillation (AF). We aimed to study the progression of AER in individual patients with implantable devices and AF episodes.
Methods and results: Observational multicentre study (51 centres) including 4618 patients with implantable cardioverter-defibrillator +/-resynchronization therapy (ICD/CRT-D) and 352 patients (2 centres) with pacemakers (median follow-up: 3.4 years). Atrial activation rate (AAR) was quantified as the frequency of the dominant peak in the signal spectrum of AF episodes with atrial bipolar electrograms. Patients with complete progression of AER, from paroxysmal AF episodes to electrically remodelled persistent AF, were used to depict patient-specific AER slopes. A total of 34 712 AF tracings from 830 patients (87 with pacemakers) were suitable for the study. Complete progression of AER was documented in 216 patients (16 with pacemakers). Patients with persistent AF after completion of AER showed ∼30% faster AAR than patients with paroxysmal AF. The slope of AAR changes during AF progression revealed patient-specific patterns that correlated with the time-to-completion of AER (R2 = 0.85). Pacemaker patients were older than patients with ICD/CRT-Ds (78.3 vs. 67.2 year olds, respectively, P < 0.001) and had a shorter median time-to-completion of AER (24.9 vs. 93.5 days, respectively, P = 0.016). Remote transmissions in patients with ICD/CRT-D devices enabled the estimation of the time-to-completion of AER using the predicted slope of AAR changes from initiation to completion of electrical remodelling (R2 = 0.45).
Conclusion: The AF progression shows patient-specific patterns of AER, which can be estimated using available remote-monitoring technology.
Keywords: Atrial fibrillation; Atrial fibrillation progression; Electrical remodeling; Implantable cardioverter-defibrillator; Mobile health; Telemedicine; eHealth.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.
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References
- Kim MH, Johnston SS, Chu BC, Dalal MR, Schulman KL.. Estimation of total incremental health care costs in patients with atrial fibrillation in the United States. Circ Cardiovasc Qual Outcomes 2011;4:313–20.
- Weng LC, Preis SR, Hulme OL, Larson MG, Choi SH, Wang B. et al. Genetic predisposition, clinical risk factor burden, and lifetime risk of atrial fibrillation. Circulation 2018;137:1027–38.
- Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B. et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Europace 2016;18:1609–78.
- Isa R, Villacastin J, Moreno J, Perez-Castellano N, Salinas J, Doblado M. et al. Differentiating between atrial flutter and atrial fibrillation using right atrial bipolar endocardial signals. Rev Esp Cardiol 2007;60:104–9.
- de Vos CB, Pisters R, Nieuwlaat R, Prins MH, Tieleman RG, Coelen RJ. et al. Progression from paroxysmal to persistent atrial fibrillation clinical correlates and prognosis. J Am Coll Cardiol 2010;55:725–31.
- Martins RP, Kaur K, Hwang E, Ramirez RJ, Willis BC, Filgueiras-Rama D. et al. Dominant frequency increase rate predicts transition from paroxysmal to long-term persistent atrial fibrillation. Circulation 2014;129:1472–82.
- Takemoto Y, Ramirez RJ, Yokokawa M, Kaur K, Ponce-Balbuena D, Sinno MC. et al. Galectin-3 regulates atrial fibrillation remodeling and predicts catheter ablation outcomes. JACC Basic Transl Sci 2016;1:143–54.
- Quintanilla JG, Alfonso-Almazan JM, Perez-Castellano N, Pandit SV, Jalife J, Perez-Villacastin J. et al. Instantaneous amplitude and frequency modulations detect the footprint of rotational activity and reveal stable driver regions as targets for persistent atrial fibrillation ablation. Circ Res 2019;125:609–27.
- Yoshida K, Ulfarsson M, Oral H, Crawford T, Good E, Jongnarangsin K. et al. Left atrial pressure and dominant frequency of atrial fibrillation in humans. Heart Rhythm 2011;8:181–7.
- Geske JB, Sorajja P, Nishimura RA, Ommen SR.. Evaluation of left ventricular filling pressures by Doppler echocardiography in patients with hypertrophic cardiomyopathy: correlation with direct left atrial pressure measurement at cardiac catheterization. Circulation 2007;116:2702–8.
- Kyhl K, Vejlstrup N, Lonborg J, Treiman M, Ahtarovski KA, Helqvist S. et al. Predictors and prognostic value of left atrial remodelling after acute myocardial infarction. Open Heart 2015;2:e000223..
- Swartz MF, Fink GW, Lutz CJ, Taffet SM, Berenfeld O, Vikstrom KL. et al. Left versus right atrial difference in dominant frequency, K(+) channel transcripts, and fibrosis in patients developing atrial fibrillation after cardiac surgery. Heart Rhythm 2009;6:1415–22.
- Zlochiver S, Munoz V, Vikstrom KL, Taffet SM, Berenfeld O, Jalife J.. Electrotonic myofibroblast-to-myocyte coupling increases propensity to reentrant arrhythmias in two-dimensional cardiac monolayers. Biophys J 2008;95:4469–80.
- Lankveld T, de Vos CB, Limantoro I, Zeemering S, Dudink E, Crijns HJ. et al. Systematic analysis of ECG predictors of sinus rhythm maintenance after electrical cardioversion for persistent atrial fibrillation. Heart Rhythm 2016;13:1020–7.
- Bollmann A, Binias KH, Toepffer I, Molling J, Geller C, Klein HU.. Importance of left atrial diameter and atrial fibrillatory frequency for conversion of persistent atrial fibrillation with oral flecainide. Am J Cardiol 2002;90:1011–4.
- Lankveld T, Zeemering S, Scherr D, Kuklik P, Hoffmann BA, Willems S. et al. Atrial fibrillation complexity parameters derived from surface ECGs predict procedural outcome and long-term follow-up of stepwise catheter ablation for atrial fibrillation. Circ Arrhythm Electrophysiol 2016;9:e003354..
- Piccini JP, Mittal S, Snell J, Prillinger JB, Dalal N, Varma N.. Impact of remote monitoring on clinical events and associated health care utilization: a nationwide assessment. Heart Rhythm 2016;13:2279–86.
- Reiffel JA, Verma A, Kowey PR, Halperin JL, Gersh BJ, Wachter R. et al. Incidence of previously undiagnosed atrial fibrillation using insertable cardiac monitors in a high-risk population: the REVEAL AF study. JAMA Cardiol 2017;2:1120–7.
- Oral H, Chugh A, Good E, Wimmer A, Dey S, Gadeela N. et al. Radiofrequency catheter ablation of chronic atrial fibrillation guided by complex electrograms. Circulation 2007;115:2606–12.
- Kuklik P, Zeemering S, Maesen B, Maessen J, Crijns HJ, Verheule S. et al. Reconstruction of instantaneous phase of unipolar atrial contact electrogram using a concept of sinusoidal recomposition and Hilbert transform. IEEE Trans Biomed Eng 2015;62:296–302.
Source: PubMed