Literature DB >> 23449925

Non-invasive identification of stable rotors and focal sources for human atrial fibrillation: mechanistic classification of atrial fibrillation from the electrocardiogram.

Aled R Jones1, David E Krummen, Sanjiv M Narayan.   

Abstract

AIMS: To develop electrocardiogram (ECG) tools to quantify the number of sources for atrial fibrillation (AF), i.e. spatially stable rotors and focal impulses, and whether they lie in right or left atrium. Intracardiac mapping has recently shown that paroxysmal and persistent AF is sustained by rotors or focal sources that are stable in location and thus targets for limited ablation [focal impulse and rotor modulation (FIRM)] to eliminate AF. Importantly, the numbers and locations of concurrent sources determine both the complexity of AF and the approach for ablation. METHODS AND
RESULTS: In 36 AF patients (n = 29 persistent, 63 ± 9 years) in the CONventional ablation with or without Focal Impulse and Rotor Modulation (CONFIRM) trial, we developed phase lock (PL) to quantify spatial repeatability of ECG 'F-waves' between leads over time. Phase lock spectrally quantifies the angle θ between F-wave voltages in planes formed by ECG leads I, aVF, and V1 at successive points in time. We compared PL with ECG spectral dominant frequency (DF) and organizational index (OI) to characterize stable rotors and focal sources validated by intracardiac FIRM mapping. Focal impulse and rotor modulation ablation alone at ≤3 sources acutely terminated and rendered AF non-inducible or substantially slowed AF in 31 of 36 patients. Receiver operating characteristics of PL for this endpoint had area under the curve (AUC) = 0.72, and the optimum cut-point (PL = 0.09) had 74% sensitivity, 92% positive predictive value (PPV). Receiver operating characteristics areas for OI and DF were 0.50 and 0.58, respectively. Left (n = 28) or right (n = 3) atrial sources were localized by PL with AUC = 0.85, sensitivity 100%, PPV 30%, and negative predictive value 100%. Spectral DF provided AUC = 0.79. Notably, PL did not comigrate with diagnosis of paroxysmal or persistent AF (P = NS), unlike ECG DF.
CONCLUSION: The novel metric of ECG PL identifies patients with fewer (≤3) or greater numbers of stable rotors/focal sources for AF, validated by intracardiac FIRM mapping, and localized them to right or left atria. These data open the possibility of using 12-lead ECG analyses to classify AF mechanistically and plan procedures for right- or left-sided FIRM ablation.

Entities:  

Keywords:  Ablation; Atrial fibrillation; ECG; Human; Rotors; Sources

Mesh:

Year:  2013        PMID: 23449925      PMCID: PMC3753059          DOI: 10.1093/europace/eut038

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  37 in total

1.  Electrophysiological characteristics and catheter ablation in patients with paroxysmal right atrial fibrillation.

Authors:  Yenn-Jiang Lin; Ching-Tai Tai; Tsair Kao; Han-Wen Tso; Jin-Long Huang; Satoshi Higa; Yoga Yuniadi; Bien-Hsien Huang; Tu-Ying Liu; Pi-Chang Lee; Ming-Hsiung Hsieh; Shih-Ann Chen
Journal:  Circulation       Date:  2005-09-12       Impact factor: 29.690

2.  Separating atrial flutter from atrial fibrillation with apparent electrocardiographic organization using dominant and narrow F-wave spectra.

Authors:  Bobbi L Hoppe; Andrew M Kahn; Gregory K Feld; Alborz Hassankhani; Sanjiv M Narayan
Journal:  J Am Coll Cardiol       Date:  2005-11-09       Impact factor: 24.094

3.  Validation of the noncontact mapping system in the left atrium during permanent atrial fibrillation and sinus rhythm.

Authors:  Mark J Earley; Dominic J R Abrams; Simon C Sporton; Richard J Schilling
Journal:  J Am Coll Cardiol       Date:  2006-07-12       Impact factor: 24.094

4.  Separating non-isthmus- from isthmus-dependent atrial flutter using wavefront variability.

Authors:  Sanjiv M Narayan; Alborz Hassankhani; Gregory K Feld; Valmik Bhargava
Journal:  J Am Coll Cardiol       Date:  2005-04-19       Impact factor: 24.094

5.  Evaluating fluctuations in human atrial fibrillatory cycle length using monophasic action potentials.

Authors:  Sanjiv M Narayan; David E Krummen; Andrew M Kahn; Pamela L Karasik; Michael R Franz
Journal:  Pacing Clin Electrophysiol       Date:  2006-11       Impact factor: 1.976

6.  Mapping of atrial activation during sustained atrial fibrillation in dogs with rapid ventricular pacing induced heart failure: evidence for a role of driver regions.

Authors:  Kyungmoo Ryu; Sunil C Shroff; Jayakumar Sahadevan; Nichole L Martovitz; Celeen M Khrestian; Bruce S Stambler
Journal:  J Cardiovasc Electrophysiol       Date:  2005-12

7.  Surface atrial frequency analysis in patients with atrial fibrillation: assessing the effects of linear left atrial ablation.

Authors:  Dan Raine; Philip Langley; Alan Murray; Stephen S Furniss; John P Bourke
Journal:  J Cardiovasc Electrophysiol       Date:  2005-08

8.  Using electrocardiographic activation time and diastolic intervals to separate focal from macro-re-entrant atrial tachycardias.

Authors:  Jason P Brown; David E Krummen; Gregory K Feld; Sanjiv M Narayan
Journal:  J Am Coll Cardiol       Date:  2007-04-30       Impact factor: 24.094

9.  Characteristics of cavotricuspid isthmus-dependent atrial flutter after left atrial ablation of atrial fibrillation.

Authors:  Aman Chugh; Rakesh Latchamsetty; Hakan Oral; Darryl Elmouchi; David Tschopp; Scott Reich; Petar Igic; Tammy Lemerand; Eric Good; Frank Bogun; Frank Pelosi; Fred Morady
Journal:  Circulation       Date:  2006-02-07       Impact factor: 29.690

10.  Long-term progression and outcomes with aging in patients with lone atrial fibrillation: a 30-year follow-up study.

Authors:  Arshad Jahangir; Victor Lee; Paul A Friedman; Jane M Trusty; David O Hodge; Stephen L Kopecky; Douglas L Packer; Stephen C Hammill; Win-Kuang Shen; Bernard J Gersh
Journal:  Circulation       Date:  2007-06-04       Impact factor: 29.690

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  2 in total

1.  Convolutional Neural Networks for Mechanistic Driver Detection in Atrial Fibrillation.

Authors:  Gonzalo Ricardo Ríos-Muñoz; Francisco Fernández-Avilés; Ángel Arenal
Journal:  Int J Mol Sci       Date:  2022-04-11       Impact factor: 6.208

Review 2.  Electrophysiological Perspectives on Hybrid Ablation of Atrial Fibrillation.

Authors:  Faisal F Syed; Hakan Oral
Journal:  J Atr Fibrillation       Date:  2015-12-31
  2 in total

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