Literature DB >> 23770069

Characteristics of atrial fibrillation cycle length predict restoration of sinus rhythm by catheter ablation.

Luigi Yuri Di Marco1, Daniel Raine, John P Bourke, Philip Langley.   

Abstract

BACKGROUND: Successful termination of atrial fibrillation (AF) during catheter ablation (CA) is associated with arrhythmia-free follow-up. Preablation factors such as mean atrial fibrillation cycle length (AFCL) predict the likelihood of AF termination during ablation but recurring patterns and AFCL stability have not been evaluated.
OBJECTIVE: To investigate novel predictors of acute and postoperative ablation outcomes from intracardiac electrograms: (1) recurring AFCL patterns and (2) localization index (LI) of the instantaneous fibrillatory rate distribution.
METHODS: Sixty-two patients with AF (32 paroxysmal AF; 45 men; age 57 ± 10 years) referred for CA were enrolled. One-minute electrogram was recorded from coronary sinus (CS; 5 bipoles) and right atrial appendage (HRA; 2 bipoles). Atrial activations were detected automatically to derive the AFCL and instantaneous fibrillatory rate (inverse of AFCL) time series. Recurring AFCL patterns were quantified by using recurrence plot indices (RPIs): percentage determinism, entropy of determinism, and maximum diagonal length. AFCL stability was determined by using the LI. The CA outcome predictivity of individual indices was assessed.
RESULTS: Patients with terminated atrial fibrillation (T-AF) had higher RPI (P < .05 in CS7-8) and LI than did those with nonterminated atrial fibrillation (P < .005 in CS3-4; P < .05 in CS5-6, CS7-8, and HRA). Patients free of arrhythmia after 3-month follow-up had higher RPI and LI (all P < .05 in CS7-8). All indices except percentage determinism predicted T-AF in CS7-8 (area under the curve [AUC] ≥ 0.71; odds ratio [OR] ≥ 4.50; P < .05). The median AFCL and LI predicted T-AF in HRAD (AUC ≥ 0.75; OR ≥ 7.76; P < .05). The RPI and LI predicted 3-month follow-up in CS7-8 (AUC ≥ 0.68; OR ≥ 4.17; P < .05).
CONCLUSIONS: AFCL recurrence and stability indices could be used in selecting patients more likely to benefit from CA.
Copyright © 2013 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AF; AFCL; AUC; Atrial fibrillation; CFAE; CS; EF; EGM; ER; Electrogram segmentation; HRA; IFR; Instantaneous fibrillatory rate distribution; L(MAX); LA; LI; Localization index; NT-AF; OI; OR; PD; PVI; ROC; RQA; Recurrence quantification analysis; SR; T-AF; area under the curve; atrial fibrillation; atrial fibrillation cycle length; complex fractionated atrial electrogram; coronary sinus; ejection fraction; electrogram; entropy of recurrence; higher right atrium; instantaneous fibrillatory rate; left atrial; localization index; maximum diagonal length; nonterminated atrial fibrillation; odds ratio; organization index; percentage determinism; pulmonary vein isolation; receiver operating characteristic; recurrence quantification analysis; sinus rhythm; terminated atrial fibrillation

Mesh:

Year:  2013        PMID: 23770069     DOI: 10.1016/j.hrthm.2013.06.007

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  7 in total

1.  Atrial electrogram discordance during baseline vs reinduced atrial fibrillation: Potential ramifications for ablation procedures.

Authors:  Angelo B Biviano; Edward J Ciaccio; Robert Knotts; Jessica Fleitman; John Lawrence; Vivek Iyer; William Whang; Hasan Garan
Journal:  Heart Rhythm       Date:  2015-03-26       Impact factor: 6.343

2.  The Relevance of Heart Rate Fluctuation When Evaluating Atrial Substrate Electrical Features in Catheter Ablation of Paroxysmal Atrial Fibrillation.

Authors:  Aikaterini Vraka; José Moreno-Arribas; Juan M Gracia-Baena; Fernando Hornero; Raúl Alcaraz; José J Rieta
Journal:  J Cardiovasc Dev Dis       Date:  2022-06-01

3.  Electrogram morphology recurrence patterns during atrial fibrillation.

Authors:  Jason Ng; David Gordon; Rod S Passman; Bradley P Knight; Rishi Arora; Jeffrey J Goldberger
Journal:  Heart Rhythm       Date:  2014-08-05       Impact factor: 6.343

4.  Novel Low-Voltage MultiPulse Therapy to Terminate Atrial Fibrillation.

Authors:  Fu Siong Ng; Ondřej Toman; Jan Petru; Petr Peichl; Roger A Winkle; Vivek Y Reddy; Petr Neuzil; R Hardwin Mead; Norman A Qureshi; Zachary I Whinnett; David W Bourn; M Brent Shelton; Josef Kautzner; Arjun D Sharma; Meleze Hocini; Michel Haïssaguerre; Nicholas S Peters; Igor R Efimov
Journal:  JACC Clin Electrophysiol       Date:  2021-03-31

5.  Focal impulse and rotor modulation of atrial rotors during atrial fibrillation leads to organization of left atrial activation as reflected by waveform morphology recurrence quantification analysis and organizational index.

Authors:  Peter R Liu; Daniel J Friedman; Adam S Barnett; Kevin P Jackson; James P Daubert; Jonathan P Piccini
Journal:  J Arrhythm       Date:  2020-02-24

6.  Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation.

Authors:  Yann Prudat; Adrian Luca; Sasan Yazdani; Nicolas Derval; Pierre Jaïs; Laurent Roten; Benjamin Berte; Etienne Pruvot; Jean-Marc Vesin; Patrizio Pascale
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-28       Impact factor: 3.298

7.  The Dissimilar Impact in Atrial Substrate Modificationof Left and Right Pulmonary Veins Isolation after Catheter Ablation of Paroxysmal Atrial Fibrillation.

Authors:  Aikaterini Vraka; Vicente Bertomeu-González; Lorenzo Fácila; José Moreno-Arribas; Raúl Alcaraz; José J Rieta
Journal:  J Pers Med       Date:  2022-03-14
  7 in total

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