Literature DB >> 22824434

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.

Efstratios I Charitos1, Ulrich Stierle, Paul D Ziegler, Malte Baldewig, Derek R Robinson, Hans-Hinrich Sievers, Thorsten Hanke.   

Abstract

BACKGROUND: Intermittent rhythm monitoring (IRM) to detect atrial fibrillation (AF) recurrence is employed to evaluate the success of therapeutic interventions. In a large population of patients with continuous monitoring (CM), we investigated the sensitivity of various frequencies and durations of IRM strategies on the detection of AF recurrence, the dynamics behind AF recurrence detection, and we describe measures to evaluate temporal AF recurrence. METHODS AND
RESULTS: Rhythm histories of 647 patients (mean AF burden, 0.12±0.22; median, 0.014; 687 patient-years) with implantable CM devices were reconstructed and analyzed. With the use of computationally intensive simulation, the sensitivity of IRM of various frequencies and durations on the identification of AF recurrence was evaluated. Prolonged-duration IRM was superior to shorter IRM (P<0.0001). However, even with aggressive IRM strategies, AF recurrence was not detected in a great proportion of patients. The temporal AF burden aggregation (AF density) was directly related to IRM sensitivity (P<0.0001). Even at similar AF burdens, patients with high-density AF required higher-frequency or prolonged-duration IRM to achieve the same sensitivity as in low-density AF (P<0.0001). Patients with high-density, low-burden AF benefit the most from CM for detection of AF recurrence.
CONCLUSIONS: IRM follow-up is significantly inferior to CM. IRM strategies will not identify AF recurrence in a great proportion of patients at risk. Temporal AF characteristics play a significant role in AF recurrence detection with the use of IRM. For the scientific, evidence-based evaluation of AF treatments, CM should be strongly recommended. Prospective studies are required to evaluate whether CM to guide clinical management can also improve patient outcomes. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00806689.

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Year:  2012        PMID: 22824434     DOI: 10.1161/CIRCULATIONAHA.112.098079

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  51 in total

1.  Frequency analysis of atrial action potential alternans: a sensitive clinical index of individual propensity to atrial fibrillation.

Authors:  Gautam G Lalani; Amir A Schricker; Paul Clopton; David E Krummen; Sanjiv M Narayan
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-08-31

2.  Targeted ablation at stable atrial fibrillation sources improves success over conventional ablation in high-risk patients: a substudy of the CONFIRM Trial.

Authors:  Tina Baykaner; Paul Clopton; Gautam G Lalani; Amir A Schricker; David E Krummen; Sanjiv M Narayan
Journal:  Can J Cardiol       Date:  2013-08-30       Impact factor: 5.223

3.  Implantable loop recorder monitoring after concomitant surgical ablation for atrial fibrillation (AF): insights from more than 200 continuously monitored patients.

Authors:  Simon Pecha; Muhammet Ali Aydin; Teymour Ahmadzade; Friederike Hartel; Boris Hoffmann; Daniel Steven; Stephan Willems; Hermann Reichenspurner; Florian Mathias Wagner
Journal:  Heart Vessels       Date:  2015-08-29       Impact factor: 2.037

4.  [Diagnosis of atrial fibrillation. From the standard ECG to analysis of electrograms].

Authors:  Malte Meesmann
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2013-06

Review 5.  Electrophysiological Evaluation of Thoracoscopic Pulmonary Vein Isolation.

Authors:  Joris R de Groot; Wouter R Berger; Sébastien P J Krul; WimJan van Boven; Sacha P Salzberg; Antoine H G Driessen
Journal:  J Atr Fibrillation       Date:  2013-10-31

6.  Impact of atrial fibrillation detected by extended monitoring-A population-based cohort study.

Authors:  Mathias C Busch; Stefan Gross; Dietrich Alte; Jan A Kors; Henry Völzke; Till Ittermann; André Werner; Anne Krüger; Raila Busch; Marcus Dörr; Stephan B Felix
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-04-25       Impact factor: 1.468

7.  Atrial fibrillation variability on long-term monitoring of implantable cardiac rhythm management devices.

Authors:  Rachel M Kaplan; Paul D Ziegler; Jodi Koehler; Taya V Glotzer; Rod S Passman
Journal:  Clin Cardiol       Date:  2017-08-11       Impact factor: 2.882

8.  CrossTalk proposal: Rotors have been demonstrated to drive human atrial fibrillation.

Authors:  Sanjiv M Narayan; José Jalife
Journal:  J Physiol       Date:  2014-08-01       Impact factor: 5.182

Review 9.  New approaches to managing nonvalvular atrial fibrillation: what are the thromboembolic implications?

Authors:  Peter J Kudenchuk
Journal:  J Thromb Thrombolysis       Date:  2015-04       Impact factor: 2.300

Review 10.  Genetic mechanisms of atrial fibrillation: impact on response to treatment.

Authors:  Dawood Darbar; Dan M Roden
Journal:  Nat Rev Cardiol       Date:  2013-04-16       Impact factor: 32.419

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