Literature DB >> 17585079

Frequent atrial premature beats predict paroxysmal atrial fibrillation in stroke patients: an opportunity for a new diagnostic strategy.

Dieter Wallmann1, David Tüller, Kerstin Wustmann, Pascal Meier, Jörg Isenegger, Marcel Arnold, Heinrich P Mattle, Etienne Delacrétaz.   

Abstract

BACKGROUND AND
PURPOSE: For patients having suffered ischemic stroke, the current diagnostic strategies often fail to detect atrial fibrillation as a potential cause of embolic events. The aim of the study was to identify paroxysmal atrial fibrillation in stroke patients. We hypothesized that patients with frequent atrial premature beats (APBs) recorded in 24-hour ECG will show more often atrial fibrillation when followed by repeated long-term ECG recordings than patients without or infrequent APBs.
METHODS: 127 patients with acute ischemic stroke and without known AF were enrolled in a prospective study to detect paroxysmal AF. Patients were stratified according to the number of APBs recorded in a 24-hour ECG (> or =70 APBs versus <70 APBs). Subsequently, they all underwent serial 7-day event-recorder monitoring at 0, 3, and 6 months.
RESULTS: Serial extended ECG monitoring identified AF in 26% of patients with frequent APBs but only in 6.5% when APBs were infrequent (P=0.0021). A multivariate analysis showed that the presence of frequent APBs in the initial 24-hour ECG was the only independent predictor of paroxysmal AF during follow-up (odds ratio 6.6, 95% confidence intervals 1.6 to 28.2, P=0.01).
CONCLUSIONS: In patients with acute ischemic stroke, frequent APBs (> or = 70/24 hours) are a marker for individuals who are at greater risk to develop or have paroxysmal AF. For such patients, we propose a diagnostic workup with repeated prolonged ECG monitoring to diagnose paroxysmal AF.

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Year:  2007        PMID: 17585079     DOI: 10.1161/STROKEAHA.107.485110

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  39 in total

Review 1.  Detection of atrial fibrillation and secondary stroke prevention using telemetry and ambulatory cardiac monitoring.

Authors:  Hooman Kamel; Wade S Smith
Journal:  Curr Atheroscler Rep       Date:  2011-08       Impact factor: 5.113

2.  Atrial waveform analysis using esophageal long-term electrocardiography reveals atrial ectopic activity.

Authors:  Andreas Haeberlin; Thomas Niederhauser; Hildegard Tanner; Rolf Vogel
Journal:  Clin Res Cardiol       Date:  2012-05-22       Impact factor: 5.460

3.  Summary of evidence-based guideline update: prevention of stroke in nonvalvular atrial fibrillation: report of the Guideline Development Subcommittee of the American Academy of Neurology.

Authors:  Antonio Culebras; Steven R Messé; Seemant Chaturvedi; Carlos S Kase; Gary Gronseth
Journal:  Neurology       Date:  2014-02-25       Impact factor: 9.910

Review 4.  Stroke in younger patients: the heart of the matter.

Authors:  P E Cotter; M Belham; P J Martin
Journal:  J Neurol       Date:  2010-07-11       Impact factor: 4.849

5.  The Evolution and Application of Cardiac Monitoring for Occult Atrial Fibrillation in Cryptogenic Stroke and TIA.

Authors:  Daniel J Miller; Kavit Shah; Sumul Modi; Abhimanyu Mahajan; Salman Zahoor; Muhammad Affan
Journal:  Curr Treat Options Neurol       Date:  2016-04       Impact factor: 3.598

Review 6.  Detection of Atrial Fibrillation in Cryptogenic Stroke.

Authors:  Karl Georg Haeusler; Serdar Tütüncü; Renate B Schnabel
Journal:  Curr Neurol Neurosci Rep       Date:  2018-08-08       Impact factor: 5.081

Review 7.  Paroxysmal Atrial Fibrillation: Novel Strategies for Monitoring and Implications for Treatment in Stroke.

Authors:  Scott B Silverman
Journal:  Curr Treat Options Cardiovasc Med       Date:  2016-08

Review 8.  Advances in the Detection and Monitoring of Atrial Fibrillation for Patients with Cryptogenic Ischemic Stroke.

Authors:  Rajbeer Singh Sangha; Richard Bernstein
Journal:  Curr Atheroscler Rep       Date:  2015-12       Impact factor: 5.113

9.  Unsupervised classification of atrial heartbeats using a prematurity index and wave morphology features.

Authors:  José Luis Rodríguez-Sotelo; D Cuesta-Frau; G Castellanos-Dominguez
Journal:  Med Biol Eng Comput       Date:  2009-01-31       Impact factor: 2.602

10.  Atrial ectopy as a predictor of incident atrial fibrillation: a cohort study.

Authors:  Thomas A Dewland; Eric Vittinghoff; Mala C Mandyam; Susan R Heckbert; David S Siscovick; Phyllis K Stein; Bruce M Psaty; Nona Sotoodehnia; John S Gottdiener; Gregory M Marcus
Journal:  Ann Intern Med       Date:  2013-12-03       Impact factor: 25.391

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