Literature DB >> 9509250

Pathophysiology of atrial flutter.

E G Daoud1, F Morady.   

Abstract

Atrial flutter is a macroreentrant tachyarrhythmia most often contained within the right atrium. Typical atrial flutter is defined on an electrocardiogram by the classic "sawtooth" pattern of flutter waves with negative polarity in leads II, III, and aVF. In contrast to atrial fibrillation, which is sustained by multiple reentrant wavelets defined by anatomic and/or functional barriers, typical atrial flutter is sustained by a single reentrant circuit defined by anatomical barriers. The isthmus of atrial tissue bordered by the inferior vena cava and the tricuspid annulus forms a critical zone of slow conduction in the reentry circuit of atrial flutter. The goal of radiofrequency catheter ablation is to create a line of conduction block across this isthmus. This line of block interrupts the flutter circuit and often provides long-term freedom from recurrence.

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Year:  1998        PMID: 9509250     DOI: 10.1146/annurev.med.49.1.77

Source DB:  PubMed          Journal:  Annu Rev Med        ISSN: 0066-4219            Impact factor:   13.739


  5 in total

1.  Modelling and imaging cardiac repolarization abnormalities.

Authors:  Y Rudy
Journal:  J Intern Med       Date:  2006-01       Impact factor: 8.989

Review 2.  Management of Supraventricular Tachycardia in Infants.

Authors:  Chalese Richardson; Eric S Silver
Journal:  Paediatr Drugs       Date:  2017-12       Impact factor: 3.022

3.  Conduction velocity around the tricuspid valve annulus during type 1 atrial flutter: defining the location of areas of slow conduction by three-dimensional electroanatomical mapping.

Authors:  Alborz Hassankhani; Biguang Yao; Gregory K Feld
Journal:  J Interv Card Electrophysiol       Date:  2003-04       Impact factor: 1.900

4.  Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia.

Authors:  Charulatha Ramanathan; Raja N Ghanem; Ping Jia; Kyungmoo Ryu; Yoram Rudy
Journal:  Nat Med       Date:  2004-03-14       Impact factor: 53.440

5.  Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier.

Authors:  Irena Jekova; Ivaylo Christov; Vessela Krasteva
Journal:  Sensors (Basel)       Date:  2022-08-14       Impact factor: 3.847

  5 in total

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