Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography

Differential diagnosis of supraventricular tachycardia (SVT) and ventricular tachycardia (VT) is of paramount importance for appropriate patient management. Several diagnostic algorithms for discrimination of VT and SVT based on surface electrocardiogram (ECG) analysis have been proposed. Following...

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Autores principales: Leandro, Heber Ivan Condori, Lebedev, Dmitry S, Mikhaylov, Evgeny N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503474/
https://www.ncbi.nlm.nih.gov/pubmed/31105757
http://dx.doi.org/10.11909/j.issn.1671-5411.2019.04.008
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author Leandro, Heber Ivan Condori
Lebedev, Dmitry S
Mikhaylov, Evgeny N
author_facet Leandro, Heber Ivan Condori
Lebedev, Dmitry S
Mikhaylov, Evgeny N
author_sort Leandro, Heber Ivan Condori
collection PubMed
description Differential diagnosis of supraventricular tachycardia (SVT) and ventricular tachycardia (VT) is of paramount importance for appropriate patient management. Several diagnostic algorithms for discrimination of VT and SVT based on surface electrocardiogram (ECG) analysis have been proposed. Following established diagnosis of VT, a specific origination tachycardia site can be supposed according to QRS complex characteristics. This review aims to cover comprehensive and comparative description of the main VT diagnostic algorithms and to present ECG characteristics which permit to suggest the most common VT origination sites.
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spelling pubmed-65034742019-05-17 Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography Leandro, Heber Ivan Condori Lebedev, Dmitry S Mikhaylov, Evgeny N J Geriatr Cardiol Review Differential diagnosis of supraventricular tachycardia (SVT) and ventricular tachycardia (VT) is of paramount importance for appropriate patient management. Several diagnostic algorithms for discrimination of VT and SVT based on surface electrocardiogram (ECG) analysis have been proposed. Following established diagnosis of VT, a specific origination tachycardia site can be supposed according to QRS complex characteristics. This review aims to cover comprehensive and comparative description of the main VT diagnostic algorithms and to present ECG characteristics which permit to suggest the most common VT origination sites. Science Press 2019-04 /pmc/articles/PMC6503474/ /pubmed/31105757 http://dx.doi.org/10.11909/j.issn.1671-5411.2019.04.008 Text en Institute of Geriatric Cardiology http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.
spellingShingle Review
Leandro, Heber Ivan Condori
Lebedev, Dmitry S
Mikhaylov, Evgeny N
Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
title Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
title_full Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
title_fullStr Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
title_full_unstemmed Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
title_short Discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
title_sort discrimination of ventricular tachycardia and localization of its exit site using surface electrocardiography
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503474/
https://www.ncbi.nlm.nih.gov/pubmed/31105757
http://dx.doi.org/10.11909/j.issn.1671-5411.2019.04.008
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