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The relationship between ECG predictors of cardiac resynchronization therapy benefit

INTRODUCTION: Cardiac resynchronization therapy (CRT) is an effective treatment that reduces mortality and improves cardiac function in patients with left bundle branch block (LBBB). However, about 30% of patients passing the current criteria do not benefit or benefit only a little from CRT. Three p...

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Autores principales: Halamek, Josef, Leinveber, Pavel, Viscor, Ivo, Smisek, Radovan, Plesinger, Filip, Vondra, Vlastimil, Lipoldova, Jolana, Matejkova, Magdalena, Jurak, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544221/
https://www.ncbi.nlm.nih.gov/pubmed/31150418
http://dx.doi.org/10.1371/journal.pone.0217097
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author Halamek, Josef
Leinveber, Pavel
Viscor, Ivo
Smisek, Radovan
Plesinger, Filip
Vondra, Vlastimil
Lipoldova, Jolana
Matejkova, Magdalena
Jurak, Pavel
author_facet Halamek, Josef
Leinveber, Pavel
Viscor, Ivo
Smisek, Radovan
Plesinger, Filip
Vondra, Vlastimil
Lipoldova, Jolana
Matejkova, Magdalena
Jurak, Pavel
author_sort Halamek, Josef
collection PubMed
description INTRODUCTION: Cardiac resynchronization therapy (CRT) is an effective treatment that reduces mortality and improves cardiac function in patients with left bundle branch block (LBBB). However, about 30% of patients passing the current criteria do not benefit or benefit only a little from CRT. Three predictors of benefit based on different ECG properties were compared: 1) “strict” left bundle branch block classification (SLBBB); 2) QRS area; 3) ventricular electrical delay (VED) which defines the septal-lateral conduction delay. These predictors have never been analyzed concurrently. We analyzed the relationship between them on a subset of 602 records from the MADIT-CRT trial. METHODS & RESULTS: SLBBB classification was performed by two experts; QRS area and VED were computed fully automatically. High-frequency QRS (HFQRS) maps were used to inspect conduction abnormalities. The correlation between SLBBB and other predictors was R = 0.613, 0.523 and 0.390 for VED, QRS area in Z lead, and QRS duration, respectively. Scatter plots were used to pick up disagreement between the predictors. The majority of SLBBB subjects– 295 of 330 (89%)–are supposed to respond positively to CRT according to the VED and QRS area, though 93 of 272 (34%) non-SLBBB should also benefit from CRT according to the VED and QRS area. CONCLUSION: SLBBB classification is limited by the proper setting of cut-off values. In addition, it is too “strict” and excludes patients that may benefit from CRT therapy. QRS area and VED are clearly defined parameters. They may be used to optimize biventricular stimulation. Detailed analysis of conduction irregularities with CRT optimization should be based on HFQRS maps.
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spelling pubmed-65442212019-06-17 The relationship between ECG predictors of cardiac resynchronization therapy benefit Halamek, Josef Leinveber, Pavel Viscor, Ivo Smisek, Radovan Plesinger, Filip Vondra, Vlastimil Lipoldova, Jolana Matejkova, Magdalena Jurak, Pavel PLoS One Research Article INTRODUCTION: Cardiac resynchronization therapy (CRT) is an effective treatment that reduces mortality and improves cardiac function in patients with left bundle branch block (LBBB). However, about 30% of patients passing the current criteria do not benefit or benefit only a little from CRT. Three predictors of benefit based on different ECG properties were compared: 1) “strict” left bundle branch block classification (SLBBB); 2) QRS area; 3) ventricular electrical delay (VED) which defines the septal-lateral conduction delay. These predictors have never been analyzed concurrently. We analyzed the relationship between them on a subset of 602 records from the MADIT-CRT trial. METHODS & RESULTS: SLBBB classification was performed by two experts; QRS area and VED were computed fully automatically. High-frequency QRS (HFQRS) maps were used to inspect conduction abnormalities. The correlation between SLBBB and other predictors was R = 0.613, 0.523 and 0.390 for VED, QRS area in Z lead, and QRS duration, respectively. Scatter plots were used to pick up disagreement between the predictors. The majority of SLBBB subjects– 295 of 330 (89%)–are supposed to respond positively to CRT according to the VED and QRS area, though 93 of 272 (34%) non-SLBBB should also benefit from CRT according to the VED and QRS area. CONCLUSION: SLBBB classification is limited by the proper setting of cut-off values. In addition, it is too “strict” and excludes patients that may benefit from CRT therapy. QRS area and VED are clearly defined parameters. They may be used to optimize biventricular stimulation. Detailed analysis of conduction irregularities with CRT optimization should be based on HFQRS maps. Public Library of Science 2019-05-31 /pmc/articles/PMC6544221/ /pubmed/31150418 http://dx.doi.org/10.1371/journal.pone.0217097 Text en © 2019 Halamek et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Halamek, Josef
Leinveber, Pavel
Viscor, Ivo
Smisek, Radovan
Plesinger, Filip
Vondra, Vlastimil
Lipoldova, Jolana
Matejkova, Magdalena
Jurak, Pavel
The relationship between ECG predictors of cardiac resynchronization therapy benefit
title The relationship between ECG predictors of cardiac resynchronization therapy benefit
title_full The relationship between ECG predictors of cardiac resynchronization therapy benefit
title_fullStr The relationship between ECG predictors of cardiac resynchronization therapy benefit
title_full_unstemmed The relationship between ECG predictors of cardiac resynchronization therapy benefit
title_short The relationship between ECG predictors of cardiac resynchronization therapy benefit
title_sort relationship between ecg predictors of cardiac resynchronization therapy benefit
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544221/
https://www.ncbi.nlm.nih.gov/pubmed/31150418
http://dx.doi.org/10.1371/journal.pone.0217097
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