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Statistical ranking of electromechanical dyssynchrony parameters for CRT

OBJECTIVE: Mechanical evaluation of dyssynchrony by echocardiography has not replaced ECG in routine cardiac resynchronisation therapy (CRT) evaluation because of its complexity and lack of reproducibility. The objective of this study was to evaluate the potential correlations between electromechani...

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Autores principales: Cazeau, Serge, Toulemont, Matthieu, Ritter, Philippe, Reygner, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347881/
https://www.ncbi.nlm.nih.gov/pubmed/30740229
http://dx.doi.org/10.1136/openhrt-2018-000933
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author Cazeau, Serge
Toulemont, Matthieu
Ritter, Philippe
Reygner, Julien
author_facet Cazeau, Serge
Toulemont, Matthieu
Ritter, Philippe
Reygner, Julien
author_sort Cazeau, Serge
collection PubMed
description OBJECTIVE: Mechanical evaluation of dyssynchrony by echocardiography has not replaced ECG in routine cardiac resynchronisation therapy (CRT) evaluation because of its complexity and lack of reproducibility. The objective of this study was to evaluate the potential correlations between electromechanical parameters (atrioventricular, interventricular and intraventricular from the dyssynchrony model presented in 2000), their ability to describe dyssynchrony and their potential use in resynchrony. METHODS: 455 sets of the 18 parameters of the model obtained in 91 patients submitted to various pacing configurations were evaluated two by two using a Pearson correlation test and then by groups according to their ability to describe dyssynchrony, using the Column selection method of machine learning. RESULTS: The best parameter is duration of septal contraction, which alone describes 25% of dyssynchrony. The best groups of 3, 4 and ≥8 variables describe 59%, 73% and almost 100% of dyssynchrony, respectively. Left pre-ejection interval is highly and significantly correlated to a maximum of other variables, and its decrease is associated with the favourable evolution of all other correlated parameters. Increase in filling duration and decrease in duration of septum to lateral wall contraction difference are not associated with the favourable evolution of other parameters. CONCLUSIONS: No single electromechanical parameter alone can fully describe dyssynchrony. The 18-parameter model can be simplified, but still requires at least 4–8 parameters. Decrease in left pre-ejection interval favourably drives resynchrony in a maximum of other parameters. Increase in filling duration and decrease in septum–lateral wall difference do not appear to be good CRT targets.
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spelling pubmed-63478812019-02-08 Statistical ranking of electromechanical dyssynchrony parameters for CRT Cazeau, Serge Toulemont, Matthieu Ritter, Philippe Reygner, Julien Open Heart Heart Failure and Cardiomyopathies OBJECTIVE: Mechanical evaluation of dyssynchrony by echocardiography has not replaced ECG in routine cardiac resynchronisation therapy (CRT) evaluation because of its complexity and lack of reproducibility. The objective of this study was to evaluate the potential correlations between electromechanical parameters (atrioventricular, interventricular and intraventricular from the dyssynchrony model presented in 2000), their ability to describe dyssynchrony and their potential use in resynchrony. METHODS: 455 sets of the 18 parameters of the model obtained in 91 patients submitted to various pacing configurations were evaluated two by two using a Pearson correlation test and then by groups according to their ability to describe dyssynchrony, using the Column selection method of machine learning. RESULTS: The best parameter is duration of septal contraction, which alone describes 25% of dyssynchrony. The best groups of 3, 4 and ≥8 variables describe 59%, 73% and almost 100% of dyssynchrony, respectively. Left pre-ejection interval is highly and significantly correlated to a maximum of other variables, and its decrease is associated with the favourable evolution of all other correlated parameters. Increase in filling duration and decrease in duration of septum to lateral wall contraction difference are not associated with the favourable evolution of other parameters. CONCLUSIONS: No single electromechanical parameter alone can fully describe dyssynchrony. The 18-parameter model can be simplified, but still requires at least 4–8 parameters. Decrease in left pre-ejection interval favourably drives resynchrony in a maximum of other parameters. Increase in filling duration and decrease in septum–lateral wall difference do not appear to be good CRT targets. BMJ Publishing Group 2019-01-21 /pmc/articles/PMC6347881/ /pubmed/30740229 http://dx.doi.org/10.1136/openhrt-2018-000933 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Heart Failure and Cardiomyopathies
Cazeau, Serge
Toulemont, Matthieu
Ritter, Philippe
Reygner, Julien
Statistical ranking of electromechanical dyssynchrony parameters for CRT
title Statistical ranking of electromechanical dyssynchrony parameters for CRT
title_full Statistical ranking of electromechanical dyssynchrony parameters for CRT
title_fullStr Statistical ranking of electromechanical dyssynchrony parameters for CRT
title_full_unstemmed Statistical ranking of electromechanical dyssynchrony parameters for CRT
title_short Statistical ranking of electromechanical dyssynchrony parameters for CRT
title_sort statistical ranking of electromechanical dyssynchrony parameters for crt
topic Heart Failure and Cardiomyopathies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347881/
https://www.ncbi.nlm.nih.gov/pubmed/30740229
http://dx.doi.org/10.1136/openhrt-2018-000933
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