Cargando…

Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1

AIMS: The aim of this study was to determine electrocardiographic (ECG) criteria predicting abnormal infrahissian conduction in patients with myotonic dystrophy type 1 (DM1), as these criteria could be used to identify the need for an electrophysiological study (EPS). METHODS AND RESULTS: A retrospe...

Descripción completa

Detalles Bibliográficos
Autores principales: Joosten, Isis B T, van Lohuizen, Romy, den Uijl, Dennis W, Evertz, Reinder, de Greef, Bianca T A, van Engelen, Baziel G M, Faber, Catharina G, Vernooy, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868883/
https://www.ncbi.nlm.nih.gov/pubmed/33150426
http://dx.doi.org/10.1093/europace/euaa256
_version_ 1783648530705940480
author Joosten, Isis B T
van Lohuizen, Romy
den Uijl, Dennis W
Evertz, Reinder
de Greef, Bianca T A
van Engelen, Baziel G M
Faber, Catharina G
Vernooy, Kevin
author_facet Joosten, Isis B T
van Lohuizen, Romy
den Uijl, Dennis W
Evertz, Reinder
de Greef, Bianca T A
van Engelen, Baziel G M
Faber, Catharina G
Vernooy, Kevin
author_sort Joosten, Isis B T
collection PubMed
description AIMS: The aim of this study was to determine electrocardiographic (ECG) criteria predicting abnormal infrahissian conduction in patients with myotonic dystrophy type 1 (DM1), as these criteria could be used to identify the need for an electrophysiological study (EPS). METHODS AND RESULTS: A retrospective multicentre study was conducted including DM1-affected individuals who underwent EPS between 2007 and 2018. For each individual, EPS indication, His-ventricle (HV) interval, resting ECG parameters prior to EPS, left ventricular ejection fraction (LVEF), neurological status, and DM1 DNA analysis results were collected. Electrocardiographic parameters of patients with a normal HV interval were compared with ECG parameters of patients with a prolonged HV interval. Logistic regression was performed to determine predictors for a prolonged HV interval of ≥70 ms on EPS and diagnostic accuracy of ECG parameters was ascertained. Among 100 DM1-affected individuals undergoing EPS, 47 had a prolonged HV interval. The sole presence of a PR interval >200 ms [odds ratio (OR) 8.45, confidence interval (CI) 2.64–27.04] or a QRS complex >120 ms (OR 9.91, CI 3.53–27.80) on ECG were independent predictors of a prolonged HV interval. The combination of both parameters had a positive predictive value of 78% for delayed infrahissian conduction on EPS. His-ventricle interval was independent of DM1 genetic mutation size, neuromuscular status, and LVEF. CONCLUSION: The combination of a prolonged PR interval and widened QRS complex on ECG accurately predicts abnormal infrahissian conduction on EPS in patients with DM1. These ECG parameters could be used as a screening tool to determine the need for referral to a specialized multidisciplinary neuromuscular team with EPS capacity.
format Online
Article
Text
id pubmed-7868883
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-78688832021-02-11 Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1 Joosten, Isis B T van Lohuizen, Romy den Uijl, Dennis W Evertz, Reinder de Greef, Bianca T A van Engelen, Baziel G M Faber, Catharina G Vernooy, Kevin Europace Clinical Research AIMS: The aim of this study was to determine electrocardiographic (ECG) criteria predicting abnormal infrahissian conduction in patients with myotonic dystrophy type 1 (DM1), as these criteria could be used to identify the need for an electrophysiological study (EPS). METHODS AND RESULTS: A retrospective multicentre study was conducted including DM1-affected individuals who underwent EPS between 2007 and 2018. For each individual, EPS indication, His-ventricle (HV) interval, resting ECG parameters prior to EPS, left ventricular ejection fraction (LVEF), neurological status, and DM1 DNA analysis results were collected. Electrocardiographic parameters of patients with a normal HV interval were compared with ECG parameters of patients with a prolonged HV interval. Logistic regression was performed to determine predictors for a prolonged HV interval of ≥70 ms on EPS and diagnostic accuracy of ECG parameters was ascertained. Among 100 DM1-affected individuals undergoing EPS, 47 had a prolonged HV interval. The sole presence of a PR interval >200 ms [odds ratio (OR) 8.45, confidence interval (CI) 2.64–27.04] or a QRS complex >120 ms (OR 9.91, CI 3.53–27.80) on ECG were independent predictors of a prolonged HV interval. The combination of both parameters had a positive predictive value of 78% for delayed infrahissian conduction on EPS. His-ventricle interval was independent of DM1 genetic mutation size, neuromuscular status, and LVEF. CONCLUSION: The combination of a prolonged PR interval and widened QRS complex on ECG accurately predicts abnormal infrahissian conduction on EPS in patients with DM1. These ECG parameters could be used as a screening tool to determine the need for referral to a specialized multidisciplinary neuromuscular team with EPS capacity. Oxford University Press 2020-11-05 /pmc/articles/PMC7868883/ /pubmed/33150426 http://dx.doi.org/10.1093/europace/euaa256 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Cardiology http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Clinical Research
Joosten, Isis B T
van Lohuizen, Romy
den Uijl, Dennis W
Evertz, Reinder
de Greef, Bianca T A
van Engelen, Baziel G M
Faber, Catharina G
Vernooy, Kevin
Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
title Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
title_full Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
title_fullStr Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
title_full_unstemmed Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
title_short Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
title_sort electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868883/
https://www.ncbi.nlm.nih.gov/pubmed/33150426
http://dx.doi.org/10.1093/europace/euaa256
work_keys_str_mv AT joostenisisbt electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT vanlohuizenromy electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT denuijldennisw electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT evertzreinder electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT degreefbiancata electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT vanengelenbazielgm electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT fabercatharinag electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1
AT vernooykevin electrocardiographicpredictorsofinfrahissianconductiondisturbancesinmyotonicdystrophytype1