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Validation of a smartphone-based electrocardiography in the screening of QT intervals in children

OBJECTIVE: A 12-lead electrocardiography is a critical component for the screening of long QT syndrome; however, besides, an electrocardiograph, trained personnel are also necessary which limits the screening capability of conventional electrocardiographs. The development of smartphone electrocardio...

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Autores principales: Karacan, Mehmet, Celik, Nida, Gul, Enes Elvin, Akdeniz, Celal, Tuzcu, Volkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kare Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526985/
https://www.ncbi.nlm.nih.gov/pubmed/31180383
http://dx.doi.org/10.14744/nci.2018.44452
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author Karacan, Mehmet
Celik, Nida
Gul, Enes Elvin
Akdeniz, Celal
Tuzcu, Volkan
author_facet Karacan, Mehmet
Celik, Nida
Gul, Enes Elvin
Akdeniz, Celal
Tuzcu, Volkan
author_sort Karacan, Mehmet
collection PubMed
description OBJECTIVE: A 12-lead electrocardiography is a critical component for the screening of long QT syndrome; however, besides, an electrocardiograph, trained personnel are also necessary which limits the screening capability of conventional electrocardiographs. The development of smartphone electrocardiography technologies provides a potential alternative platform for electrocardiography screening for selective purposes such as arrhythmias and QT interval abnormalities. The aim of this pilot study was to assess the reliability of a smartphone-based electrocardiography device in the measurement of QT and corrected QT intervals in children. METHODS: In all participants, 10-s smartphone electrocardiography tracing from AliveCor device and a standard 12-lead electrocardiograph were obtained simultaneously. Two pediatric electrophysiologists performed the measurements of QT and corrected QT intervals in a blinded manner with Bazett’s formula. The results were compared statistically. RESULTS: A total of 285 children (mean age 9.8±4.9 years) who presented to our clinic were included in the study. The mean QT intervals obtained from 12-lead electrocardiographs and AliveCor devices were 343±40 ms and 340±41 ms, respectively. The mean corrected QT intervals obtained from 12-lead electrocardiographs and AliveCor devices were 419±28 ms and 415±33 ms, respectively. There was high correlation between the QT intervals of 12-lead electrocardiographs and AliveCor recordings (Pearson’s correlation coefficient: 0.83 [p<0.001]) and significant correlation between the corrected QT intervals of 12-lead electrocardiographs and AliveCor recordings (Pearson’s correlation coefficient: 0.57 [p<0.001]). CONCLUSION: AliveCor recordings can accurately detect QT intervals and can potentially be used for the screening of congenital long QT syndrome in children.
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spelling pubmed-65269852019-06-06 Validation of a smartphone-based electrocardiography in the screening of QT intervals in children Karacan, Mehmet Celik, Nida Gul, Enes Elvin Akdeniz, Celal Tuzcu, Volkan North Clin Istanb Original Article OBJECTIVE: A 12-lead electrocardiography is a critical component for the screening of long QT syndrome; however, besides, an electrocardiograph, trained personnel are also necessary which limits the screening capability of conventional electrocardiographs. The development of smartphone electrocardiography technologies provides a potential alternative platform for electrocardiography screening for selective purposes such as arrhythmias and QT interval abnormalities. The aim of this pilot study was to assess the reliability of a smartphone-based electrocardiography device in the measurement of QT and corrected QT intervals in children. METHODS: In all participants, 10-s smartphone electrocardiography tracing from AliveCor device and a standard 12-lead electrocardiograph were obtained simultaneously. Two pediatric electrophysiologists performed the measurements of QT and corrected QT intervals in a blinded manner with Bazett’s formula. The results were compared statistically. RESULTS: A total of 285 children (mean age 9.8±4.9 years) who presented to our clinic were included in the study. The mean QT intervals obtained from 12-lead electrocardiographs and AliveCor devices were 343±40 ms and 340±41 ms, respectively. The mean corrected QT intervals obtained from 12-lead electrocardiographs and AliveCor devices were 419±28 ms and 415±33 ms, respectively. There was high correlation between the QT intervals of 12-lead electrocardiographs and AliveCor recordings (Pearson’s correlation coefficient: 0.83 [p<0.001]) and significant correlation between the corrected QT intervals of 12-lead electrocardiographs and AliveCor recordings (Pearson’s correlation coefficient: 0.57 [p<0.001]). CONCLUSION: AliveCor recordings can accurately detect QT intervals and can potentially be used for the screening of congenital long QT syndrome in children. Kare Publishing 2019-02-12 /pmc/articles/PMC6526985/ /pubmed/31180383 http://dx.doi.org/10.14744/nci.2018.44452 Text en Copyright: © 2019 by Istanbul Northern Anatolian Association of Public Hospitals http://creativecommons.org/licenses/by-nc-sa/4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
spellingShingle Original Article
Karacan, Mehmet
Celik, Nida
Gul, Enes Elvin
Akdeniz, Celal
Tuzcu, Volkan
Validation of a smartphone-based electrocardiography in the screening of QT intervals in children
title Validation of a smartphone-based electrocardiography in the screening of QT intervals in children
title_full Validation of a smartphone-based electrocardiography in the screening of QT intervals in children
title_fullStr Validation of a smartphone-based electrocardiography in the screening of QT intervals in children
title_full_unstemmed Validation of a smartphone-based electrocardiography in the screening of QT intervals in children
title_short Validation of a smartphone-based electrocardiography in the screening of QT intervals in children
title_sort validation of a smartphone-based electrocardiography in the screening of qt intervals in children
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526985/
https://www.ncbi.nlm.nih.gov/pubmed/31180383
http://dx.doi.org/10.14744/nci.2018.44452
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