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Heart Rate Influence on the QT Variability Risk Factors
QT interval variability, mostly expressed by QT variability index (QTVi), has repeatedly been used in risk diagnostics. Physiologic correlates of QT variability expressions have been little researched especially when measured in short 10-second electrocardiograms (ECGs). This study investigated diff...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767205/ https://www.ncbi.nlm.nih.gov/pubmed/33339231 http://dx.doi.org/10.3390/diagnostics10121096 |
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author | Andršová, Irena Hnatkova, Katerina Šišáková, Martina Toman, Ondřej Smetana, Peter Huster, Katharina M. Barthel, Petra Novotný, Tomáš Schmidt, Georg Malik, Marek |
author_facet | Andršová, Irena Hnatkova, Katerina Šišáková, Martina Toman, Ondřej Smetana, Peter Huster, Katharina M. Barthel, Petra Novotný, Tomáš Schmidt, Georg Malik, Marek |
author_sort | Andršová, Irena |
collection | PubMed |
description | QT interval variability, mostly expressed by QT variability index (QTVi), has repeatedly been used in risk diagnostics. Physiologic correlates of QT variability expressions have been little researched especially when measured in short 10-second electrocardiograms (ECGs). This study investigated different QT variability indices, including QTVi and the standard deviation of QT interval durations (SDQT) in 657,287 10-second ECGs recorded in 523 healthy subjects (259 females). The indices were related to the underlying heart rate and to the 10-second standard deviation of RR intervals (SDRR). The analyses showed that both QTVi and SDQT (as well as other QT variability indices) were highly statistically significantly (p < 0.00001) influenced by heart rate and that QTVi showed poor intra-subject reproducibility (coefficient of variance approaching 200%). Furthermore, sequential analysis of regression variance showed that SDQT was more strongly related to the underlying heart rate than to SDRR, and that QTVi was influenced by the underlying heart rate and SDRR more strongly than by SDQT (p < 0.00001 for these comparisons of regression dependency). The study concludes that instead of QTVi, simpler expressions of QT interval variability, such as SDQT, appear preferable for future applications especially if multivariable combination with the underlying heart rate is used. |
format | Online Article Text |
id | pubmed-7767205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77672052020-12-28 Heart Rate Influence on the QT Variability Risk Factors Andršová, Irena Hnatkova, Katerina Šišáková, Martina Toman, Ondřej Smetana, Peter Huster, Katharina M. Barthel, Petra Novotný, Tomáš Schmidt, Georg Malik, Marek Diagnostics (Basel) Article QT interval variability, mostly expressed by QT variability index (QTVi), has repeatedly been used in risk diagnostics. Physiologic correlates of QT variability expressions have been little researched especially when measured in short 10-second electrocardiograms (ECGs). This study investigated different QT variability indices, including QTVi and the standard deviation of QT interval durations (SDQT) in 657,287 10-second ECGs recorded in 523 healthy subjects (259 females). The indices were related to the underlying heart rate and to the 10-second standard deviation of RR intervals (SDRR). The analyses showed that both QTVi and SDQT (as well as other QT variability indices) were highly statistically significantly (p < 0.00001) influenced by heart rate and that QTVi showed poor intra-subject reproducibility (coefficient of variance approaching 200%). Furthermore, sequential analysis of regression variance showed that SDQT was more strongly related to the underlying heart rate than to SDRR, and that QTVi was influenced by the underlying heart rate and SDRR more strongly than by SDQT (p < 0.00001 for these comparisons of regression dependency). The study concludes that instead of QTVi, simpler expressions of QT interval variability, such as SDQT, appear preferable for future applications especially if multivariable combination with the underlying heart rate is used. MDPI 2020-12-16 /pmc/articles/PMC7767205/ /pubmed/33339231 http://dx.doi.org/10.3390/diagnostics10121096 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Andršová, Irena Hnatkova, Katerina Šišáková, Martina Toman, Ondřej Smetana, Peter Huster, Katharina M. Barthel, Petra Novotný, Tomáš Schmidt, Georg Malik, Marek Heart Rate Influence on the QT Variability Risk Factors |
title | Heart Rate Influence on the QT Variability Risk Factors |
title_full | Heart Rate Influence on the QT Variability Risk Factors |
title_fullStr | Heart Rate Influence on the QT Variability Risk Factors |
title_full_unstemmed | Heart Rate Influence on the QT Variability Risk Factors |
title_short | Heart Rate Influence on the QT Variability Risk Factors |
title_sort | heart rate influence on the qt variability risk factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767205/ https://www.ncbi.nlm.nih.gov/pubmed/33339231 http://dx.doi.org/10.3390/diagnostics10121096 |
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