Literature DB >> 33339231

Heart Rate Influence on the QT Variability Risk Factors.

Irena Andršová1, Katerina Hnatkova2, Martina Šišáková1, Ondřej Toman1, Peter Smetana3, Katharina M Huster4, Petra Barthel4, Tomáš Novotný1, Georg Schmidt4, Marek Malik2,5.   

Abstract

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.

Entities:  

Keywords:  QT variability; QT variability index; RR variability; sequential analysis of regression variance; underlying heart rate

Year:  2020        PMID: 33339231      PMCID: PMC7767205          DOI: 10.3390/diagnostics10121096

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  48 in total

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Authors:  Christine E Garnett; Hao Zhu; Marek Malik; Anthony A Fossa; Joanne Zhang; Fabio Badilini; Jianguo Li; Börje Darpö; Philip Sager; Ignacio Rodriguez
Journal:  Am Heart J       Date:  2012-05-04       Impact factor: 4.749

2.  Sample size, power calculations, and their implications for the cost of thorough studies of drug induced QT interval prolongation.

Authors:  Marek Malik; Katerina Hnatkova; Velislav Batchvarov; Yi Gang; Peter Smetana; A John Camm
Journal:  Pacing Clin Electrophysiol       Date:  2004-12       Impact factor: 1.976

3.  Systematic comparisons of electrocardiographic morphology increase the precision of QT interval measurement.

Authors:  Katerina Hnatkova; Peter Smetana; Ondrej Toman; Axel Bauer; Georg Schmidt; Marek Malik
Journal:  Pacing Clin Electrophysiol       Date:  2009-01       Impact factor: 1.976

4.  Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus.

Authors:  Axel Bauer; Marek Malik; Georg Schmidt; Petra Barthel; Hendrik Bonnemeier; Iwona Cygankiewicz; Przemyslaw Guzik; Federico Lombardi; Alexander Müller; Ali Oto; Raphael Schneider; Mari Watanabe; Dan Wichterle; Wojciech Zareba
Journal:  J Am Coll Cardiol       Date:  2008-10-21       Impact factor: 24.094

5.  Correlation between beat-to-beat QT interval variability and impaired left ventricular function in patients with previous myocardial infarction.

Authors:  Kenji Hiromoto; Hiroki Shimizu; Takanao Mine; Tohru Masuyama; Mitsumasa Ohyanagi
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-10       Impact factor: 1.468

6.  QT interval variability index and QT interval duration during different sleep stages in patients with obstructive sleep apnea.

Authors:  Moonika Viigimae; Deniss Karai; Kristjan Pilt; Peeter Pirn; Heini Huhtala; Olli Polo; Kalju Meigas; Jyri Kaik
Journal:  Sleep Med       Date:  2017-07-22       Impact factor: 3.492

7.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

Authors: 
Journal:  Circulation       Date:  1996-03-01       Impact factor: 29.690

8.  Thorough QT/QTc study in patients with advanced Parkinson's disease: cardiac safety of rotigotine.

Authors:  M Malik; J-O Andreas; K Hnatkova; J Hoeckendorff; W Cawello; M Middle; R Horstmann; M Braun
Journal:  Clin Pharmacol Ther       Date:  2008-07-23       Impact factor: 6.875

9.  QT variability index in patients with systemic sclerosis.

Authors:  Udi Nussinovitch; Shiri Rubin; Yair Levy; Merav Lidar; Avi Livneh
Journal:  Eur J Rheumatol       Date:  2018-10-01

10.  Sex differences in heart rate responses to postural provocations.

Authors:  Katerina Hnatkova; Martina Šišáková; Peter Smetana; Ondřej Toman; Katharina M Huster; Tomáš Novotný; Georg Schmidt; Marek Malik
Journal:  Int J Cardiol       Date:  2019-10-07       Impact factor: 4.164

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  3 in total

1.  Short-Term Beat-to-Beat QT Variability Appears Influenced More Strongly by Recording Quality Than by Beat-to-Beat RR Variability.

Authors:  Ondřej Toman; Katerina Hnatkova; Martina Šišáková; Peter Smetana; Katharina M Huster; Petra Barthel; Tomáš Novotný; Irena Andršová; Georg Schmidt; Marek Malik
Journal:  Front Physiol       Date:  2022-04-01       Impact factor: 4.755

2.  Influence of heart rate correction formulas on QTc interval stability.

Authors:  Irena Andršová; Katerina Hnatkova; Martina Šišáková; Ondřej Toman; Peter Smetana; Katharina M Huster; Petra Barthel; Tomáš Novotný; Georg Schmidt; Marek Malik
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.996

3.  An Improved UNet++ Model for Congestive Heart Failure Diagnosis Using Short-Term RR Intervals.

Authors:  Meng Lei; Jia Li; Ming Li; Liang Zou; Han Yu
Journal:  Diagnostics (Basel)       Date:  2021-03-16
  3 in total

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