Literature DB >> 17561787

Dynamic coupling between heart rate and ventricular repolarisation.

Josef Halámek1, Pavel Jurák, Marco Villa, Miroslav Soucek, Petr Frána, Jiri Nykodým, Martin Eisenberger, Pavel Leinveber, Vlastimil Vondra, Virend K Somers, Tomas Kara.   

Abstract

A novel model for the coupling between ventricular repolarisation and heart rate (QT/RR) is presented. It is based upon a transfer function (TRF) formalism that describes the static and dynamic properties of this coupling, i.e., the behaviour after a sudden change in heart rate. Different TRF models were analysed by comparing their capability to describe experimental data collected from 19 healthy volunteers using several RR stimulation protocols: (i) rest with deep breathing at 0.1 Hz; (ii) tilt with controlled breathing at 0.1 and 0.33 Hz; and (iii) cycling. A search for the best TRF led to unambiguous identification of a three-parameter model as the most suitable descriptor of QT/RR coupling. Compared with established static models (linear or power-law), our model predictions are substantially closer to the experimental results, with errors approximately 50% smaller. The shape of the frequency and step responses of the TRF presented is essentially the same for all subjects and protocols. Moreover, each TRF may be uniquely identified by three parameters obtained from the step response, which are believed to be of physiological relevance: (i) gain for slow RR variability; (ii) gain for fast RR variability; and (iii) time during which QT attains 90% of its steady-state value. The TRF successfully describes the behaviour of the RR control following an abrupt change in RR interval, and its parameters may offer a tool for detecting pharmacologically induced changes, particularly those leading to increased arrhythmogenic risk.

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Year:  2007        PMID: 17561787     DOI: 10.1515/BMT.2007.044

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  7 in total

1.  QT/RR Coupling and Gender Differences.

Authors:  Josef Halámek; Pavel Jurák; Jolana Lipoldová; Pavel Leinveber
Journal:  Comput Cardiol (2010)       Date:  2010

2.  Use of a novel transfer function to reduce repolarization interval hysteresis.

Authors:  Josef Halámek; Pavel Jurák; T Jared Bunch; Jolana Lipoldová; Miroslav Novák; Vlastimil Vondra; Pavel Leinveber; Martin Plachy; Tomas Kara; Marco Villa; Petr Frána; Miroslav Soucek; Virend K Somers; Samuel J Asirvatham
Journal:  J Interv Card Electrophysiol       Date:  2010-07-13       Impact factor: 1.900

3.  Highly automated QT measurement techniques in 7 thorough QT studies implemented under ICH E14 guidelines.

Authors:  Jean-Philippe Couderc; Christine Garnett; Mike Li; Robert Handzel; Scott McNitt; Xiajuan Xia; Slava Polonsky; Wojciech Zareba
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-01       Impact factor: 1.468

Review 4.  Categorization and theoretical comparison of quantitative methods for assessing QT/RR hysteresis.

Authors:  Hugo Gravel; Daniel Curnier; Nagib Dahdah; Vincent Jacquemet
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-05-16       Impact factor: 1.468

5.  Measure of the QT-RR dynamic coupling in patients with the long QT syndrome.

Authors:  Josef Halamek; Jean-Philippe Couderc; Pavel Jurak; Vlastimil Vondra; Wojciech Zareba; Ivo Viscor; Pavel Leinveber
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-08-13       Impact factor: 1.468

6.  Frequency domain assessment of the coupling strength between ventricular repolarization duration and heart period during graded head-up tilt.

Authors:  Alberto Porta; Vlasta Bari; Fabio Badilini; Eleonora Tobaldini; Tomaso Gnecchi-Ruscone; Nicola Montano
Journal:  J Electrocardiol       Date:  2011-09-09       Impact factor: 1.438

7.  Sex and Rate Change Differences in QT/RR Hysteresis in Healthy Subjects.

Authors:  Irena Andršová; Katerina Hnatkova; Martina Šišáková; Ondřej Toman; Peter Smetana; Katharina M Huster; Petra Barthel; Tomáš Novotný; Georg Schmidt; Marek Malik
Journal:  Front Physiol       Date:  2022-02-07       Impact factor: 4.566

  7 in total

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