Literature DB >> 34160046

Understanding the effects of heart beat irregularity on ventricular function in human atrial fibrillation: simulation models may help to untie the knot-Authors' reply.

Aurore Lyon1, Manouk van Mourik2, Laura Cruts2, Jordi Heijman2, Sebastiaan C A M Bekkers2, Ulrich Schotten3, Harry J G M Crijns2, Dominik Linz2, Joost Lumens1.   

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Year:  2021        PMID: 34160046      PMCID: PMC8576277          DOI: 10.1093/europace/euab144

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


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We would like to thank colleagues Masè and Ravelli for their positive comments on our paper and valuable suggestions., We certainly share their opinion that the combination of clinical data with computer simulations has the potential to improve our understanding of atrial fibrillation (AF) mechanisms and may help suggest novel targets for therapies. As they rightfully point out, the model we used in our paper is based solely on the RR interval sequences measured in 10 AF patients, and despite the use of generic simulations to deepen our mechanistic understanding of left ventricular (LV) function changes in AF, the wide range of clinically observed RR sequences may not have been captured to its full extent. Coupling our model of the heart and circulation, to the electrical models of atrioventricular (AV) dynamics in AF that Masè and Ravelli highlighted, would indeed allow us to inform the CircAdapt model with more complex and realistic RR sequences. It would also make it possible to investigate the mechanistic link between electrical atrial dysfunction and ventricular function in various types of AF. Such a combination of electrical and mechanical computer models would open the possibility to tackle additional clinically relevant research questions such as how atrial dynamics (e.g. atrial flutters) and AV interactions (e.g. AV block) affect beat-to-beat LV haemodynamics and function in AF, or how LV diastolic dysfunction increases the risk for AF and vice versa. Conflict of interest: none declared.
  6 in total

1.  Characterization of rate and regularity of ventricular response during atrial tachyarrhythmias. Insight on atrial and nodal determinants.

Authors:  Michela Masè; Marcello Disertori; Massimiliano Marini; Flavia Ravelli
Journal:  Physiol Meas       Date:  2017-02-28       Impact factor: 2.833

2.  Three-wall segment (TriSeg) model describing mechanics and hemodynamics of ventricular interaction.

Authors:  Joost Lumens; Tammo Delhaas; Borut Kirn; Theo Arts
Journal:  Ann Biomed Eng       Date:  2009-08-29       Impact factor: 3.934

3.  Nodal recovery, dual pathway physiology, and concealed conduction determine complex AV dynamics in human atrial tachyarrhythmias.

Authors:  Michela Masè; Leon Glass; Marcello Disertori; Flavia Ravelli
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-09-21       Impact factor: 4.733

4.  Understanding the effects of heartbeat irregularity on ventricular function in human atrial fibrillation: simulation models may help to untie the knot.

Authors:  Michela Masè; Flavia Ravelli
Journal:  Europace       Date:  2021-11-08       Impact factor: 5.214

5.  Fast Simulation of Mechanical Heterogeneity in the Electrically Asynchronous Heart Using the MultiPatch Module.

Authors:  John Walmsley; Theo Arts; Nicolas Derval; Pierre Bordachar; Hubert Cochet; Sylvain Ploux; Frits W Prinzen; Tammo Delhaas; Joost Lumens
Journal:  PLoS Comput Biol       Date:  2015-07-23       Impact factor: 4.475

6.  Both beat-to-beat changes in RR-interval and left ventricular filling time determine ventricular function during atrial fibrillation.

Authors:  Aurore Lyon; Manouk van Mourik; Laura Cruts; Jordi Heijman; Sebastiaan C A M Bekkers; Ulrich Schotten; Harry J G M Crijns; Dominik Linz; Joost Lumens
Journal:  Europace       Date:  2021-03-04       Impact factor: 5.214

  6 in total

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