Literature DB >> 28823052

Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients.

C Sánchez1,2,3, G D'Ambrosio4, F Maffessanti5, E G Caiani6, F W Prinzen7, R Krause5, A Auricchio5,4, M Potse5,8,9.   

Abstract

Cardiac resynchronization therapy is not effective in a variable proportion of heart failure patients. An accurate knowledge of each patient's electroanatomical features could be helpful to determine the most appropriate treatment. The goal of this study was to analyze and quantify the sensitivity of left ventricular (LV) activation and the electrocardiogram (ECG) to changes in 39 parameters used to tune realistic anatomical-electrophysiological models of the heart. Electrical activity in the ventricles was simulated using a reaction-diffusion equation. To simulate cellular electrophysiology, the Ten Tusscher-Panfilov 2006 model was used. Intracardiac electrograms and 12-lead ECGs were computed by solving the bidomain equation. Parameters showing the highest sensitivity values were similar in the six patients studied. QRS complex and LV activation times were modulated by the sodium current, the cell surface-to-volume ratio in the LV, and tissue conductivities. The T-wave was modulated by the calcium and rectifier-potassium currents, and the cell surface-to-volume ratio in both ventricles. We conclude that homogeneous changes in ionic currents entail similar effects in all ECG leads, whereas the effects of changes in tissue properties show larger inter-lead variability. The effects of parameter variations are highly consistent between patients and most of the model tuning could be performed with only ~10 parameters.

Entities:  

Keywords:  Computer simulation; ECG morphology; Heart failure; Left bundle branch block; Patient-specific model; Sensitivity analysis

Mesh:

Year:  2017        PMID: 28823052     DOI: 10.1007/s11517-017-1696-9

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  48 in total

Review 1.  Electrophysiological remodeling in hypertrophy and heart failure.

Authors:  G F Tomaselli; E Marbán
Journal:  Cardiovasc Res       Date:  1999-05       Impact factor: 10.787

2.  A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

Authors:  Mark Potse; Bruno Dubé; Jacques Richer; Alain Vinet; Ramesh M Gulrajani
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

Review 3.  From left ventricular hypertrophy to congestive heart failure: management of hypertensive heart disease.

Authors:  Alan H Gradman; Fadi Alfayoumi
Journal:  Prog Cardiovasc Dis       Date:  2006 Mar-Apr       Impact factor: 8.194

4.  A multiscale investigation of repolarization variability and its role in cardiac arrhythmogenesis.

Authors:  Esther Pueyo; Alberto Corrias; László Virág; Norbert Jost; Tamás Szél; András Varró; Norbert Szentandrássy; Péter P Nánási; Kevin Burrage; Blanca Rodríguez
Journal:  Biophys J       Date:  2011-12-20       Impact factor: 4.033

5.  Human atrial action potential and Ca2+ model: sinus rhythm and chronic atrial fibrillation.

Authors:  Eleonora Grandi; Sandeep V Pandit; Niels Voigt; Antony J Workman; Dobromir Dobrev; José Jalife; Donald M Bers
Journal:  Circ Res       Date:  2011-09-15       Impact factor: 17.367

6.  The role of canine superficial ventricular muscle fibers in endocardial impulse distribution.

Authors:  R J Myerburg; H Gelband; K Nilsson; A Castellanos; A R Morales; A L Bassett
Journal:  Circ Res       Date:  1978-01       Impact factor: 17.367

7.  Impact of ionic current variability on human ventricular cellular electrophysiology.

Authors:  Lucía Romero; Esther Pueyo; Martin Fink; Blanca Rodríguez
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-07-31       Impact factor: 4.733

8.  Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology.

Authors:  Oliver J Britton; Alfonso Bueno-Orovio; Karel Van Ammel; Hua Rong Lu; Rob Towart; David J Gallacher; Blanca Rodriguez
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

9.  Simulation and mechanistic investigation of the arrhythmogenic role of the late sodium current in human heart failure.

Authors:  Beatriz Trenor; Karen Cardona; Juan F Gomez; Sridharan Rajamani; Jose M Ferrero; Luiz Belardinelli; Javier Saiz
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

10.  Patient-specific modelling of cardiac electrophysiology in heart-failure patients.

Authors:  Mark Potse; Dorian Krause; Wilco Kroon; Romina Murzilli; Stefano Muzzarelli; François Regoli; Enrico Caiani; Frits W Prinzen; Rolf Krause; Angelo Auricchio
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

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  8 in total

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Authors:  Richard H Clayton; Yasser Aboelkassem; Chris D Cantwell; Cesare Corrado; Tammo Delhaas; Wouter Huberts; Chon Lok Lei; Haibo Ni; Alexander V Panfilov; Caroline Roney; Rodrigo Weber Dos Santos
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

Review 2.  Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Authors:  Aurore Lyon; Ana Mincholé; Juan Pablo Martínez; Pablo Laguna; Blanca Rodriguez
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

Review 3.  Approaches for determining cardiac bidomain conductivity values: progress and challenges.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2020-10-22       Impact factor: 2.602

Review 4.  Computational Modeling for Cardiac Resynchronization Therapy.

Authors:  Angela W C Lee; Caroline Mendonca Costa; Marina Strocchi; Christopher A Rinaldi; Steven A Niederer
Journal:  J Cardiovasc Transl Res       Date:  2018-01-11       Impact factor: 4.132

Review 5.  Basic Research Approaches to Evaluate Cardiac Arrhythmia in Heart Failure and Beyond.

Authors:  Max J Cumberland; Leto L Riebel; Ashwin Roy; Christopher O'Shea; Andrew P Holmes; Chris Denning; Paulus Kirchhof; Blanca Rodriguez; Katja Gehmlich
Journal:  Front Physiol       Date:  2022-02-07       Impact factor: 4.566

Review 6.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

7.  Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning.

Authors:  Jong-Rul Park; Sung Phil Chung; Sung Yeon Hwang; Tae Gun Shin; Jong Eun Park
Journal:  BMC Med Inform Decis Mak       Date:  2020-06-01       Impact factor: 2.796

8.  MRI-Based Computational Torso/Biventricular Multiscale Models to Investigate the Impact of Anatomical Variability on the ECG QRS Complex.

Authors:  Ana Mincholé; Ernesto Zacur; Rina Ariga; Vicente Grau; Blanca Rodriguez
Journal:  Front Physiol       Date:  2019-08-27       Impact factor: 4.566

  8 in total

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