Literature DB >> 33751088

Human biventricular electromechanical simulations on the progression of electrocardiographic and mechanical abnormalities in post-myocardial infarction.

Zhinuo J Wang1, Alfonso Santiago2,3, Xin Zhou1, Lei Wang1, Francesca Margara1, Francesc Levrero-Florencio1, Arka Das4, Chris Kelly4, Erica Dall'Armellina4, Mariano Vazquez2,3, Blanca Rodriguez1.   

Abstract

AIMS: Develop, calibrate and evaluate with clinical data a human electromechanical modelling and simulation framework for multiscale, mechanistic investigations in healthy and post-myocardial infarction (MI) conditions, from ionic to clinical biomarkers. METHODS AND
RESULTS: Human healthy and post-MI electromechanical simulations were conducted with a novel biventricular model, calibrated and evaluated with experimental and clinical data, including torso/biventricular anatomy from clinical magnetic resonance, state-of-the-art human-based membrane kinetics, excitation-contraction and active tension models, and orthotropic electromechanical coupling. Electromechanical remodelling of the infarct/ischaemic region and the border zone were simulated for ischaemic, acute, and chronic states in a fully transmural anterior infarct and a subendocardial anterior infarct. The results were compared with clinical electrocardiogram and left ventricular ejection fraction (LVEF) data at similar states. Healthy model simulations show LVEF 63%, with 11% peak systolic wall thickening, QRS duration and QT interval of 100 ms and 330 ms. LVEF in ischaemic, acute, and chronic post-MI states were 56%, 51%, and 52%, respectively. In linking the three post-MI simulations, it was apparent that elevated resting potential due to hyperkalaemia in the infarcted region led to ST-segment elevation, while a large repolarization gradient corresponded to T-wave inversion. Mechanically, the chronic stiffening of the infarct region had the benefit of improving systolic function by reducing infarct bulging at the expense of reducing diastolic function by inhibiting inflation.
CONCLUSION: Our human-based multiscale modelling and simulation framework enables mechanistic investigations into patho-physiological electrophysiological and mechanical behaviour and can serve as testbed to guide the optimization of pharmacological and electrical therapies.
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Computer modelling; Ejection fraction; Electrocardiogram; Electromechanical simulations; Myocardial infarction

Year:  2021        PMID: 33751088      PMCID: PMC7943362          DOI: 10.1093/europace/euaa405

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


  29 in total

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Journal:  Europace       Date:  2015-08-29       Impact factor: 5.214

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6.  Radionuclide assessment of sequential changes in left and right ventricular function following first acute transmural myocardial infarction.

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7.  Application of ripple mapping to visualize slow conduction channels within the infarct-related left ventricular scar.

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Journal:  Circ Arrhythm Electrophysiol       Date:  2014-12-19

8.  β-Adrenergic Receptor Stimulation and Alternans in the Border Zone of a Healed Infarct: An ex vivo Study and Computational Investigation of Arrhythmogenesis.

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9.  Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block.

Authors:  Jakub Tomek; Alfonso Bueno-Orovio; Elisa Passini; Xin Zhou; Ana Minchole; Oliver Britton; Chiara Bartolucci; Stefano Severi; Alvin Shrier; Laszlo Virag; Andras Varro; Blanca Rodriguez
Journal:  Elife       Date:  2019-12-24       Impact factor: 8.140

10.  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

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Review 3.  Basic Research Approaches to Evaluate Cardiac Arrhythmia in Heart Failure and Beyond.

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  4 in total

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