Electromechanical computational modelling of heart failure provides extensive analysis of cardiac pathophysiological features

Electromechanical computational modelling of heart failure provides extensive analysis of cardiac pathophysiological features | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Electromechanical computational modelling of heart failure provides extensive analysis of cardiac pathophysiological features Eva Casoni, Maite Mora, Alberto Zingaro, Juan F. Gómez, Mariano Vázquez, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6144690/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 13 Jan, 2026 Read the published version in Biomechanics and Modeling in Mechanobiology → Version 1 posted 11 You are reading this latest preprint version Abstract Purpose: This study introduces a novel computational framework for simulating the cardiac function in both healthy and post-myocardial infarction hearts to model heart failure with reduced ejection fraction (HFrEF). By integrating biomechanical deformation, electromechanical coupling, and haemodynamic feedback, the model provides a comprehensive analysis of heart failure progression. Methods: A physiologically detailed 3D-0D electromechanical model was used to simulate pressure volume loops under different pathological conditions, including post-myocardial infarction and HFrEF. The model incorporates haemody-namic coupling with an electromechanical framework to quantify left ventricular performance markers in virtual scenarios. Additionally, myocardial strains along the principal fiber direction were computed to assess systolic dysfunction and deformation. Results: The simulations accurately captured the impact of HFrEF on electrophysiological and mechanical properties. The computationally-derived PV loops demonstrated a strong agreement with clinical findings, highlighting key features of HFrEF such as reduced stroke volume, impaired contractility, and decreased ejection fraction. Furthermore, scar-related conduction abnormalities were associated with an increased risk of ventricular tachycardia, with failing hearts exhibiting greater haemodynamic instability during arrhythmic episodes. Conclusions: The proposed computational framework provides a powerful tool for investigating HFrEF progression and electromechanical dysfunction. By accurately replicating PV loop characteristics and haemodynamic alterations commonly seen in clinical settings, this model enhances the understanding of HFrEF and may support the development of targeted therapeutic strategies. Heart failure electromechanical model pressure volume loop ventricular tachycardia cardiac modelling computational cardiology Full Text Additional Declarations No competing interests reported. All images used in this work are part of a study approved by the ethics committee of the Universitat Autonoma de Barcelona, with the reference number CEEAH 6471, and acquired from volunteers with the corresponding informed consent. Supplementary Files casonietalV1.mp4 casonietalV2.mp4 Cite Share Download PDF Status: Published Journal Publication published 13 Jan, 2026 Read the published version in Biomechanics and Modeling in Mechanobiology → Version 1 posted Editorial decision: Revision requested 17 Apr, 2025 Reviews received at journal 15 Apr, 2025 Reviews received at journal 07 Apr, 2025 Reviews received at journal 04 Apr, 2025 Reviewers agreed at journal 10 Mar, 2025 Reviewers agreed at journal 10 Mar, 2025 Reviewers agreed at journal 09 Mar, 2025 Reviewers invited by journal 09 Mar, 2025 Editor assigned by journal 04 Mar, 2025 Submission checks completed at journal 03 Mar, 2025 First submitted to journal 03 Mar, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6144690","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":444361569,"identity":"c490ea72-97b1-453c-b4c2-f41e2614aae1","order_by":0,"name":"Eva Casoni","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuUlEQVRIiWNgGAWjYPACCTkGdiDF2CBBvBZjBmYStTAkNkC0EKGUn/3w4w8fd1ik9zMzH93AuMNCjqAWyZ40M8mZZyRyZzazpd1gPAN0ISFgcIPBjJm3TSJ3w2EesxuMbRKJBN1mf4P982eglnT7w/zfiNNiIMFjIA3UkmDAzMNGnBaJMzllkjPbJAxnHGYzu5FIjF/4249v/vCxrU6ev7352Y2PO+oIhxgqSCBR/SgYBaNgFIwCHAAA1uc2zBdvtH8AAAAASUVORK5CYII=","orcid":"","institution":"Elem Biotech S.L","correspondingAuthor":true,"prefix":"","firstName":"Eva","middleName":"","lastName":"Casoni","suffix":""},{"id":444361570,"identity":"bbe53d3c-90a9-4aa0-9d79-8da5861063ba","order_by":1,"name":"Maite Mora","email":"","orcid":"","institution":"Universitat Politècnica deVaì encia","correspondingAuthor":false,"prefix":"","firstName":"Maite","middleName":"","lastName":"Mora","suffix":""},{"id":444361571,"identity":"25f008ff-8185-4745-9d6b-145bef5aa1ab","order_by":2,"name":"Alberto Zingaro","email":"","orcid":"","institution":"Elem Biotech S.L","correspondingAuthor":false,"prefix":"","firstName":"Alberto","middleName":"","lastName":"Zingaro","suffix":""},{"id":444361572,"identity":"158d7428-121d-48ce-a8a7-b0c59112b2a0","order_by":3,"name":"Juan F. 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By integrating biomechanical deformation, electromechanical coupling, and haemodynamic feedback, the model provides a comprehensive analysis of heart failure progression.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eA physiologically detailed 3D-0D electromechanical model was used to simulate pressure volume loops under different pathological conditions, including post-myocardial infarction and HFrEF. The model incorporates haemody-namic coupling with an electromechanical framework to quantify left ventricular performance markers in virtual scenarios. Additionally, myocardial strains along the principal fiber direction were computed to assess systolic dysfunction and deformation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eThe simulations accurately captured the impact of HFrEF on electrophysiological and mechanical properties. 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