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Sankarankutty AC, Greiner J, Bragard J, et al. Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction. Front Physiol. 2021;12:730933doi: 10.3389/fphys.2021.730933.
Sankarankutty, A. C., Greiner, J., Bragard, J., Visker, J. R., Shankar, T. S., Kyriakopoulos, C. P., Drakos, S. G., & Sachse, F. B. (2021). Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction. Frontiers in physiology, 12730933. https://doi.org/10.3389/fphys.2021.730933
Sankarankutty, Aparna C, et al. "Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction." Frontiers in physiology vol. 12 (2021): 730933. doi: https://doi.org/10.3389/fphys.2021.730933
Sankarankutty AC, Greiner J, Bragard J, Visker JR, Shankar TS, Kyriakopoulos CP, Drakos SG, Sachse FB. Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction. Front Physiol. 2021 Oct 05;12:730933. doi: 10.3389/fphys.2021.730933. eCollection 2021. PMID: 34675817; PMCID: PMC8523803.
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Front Physiol. 2021 Oct 05;12:730933. doi: 10.3389/fphys.2021.730933. eCollection 2021.

Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction.

Frontiers in physiology

Aparna C Sankarankutty, Joachim Greiner, Jean Bragard, Joseph R Visker, Thirupura S Shankar, Christos P Kyriakopoulos, Stavros G Drakos, Frank B Sachse

Affiliations

  1. Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT, United States.
  2. Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
  3. Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg?Bad Krozingen, Freiburg, Germany.
  4. Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  5. Department of Physics and Applied Mathematics, School of Sciences, University of Navarra, Pamplona, Spain.
  6. Division of Cardiovascular Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.

PMID: 34675817 PMCID: PMC8523803 DOI: 10.3389/fphys.2021.730933

Abstract

With an estimated 64.3 million cases worldwide, heart failure (HF) imposes an enormous burden on healthcare systems. Sudden death from arrhythmia is the major cause of mortality in HF patients. Computational modeling of the failing heart provides insights into mechanisms of arrhythmogenesis, risk stratification of patients, and clinical treatment. However, the lack of a clinically informed approach to model cardiac tissues in HF hinders progress in developing patient-specific strategies. Here, we provide a microscopy-based foundation for modeling conduction in HF tissues. We acquired 2D images of left ventricular tissues from HF patients (

Copyright © 2021 Sankarankutty, Greiner, Bragard, Visker, Shankar, Kyriakopoulos, Drakos and Sachse.

Keywords: cardiac fibrosis; cardiac modeling; conduction velocity; electrical conduction; heart failure

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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