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Acausal Modelling of Advanced-Stage Heart Failure and the Istanbul Heart Ventricular Assist Device Support with Patient Data

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Abstract

Background

In object-oriented or acausal modelling, components of the model can be connected topologically, following the inherent structure of the physical system, and system equations can be formulated automatically. This technique allows individuals without a mathematics background to develop knowledge-based models and facilitates collaboration in multidisciplinary fields like biomedical engineering. This study conducts a preclinical evaluation of a ventricular assist device (VAD) in assisting advanced-stage heart failure patients in an acausal modelling environment.

Methods

A comprehensive object-oriented model of the cardiovascular system with a VAD is developed in MATLAB/SIMSCAPE, and its hemodynamic behaviour is studied. An analytically derived pump model is calibrated for the experimental prototype of the Istanbul Heart VAD. Hemodynamics are produced under healthy, diseased, and assisted conditions. The study features a comprehensive collection of advanced-stage heart failure patients’ data from the literature to identify parameters for disease modelling and to validate the resulting hemodynamics.

Results

Regurgitation, suction, and optimal speeds are identified, and trends in different hemodynamic parameters are observed for the simulated pathophysiological conditions. Using pertinent parameters in disease modelling allows for more accurate results compared to the traditional approach of arbitrary reduction in left ventricular contractility to model dilated cardiomyopathy.

Conclusion

The current research provides a comprehensive and validated framework for the preclinical evaluation of cardiac assist devices. Due to its object-oriented nature, the featured model is readily modifiable for other cardiovascular diseases for studying the effect of pump operating conditions on hemodynamics and vice versa in silico and hybrid mock circulatory loops. The work also provides a potential teaching tool for understanding the pathophysiology of heart failure, diagnosis rationale, and degree of assist requirements.

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Funding

This Research Project (318S143) was funded by the Scientific and Technological Research Council of Turkey (TUBITAK).

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Authors and Affiliations

  1. Department of Mechanical Engineering, Koç University, 34450, Istanbul, Turkey

    Khunsha Mehmood & Ismail Lazoglu

  2. Cardiovascular Surgery Department, School of Medicine, Başkent University, 34662, Istanbul, Turkey

    Deniz Süha Küçükaksu

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Contributions

KM proposed and conducted the research, drafted the manuscript, and conducted revisions. IL supervised the doctoral research and revised the manuscript. SK advised on the disease modelling and provided clinical insights for the research. All authors approved the submission of the paper.

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Correspondence to Ismail Lazoglu.

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Mehmood, K., Lazoglu, I. & Küçükaksu, D. Acausal Modelling of Advanced-Stage Heart Failure and the Istanbul Heart Ventricular Assist Device Support with Patient Data. Cardiovasc Eng Tech 14, 726–741 (2023). https://doi.org/10.1007/s13239-023-00683-1

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