Acausal modelling of advanced-stage heart failure and the Istanbul heart ventricular assist device support with patient data

dc.contributor.authorid0000-0002-8316-9623
dc.contributor.authorid0000-0001-5969-3823
dc.contributor.authorid0000-0001-9034-9350
dc.contributor.coauthorKucukaksu, Deniz Sueha
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.kuauthorLazoğlu, İsmail
dc.contributor.kuauthorMehmood, Khunsha
dc.contributor.kuauthorArshad, Munam
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileResearcher
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid179391
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.date.accessioned2025-01-19T10:32:58Z
dc.date.issued2023
dc.description.abstractBackgroundIn 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.MethodsA 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.ResultsRegurgitation, 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.ConclusionThe 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.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue5
dc.description.publisherscopeInternational
dc.description.sponsorsThis Research Project (318S143) was funded by the Scientific and Technological Research Council of Turkey (TUBITAK).
dc.description.volume14
dc.identifier.doi10.1007/s13239-023-00683-1
dc.identifier.eissn1869-4098
dc.identifier.issn1869-408X
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-85171423963
dc.identifier.urihttps://doi.org/10.1007/s13239-023-00683-1
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26518
dc.identifier.wos1069034900002
dc.keywordsAcausal lumped parameter modelling
dc.keywordsLeft ventricular assist device
dc.keywordsHFrEF
dc.keywordsOptimal hemodynamics
dc.languageen
dc.publisherSpringer
dc.relation.grantnoScientific and Technological Research Council of Turkey (TUBITAK); [318S143]
dc.sourceCardiovascular Engineering and Technology
dc.subjectCardiovascular systems
dc.subjectEngineering
dc.subjectBiomedical
dc.titleAcausal modelling of advanced-stage heart failure and the Istanbul heart ventricular assist device support with patient data
dc.typeJournal Article

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