Evidence map›Paper›PMID 42234305›Full record

ArticleBiomechanics and modeling in mechanobiology2026

A monolithic patient-specific 3D-0D model for In silico investigation of hemodynamics in patients with left ventricular assist devices.

Mia Bonini, Marc Hirschvogel, Michael Ferguson, Francis Pagani, Paul C Tang, David Nordsletten

Abstract read
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Article in Biomechanics and modeling in mechanobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mia BoniniDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. mbonini@umich.edu.
Marc HirschvogelDivision 2.2 Process Simulation, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany.
Michael FergusonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Francis PaganiDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.
Paul C TangDepartment of Cardiac Surgery, Mayo Clinic, Rochester, MN, USA.
David NordslettenDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a fully coupled, patient-specific 3D-0D computational framework for hearts supported with left ventricular assist devices (LVAD) that enables controlled in silico experimentation. The approach monolithically integrates three-dimensional CFD of the left ventricle (LV), left atrium (LA), aortic root, and LVAD cannulae with a closed-loop 0D lumped parameter network of the full circulation. Mitral and aortic valve dynamics are governed by transvalvular pressure and flow with patient-specific regurgitant orifice areas, and the LVAD is represented via a pressure-flow (H-Q) relation. This manuscript provides the complete mathematical formulation, coupling strategy, and parameterization required to build a reproducible pipeline from dynamic CT, 2D transthoracic echocardiography, and right heart catheterization. This methodology is demonstrated in a patient under long-term support of LVAD and concomitant mitral and aortic regurgitation. The personalized, fully coupled 3D-0D models reproduced available clinical targets with a mean error of 8.6%, enabling controlled in silico interrogation of valve repair strategies. In the patient-specific state, simulated mitral and aortic regurgitant volumes were 6.6 and 6.5 mL per cycle, yielding a forward cardiac output of 3.16 L/min despite an LVAD flow of 3.7 L/min. In silico isolated mitral valve (MV) repair, isolated aortic valve (AV) repair, and combined MV+AV repair increased forward output to 3.41, 3.33, and 3.55 L/min, respectively; however, aortic valve opening and increased aortic pressure pulsatility (up to 38.9 vs. 13.5 mmHg) were observed only when MV repair was involved. These left-sided improvements propagated through the cardiopulmonary circulation, reducing pulmonary pressures and right ventricular loading, with the largest benefit observed following combined repair. We show that the modeling platform presented provides a powerful means to study mechanical circulatory support, enabling patient-specific evaluation of surgical interventions in patients with LVAD and delivering quantitative insight into clinically important metrics-such as aortic pulsatility, RV afterload, and chamber-level flow patterns.

Indexed as

Computer SimulationHeart-Assist DevicesHeart VentriclesHemodynamicsImaging, Three-DimensionalModels, CardiovascularPatient-Specific ModelingHumansComputational fluid dynamicsHemodynamic modelingLeft ventricle assist deviceLumped parameter modelingPatient-specific modeling

Identifiers

PMID42234305
PMCPMC13234087

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.