Evidence map›Paper›PMID 35292915›Full record

ArticleCardiovascular engineering and technology2022

Embedded Computational Heart Model for External Ventricular Assist Device Investigations.

Thomas Kummer, Simone Rossi, Stijn Vandenberghe, Stefanos Demertzis, Patrick Jenny

Open access · hybridAbstract read
In one paragraph

Article in Cardiovascular engineering and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 55% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Direct Cardiac Compression Device for Short-Term Mechanical Circulatory Support.ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Thomas KummerDepartment of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland. kummer@ifd.mavt.ethz.ch.ORCID 0000-0003-2171-1605
Simone RossiMathematics Department, University of North Carolina, Chapel Hill, NC, USA.
Stijn VandenbergheCardiovascular Engineering, Cardiocentro Ticino, Lugano, Switzerland.
Stefanos DemertzisFaculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.
Patrick JennyDepartment of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland.
Epatocentro Ticino · CHETH Zurich · CHUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExternal cardiac assist devices are based on a promising and simple concept for treating heart failure, but they are surprisingly difficult to design. Thus, a structured approach combining experiments with computer-based optimization is essential. The latter provides the motivation for the work presented in this paper.

methodsWe present a computational modeling framework for realistic representation of the heart's tissue structure, electrophysiology and actuation. The passive heart tissue is described by a nonlinear anisotropic material law, considering fiber and sheetlet directions. For muscle contraction, an orthotropic active-strain model is employed, initiated by a periodically propagating electrical potential. The model allows for boundary conditions at the epicardium accounting for external assist devices, and it is coupled to a circulation network providing appropriate pressure boundary conditions inside the ventricles.

resultsSimulated results from an unsupported healthy and a pathological heart model are presented and reproduce accurate deformations compared to phenomenological measurements. Moreover, cardiac output and ventricular pressure signals are in good agreement too. By investigating the impact of applying an exemplary external actuation to the pathological heart model, it shows that cardiac patches can restore a healthy blood flow.

conclusionWe demonstrate that the devised computational modeling framework is capable of predicting characteristic trends (e.g. apex shortening, wall thickening and apex twisting) of a healthy heart, and that it can be used to study pathological hearts and external activation thereof.

Indexed as

Heart-Assist DevicesHeart FailureComputer SimulationHeartHeart VentriclesHumansModels, CardiovascularActive strain actuationDirect cardiac contractorExternal ventricular assist deviceHydraulic network modelLumped parameter circulationMedical device developmentThree dimensional heart modeling

Identifiers

PMID35292915
PMCPMC9616791
OpenAlexW4220871170

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.