Evidence map›Paper›PMID 41081383›Full record

ArticleArtificial organs2026

Trial-Based Hemolysis Modeling to Investigate Operating Modes of Continuous-Flow LVADs.

Patrick Borchers, Steffen Leonhardt, Marian Walter

Abstract read
In one paragraph

Article in Artificial organs, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Patrick BorchersChair for Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0009-0006-3736-0474
Steffen LeonhardtChair for Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
Marian WalterChair for Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.

Funding

Deutsche Forschungsgemeinschaft
6 · The paper itself

Abstract

backgroundThe influence of operating modes on pump-induced hemolysis in continuous-flow left ventricular assist devices (LVADs) can be assessed using computational fluid dynamics (CFD) simulations alongside power law models derived from shearing device experiments. However, this conventional method incurs high computational costs, limiting the exploration of diverse operating conditions and hindering online hemolysis prediction. This work presents a CFD-free and trial-based methodology for determining online-capable hemolysis models for continuous-flow LVADs.

methodsThe trial-based hemolysis model is based on a modified power law model, with parameters identified from LVAD hemolysis trials. The dynamic behavior is modeled using the Lagrangian approach. Specifically, this model was determined for the Sputnik1 LVAD and integrated with a lumped-parameter model of the LVAD-supported cardiovascular system. Subsequently, hemolysis was predicted across various operating modes and patient conditions.

resultsThe RMSE and the R DISCUSSION: The proposed hemolysis model allows to assess various LVAD operating modes and patient conditions, assisting in the selection of low-hemolysis treatment strategies. For Sputnik1 patients, it is advisable to maintain low pump speed and systemic resistance, while speed modulation should be reserved for those with low hemolysis markers. Integrating this model with online flow sensing would enable online hemolysis prediction.

Indexed as

Heart-Assist DevicesHemolysisModels, CardiovascularComputer SimulationHumansHydrodynamicsProsthesis Designaxial‐flow pumphemolysis modelingin vitro trialsLagrangian approachleft ventricular assist devicemodel identificationpower law modelspeed modulationSputnik1

Identifiers

PMID41081383
PMCPMC12993265

What OpenQuestion holds

Textmetadata
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.