Evidence map›Paper›PMID 40677932›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Impact of aortic morphology on VA-ECMO performance: a combined statistical shape modeling and CFD approach.

Marilena Mazzoli, Emanuele Gasparotti, Emanuele Vignali, Dorela Haxhiademi, Simona Celi

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. 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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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Marilena MazzoliBioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy.
Emanuele GasparottiBioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy.
Emanuele VignaliBioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy.
Dorela HaxhiademiAnesthesia and Intensive Care Unit, Fondazione Monasterio, Massa, Italy.
Simona CeliBioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The veno-arterial extracorporeal membrane oxygenation (VA ECMO) system is a temporary support procedure to provide oxygenated blood in patients with cardiac or respiratory failure. Despite being widely used in clinical reality, the VA ECMO has some well-known flaws, like the formation of a 'watershed zone' as a consequence of the mixing of native blood from the left ventricle and retrograde oxygenated blood from the ECMO pump. A deeper knowledge of the watershed zone behavior could contribute to better defining the oxygenation balancing for the patient. Methods: From this concept, this study proposes a numerical approach combined with Statistical Shape Modeling (SSM) to evaluate the effect of aortic morphology variations on the different conditions of VA ECMO support. In particular, a new SSM approach was adopted to define 48 synthetic aortic morphologies starting from patient-specific computed tomography datasets. After assessing the morphological differences, the first 10 modes were selected to generate volumetric meshes for a Computational Fluid Dynamics (CFD) analysis. A total of 20 cases were simulated in the healthy conditions, while four cases were simulated with a 70% reduction of cardiac output and three different levels of ECMO support (0, 4, and 6 L/min). Results: From the simulated results, it was possible to assess the behavior of the watershed zone as a function of aortic morphological parameters and ECMO level. Discussion: The results confirmed the significant effect of ECMO level on the position and distribution of the zone.

Indexed as

aortacomputational fluid dynamicsstatistical shape modelVA ECMOwatershed zone

Identifiers

PMID40677932
PMCPMC12267194

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