Evidence map›Paper›PMID 40104099›Full record

ArticleResuscitation plus2025

Assessment of heart and lung morphology in a single case during cardiopulmonary resuscitation: A virtual simulation.

Jafar Moradicheghamahi, Gerard Fortuny, Josep M López, Dolors Puigjaner, Joan Herrero, Youcef Azeli

Abstract read
In one paragraph

Article in Resuscitation plus, 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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1 · What the graph read from it

What it found

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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

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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

6 authors.

Jafar MoradicheghamahiDepartament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Gerard FortunyDepartament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Josep M LópezDepartament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Dolors PuigjanerDepartament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Joan HerreroDepartament d'Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Youcef AzeliSistema d'Emergències Mèdiques de Catalunya, L'Hospitalet de Llobregat, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Basic science research in cardiopulmonary resuscitation (CPR) is limited by challenges in obtaining haemodynamic data from models that simulate physiological processes. In this study, we assessed the morphology of the heart and lungs and calculated the ejection fractions of cardiac chambers during CPR using a virtual simulation. Methods: A finite element model of a complete thorax, including internal organs, thoracic rib cage, spine, musculature, and a generic material representing soft tissues, was constructed from magentic resonance images of a man. Twelve chest compression simulations were performed with forces ranging from Results: In our numerical simulations a compression depth of 5.06 cm was reached with a force of 450 N. At this depth, the right and left ventricular ejection fractions were 34.0% and 14.4%, respectively, while the right and left atrial ejection fractions were 22.1% and 24.2%, respectively. The cross-sectional area of the outflow tract decreased by 27.5% and 15.6% in the right and left ventricles, respectively. Lung volumes decreased by 193 cm Conclusion: The right ventricle exhibited the highest ejection fraction among the cardiac chambers, and the left atrium showed a higher ejection fraction than the left ventricle during CPR.

Indexed as

Cardiopulmonary resuscitationFinite element modelHaemodynamics

Identifiers

PMID40104099
PMCPMC11914767

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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.