ArticleScientific reports2021
Understanding and recognition of the right ventricular function and dysfunction via a numerical study.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 18 citations in OpenAlex.
- A monolithic patient-specific 3D-0D model for In silico investigation of hemodynamics in patients with left ventricular assist devices.Biomechanics and modeling in mechanobiology · 2026Article
- Brain‑heart axis: Neurostimulation techniques in ischemic heart disease (Review).International journal of molecular medicine · 2025Review
- The impact of experimental designs & system sloppiness on the personalisation process: A cardiovascular perspective.PloS one · 2025Article
- Impact of Pre-Transplant Left Ventricular Diastolic Pressure on Primary Graft Dysfunction after Lung Transplantation: A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
- Acausal Modelling of Advanced-Stage Heart Failure and the Istanbul Heart Ventricular Assist Device Support with Patient Data.Cardiovascular engineering and technology · 2023Article
- Mechanical Dyssynchrony of Isolated Left and Right Ventricular Human Myocardium in End-Stage Heart Failure.Circulation. Heart failure · 2023Article
- Computational modeling of ventricular-ventricular interactions suggest a role in clinical conditions involving heart failure.Frontiers in physiology · 2023Article
- Distensibility of Deformable Aortic Replicas Assessed by an Integrated In-Vitro and In-Silico Approach.Bioengineering (Basel, Switzerland) · 2022Article
- Numerical Models Can Assist Choice of an Aortic Phantom for In Vitro Testing.Bioengineering (Basel, Switzerland) · 2021Article
- How Right is the Right Ventricle in Predicting Cardiac Mortality in Cardiac Failure: A 6-year Prospective Cohort Study.Journal of cardiovascular echographyArticle
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role played by the right ventricular (RV) dysfunction has long been underestimated in clinical practice. Recent findings are progressively confirming that when the RV efficiency deteriorates both the right and the left circulation is (significantly) affected, but studies dedicated to a detailed description of RV hemodynamic role still lack. In response to such a gap in knowledge, this work proposes a numerical model that for the first time evaluates the effect of isolated RV dysfunction on the whole circulation. Lumped parameter modelling was applied to represent the physio-pathological hemodynamics. Different grades of impairment were simulated for three dysfunctions i.e., systolic, diastolic, and combined systolic and diastolic. Hemodynamic alterations (i.e., of blood pressure, flow, global hemodynamic parameters), arising from the dysfunctions, are calculated and analysed. Results well accord with clinical observations, showing that RV dysfunction significantly affects both the pulmonary and systemic hemodynamics. Successful verification against in vivo data proved the clinical potentiality of the model i.e., the capability of identifying the degree of RV impairment for given hemodynamic conditions. This study aims at contributing to the improvement of RV dysfunction recognition and treatment, and to the development of tools for the clinical management of pathologies involving the right heart.
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