ArticleAnnals of biomedical engineering2016
Modeling Pathologies of Diastolic and Systolic Heart Failure.
Article in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.
- Sex Matters: A Comprehensive Comparison of Female and Male Hearts.Frontiers in physiology · 2022Pooled it
- A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026Article
- Inverse analysis of patient-specific parameters of a 3D-0D closed-loop cardiovascular model with an exemplary application to an adult tetralogy of Fallot case.Biomechanics and modeling in mechanobiology · 2025Article
- Pre-Clinical Models of Heart Failure with Preserved Ejection Fraction: Advancing Knowledge for Device Based Therapies.Annals of biomedical engineering · 2025Review
- Computational modelling of the impact of anatomical changes on ECGs in left ventricular hypertrophy.The Journal of physiology · 2025Article
- Assessing post-TAVR cardiac conduction abnormalities risk using an electromechanically coupled beating heart.Biomechanics and modeling in mechanobiology · 2025Article
- Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.Computers in biology and medicine · 2025Article
- Synergistic Biophysics and Machine Learning Modeling to Rapidly Predict Cardiac Growth Probability.bioRxiv : the preprint server for biology · 2024Article
- Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024Article
- Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.Frontiers in physics · 2023Article
- A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis.Nature biomedical engineering · 2022Article
- How viscous is the beating heart?: Insights from a computational study.Computational mechanics · 2022Article
- An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticity.Computer methods in applied mechanics and engineering · 2022Article
- Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods.Frontiers in physiology · 2022Article
- Material property alterations for phenotypes of heart failure with preserved ejection fraction: A numerical study of subject-specific porcine models.Frontiers in bioengineering and biotechnology · 2022Article
- Computational models of ventricular mechanics and adaptation in response to right-ventricular pressure overload.Frontiers in physiology · 2022Review
- Left Ventricle Biomechanics of Low-Flow, Low-Gradient Aortic Stenosis: A Patient-Specific Computational Model.Frontiers in physiology · 2022Article
- A Direct Comparison of Node and Element-Based Finite Element Modeling Approaches to Study Tissue Growth.Journal of biomechanical engineering · 2022Article
- Computational Modeling Studies of the Roles of Left Ventricular Geometry, Afterload, and Muscle Contractility on Myocardial Strains in Heart Failure with Preserved Ejection Fraction.Journal of cardiovascular translational research · 2021Article
- Patient-Specific Analysis of Ascending Thoracic Aortic Aneurysm with the Living Heart Human Model.Bioengineering (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 2 countries.
Funding
Abstract
Chronic heart failure is a medical condition that involves structural and functional changes of the heart and a progressive reduction in cardiac output. Heart failure is classified into two categories: diastolic heart failure, a thickening of the ventricular wall associated with impaired filling; and systolic heart failure, a dilation of the ventricles associated with reduced pump function. In theory, the pathophysiology of heart failure is well understood. In practice, however, heart failure is highly sensitive to cardiac microstructure, geometry, and loading. This makes it virtually impossible to predict the time line of heart failure for a diseased individual. Here we show that computational modeling allows us to integrate knowledge from different scales to create an individualized model for cardiac growth and remodeling during chronic heart failure. Our model naturally connects molecular events of parallel and serial sarcomere deposition with cellular phenomena of myofibrillogenesis and sarcomerogenesis to whole organ function. Our simulations predict chronic alterations in wall thickness, chamber size, and cardiac geometry, which agree favorably with the clinical observations in patients with diastolic and systolic heart failure. In contrast to existing single- or bi-ventricular models, our new four-chamber model can also predict characteristic secondary effects including papillary muscle dislocation, annular dilation, regurgitant flow, and outflow obstruction. Our prototype study suggests that computational modeling provides a patient-specific window into the progression of heart failure with a view towards personalized treatment planning.
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Registered trials
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.