ArticleJournal of the Royal Society, Interface2023
Parameter inference in a computational model of haemodynamics in pulmonary hypertension.
Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The trial behind it
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Who cites it
22 citing papers in PubMed, 23 citations in OpenAlex.
- Developing a Digital Twin of the Cardiopulmonary System in a Mouse: Inferring Hemodynamics from Sparse Measurements.Annals of biomedical engineering · 2026Article
- Physics-Informed Neural Operators for Parameter Inference in Multi-vessel Cardiovascular Networks.Annals of biomedical engineering · 2026Article
- Accuracy of Measuring Blood Pressure with a Volume Clamp-Based Finger Cuff vs. Arterial Line at Rest and During Exercise in Patients with Pulmonary Hypertension: A Post Hoc Analysis.Journal of clinical medicine · 2026Article
- Multiscale computational modeling of the cardiopulmonary consequences of postnatal hyperoxia with implications for preterm-born children.Biomechanics and modeling in mechanobiology · 2026Article
- Patient-Specific Lumped-Parameter Model for Quantifying Vessel-Specific Remodeling and Predicting Right Ventricular Function in Pulmonary Hypertension.Comprehensive Physiology · 2026Article
- Comparison of Invasive Versus Non-Invasive Pulse Contour-Based Cardiac Output Measurements at Rest and During Exercise in Pulmonary Hypertension.Journal of clinical medicine · 2025Article
- Multiscale Computational Modeling of the Cardiopulmonary Consequences of Postnatal Hyperoxia with Implications for Preterm Born Children.bioRxiv : the preprint server for biology · 2025Article
- Pulmonary Vascular Compromise Is Associated With Survival in Pediatric Pulmonary Hypertension: A New Computational Model.Pulmonary circulation · 2025Article
- Assessment of biomechanical properties in pulmonary arterial hypertension: a computational fluid dynamics study of the extensive pulmonary arterial tree.BMC pulmonary medicine · 2025Article
- Pulmonary Vascular Compromise is Associated with Survival in Pediatric Pulmonary Hypertension: A New Computational Model.medRxiv : the preprint server for health sciences · 2025Article
- A Coupled Model of the Cardiovascular and Immune Systems to Analyze the Effects of COVID-19 Infection.Biotech (Basel (Switzerland)) · 2025Article
- Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients.Journal of the Royal Society, Interface · 2025Article
- Observer- and sequence variability in personalized 4D flow MRI-based cardiovascular models.Scientific reports · 2025Article
- Machine learning-based integration develops an immune-derived signature for diagnosing high-altitude pulmonary hypertension.Frontiers in medicine · 2025Article
- The impact of experimental designs & system sloppiness on the personalisation process: A cardiovascular perspective.PloS one · 2025Article
- Efficient uncertainty quantification in a spatially multiscale model of pulmonary arterial and venous hemodynamics.Biomechanics and modeling in mechanobiology · 2024Article
- The importance of incorporating ventricular-ventricular interaction (VVI) in the study of pulmonary hypertension.Mathematical biosciences · 2024Article
- Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024Review
- A perfectly imperfect engine: Utilizing the digital twin paradigm in pulmonary hypertension.Pulmonary circulation · 2024Review
- A new assessment method for right ventricular diastolic function using right heart catheterization by pressure-volume loop.Physiological reports · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Pulmonary hypertension (PH), defined by a mean pulmonary arterial pressure (mPAP) greater than 20 mmHg, is characterized by increased pulmonary vascular resistance and decreased pulmonary arterial compliance. There are few measurable biomarkers of PH progression, but a conclusive diagnosis of the disease requires invasive right heart catheterization (RHC). Patient-specific cardiovascular systems-level computational models provide a potential non-invasive tool for determining additional indicators of disease severity. Using computational modelling, this study quantifies physiological parameters indicative of disease severity in nine PH patients. The model includes all four heart chambers, the pulmonary and systemic circulations. We consider two sets of calibration data: static (systolic and diastolic values) RHC data and a combination of static and continuous, time-series waveform data. We determine a subset of identifiable parameters for model calibration using sensitivity analyses and multi-start inference and perform posterior uncertainty quantification. Results show that additional waveform data enables accurate calibration of the right atrial reservoir and pump function across the PH cohort. Model outcomes, including stroke work and pulmonary resistance-compliance relations, reflect typical right heart dynamics in PH phenotypes. Lastly, we show that estimated parameters agree with previous, non-modelling studies, supporting this type of analysis in translational PH research.
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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.