ArticleAmerican journal of physiology. Heart and circulatory physiology2015
Reducing the number of parameters in 1D arterial blood flow modeling: less is more for patient-specific simulations.
Article in American journal of physiology. Heart and circulatory physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04817137 (Validation of a Novel Non-invasive Continuous Blood Pressure Monitor in Children Ages 2- 17 Years-old), which is not on this map. Cited by 22 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.
Validation of a Novel Non-invasive Continuous Blood Pressure Monitor in Children Ages 2- 17 Years-old
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Simulating impaired left ventricular-arterial coupling in aging and disease: a systematic review.Biomedical engineering online · 2024Pooled it
- Continuous Non-invasive finger cuff CareTaker® comparable to invasive intra-arterial pressure in patients undergoing major intra-abdominal surgery.BMC anesthesiology · 2017Trial
- Synthetic, Population-Based Virtual Patient Database Using a Digital Twin of the Cardiovascular System.Cardiovascular engineering and technology · 2026Article
- Uncertainty quantification of the pressure waveform using a Windkessel model.International journal for numerical methods in biomedical engineering · 2024Article
- Unraveling the complexity of vascular tone regulation: a multiscale computational approach to integrating chemo-mechano-biological pathways with cardiovascular biomechanics.Biomechanics and modeling in mechanobiology · 2024Article
- Article
- Accelerated simulation methodologies for computational vascular flow modelling.Journal of the Royal Society, Interface · 2024Review
- Estimating Blood Pressure during Exercise with a Cuffless Sphygmomanometer.Sensors (Basel, Switzerland) · 2023Article
- A Vector Fitting Approach for the Automated Estimation of Lumped Boundary Conditions of 1D Circulation Models.Cardiovascular engineering and technology · 2023Article
- Automated model calibration with parallel MCMC: Applications for a cardiovascular system model.Frontiers in physiology · 2022Article
- A coupling strategy for a first 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function.Computational mechanics · 2022Article
- Multiscale modeling of blood flow to assess neurological complications in patients supported by venoarterial extracorporeal membrane oxygenation.Computers in biology and medicine · 2021Article
- Estimating central blood pressure from aortic flow: development and assessment of algorithms.American journal of physiology. Heart and circulatory physiology · 2021Article
- Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries.Journal of the Royal Society, Interface · 2019Article
- Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling.IEEE transactions on bio-medical engineering · 2019Article
- Multiscale mathematical modeling vs. the generalized transfer function approach for aortic pressure estimation: a comparison with invasive data.Hypertension research : official journal of the Japanese Society of Hypertension · 2019Article
- Article
- Optimization of topological complexity for one-dimensional arterial blood flow models.Journal of the Royal Society, Interface · 2018Article
- Patient-Specific Cardiovascular Computational Modeling: Diversity of Personalization and Challenges.Journal of cardiovascular translational research · 2018Review
- Uncertainty Quantification in a Patient-Specific One-Dimensional Arterial Network Model: EnKF-Based Inflow Estimator.Journal of verification, validation, and uncertainty quantification · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Patient-specific one-dimensional (1D) blood flow modeling requires estimating model parameters from available clinical data, ideally acquired noninvasively. The larger the number of arterial segments in a distributed 1D model, the greater the number of input parameters that need to be estimated. We investigated the effect of a reduction in the number of arterial segments in a given distributed 1D model on the shape of the simulated pressure and flow waveforms. This is achieved by systematically lumping peripheral 1D model branches into windkessel models that preserve the net resistance and total compliance of the original model. We applied our methodology to a model of the 55 larger systemic arteries in the human and to an extended 67-artery model that contains the digital arteries that perfuse the fingers. Results show good agreement in the shape of the aortic and digital waveforms between the original 55-artery (67-artery) and reduced 21-artery (37-artery) models. Reducing the number of segments also enables us to investigate the effect of arterial network topology (and hence reflection sites) on the shape of waveforms. Results show that wave reflections in the thoracic aorta and renal arteries play an important role in shaping the aortic pressure and flow waves and in generating the second peak of the digital pressure and flow waves. Our novel methodology is important to simplify the computational domain while maintaining the precision of the numerical predictions and to assess the effect of wave reflections.
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Registered trials
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