ArticlePloS one2014
Continuous stroke volume estimation from aortic pressure using zero dimensional cardiovascular model: proof of concept study from porcine experiments.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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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
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Efficacy and Safety of Shenfu Injection for Severe Pneumonia in the Elderly: A Systematic Review and Meta-Analysis Based on Western and Eastern Medicine.Frontiers in pharmacology · 2022Pooled it
- The modified arterial reservoir: An update with consideration of asymptotic pressure (Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2020Pooled it
- Feasibility of Zero-Dimensional-Model-Based Pulse Waveform Analysis as a Tool to Detect Ascending Thoracic Aortic Aneurysm Growth.Journal of biomechanical engineering · 2026Article
- Sensitivity analysis of closed-loop one-chamber and four-chamber models with baroreflex.PLoS computational biology · 2024Article
- Accurate end systole detection in dicrotic notch-less arterial pressure waveforms.Journal of clinical monitoring and computing · 2021Article
- Determining the Temporal Profile of Intracranial Pressure Changes Following Transient Stroke in an Ovine Model.Frontiers in neuroscience · 2019Article
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
- Improved pressure contour analysis for estimating cardiac stroke volume using pulse wave velocity measurement.Biomedical engineering online · 2017Article
- Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance.Biomedical engineering online · 2017Article
- Minimally invasive estimation of ventricular dead space volume through use of Frank-Starling curves.PloS one · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAccurate, continuous, left ventricular stroke volume (SV) measurements can convey large amounts of information about patient hemodynamic status and response to therapy. However, direct measurements are highly invasive in clinical practice, and current procedures for estimating SV require specialized devices and significant approximation.
methodThis study investigates the accuracy of a three element Windkessel model combined with an aortic pressure waveform to estimate SV. Aortic pressure is separated into two components capturing; 1) resistance and compliance, 2) characteristic impedance. This separation provides model-element relationships enabling SV to be estimated while requiring only one of the three element values to be known or estimated. Beat-to-beat SV estimation was performed using population-representative optimal values for each model element. This method was validated using measured SV data from porcine experiments (N = 3 female Pietrain pigs, 29-37 kg) in which both ventricular volume and aortic pressure waveforms were measured simultaneously.
resultsThe median difference between measured SV from left ventricle (LV) output and estimated SV was 0.6 ml with a 90% range (5th-95th percentile) -12.4 ml-14.3 ml. During periods when changes in SV were induced, cross correlations in between estimated and measured SV were above R = 0.65 for all cases.
conclusionThe method presented demonstrates that the magnitude and trends of SV can be accurately estimated from pressure waveforms alone, without the need for identification of complex physiological metrics where strength of correlations may vary significantly from patient to patient.
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