Distinct morphologies of arterial waveforms reveal preload‐, contractility‐, and afterload‐deficient hemodynamic instability: An in silico simulation study

Mulder, Marijn P; Broomé, Michael; Donker, Dirk W.; Westerhof, Berend E.

doi:10.14814/phy2.15242

Cited by 7 publications

(2 citation statements)

References 65 publications

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“…The vasculature may be divided into several compartments representing, for example, thoracic, abdominal, and more distal vasculatures. Closed-loop models are used to study cardiac and vascular pathophysiology for the whole CV system in the neonate, children, and adult ( 5 , 154 , 155 ) and the effect of aging ( 156 ). Changes or redistribution of blood volume (e.g., by a changed unstressed volume of the veins) can be modeled in a straightforward manner, as well as the effects of autonomic control of the heart and vasculature ( 138 , 151 , 157 ).…”

Section: Pulse Wave Modelsmentioning

confidence: 99%

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

Alastruey

Charlton

Bikia

et al. 2023

American Journal of Physiology-Heart and Circulatory Physiology

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Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram signals contain a wealth of information on the cardiovascular (CV) system that can be exploited to assess vascular age and identify individuals at elevated CV risk. We review the possibilities, limitations, complementarity, and differences of reduced-order, biophysical models of arterial PW propagation, as well as theoretical and empirical methods for analysing PW signals and extracting clinically relevant information for vascular age assessment. We provide detailed mathematical derivations of these models and theoretical methods, showing how they are related to each other. Lastly, we outline directions for future research to realise the potential of modelling and analysis of PW signals for accurate assessment of vascular age in both the clinic and in daily life.

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Section: Pulse Wave Modelsmentioning

confidence: 99%

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

Alastruey

Charlton

Bikia

et al. 2023

American Journal of Physiology-Heart and Circulatory Physiology

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“…Yet, dedicated modeling approaches are even suitable to perform advanced arterial waveform analyses. Insights derived from such modeling studies are hypothesis generating but may ultimately advance hemodynamic diagnostics, monitoring and individualized tailoring of heart failure and cardiogenic shock therapy [8 ▪ ].…”

Section: Computational Physiological Modelsmentioning

confidence: 99%

Understanding the complexity of cardiogenic shock management: the added value of advanced computational modeling

Meuwese,

van Loon,

Donker

2024

Current Opinion in Critical Care

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Purpose of review The purpose of this review is to explain the value of computational physiological modeling for in-depth understanding of the complex derangements of cardiopulmonary pathophysiology during cardiogenic shock, particularly when treated with temporary mechanical circulatory support (tMCS) devices. Recent findings Computational physiological models have evolved in recent years and can provide a high degree of clinical realism in the simulation of cardiogenic shock and related conservative and interventional therapies. These models feature a large spectrum of practically relevant hemodynamic and respiratory parameters tunable to patient-specific disease states as well as adjustable to medical therapies and support device settings. Current applications work in real-time and can operate on an ordinary computer, laptop or mobile device. Summary The use of computational physiological models is increasingly appreciated for educational purposes as they help to understand the complexity of cardiogenic shock, especially when sophisticated management of tMCS is involved in addition to multimodal critical care support. Practical implementation of computational models as clinical decision support tools at the bedside is at the horizon but awaits rigorous clinical validation.

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ERAS/STS 2024 Expert Consensus Statement on Perioperative Care in Cardiac Surgery: Continuing the Evolution of Optimized Patient Care and Recovery

Gregory,

Ender,

Shaw

et al. 2024

Journal of Cardiothoracic and Vascular Anesthesia

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Distinct morphologies of arterial waveforms reveal preload‐, contractility‐, and afterload‐deficient hemodynamic instability: An in silico simulation study

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 7 publications

References 65 publications

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

Understanding the complexity of cardiogenic shock management: the added value of advanced computational modeling

ERAS/STS 2024 Expert Consensus Statement on Perioperative Care in Cardiac Surgery: Continuing the Evolution of Optimized Patient Care and Recovery

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