Cardiac output estimation using pulse wave analysis-physiology, algorithms, and technologies: a narrative review

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Cardiac output estimation using pulse wave analysis-physiology, algorithms, and technologies: a narrative review. / Saugel, Bernd; Kouz, Karim; Scheeren, Thomas W L; Greiwe, Gillis; Hoppe, Phillip; Romagnoli, Stefano; de Backer, Daniel.

in: BRIT J ANAESTH, Jahrgang 126, Nr. 1, 01.2021, S. 67-76.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ReviewForschung

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@article{01ea8eb0c9d547ee8739d0957d444ff7,
title = "Cardiac output estimation using pulse wave analysis-physiology, algorithms, and technologies: a narrative review",
abstract = "Pulse wave analysis (PWA) allows estimation of cardiac output (CO) based on continuous analysis of the arterial blood pressure (AP) waveform. We describe the physiology of the AP waveform, basic principles of PWA algorithms for CO estimation, and PWA technologies available for clinical practice. The AP waveform is a complex physiological signal that is determined by interplay of left ventricular stroke volume, systemic vascular resistance, and vascular compliance. Numerous PWA algorithms are available to estimate CO, including Windkessel models, long time interval or multi-beat analysis, pulse power analysis, or the pressure recording analytical method. Invasive, minimally-invasive, and noninvasive PWA monitoring systems can be classified according to the method they use to calibrate estimated CO values in externally calibrated systems, internally calibrated systems, and uncalibrated systems.",
author = "Bernd Saugel and Karim Kouz and Scheeren, {Thomas W L} and Gillis Greiwe and Phillip Hoppe and Stefano Romagnoli and {de Backer}, Daniel",
note = "Copyright {\textcopyright} 2020 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.",
year = "2021",
month = jan,
doi = "10.1016/j.bja.2020.09.049",
language = "English",
volume = "126",
pages = "67--76",
journal = "BRIT J ANAESTH",
issn = "0007-0912",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - Cardiac output estimation using pulse wave analysis-physiology, algorithms, and technologies: a narrative review

AU - Saugel, Bernd

AU - Kouz, Karim

AU - Scheeren, Thomas W L

AU - Greiwe, Gillis

AU - Hoppe, Phillip

AU - Romagnoli, Stefano

AU - de Backer, Daniel

N1 - Copyright © 2020 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.

PY - 2021/1

Y1 - 2021/1

N2 - Pulse wave analysis (PWA) allows estimation of cardiac output (CO) based on continuous analysis of the arterial blood pressure (AP) waveform. We describe the physiology of the AP waveform, basic principles of PWA algorithms for CO estimation, and PWA technologies available for clinical practice. The AP waveform is a complex physiological signal that is determined by interplay of left ventricular stroke volume, systemic vascular resistance, and vascular compliance. Numerous PWA algorithms are available to estimate CO, including Windkessel models, long time interval or multi-beat analysis, pulse power analysis, or the pressure recording analytical method. Invasive, minimally-invasive, and noninvasive PWA monitoring systems can be classified according to the method they use to calibrate estimated CO values in externally calibrated systems, internally calibrated systems, and uncalibrated systems.

AB - Pulse wave analysis (PWA) allows estimation of cardiac output (CO) based on continuous analysis of the arterial blood pressure (AP) waveform. We describe the physiology of the AP waveform, basic principles of PWA algorithms for CO estimation, and PWA technologies available for clinical practice. The AP waveform is a complex physiological signal that is determined by interplay of left ventricular stroke volume, systemic vascular resistance, and vascular compliance. Numerous PWA algorithms are available to estimate CO, including Windkessel models, long time interval or multi-beat analysis, pulse power analysis, or the pressure recording analytical method. Invasive, minimally-invasive, and noninvasive PWA monitoring systems can be classified according to the method they use to calibrate estimated CO values in externally calibrated systems, internally calibrated systems, and uncalibrated systems.

U2 - 10.1016/j.bja.2020.09.049

DO - 10.1016/j.bja.2020.09.049

M3 - SCORING: Review article

C2 - 33246581

VL - 126

SP - 67

EP - 76

JO - BRIT J ANAESTH

JF - BRIT J ANAESTH

SN - 0007-0912

IS - 1

ER -