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Validation of the pulse decomposition analysis algorithm using central arterial blood pressure

BACKGROUND: There is a significant need for continuous noninvasive blood pressure (cNIBP) monitoring, especially for anesthetized surgery and ICU recovery. cNIBP systems could lower costs and expand the use of continuous blood pressure monitoring, lowering risk and improving outcomes. The test syste...

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Autores principales: Baruch, Martin C, Kalantari, Kambiz, Gerdt, David W, Adkins, Charles M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105793/
https://www.ncbi.nlm.nih.gov/pubmed/25005686
http://dx.doi.org/10.1186/1475-925X-13-96
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author Baruch, Martin C
Kalantari, Kambiz
Gerdt, David W
Adkins, Charles M
author_facet Baruch, Martin C
Kalantari, Kambiz
Gerdt, David W
Adkins, Charles M
author_sort Baruch, Martin C
collection PubMed
description BACKGROUND: There is a significant need for continuous noninvasive blood pressure (cNIBP) monitoring, especially for anesthetized surgery and ICU recovery. cNIBP systems could lower costs and expand the use of continuous blood pressure monitoring, lowering risk and improving outcomes. The test system examined here is the CareTaker® and a pulse contour analysis algorithm, Pulse Decomposition Analysis (PDA). PDA’s premise is that the peripheral arterial pressure pulse is a superposition of five individual component pressure pulses that are due to the left ventricular ejection and reflections and re-reflections from only two reflection sites within the central arteries. The hypothesis examined here is that the model’s principal parameters P2P1 and T13 can be correlated with, respectively, systolic and pulse pressures. METHODS: Central arterial blood pressures of patients (38 m/25 f, mean age: 62.7 y, SD: 11.5 y, mean height: 172.3 cm, SD: 9.7 cm, mean weight: 86.8 kg, SD: 20.1 kg) undergoing cardiac catheterization were monitored using central line catheters while the PDA parameters were extracted from the arterial pulse signal obtained non-invasively using CareTaker system. RESULTS: Qualitative validation of the model was achieved with the direct observation of the five component pressure pulses in the central arteries using central line catheters. Statistically significant correlations between P2P1 and systole and T13 and pulse pressure were established (systole: R square: 0.92 (p < 0.0001), diastole: R square: 0.78 (p < 0.0001). Bland-Altman comparisons between blood pressures obtained through the conversion of PDA parameters to blood pressures of non-invasively obtained pulse signatures with catheter-obtained blood pressures fell within the trend guidelines of the Association for the Advancement of Medical Instrumentation SP-10 standard (standard deviation: 8 mmHg(systole: 5.87 mmHg, diastole: 5.69 mmHg)). CONCLUSIONS: The results indicate that arterial blood pressure can be accurately measured and tracked noninvasively and continuously using the CareTaker system and the PDA algorithm. The results further support the physical model that all of the features of the pressure pulse envelope, whether in the central arteries or in the arterial periphery, can be explained by the interaction of the left ventricular ejection pressure pulse with two centrally located reflection sites.
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spelling pubmed-41057932014-07-23 Validation of the pulse decomposition analysis algorithm using central arterial blood pressure Baruch, Martin C Kalantari, Kambiz Gerdt, David W Adkins, Charles M Biomed Eng Online Research BACKGROUND: There is a significant need for continuous noninvasive blood pressure (cNIBP) monitoring, especially for anesthetized surgery and ICU recovery. cNIBP systems could lower costs and expand the use of continuous blood pressure monitoring, lowering risk and improving outcomes. The test system examined here is the CareTaker® and a pulse contour analysis algorithm, Pulse Decomposition Analysis (PDA). PDA’s premise is that the peripheral arterial pressure pulse is a superposition of five individual component pressure pulses that are due to the left ventricular ejection and reflections and re-reflections from only two reflection sites within the central arteries. The hypothesis examined here is that the model’s principal parameters P2P1 and T13 can be correlated with, respectively, systolic and pulse pressures. METHODS: Central arterial blood pressures of patients (38 m/25 f, mean age: 62.7 y, SD: 11.5 y, mean height: 172.3 cm, SD: 9.7 cm, mean weight: 86.8 kg, SD: 20.1 kg) undergoing cardiac catheterization were monitored using central line catheters while the PDA parameters were extracted from the arterial pulse signal obtained non-invasively using CareTaker system. RESULTS: Qualitative validation of the model was achieved with the direct observation of the five component pressure pulses in the central arteries using central line catheters. Statistically significant correlations between P2P1 and systole and T13 and pulse pressure were established (systole: R square: 0.92 (p < 0.0001), diastole: R square: 0.78 (p < 0.0001). Bland-Altman comparisons between blood pressures obtained through the conversion of PDA parameters to blood pressures of non-invasively obtained pulse signatures with catheter-obtained blood pressures fell within the trend guidelines of the Association for the Advancement of Medical Instrumentation SP-10 standard (standard deviation: 8 mmHg(systole: 5.87 mmHg, diastole: 5.69 mmHg)). CONCLUSIONS: The results indicate that arterial blood pressure can be accurately measured and tracked noninvasively and continuously using the CareTaker system and the PDA algorithm. The results further support the physical model that all of the features of the pressure pulse envelope, whether in the central arteries or in the arterial periphery, can be explained by the interaction of the left ventricular ejection pressure pulse with two centrally located reflection sites. BioMed Central 2014-07-08 /pmc/articles/PMC4105793/ /pubmed/25005686 http://dx.doi.org/10.1186/1475-925X-13-96 Text en Copyright © 2014 Baruch et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Baruch, Martin C
Kalantari, Kambiz
Gerdt, David W
Adkins, Charles M
Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
title Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
title_full Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
title_fullStr Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
title_full_unstemmed Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
title_short Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
title_sort validation of the pulse decomposition analysis algorithm using central arterial blood pressure
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105793/
https://www.ncbi.nlm.nih.gov/pubmed/25005686
http://dx.doi.org/10.1186/1475-925X-13-96
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