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Central venous pressure estimation from ultrasound assessment of the jugular venous pulse

OBJECTIVES: Acquiring central venous pressure (CVP), an important clinical parameter, requires an invasive procedure, which poses risk to patients. The aim of the study was to develop a non-invasive methodology for determining mean-CVP from ultrasound assessment of the jugular venous pulse. METHODS:...

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Autores principales: Zamboni, Paolo, Malagoni, Anna Maria, Menegatti, Erica, Ragazzi, Riccardo, Tavoni, Valentina, Tessari, Mirko, Beggs, Clive B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592775/
https://www.ncbi.nlm.nih.gov/pubmed/33112871
http://dx.doi.org/10.1371/journal.pone.0240057
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author Zamboni, Paolo
Malagoni, Anna Maria
Menegatti, Erica
Ragazzi, Riccardo
Tavoni, Valentina
Tessari, Mirko
Beggs, Clive B.
author_facet Zamboni, Paolo
Malagoni, Anna Maria
Menegatti, Erica
Ragazzi, Riccardo
Tavoni, Valentina
Tessari, Mirko
Beggs, Clive B.
author_sort Zamboni, Paolo
collection PubMed
description OBJECTIVES: Acquiring central venous pressure (CVP), an important clinical parameter, requires an invasive procedure, which poses risk to patients. The aim of the study was to develop a non-invasive methodology for determining mean-CVP from ultrasound assessment of the jugular venous pulse. METHODS: In thirty-four adult patients (age = 60 ± 12 years; 10 males), CVP was measured using a central venous catheter, with internal jugular vein (IJV) cross-sectional area (CSA) variation along the cardiac beat acquired using ultrasound. The resultant CVP and IJV-CSA signals were synchronized with electrocardiogram (ECG) signals acquired from the patients. Autocorrelation signals were derived from the IJV-CSA signals using algorithms in R (open-source statistical software). The correlation r-values for successive lag intervals were extracted and used to build a linear regression model in which mean-CVP was the response variable and the lagging autocorrelation r-values and mean IJV-CSA, were the predictor variables. The optimum model was identified using the minimum AIC value and validated using 10-fold cross-validation. RESULTS: While the CVP and IJV-CSA signals were poorly correlated (mean r = -0.018, SD = 0.357) due to the IJV-CSA signal lagging behind the CVP signal, their autocorrelation counterparts were highly positively correlated (mean r = 0.725, SD = 0.215). Using the lagging autocorrelation r-values as predictors, mean-CVP was predicted with reasonable accuracy (r(2) = 0.612), with a mean-absolute-error of 1.455 cmH(2)O, which rose to 2.436 cmH(2)O when cross-validation was performed. CONCLUSIONS: Mean-CVP can be estimated non-invasively by using the lagged autocorrelation r-values of the IJV-CSA signal. This new methodology may have considerable potential as a clinical monitoring and diagnostic tool.
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spelling pubmed-75927752020-11-02 Central venous pressure estimation from ultrasound assessment of the jugular venous pulse Zamboni, Paolo Malagoni, Anna Maria Menegatti, Erica Ragazzi, Riccardo Tavoni, Valentina Tessari, Mirko Beggs, Clive B. PLoS One Research Article OBJECTIVES: Acquiring central venous pressure (CVP), an important clinical parameter, requires an invasive procedure, which poses risk to patients. The aim of the study was to develop a non-invasive methodology for determining mean-CVP from ultrasound assessment of the jugular venous pulse. METHODS: In thirty-four adult patients (age = 60 ± 12 years; 10 males), CVP was measured using a central venous catheter, with internal jugular vein (IJV) cross-sectional area (CSA) variation along the cardiac beat acquired using ultrasound. The resultant CVP and IJV-CSA signals were synchronized with electrocardiogram (ECG) signals acquired from the patients. Autocorrelation signals were derived from the IJV-CSA signals using algorithms in R (open-source statistical software). The correlation r-values for successive lag intervals were extracted and used to build a linear regression model in which mean-CVP was the response variable and the lagging autocorrelation r-values and mean IJV-CSA, were the predictor variables. The optimum model was identified using the minimum AIC value and validated using 10-fold cross-validation. RESULTS: While the CVP and IJV-CSA signals were poorly correlated (mean r = -0.018, SD = 0.357) due to the IJV-CSA signal lagging behind the CVP signal, their autocorrelation counterparts were highly positively correlated (mean r = 0.725, SD = 0.215). Using the lagging autocorrelation r-values as predictors, mean-CVP was predicted with reasonable accuracy (r(2) = 0.612), with a mean-absolute-error of 1.455 cmH(2)O, which rose to 2.436 cmH(2)O when cross-validation was performed. CONCLUSIONS: Mean-CVP can be estimated non-invasively by using the lagged autocorrelation r-values of the IJV-CSA signal. This new methodology may have considerable potential as a clinical monitoring and diagnostic tool. Public Library of Science 2020-10-28 /pmc/articles/PMC7592775/ /pubmed/33112871 http://dx.doi.org/10.1371/journal.pone.0240057 Text en © 2020 Zamboni et al 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 author and source are credited.
spellingShingle Research Article
Zamboni, Paolo
Malagoni, Anna Maria
Menegatti, Erica
Ragazzi, Riccardo
Tavoni, Valentina
Tessari, Mirko
Beggs, Clive B.
Central venous pressure estimation from ultrasound assessment of the jugular venous pulse
title Central venous pressure estimation from ultrasound assessment of the jugular venous pulse
title_full Central venous pressure estimation from ultrasound assessment of the jugular venous pulse
title_fullStr Central venous pressure estimation from ultrasound assessment of the jugular venous pulse
title_full_unstemmed Central venous pressure estimation from ultrasound assessment of the jugular venous pulse
title_short Central venous pressure estimation from ultrasound assessment of the jugular venous pulse
title_sort central venous pressure estimation from ultrasound assessment of the jugular venous pulse
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592775/
https://www.ncbi.nlm.nih.gov/pubmed/33112871
http://dx.doi.org/10.1371/journal.pone.0240057
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