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Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study

PURPOSE: The pressure recording analytical method (PRAM) monitor is a non-invasive pulse contour cardiac output (CO) device that cannot be considered interchangeable with the gold standard for CO estimation. It, however, generates additional hemodynamic indices that need to be evaluated. Our objecti...

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Autores principales: Neuschwander, Arthur, Barthélémy, Romain, Ditchi, David, Dramé, Fatou, Redouté, Maximilien, Stern, Jules, Cholley, Bernard, Mebazaa, Alexandre, Chousterman, Benjamin Glenn, Pirracchio, Romain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271959/
https://www.ncbi.nlm.nih.gov/pubmed/32500514
http://dx.doi.org/10.1007/s12630-020-01736-y
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author Neuschwander, Arthur
Barthélémy, Romain
Ditchi, David
Dramé, Fatou
Redouté, Maximilien
Stern, Jules
Cholley, Bernard
Mebazaa, Alexandre
Chousterman, Benjamin Glenn
Pirracchio, Romain
author_facet Neuschwander, Arthur
Barthélémy, Romain
Ditchi, David
Dramé, Fatou
Redouté, Maximilien
Stern, Jules
Cholley, Bernard
Mebazaa, Alexandre
Chousterman, Benjamin Glenn
Pirracchio, Romain
author_sort Neuschwander, Arthur
collection PubMed
description PURPOSE: The pressure recording analytical method (PRAM) monitor is a non-invasive pulse contour cardiac output (CO) device that cannot be considered interchangeable with the gold standard for CO estimation. It, however, generates additional hemodynamic indices that need to be evaluated. Our objective was to investigate the performance of a multiparametric predictive score based on a combination of several parameters generated by the PRAM monitor to predict fluid responsiveness. METHODS: Secondary analysis of a prospective observational study from April 2016 to December 2017 in two French teaching hospitals. We included critically ill patients who were monitored by esophageal Doppler monitoring and an invasive arterial line, and received a 250–500 mL crystalloid fluid challenge. The main outcome measure was the predictive score discrimination evaluated by the area under the receiver operating characteristics curve. RESULTS: The three baseline PRAM-derived parameters associated with fluid responsiveness in univariate analysis were pulse pressure variation, cardiac cycle efficiency, and arterial elastance (P < 0.01, P = 0.03, and P < 0.01, respectively). The median [interquartile range] predictive score, calculated after discretization of these parameters according to their optimal threshold value was 3 [2–3] in fluid responders and 1 [1–2] in fluid non-responders, respectively (P < 0.001). The area under the curve of the predictive score was 0.807 (95% confidence interval, 0.662 to 0.909; P < 0.001). CONCLUSION: A multiparametric score combining three parameters generated by the PRAM monitor can predict fluid responsiveness with good positive and negative predictive values in intensive care unit patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12630-020-01736-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-72719592020-06-05 Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study Neuschwander, Arthur Barthélémy, Romain Ditchi, David Dramé, Fatou Redouté, Maximilien Stern, Jules Cholley, Bernard Mebazaa, Alexandre Chousterman, Benjamin Glenn Pirracchio, Romain Can J Anaesth Reports of Original Investigations PURPOSE: The pressure recording analytical method (PRAM) monitor is a non-invasive pulse contour cardiac output (CO) device that cannot be considered interchangeable with the gold standard for CO estimation. It, however, generates additional hemodynamic indices that need to be evaluated. Our objective was to investigate the performance of a multiparametric predictive score based on a combination of several parameters generated by the PRAM monitor to predict fluid responsiveness. METHODS: Secondary analysis of a prospective observational study from April 2016 to December 2017 in two French teaching hospitals. We included critically ill patients who were monitored by esophageal Doppler monitoring and an invasive arterial line, and received a 250–500 mL crystalloid fluid challenge. The main outcome measure was the predictive score discrimination evaluated by the area under the receiver operating characteristics curve. RESULTS: The three baseline PRAM-derived parameters associated with fluid responsiveness in univariate analysis were pulse pressure variation, cardiac cycle efficiency, and arterial elastance (P < 0.01, P = 0.03, and P < 0.01, respectively). The median [interquartile range] predictive score, calculated after discretization of these parameters according to their optimal threshold value was 3 [2–3] in fluid responders and 1 [1–2] in fluid non-responders, respectively (P < 0.001). The area under the curve of the predictive score was 0.807 (95% confidence interval, 0.662 to 0.909; P < 0.001). CONCLUSION: A multiparametric score combining three parameters generated by the PRAM monitor can predict fluid responsiveness with good positive and negative predictive values in intensive care unit patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12630-020-01736-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-06-04 2020 /pmc/articles/PMC7271959/ /pubmed/32500514 http://dx.doi.org/10.1007/s12630-020-01736-y Text en © Canadian Anesthesiologists' Society 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Reports of Original Investigations
Neuschwander, Arthur
Barthélémy, Romain
Ditchi, David
Dramé, Fatou
Redouté, Maximilien
Stern, Jules
Cholley, Bernard
Mebazaa, Alexandre
Chousterman, Benjamin Glenn
Pirracchio, Romain
Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
title Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
title_full Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
title_fullStr Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
title_full_unstemmed Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
title_short Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
title_sort accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study
topic Reports of Original Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271959/
https://www.ncbi.nlm.nih.gov/pubmed/32500514
http://dx.doi.org/10.1007/s12630-020-01736-y
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