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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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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. |
format | Online Article Text |
id | pubmed-7271959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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