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Evaluation of least significant changes of pulse contour analysis-derived parameters
BACKGROUND: Many maneuvers assessing fluid responsiveness (minifluid challenge, lung recruitment maneuver, end-expiratory occlusion test, passive leg raising) are considered as positive when small variations in cardiac index, stroke volume index, stroke volume variation or pulse pressure variation o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787117/ https://www.ncbi.nlm.nih.gov/pubmed/31602550 http://dx.doi.org/10.1186/s13613-019-0590-z |
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author | de Courson, Hugues Ferrer, Loic Cane, Grégoire Verchère, Eric Sesay, Musa Nouette-Gaulain, Karine Biais, Matthieu |
author_facet | de Courson, Hugues Ferrer, Loic Cane, Grégoire Verchère, Eric Sesay, Musa Nouette-Gaulain, Karine Biais, Matthieu |
author_sort | de Courson, Hugues |
collection | PubMed |
description | BACKGROUND: Many maneuvers assessing fluid responsiveness (minifluid challenge, lung recruitment maneuver, end-expiratory occlusion test, passive leg raising) are considered as positive when small variations in cardiac index, stroke volume index, stroke volume variation or pulse pressure variation occur. Pulse contour analysis allows continuous and real-time cardiac index, stroke volume, stroke volume variation and pulse pressure variation estimations. To use these maneuvers with pulse contour analysis, the knowledge of the minimal change that needs to be measured by a device to recognize a real change (least significant change) has to be studied. The aim of this study was to evaluate the least significant change of cardiac index, stroke volume index, stroke volume variation and pulse pressure variation obtained using pulse contour analysis (ProAQT(®), Pulsion Medical System, Germany). METHODS: In this observational study, we included 50 mechanically ventilated patients undergoing neurosurgery in the operating room. Cardiac index, stroke volume index, pulse pressure variation and stroke volume variation obtained using ProAQT(®) (Pulsion Medical System, Germany) were recorded every 12 s during 15-min steady-state periods. Least significant changes were calculated every minute. RESULTS: Least significant changes statistically differed over time for cardiac index, stroke volume index, pulse pressure variation and stroke volume variation (p < 0.001). Least significant changes ranged from 1.3 to 0.7% for cardiac index, from 1.3 to 0.8% for stroke volume index, from 10 to 4.9% for pulse pressure variation and from 10.8 to 4.3% for stroke volume variation. CONCLUSION: To conclude, the present study suggests that pulse contour analysis is able to detect rapid and small changes in cardiac index and stroke volume index, but the interpretation of rapid and small changes of pulse pressure variation and stroke volume variation must be done with caution. |
format | Online Article Text |
id | pubmed-6787117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-67871172019-10-24 Evaluation of least significant changes of pulse contour analysis-derived parameters de Courson, Hugues Ferrer, Loic Cane, Grégoire Verchère, Eric Sesay, Musa Nouette-Gaulain, Karine Biais, Matthieu Ann Intensive Care Research BACKGROUND: Many maneuvers assessing fluid responsiveness (minifluid challenge, lung recruitment maneuver, end-expiratory occlusion test, passive leg raising) are considered as positive when small variations in cardiac index, stroke volume index, stroke volume variation or pulse pressure variation occur. Pulse contour analysis allows continuous and real-time cardiac index, stroke volume, stroke volume variation and pulse pressure variation estimations. To use these maneuvers with pulse contour analysis, the knowledge of the minimal change that needs to be measured by a device to recognize a real change (least significant change) has to be studied. The aim of this study was to evaluate the least significant change of cardiac index, stroke volume index, stroke volume variation and pulse pressure variation obtained using pulse contour analysis (ProAQT(®), Pulsion Medical System, Germany). METHODS: In this observational study, we included 50 mechanically ventilated patients undergoing neurosurgery in the operating room. Cardiac index, stroke volume index, pulse pressure variation and stroke volume variation obtained using ProAQT(®) (Pulsion Medical System, Germany) were recorded every 12 s during 15-min steady-state periods. Least significant changes were calculated every minute. RESULTS: Least significant changes statistically differed over time for cardiac index, stroke volume index, pulse pressure variation and stroke volume variation (p < 0.001). Least significant changes ranged from 1.3 to 0.7% for cardiac index, from 1.3 to 0.8% for stroke volume index, from 10 to 4.9% for pulse pressure variation and from 10.8 to 4.3% for stroke volume variation. CONCLUSION: To conclude, the present study suggests that pulse contour analysis is able to detect rapid and small changes in cardiac index and stroke volume index, but the interpretation of rapid and small changes of pulse pressure variation and stroke volume variation must be done with caution. Springer International Publishing 2019-10-11 /pmc/articles/PMC6787117/ /pubmed/31602550 http://dx.doi.org/10.1186/s13613-019-0590-z Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research de Courson, Hugues Ferrer, Loic Cane, Grégoire Verchère, Eric Sesay, Musa Nouette-Gaulain, Karine Biais, Matthieu Evaluation of least significant changes of pulse contour analysis-derived parameters |
title | Evaluation of least significant changes of pulse contour analysis-derived parameters |
title_full | Evaluation of least significant changes of pulse contour analysis-derived parameters |
title_fullStr | Evaluation of least significant changes of pulse contour analysis-derived parameters |
title_full_unstemmed | Evaluation of least significant changes of pulse contour analysis-derived parameters |
title_short | Evaluation of least significant changes of pulse contour analysis-derived parameters |
title_sort | evaluation of least significant changes of pulse contour analysis-derived parameters |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787117/ https://www.ncbi.nlm.nih.gov/pubmed/31602550 http://dx.doi.org/10.1186/s13613-019-0590-z |
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