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Effective hemodynamic monitoring
Hemodynamic monitoring is the centerpiece of patient monitoring in acute care settings. Its effectiveness in terms of improved patient outcomes is difficult to quantify. This review focused on effectiveness of monitoring-linked resuscitation strategies from: (1) process-specific monitoring that allo...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520790/ https://www.ncbi.nlm.nih.gov/pubmed/36171594 http://dx.doi.org/10.1186/s13054-022-04173-z |
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author | Pinsky, Michael R. Cecconi, Maurizio Chew, Michelle S. De Backer, Daniel Douglas, Ivor Edwards, Mark Hamzaoui, Olfa Hernandez, Glenn Martin, Greg Monnet, Xavier Saugel, Bernd Scheeren, Thomas W. L. Teboul, Jean-Louis Vincent, Jean-Louis |
author_facet | Pinsky, Michael R. Cecconi, Maurizio Chew, Michelle S. De Backer, Daniel Douglas, Ivor Edwards, Mark Hamzaoui, Olfa Hernandez, Glenn Martin, Greg Monnet, Xavier Saugel, Bernd Scheeren, Thomas W. L. Teboul, Jean-Louis Vincent, Jean-Louis |
author_sort | Pinsky, Michael R. |
collection | PubMed |
description | Hemodynamic monitoring is the centerpiece of patient monitoring in acute care settings. Its effectiveness in terms of improved patient outcomes is difficult to quantify. This review focused on effectiveness of monitoring-linked resuscitation strategies from: (1) process-specific monitoring that allows for non-specific prevention of new onset cardiovascular insufficiency (CVI) in perioperative care. Such goal-directed therapy is associated with decreased perioperative complications and length of stay in high-risk surgery patients. (2) Patient-specific personalized resuscitation approaches for CVI. These approaches including dynamic measures to define volume responsiveness and vasomotor tone, limiting less fluid administration and vasopressor duration, reduced length of care. (3) Hemodynamic monitoring to predict future CVI using machine learning approaches. These approaches presently focus on predicting hypotension. Future clinical trials assessing hemodynamic monitoring need to focus on process-specific monitoring based on modifying therapeutic interventions known to improve patient-centered outcomes. |
format | Online Article Text |
id | pubmed-9520790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95207902022-09-30 Effective hemodynamic monitoring Pinsky, Michael R. Cecconi, Maurizio Chew, Michelle S. De Backer, Daniel Douglas, Ivor Edwards, Mark Hamzaoui, Olfa Hernandez, Glenn Martin, Greg Monnet, Xavier Saugel, Bernd Scheeren, Thomas W. L. Teboul, Jean-Louis Vincent, Jean-Louis Crit Care Review Hemodynamic monitoring is the centerpiece of patient monitoring in acute care settings. Its effectiveness in terms of improved patient outcomes is difficult to quantify. This review focused on effectiveness of monitoring-linked resuscitation strategies from: (1) process-specific monitoring that allows for non-specific prevention of new onset cardiovascular insufficiency (CVI) in perioperative care. Such goal-directed therapy is associated with decreased perioperative complications and length of stay in high-risk surgery patients. (2) Patient-specific personalized resuscitation approaches for CVI. These approaches including dynamic measures to define volume responsiveness and vasomotor tone, limiting less fluid administration and vasopressor duration, reduced length of care. (3) Hemodynamic monitoring to predict future CVI using machine learning approaches. These approaches presently focus on predicting hypotension. Future clinical trials assessing hemodynamic monitoring need to focus on process-specific monitoring based on modifying therapeutic interventions known to improve patient-centered outcomes. BioMed Central 2022-09-28 /pmc/articles/PMC9520790/ /pubmed/36171594 http://dx.doi.org/10.1186/s13054-022-04173-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Pinsky, Michael R. Cecconi, Maurizio Chew, Michelle S. De Backer, Daniel Douglas, Ivor Edwards, Mark Hamzaoui, Olfa Hernandez, Glenn Martin, Greg Monnet, Xavier Saugel, Bernd Scheeren, Thomas W. L. Teboul, Jean-Louis Vincent, Jean-Louis Effective hemodynamic monitoring |
title | Effective hemodynamic monitoring |
title_full | Effective hemodynamic monitoring |
title_fullStr | Effective hemodynamic monitoring |
title_full_unstemmed | Effective hemodynamic monitoring |
title_short | Effective hemodynamic monitoring |
title_sort | effective hemodynamic monitoring |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520790/ https://www.ncbi.nlm.nih.gov/pubmed/36171594 http://dx.doi.org/10.1186/s13054-022-04173-z |
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