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Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis
BACKGROUND: This paper proposes a methodology for helping bridge the gap between the complex waveform information frequently available in an intensive care unit and the simple, lumped values favoured for rapid clinical diagnosis and management. This methodology employs a simple waveform contour anal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245924/ https://www.ncbi.nlm.nih.gov/pubmed/30458800 http://dx.doi.org/10.1186/s12938-018-0603-4 |
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author | Davidson, Shaun Pretty, Chris Balmer, Joel Desaive, Thomas Chase, J. Geoffrey |
author_facet | Davidson, Shaun Pretty, Chris Balmer, Joel Desaive, Thomas Chase, J. Geoffrey |
author_sort | Davidson, Shaun |
collection | PubMed |
description | BACKGROUND: This paper proposes a methodology for helping bridge the gap between the complex waveform information frequently available in an intensive care unit and the simple, lumped values favoured for rapid clinical diagnosis and management. This methodology employs a simple waveform contour analysis approach to compare aortic, femoral and central venous pressure waveforms on a beat-by-beat basis and extract lumped metrics pertaining to the pressure drop and pressure-pulse amplitude attenuation as blood passes through the various sections of systemic circulation. RESULTS: Validation encompasses a comparison between novel metrics and well-known, analogous clinical metrics such as mean arterial and venous pressures, across an animal model of induced sepsis. The novel metric O(fe → vc), the direct pressure offset between the femoral artery and vena cava, and the clinical metric, ΔMP, the difference between mean arterial and venous pressure, performed well. However, O(fe → vc) reduced the optimal average time to sepsis detection after endotoxin infusion from 46.2 min for ΔMP to 11.6 min, for a slight increase in false positive rate from 1.8 to 6.2%. Thus, the novel O(fe → vc) provided the best combination of specificity and sensitivity, assuming an equal weighting to both, of the metrics assessed. CONCLUSIONS: Overall, the potential of these novel metrics in the detection of diagnostic shifts in physiological behaviour, here driven by sepsis, is demonstrated. |
format | Online Article Text |
id | pubmed-6245924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62459242018-11-26 Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis Davidson, Shaun Pretty, Chris Balmer, Joel Desaive, Thomas Chase, J. Geoffrey Biomed Eng Online Research BACKGROUND: This paper proposes a methodology for helping bridge the gap between the complex waveform information frequently available in an intensive care unit and the simple, lumped values favoured for rapid clinical diagnosis and management. This methodology employs a simple waveform contour analysis approach to compare aortic, femoral and central venous pressure waveforms on a beat-by-beat basis and extract lumped metrics pertaining to the pressure drop and pressure-pulse amplitude attenuation as blood passes through the various sections of systemic circulation. RESULTS: Validation encompasses a comparison between novel metrics and well-known, analogous clinical metrics such as mean arterial and venous pressures, across an animal model of induced sepsis. The novel metric O(fe → vc), the direct pressure offset between the femoral artery and vena cava, and the clinical metric, ΔMP, the difference between mean arterial and venous pressure, performed well. However, O(fe → vc) reduced the optimal average time to sepsis detection after endotoxin infusion from 46.2 min for ΔMP to 11.6 min, for a slight increase in false positive rate from 1.8 to 6.2%. Thus, the novel O(fe → vc) provided the best combination of specificity and sensitivity, assuming an equal weighting to both, of the metrics assessed. CONCLUSIONS: Overall, the potential of these novel metrics in the detection of diagnostic shifts in physiological behaviour, here driven by sepsis, is demonstrated. BioMed Central 2018-11-20 /pmc/articles/PMC6245924/ /pubmed/30458800 http://dx.doi.org/10.1186/s12938-018-0603-4 Text en © The Author(s) 2018 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Davidson, Shaun Pretty, Chris Balmer, Joel Desaive, Thomas Chase, J. Geoffrey Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
title | Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
title_full | Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
title_fullStr | Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
title_full_unstemmed | Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
title_short | Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
title_sort | blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245924/ https://www.ncbi.nlm.nih.gov/pubmed/30458800 http://dx.doi.org/10.1186/s12938-018-0603-4 |
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