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Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform
OBJECTIVES: Delayed identification of hemodynamic deterioration remains a persistent issue for in-hospital patient care. Clinicians continue to rely on vital signs associated with tachycardia and hypotension to identify hemodynamically unstable patients. A novel, noninvasive technology, the Analytic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116956/ https://www.ncbi.nlm.nih.gov/pubmed/35620767 http://dx.doi.org/10.1097/CCE.0000000000000693 |
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author | Schmitzberger, Florian F. Hall, Ashley E. Hughes, Morgan E. Belle, Ashwin Benson, Bryce Ward, Kevin R. Bassin, Benjamin S. |
author_facet | Schmitzberger, Florian F. Hall, Ashley E. Hughes, Morgan E. Belle, Ashwin Benson, Bryce Ward, Kevin R. Bassin, Benjamin S. |
author_sort | Schmitzberger, Florian F. |
collection | PubMed |
description | OBJECTIVES: Delayed identification of hemodynamic deterioration remains a persistent issue for in-hospital patient care. Clinicians continue to rely on vital signs associated with tachycardia and hypotension to identify hemodynamically unstable patients. A novel, noninvasive technology, the Analytic for Hemodynamic Instability (AHI), uses only the continuous electrocardiogram (ECG) signal from a typical hospital multiparameter telemetry monitor to monitor hemodynamics. The intent of this study was to determine if AHI is able to predict hemodynamic instability without the need for continuous direct measurement of blood pressure. DESIGN: Retrospective cohort study. SETTING: Single quaternary care academic health system in Michigan. PATIENTS: Hospitalized adult patients between November 2019 and February 2020 undergoing continuous ECG and intra-arterial blood pressure monitoring in an intensive care setting. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: One million two hundred fifty-two thousand seven hundred forty-two 5-minute windows of the analytic output were analyzed from 597 consecutive adult patients. AHI outputs were compared with vital sign indications of hemodynamic instability (heart rate > 100 beats/min, systolic blood pressure < 90 mm Hg, and shock index of > 1) in the same window. The observed sensitivity and specificity of AHI were 96.9% and 79.0%, respectively, with an area under the curve (AUC) of 0.90 for heart rate and systolic blood pressure. For the shock index analysis, AHI’s sensitivity was 72.0% and specificity was 80.3% with an AUC of 0.81. CONCLUSIONS: The AHI-derived hemodynamic status appropriately detected the various gold standard indications of hemodynamic instability (hypotension, tachycardia and hypotension, and shock index > 1). AHI may provide continuous dynamic hemodynamic monitoring capabilities in patients who traditionally have intermittent static vital sign measurements. |
format | Online Article Text |
id | pubmed-9116956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-91169562022-05-25 Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform Schmitzberger, Florian F. Hall, Ashley E. Hughes, Morgan E. Belle, Ashwin Benson, Bryce Ward, Kevin R. Bassin, Benjamin S. Crit Care Explor Original Clinical Report OBJECTIVES: Delayed identification of hemodynamic deterioration remains a persistent issue for in-hospital patient care. Clinicians continue to rely on vital signs associated with tachycardia and hypotension to identify hemodynamically unstable patients. A novel, noninvasive technology, the Analytic for Hemodynamic Instability (AHI), uses only the continuous electrocardiogram (ECG) signal from a typical hospital multiparameter telemetry monitor to monitor hemodynamics. The intent of this study was to determine if AHI is able to predict hemodynamic instability without the need for continuous direct measurement of blood pressure. DESIGN: Retrospective cohort study. SETTING: Single quaternary care academic health system in Michigan. PATIENTS: Hospitalized adult patients between November 2019 and February 2020 undergoing continuous ECG and intra-arterial blood pressure monitoring in an intensive care setting. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: One million two hundred fifty-two thousand seven hundred forty-two 5-minute windows of the analytic output were analyzed from 597 consecutive adult patients. AHI outputs were compared with vital sign indications of hemodynamic instability (heart rate > 100 beats/min, systolic blood pressure < 90 mm Hg, and shock index of > 1) in the same window. The observed sensitivity and specificity of AHI were 96.9% and 79.0%, respectively, with an area under the curve (AUC) of 0.90 for heart rate and systolic blood pressure. For the shock index analysis, AHI’s sensitivity was 72.0% and specificity was 80.3% with an AUC of 0.81. CONCLUSIONS: The AHI-derived hemodynamic status appropriately detected the various gold standard indications of hemodynamic instability (hypotension, tachycardia and hypotension, and shock index > 1). AHI may provide continuous dynamic hemodynamic monitoring capabilities in patients who traditionally have intermittent static vital sign measurements. Lippincott Williams & Wilkins 2022-05-17 /pmc/articles/PMC9116956/ /pubmed/35620767 http://dx.doi.org/10.1097/CCE.0000000000000693 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Clinical Report Schmitzberger, Florian F. Hall, Ashley E. Hughes, Morgan E. Belle, Ashwin Benson, Bryce Ward, Kevin R. Bassin, Benjamin S. Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform |
title | Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform |
title_full | Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform |
title_fullStr | Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform |
title_full_unstemmed | Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform |
title_short | Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform |
title_sort | detection of hemodynamic status using an analytic based on an electrocardiogram lead waveform |
topic | Original Clinical Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116956/ https://www.ncbi.nlm.nih.gov/pubmed/35620767 http://dx.doi.org/10.1097/CCE.0000000000000693 |
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