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A novel method of calculating stroke volume using point-of-care echocardiography
BACKGROUND: Point-of-care transthoracic echocardiography (POC-TTE) is essential in shock management, allowing for stroke volume (SV) and cardiac output (CO) estimation using left ventricular outflow tract diameter (LVOTD) and left ventricular velocity time integral (VTI). Since LVOTD is difficult to...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441555/ https://www.ncbi.nlm.nih.gov/pubmed/32819371 http://dx.doi.org/10.1186/s12947-020-00219-w |
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author | Aligholizadeh, Ehson Teeter, William Patel, Rajan Hu, Peter Fatima, Syeda Yang, Shiming Ramani, Gautam Safadi, Sami Olivieri, Peter Scalea, Thomas Murthi, Sarah |
author_facet | Aligholizadeh, Ehson Teeter, William Patel, Rajan Hu, Peter Fatima, Syeda Yang, Shiming Ramani, Gautam Safadi, Sami Olivieri, Peter Scalea, Thomas Murthi, Sarah |
author_sort | Aligholizadeh, Ehson |
collection | PubMed |
description | BACKGROUND: Point-of-care transthoracic echocardiography (POC-TTE) is essential in shock management, allowing for stroke volume (SV) and cardiac output (CO) estimation using left ventricular outflow tract diameter (LVOTD) and left ventricular velocity time integral (VTI). Since LVOTD is difficult to obtain and error-prone, the body surface area (BSA) or a modified BSA (mBSA) is sometimes used as a surrogate (LVOTD(BSA), LVOTD(mBSA)). Currently, no models of LVOTD based on patient characteristics exist nor have BSA-based alternatives been validated. METHODS: Focused rapid echocardiographic evaluations (FREEs) performed in intensive care unit patients over a 3-year period were reviewed. The age, sex, height, and weight were recorded. Human expert measurement of LVOTD (LVOTD(HEM)) was performed. An epsilon-support vector regression was used to derive a computer model of the predicted LVOTD (LVOTD(CM)). Training, testing, and validation were completed. Pearson coefficient and Bland-Altman were used to assess correlation and agreement. RESULTS: Two hundred eighty-seven TTEs with ideal images of the LVOT were identified. LVOTD(CM) was the best method of SV measurement, with a correlation of 0.87. LVOTD(mBSA) and LVOTD(BSA) had correlations of 0.71 and 0.49 respectively. Root mean square error for LVOTD(CM), LVOTD(mBSA), and LVOTD(BSA) respectively were 13.3, 37.0, and 26.4. Bland-Altman for LVOTD(CM) demonstrated a bias of 5.2. LVOTD(CM) model was used in a separate validation set of 116 ideal images yielding a linear correlation of 0.83 between SV(HEM) and SV(CM). Bland Altman analysis for SV(CM) had a bias of 2.3 with limits of agreement (LOAs) of − 24 and 29, a percent error (PE) of 34% and a root mean square error (RMSE) of 13.9. CONCLUSIONS: A computer model may allow for SV and CO measurement when the LVOTD cannot be assessed. Further study is needed to assess the accuracy of the model in various patient populations and in comparison to the gold standard pulmonary artery catheter. The LVOTD(CM) is more accurate with less error compared to BSA-based methods, however there is still a percentage error of 33%. BSA should not be used as a surrogate measure of LVOTD. Once validated and improved this model may improve feasibility and allow hemodynamic monitoring via POC-TTE once it is validated. |
format | Online Article Text |
id | pubmed-7441555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74415552020-08-24 A novel method of calculating stroke volume using point-of-care echocardiography Aligholizadeh, Ehson Teeter, William Patel, Rajan Hu, Peter Fatima, Syeda Yang, Shiming Ramani, Gautam Safadi, Sami Olivieri, Peter Scalea, Thomas Murthi, Sarah Cardiovasc Ultrasound Research BACKGROUND: Point-of-care transthoracic echocardiography (POC-TTE) is essential in shock management, allowing for stroke volume (SV) and cardiac output (CO) estimation using left ventricular outflow tract diameter (LVOTD) and left ventricular velocity time integral (VTI). Since LVOTD is difficult to obtain and error-prone, the body surface area (BSA) or a modified BSA (mBSA) is sometimes used as a surrogate (LVOTD(BSA), LVOTD(mBSA)). Currently, no models of LVOTD based on patient characteristics exist nor have BSA-based alternatives been validated. METHODS: Focused rapid echocardiographic evaluations (FREEs) performed in intensive care unit patients over a 3-year period were reviewed. The age, sex, height, and weight were recorded. Human expert measurement of LVOTD (LVOTD(HEM)) was performed. An epsilon-support vector regression was used to derive a computer model of the predicted LVOTD (LVOTD(CM)). Training, testing, and validation were completed. Pearson coefficient and Bland-Altman were used to assess correlation and agreement. RESULTS: Two hundred eighty-seven TTEs with ideal images of the LVOT were identified. LVOTD(CM) was the best method of SV measurement, with a correlation of 0.87. LVOTD(mBSA) and LVOTD(BSA) had correlations of 0.71 and 0.49 respectively. Root mean square error for LVOTD(CM), LVOTD(mBSA), and LVOTD(BSA) respectively were 13.3, 37.0, and 26.4. Bland-Altman for LVOTD(CM) demonstrated a bias of 5.2. LVOTD(CM) model was used in a separate validation set of 116 ideal images yielding a linear correlation of 0.83 between SV(HEM) and SV(CM). Bland Altman analysis for SV(CM) had a bias of 2.3 with limits of agreement (LOAs) of − 24 and 29, a percent error (PE) of 34% and a root mean square error (RMSE) of 13.9. CONCLUSIONS: A computer model may allow for SV and CO measurement when the LVOTD cannot be assessed. Further study is needed to assess the accuracy of the model in various patient populations and in comparison to the gold standard pulmonary artery catheter. The LVOTD(CM) is more accurate with less error compared to BSA-based methods, however there is still a percentage error of 33%. BSA should not be used as a surrogate measure of LVOTD. Once validated and improved this model may improve feasibility and allow hemodynamic monitoring via POC-TTE once it is validated. BioMed Central 2020-08-20 /pmc/articles/PMC7441555/ /pubmed/32819371 http://dx.doi.org/10.1186/s12947-020-00219-w Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Aligholizadeh, Ehson Teeter, William Patel, Rajan Hu, Peter Fatima, Syeda Yang, Shiming Ramani, Gautam Safadi, Sami Olivieri, Peter Scalea, Thomas Murthi, Sarah A novel method of calculating stroke volume using point-of-care echocardiography |
title | A novel method of calculating stroke volume using point-of-care echocardiography |
title_full | A novel method of calculating stroke volume using point-of-care echocardiography |
title_fullStr | A novel method of calculating stroke volume using point-of-care echocardiography |
title_full_unstemmed | A novel method of calculating stroke volume using point-of-care echocardiography |
title_short | A novel method of calculating stroke volume using point-of-care echocardiography |
title_sort | novel method of calculating stroke volume using point-of-care echocardiography |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441555/ https://www.ncbi.nlm.nih.gov/pubmed/32819371 http://dx.doi.org/10.1186/s12947-020-00219-w |
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