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Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

Heart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that...

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Autores principales: Mejía-Mejía, Elisa, May, James M., Elgendi, Mohamed, Kyriacou, Panayiotis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121822/
https://www.ncbi.nlm.nih.gov/pubmed/33990692
http://dx.doi.org/10.1038/s41746-021-00447-y
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author Mejía-Mejía, Elisa
May, James M.
Elgendi, Mohamed
Kyriacou, Panayiotis A.
author_facet Mejía-Mejía, Elisa
May, James M.
Elgendi, Mohamed
Kyriacou, Panayiotis A.
author_sort Mejía-Mejía, Elisa
collection PubMed
description Heart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.
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spelling pubmed-81218222021-05-17 Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients Mejía-Mejía, Elisa May, James M. Elgendi, Mohamed Kyriacou, Panayiotis A. NPJ Digit Med Article Heart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes. Nature Publishing Group UK 2021-05-14 /pmc/articles/PMC8121822/ /pubmed/33990692 http://dx.doi.org/10.1038/s41746-021-00447-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mejía-Mejía, Elisa
May, James M.
Elgendi, Mohamed
Kyriacou, Panayiotis A.
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
title Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
title_full Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
title_fullStr Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
title_full_unstemmed Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
title_short Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
title_sort differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121822/
https://www.ncbi.nlm.nih.gov/pubmed/33990692
http://dx.doi.org/10.1038/s41746-021-00447-y
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