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

Abstract 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 f...

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Autores principales:	Elisa Mejía-Mejía, James M. May, Mohamed Elgendi, Panayiotis A. Kyriacou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/a9164f2ec75f4114aec2ae21adcc00d5
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spelling	oai:doaj.org-article:a9164f2ec75f4114aec2ae21adcc00d52021-12-02T15:55:21ZDifferential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients10.1038/s41746-021-00447-y2398-6352https://doaj.org/article/a9164f2ec75f4114aec2ae21adcc00d52021-05-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00447-yhttps://doaj.org/toc/2398-6352Abstract 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.Elisa Mejía-MejíaJames M. MayMohamed ElgendiPanayiotis A. KyriacouNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Elisa Mejía-Mejía James M. May Mohamed Elgendi Panayiotis A. Kyriacou Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
description	Abstract 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.
format	article
author	Elisa Mejía-Mejía James M. May Mohamed Elgendi Panayiotis A. Kyriacou
author_facet	Elisa Mejía-Mejía James M. May Mohamed Elgendi Panayiotis A. Kyriacou
author_sort	Elisa Mejía-Mejía
title	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_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_sort	differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a9164f2ec75f4114aec2ae21adcc00d5
work_keys_str_mv	AT elisamejiamejia differentialeffectsofthebloodpressurestateonpulseratevariabilityandheartratevariabilityincriticallyillpatients AT jamesmmay differentialeffectsofthebloodpressurestateonpulseratevariabilityandheartratevariabilityincriticallyillpatients AT mohamedelgendi differentialeffectsofthebloodpressurestateonpulseratevariabilityandheartratevariabilityincriticallyillpatients AT panayiotisakyriacou differentialeffectsofthebloodpressurestateonpulseratevariabilityandheartratevariabilityincriticallyillpatients
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Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

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