Monitoring and identification of sepsis development through a composite measure of heart rate variability.

Tracking the physiological conditions of a patient developing infection is of utmost importance to provide optimal care at an early stage. This work presents a procedure to integrate multiple measures of heart rate variability into a unique measure for the tracking of sepsis development. An early wa...

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Autores principales:	Andrea Bravi, Geoffrey Green, André Longtin, Andrew J E Seely
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/734ee55ad3ea4a3e83630a2cc48cc6d5
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spelling	oai:doaj.org-article:734ee55ad3ea4a3e83630a2cc48cc6d52021-11-18T07:04:52ZMonitoring and identification of sepsis development through a composite measure of heart rate variability.1932-620310.1371/journal.pone.0045666https://doaj.org/article/734ee55ad3ea4a3e83630a2cc48cc6d52012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23029171/?tool=EBIhttps://doaj.org/toc/1932-6203Tracking the physiological conditions of a patient developing infection is of utmost importance to provide optimal care at an early stage. This work presents a procedure to integrate multiple measures of heart rate variability into a unique measure for the tracking of sepsis development. An early warning system is used to illustrate its potential clinical value. The study involved 17 adults (age median 51 (interquartile range 46-62)) who experienced a period of neutropenia following chemoradiotherapy and bone marrow transplant; 14 developed sepsis, and 3 did not. A comprehensive panel (N = 92) of variability measures was calculated for 5 min-windows throughout the period of monitoring (12 ± 4 days). Variability measures underwent filtering and two steps of data reduction with the objective of enhancing the information related to the greatest degree of change. The proposed composite measure was capable of tracking the development of sepsis in 12 out of 14 patients. Simulating a real-time monitoring setting, the sum of the energy over the very low frequency range of the composite measure was used to classify the probability of developing sepsis. The composite revealed information about the onset of sepsis about 60 hours (median value) before of sepsis diagnosis. In a real monitoring setting this quicker detection time would be associated to increased efficacy in the treatment of sepsis, therefore highlighting the potential clinical utility of a composite measure of variability.Andrea BraviGeoffrey GreenAndré LongtinAndrew J E SeelyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e45666 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andrea Bravi Geoffrey Green André Longtin Andrew J E Seely Monitoring and identification of sepsis development through a composite measure of heart rate variability.
description	Tracking the physiological conditions of a patient developing infection is of utmost importance to provide optimal care at an early stage. This work presents a procedure to integrate multiple measures of heart rate variability into a unique measure for the tracking of sepsis development. An early warning system is used to illustrate its potential clinical value. The study involved 17 adults (age median 51 (interquartile range 46-62)) who experienced a period of neutropenia following chemoradiotherapy and bone marrow transplant; 14 developed sepsis, and 3 did not. A comprehensive panel (N = 92) of variability measures was calculated for 5 min-windows throughout the period of monitoring (12 ± 4 days). Variability measures underwent filtering and two steps of data reduction with the objective of enhancing the information related to the greatest degree of change. The proposed composite measure was capable of tracking the development of sepsis in 12 out of 14 patients. Simulating a real-time monitoring setting, the sum of the energy over the very low frequency range of the composite measure was used to classify the probability of developing sepsis. The composite revealed information about the onset of sepsis about 60 hours (median value) before of sepsis diagnosis. In a real monitoring setting this quicker detection time would be associated to increased efficacy in the treatment of sepsis, therefore highlighting the potential clinical utility of a composite measure of variability.
format	article
author	Andrea Bravi Geoffrey Green André Longtin Andrew J E Seely
author_facet	Andrea Bravi Geoffrey Green André Longtin Andrew J E Seely
author_sort	Andrea Bravi
title	Monitoring and identification of sepsis development through a composite measure of heart rate variability.
title_short	Monitoring and identification of sepsis development through a composite measure of heart rate variability.
title_full	Monitoring and identification of sepsis development through a composite measure of heart rate variability.
title_fullStr	Monitoring and identification of sepsis development through a composite measure of heart rate variability.
title_full_unstemmed	Monitoring and identification of sepsis development through a composite measure of heart rate variability.
title_sort	monitoring and identification of sepsis development through a composite measure of heart rate variability.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/734ee55ad3ea4a3e83630a2cc48cc6d5
work_keys_str_mv	AT andreabravi monitoringandidentificationofsepsisdevelopmentthroughacompositemeasureofheartratevariability AT geoffreygreen monitoringandidentificationofsepsisdevelopmentthroughacompositemeasureofheartratevariability AT andrelongtin monitoringandidentificationofsepsisdevelopmentthroughacompositemeasureofheartratevariability AT andrewjeseely monitoringandidentificationofsepsisdevelopmentthroughacompositemeasureofheartratevariability
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Monitoring and identification of sepsis development through a composite measure of heart rate variability.

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