High spontaneous fluctuation in arterial blood pressure improves the assessment of cerebral autoregulation
High spontaneous fluctuation in arterial blood pressure improves the assessment of cerebral autoregulation
Cerebral autoregulation maintains a relatively constant blood flow despite changes of blood pressure in the brain. Linear models have been extensively applied to identify this mechanism, using spontaneous arterial blood pressure (ABP) fluctuation as input and cerebral blood flow velocity (CBFV) change as output. Although valuable measurements have been achieved by these models, accuracy and consistency are of great concern due to the large variability of results. We therefore investigated whether more reliable measurements can be achieved by selecting only those recordings (or parts of recordings) with relatively high spontaneous variability of ABP. Twenty-four recordings, 7 from hypercapnia and 17 from normocapnia, of ABP and CBFV from 9 healthy adults were analyzed.
Two conventional autoregulatory parameters were used to assess cerebral autoregulation. In the absence of a 'gold' standard for the study of dynamic cerebral autoregulation, lower variability of the parameters and higher correlation with pCO2 were considered as criteria for identifying improved measures of autoregulation. Both significantly lower variability of the parameters, and higher correlation between the parameters and pCO2 were achieved from the data with higher variability of blood pressure. We therefore conclude that ABP with high variability may effectively stimulate regulatory response in blood flow resulting in improved assessment of cerebral autoregulation.
cerebral autoregulation, inter- and intra-subject variability, variability of blood pressure, end-tidal co2
725-741
Liu, J.
516e902e-000e-4f9c-b9bc-bac18b1f5ade
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
2005
Liu, J.
516e902e-000e-4f9c-b9bc-bac18b1f5ade
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
Liu, J., Simpson, D.M. and Allen, R.
(2005)
High spontaneous fluctuation in arterial blood pressure improves the assessment of cerebral autoregulation.
Physiological Measurement, 26 (5), .
(doi:10.1088/0967-3334/26/5/012).
Abstract
Cerebral autoregulation maintains a relatively constant blood flow despite changes of blood pressure in the brain. Linear models have been extensively applied to identify this mechanism, using spontaneous arterial blood pressure (ABP) fluctuation as input and cerebral blood flow velocity (CBFV) change as output. Although valuable measurements have been achieved by these models, accuracy and consistency are of great concern due to the large variability of results. We therefore investigated whether more reliable measurements can be achieved by selecting only those recordings (or parts of recordings) with relatively high spontaneous variability of ABP. Twenty-four recordings, 7 from hypercapnia and 17 from normocapnia, of ABP and CBFV from 9 healthy adults were analyzed.
Two conventional autoregulatory parameters were used to assess cerebral autoregulation. In the absence of a 'gold' standard for the study of dynamic cerebral autoregulation, lower variability of the parameters and higher correlation with pCO2 were considered as criteria for identifying improved measures of autoregulation. Both significantly lower variability of the parameters, and higher correlation between the parameters and pCO2 were achieved from the data with higher variability of blood pressure. We therefore conclude that ABP with high variability may effectively stimulate regulatory response in blood flow resulting in improved assessment of cerebral autoregulation.
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Published date: 2005
Keywords:
cerebral autoregulation, inter- and intra-subject variability, variability of blood pressure, end-tidal co2
Organisations:
Signal Processing & Control Group
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Local EPrints ID: 28340
URI: http://eprints.soton.ac.uk/id/eprint/28340
ISSN: 0967-3334
PURE UUID: f04cd6db-6333-46c2-9ac7-63ff677fe620
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Date deposited: 02 May 2006
Last modified: 16 Mar 2024 03:29
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Author:
J. Liu
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