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ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity

BACKGROUND: To explore the relationship between various autoregulatory indices in order to determine which approximate small vessel/microvascular (MV) autoregulatory capacity most accurately. METHODS: Utilizing a retrospective cohort of traumatic brain injury patients (N = 41) with: transcranial Dop...

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Autores principales: Zeiler, F. A., Donnelly, J., Cardim, D., Menon, D. K., Smielewski, P., Czosnyka, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948245/
https://www.ncbi.nlm.nih.gov/pubmed/29043544
http://dx.doi.org/10.1007/s12028-017-0472-x
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author Zeiler, F. A.
Donnelly, J.
Cardim, D.
Menon, D. K.
Smielewski, P.
Czosnyka, M.
author_facet Zeiler, F. A.
Donnelly, J.
Cardim, D.
Menon, D. K.
Smielewski, P.
Czosnyka, M.
author_sort Zeiler, F. A.
collection PubMed
description BACKGROUND: To explore the relationship between various autoregulatory indices in order to determine which approximate small vessel/microvascular (MV) autoregulatory capacity most accurately. METHODS: Utilizing a retrospective cohort of traumatic brain injury patients (N = 41) with: transcranial Doppler (TCD), intracranial pressure (ICP) and cortical laser Doppler flowmetry (LDF), we calculated various continuous indices of autoregulation and cerebrovascular responsiveness: A. ICP derived [pressure reactivity index (PRx)—correlation between ICP and mean arterial pressure (MAP), PAx—correlation between pulse amplitude of ICP (AMP) and MAP, RAC—correlation between AMP and cerebral perfusion pressure (CPP)], B. TCD derived (Mx—correlation between mean flow velocity (FVm) and CPP, Mx_a—correlation between FVm and MAP, Sx—correlation between systolic flow velocity (FVs) and CPP, Sx_a—correlation between FVs and MAP, Dx—correlation between diastolic flow index (FVd) and CPP, Dx_a—correlation between FVd and MAP], and LDF derived (Lx—correlation between LDF cerebral blood flow [CBF] and CPP, Lx_a—correlation between LDF-CBF and MAP). We assessed the relationship between these indices via Pearson correlation, Friedman test, principal component analysis (PCA), agglomerative hierarchal clustering (AHC), and k-means cluster analysis (KMCA). RESULTS: LDF-based autoregulatory index (Lx) was most associated with TCD-based Mx/Mx_a and Dx/Dx_a across Pearson correlation, PCA, AHC, and KMCA. Lx was only remotely associated with ICP-based indices (PRx, PAx, RAC). TCD-based Sx/Sx_a was more closely associated with ICP-derived PRx, PAx and RAC. This indicates that vascular-derived indices of autoregulatory capacity (i.e., TCD and LDF based) covary, with Sx/Sx_a being the exception, whereas indices of cerebrovascular reactivity derived from pulsatile CBV (i.e., ICP indices) appear to not be closely related to those of vascular origin. CONCLUSIONS: Transcranial Doppler Mx is the most closely associated with LDF-based Lx/Lx_a. Both Sx/Sx-a and the ICP-derived indices appear to be dissociated with LDF-based cerebrovascular reactivity, leaving Mx/Mx-a as a better surrogate for the assessment of cortical small vessel/MV cerebrovascular reactivity. Sx/Sx_a cocluster/covary with ICP-derived indices, as seen in our previous work. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12028-017-0472-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-59482452018-05-17 ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity Zeiler, F. A. Donnelly, J. Cardim, D. Menon, D. K. Smielewski, P. Czosnyka, M. Neurocrit Care Original Article BACKGROUND: To explore the relationship between various autoregulatory indices in order to determine which approximate small vessel/microvascular (MV) autoregulatory capacity most accurately. METHODS: Utilizing a retrospective cohort of traumatic brain injury patients (N = 41) with: transcranial Doppler (TCD), intracranial pressure (ICP) and cortical laser Doppler flowmetry (LDF), we calculated various continuous indices of autoregulation and cerebrovascular responsiveness: A. ICP derived [pressure reactivity index (PRx)—correlation between ICP and mean arterial pressure (MAP), PAx—correlation between pulse amplitude of ICP (AMP) and MAP, RAC—correlation between AMP and cerebral perfusion pressure (CPP)], B. TCD derived (Mx—correlation between mean flow velocity (FVm) and CPP, Mx_a—correlation between FVm and MAP, Sx—correlation between systolic flow velocity (FVs) and CPP, Sx_a—correlation between FVs and MAP, Dx—correlation between diastolic flow index (FVd) and CPP, Dx_a—correlation between FVd and MAP], and LDF derived (Lx—correlation between LDF cerebral blood flow [CBF] and CPP, Lx_a—correlation between LDF-CBF and MAP). We assessed the relationship between these indices via Pearson correlation, Friedman test, principal component analysis (PCA), agglomerative hierarchal clustering (AHC), and k-means cluster analysis (KMCA). RESULTS: LDF-based autoregulatory index (Lx) was most associated with TCD-based Mx/Mx_a and Dx/Dx_a across Pearson correlation, PCA, AHC, and KMCA. Lx was only remotely associated with ICP-based indices (PRx, PAx, RAC). TCD-based Sx/Sx_a was more closely associated with ICP-derived PRx, PAx and RAC. This indicates that vascular-derived indices of autoregulatory capacity (i.e., TCD and LDF based) covary, with Sx/Sx_a being the exception, whereas indices of cerebrovascular reactivity derived from pulsatile CBV (i.e., ICP indices) appear to not be closely related to those of vascular origin. CONCLUSIONS: Transcranial Doppler Mx is the most closely associated with LDF-based Lx/Lx_a. Both Sx/Sx-a and the ICP-derived indices appear to be dissociated with LDF-based cerebrovascular reactivity, leaving Mx/Mx-a as a better surrogate for the assessment of cortical small vessel/MV cerebrovascular reactivity. Sx/Sx_a cocluster/covary with ICP-derived indices, as seen in our previous work. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12028-017-0472-x) contains supplementary material, which is available to authorized users. Springer US 2017-10-17 2018 /pmc/articles/PMC5948245/ /pubmed/29043544 http://dx.doi.org/10.1007/s12028-017-0472-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Original Article
Zeiler, F. A.
Donnelly, J.
Cardim, D.
Menon, D. K.
Smielewski, P.
Czosnyka, M.
ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity
title ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity
title_full ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity
title_fullStr ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity
title_full_unstemmed ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity
title_short ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity
title_sort icp versus laser doppler cerebrovascular reactivity indices to assess brain autoregulatory capacity
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948245/
https://www.ncbi.nlm.nih.gov/pubmed/29043544
http://dx.doi.org/10.1007/s12028-017-0472-x
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