Literature DB >> 28694108

Increased blood pressure variability upon standing up improves reproducibility of cerebral autoregulation indices.

Adam Mahdi1, Dragana Nikolic2, Anthony A Birch3, Mette S Olufsen4, Ronney B Panerai5, David M Simpson2, Stephen J Payne6.   

Abstract

Dynamic cerebral autoregulation, that is the transient response of cerebral blood flow to changes in arterial blood pressure, is currently assessed using a variety of different time series methods and data collection protocols. In the continuing absence of a gold standard for the study of cerebral autoregulation it is unclear to what extent does the assessment depend on the choice of a computational method and protocol. We use continuous measurements of blood pressure and cerebral blood flow velocity in the middle cerebral artery from the cohorts of 18 normotensive subjects performing sit-to-stand manoeuvre. We estimate cerebral autoregulation using a wide variety of black-box approaches (including the following six autoregulation indices ARI, Mx, Sx, Dx, FIR and ARX) and compare them in the context of reproducibility and variability. For all autoregulation indices, considered here, the intra-class correlation was greater during the standing protocol, however, it was significantly greater (Fisher's Z-test) for Mx (p < 0.03), Sx (p < 0.003) and Dx (p < 0.03). In the specific case of the sit-to-stand manoeuvre, measurements taken immediately after standing up greatly improve the reproducibility of the autoregulation coefficients. This is generally coupled with an increase of the within-group spread of the estimates.
Copyright © 2017 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebral autoregulation; Cerebral blood flow; Reproducibility; Variability

Mesh:

Year:  2017        PMID: 28694108     DOI: 10.1016/j.medengphy.2017.06.006

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  11 in total

1.  Inducing oscillations in positive end-expiratory pressure improves assessment of cerebrovascular pressure reactivity in patients with traumatic brain injury.

Authors:  Jeanette Tas; Kirsten D J Bos; Joost Le Feber; Erta Beqiri; Marek Czosnyka; Roel Haeren; Iwan C C van der Horst; Sander M J van Kuijk; Ulrich Strauch; Ken M Brady; Peter Smielewski; Marcel J H Aries
Journal:  J Appl Physiol (1985)       Date:  2022-07-07

2.  Diagnostic and prognostic performance of Mxa and transfer function analysis-based dynamic cerebral autoregulation metrics.

Authors:  Markus Harboe Olsen; Christian Riberholt; Ronni R Plovsing; Ronan Mg Berg; Kirsten Møller
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3.  Reliability and validity of the mean flow index (Mx) for assessing cerebral autoregulation in humans: A systematic review of the methodology.

Authors:  Markus Harboe Olsen; Christian Gunge Riberholt; Jesper Mehlsen; Ronan Mg Berg; Kirsten Møller
Journal:  J Cereb Blood Flow Metab       Date:  2021-10-07       Impact factor: 6.960

4.  The Effects of Gradual Change in Head Positioning on the Relationship between Systemic and Cerebral Haemodynamic Parameters in Healthy Controls and Acute Ischaemic Stroke Patients.

Authors:  Eloise Sands; Louvinia Wong; Man Y Lam; Ronney B Panerai; Thompson G Robinson; Jatinder S Minhas
Journal:  Brain Sci       Date:  2020-08-22

Review 5.  Vascular and haemodynamic issues of brain ageing.

Authors:  Lucy Beishon; Rebecca H Clough; Meeriam Kadicheeni; Tamara Chithiramohan; Ronney B Panerai; Victoria J Haunton; Jatinder S Minhas; Thompson G Robinson
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6.  Influence of Induced Blood Pressure Variability on the Assessment of Cerebral Autoregulation in Patients after Cardiac Arrest.

Authors:  J M D van den Brule; C R van Kaam; J G van der Hoeven; J A H R Claassen; C W E Hoedemaekers
Journal:  Biomed Res Int       Date:  2018-06-06       Impact factor: 3.411

7.  Incomplete recovery of cerebral blood flow dynamics in sufficiently treated high blood pressure.

Authors:  Martin Müller; Mareike Österreich; Alexander von Hessling; Roy S Smith
Journal:  J Hypertens       Date:  2019-02       Impact factor: 4.844

8.  Reliability, reproducibility and validity of dynamic cerebral autoregulation in a large cohort with transient ischaemic attack or minor stroke.

Authors:  Yun-Kai Lee; Peter M Rothwell; Stephen J Payne; Alastair J S Webb
Journal:  Physiol Meas       Date:  2020-10-06       Impact factor: 2.833

9.  Machine Learning Models and Statistical Complexity to Analyze the Effects of Posture on Cerebral Hemodynamics.

Authors:  Max Chacón; Hector Rojas-Pescio; Sergio Peñaloza; Jean Landerretche
Journal:  Entropy (Basel)       Date:  2022-03-19       Impact factor: 2.524

10.  Reliability of the mean flow index (Mx) for assessing cerebral autoregulation in healthy volunteers.

Authors:  Markus H Olsen; Christian G Riberholt; Ronni R Plovsing; Kirsten Møller; Ronan M G Berg
Journal:  Physiol Rep       Date:  2021-06
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