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

Journal
Physiological Measurement
Journal Volume
41
Journal Issue
9
Date Issued
2020
Author(s)
Lee Y.-K.
Rothwell P.M.
Payne S.J.
Webb A.J.S.
STEPHEN JOHN PAYNE  
DOI
10.1088/1361-6579/abad49
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092716314&doi=10.1088%2f1361-6579%2fabad49&partnerID=40&md5=a8c5f74af6c6346dd8cbfdb0bdadb489
https://scholars.lib.ntu.edu.tw/handle/123456789/611720
Abstract
Objective: Cerebral autoregulation (CA) is critical to maintenance of cerebral perfusion but its relevance to the risk of stroke and dementia has been under-studied due to small study sizes and a lack of consensus as to the optimal method of measurement. We determined the reliability and reproducibility of multiple CA indices and the effect of intensive data-processing in a large population with transient ischaemic attack or minor stroke. Approach: Consecutive, consenting patients in the population-based Oxford Vascular Study (OXVASC) Phenotyped cohort underwent up to 10-min supine continuous blood pressure monitoring (Finometer) with bilateral middle cerebral artery (MCA) transcranial ultrasound (DWL-Dopplerbox). Un-processed waveforms (Un-A) were median-filtered, systematically reviewed, artefacts corrected and their quality blindly graded (optimal (A) to worst (E)). CA metrics were derived in time-domain (autoregulatory index (ARI), Pearson’s Mx, Sx, Dx) and in very-low (VLF) and low-frequency (LF) domains (WPS-SI: wavelet phase synchronisation, transfer function analysis), stratified by recording quality. Reliability and reproducibility (Cronbach’s alpha) were determined comparing MCA sides and the first vs. second 5-min of monitoring. Main results: In 453 patients, following manual data-cleaning, there was good reliability of indices when comparing MCA sides (Mx: 0.77; WPS-SI-VLF: 0.85; WPS-SI-LF 0.84), or repeated five minute epochs (Mx: 0.57; WPS-SI-VLF: 0.69; WPS-SI-LF 0.90), with persistently good reliability between sides even in lower quality Groups (Group D: Mx: 0.79; WPS-SI-VLF: 0.92; WPS-SI-LF: 0.91). Reliability was greatest for Pearson’s Mx and wavelet synchronisation index, with reasonable reliability of transfer function analyses, but ARI was prone to occasional, potentially defective, extreme estimates (left vs right MCA: 0.68). Significance: Resting-state measures of CA were valid, reproducible and robust to moderate noise, but require careful data-processing. Mx and wavelet synchronisation index were the most reliable indices for determining the prognostic value of CA in large epidemiological cohorts and its potential as a treatment target. ? 2020 Institute of Physics and Engineering in Medicine
Subjects
Blood pressure
Data handling
Population statistics
Quality control
Reliability analysis
Risk assessment
Time domain analysis
Transfer functions
Cerebral autoregulation
Cerebral perfusion
Lower frequencies
Middle cerebral artery
Optimal methods
Reproducibilities
Stroke
Synchronization index
Transfer function analysis
Transient ischemic attacks
Median filters
aged
blood flow velocity
blood pressure
brain circulation
cerebrovascular accident
diagnostic imaging
female
homeostasis
human
male
middle aged
reproducibility
transcranial Doppler ultrasonography
transient ischemic attack
Aged
Blood Flow Velocity
Blood Pressure
Cerebrovascular Circulation
Female
Homeostasis
Humans
Ischemic Attack, Transient
Male
Middle Aged
Reproducibility of Results
Ultrasonography, Doppler, Transcranial
SDGs

[SDGs]SDG3

Type
journal article

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