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Myths and methodologies: Assessment of dynamic cerebral autoregulation by the mean flow index.

Authors :
Olsen MH
Riberholt CG
Berg RMG
Møller K
Source :
Experimental physiology [Exp Physiol] 2024 Apr; Vol. 109 (4), pp. 614-623. Date of Electronic Publication: 2024 Feb 20.
Publication Year :
2024

Abstract

The mean flow index-usually referred to as Mx-has been used for assessing dynamic cerebral autoregulation (dCA) for almost 30 years. However, concerns have arisen regarding methodological consistency, construct and criterion validity, and test-retest reliability. Methodological nuances, such as choice of input (cerebral perfusion pressure, invasive or non-invasive arterial pressure), pre-processing approach and artefact handling, significantly influence mean flow index values, and previous studies correlating mean flow index with other established dCA metrics are confounded by inherent methodological flaws like heteroscedasticity, while the mean flow index also fails to discriminate individuals with presumed intact versus impaired dCA (discriminatory validity), and its prognostic performance (predictive validity) across various conditions remains inconsistent. The test-retest reliability, both within and between days, is generally poor. At present, no single approach for data collection or pre-processing has proven superior for obtaining the mean flow index, and caution is advised in the further use of mean flow index-based measures for assessing dCA, as current evidence does not support their clinical application.<br /> (© 2024 The Authors. Experimental Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.)

Details

Language :
English
ISSN :
1469-445X
Volume :
109
Issue :
4
Database :
MEDLINE
Journal :
Experimental physiology
Publication Type :
Academic Journal
Accession number :
38376110
Full Text :
https://doi.org/10.1113/EP091327