Multi-domain analysis of microvascular flow motion dynamics in NAFLD

Chipperfield, A.J., Thanaj, M., Scorletti, E., Byrne, C.D. and Clough, G.F. 2019. Multi-domain analysis of microvascular flow motion dynamics in NAFLD. Microcirculation. 26 (5) e12538. https://doi.org/10.1111/micc.12538

TitleMulti-domain analysis of microvascular flow motion dynamics in NAFLD
TypeJournal article
AuthorsChipperfield, A.J., Thanaj, M., Scorletti, E., Byrne, C.D. and Clough, G.F.
Abstract

Objective
To determine whether analysis of microvascular network perfusion using complexity-based methods can discriminate between groups of individuals at an increased risk of developing CVD.
Methods
Data were obtained from laser Doppler recordings of skin blood flux at the forearm in 50 participants with non-alcoholic fatty liver disease grouped for absence (n = 28) or presence (n = 14) of type 2 diabetes and use of calcium channel blocker medication (n = 8). Power spectral density was evaluated and Lempel-Ziv complexity determined to quantify signal information content at single and multiple time-scales to account for the different processes modulating network perfusion.
Results
Complexity was associated with dilatory capacity and respiration and negatively with baseline blood flux and cardiac band power. The relationship between the modulators of flowmotion and complexity of blood flux is shown to change with time-scale improving discrimination between groups. Multiscale Lempel-Ziv achieved best classification accuracy of 86.1%.
Conclusions
Time and frequency domain measures alone are insufficient to discriminate between groups. As cardiovascular disease risk increases, the degree of complexity of the blood flux signal reduces, indicative of a reduced temporal activity and heterogeneous distribution of blood flow within the microvascular network sampled. Complexity-based methods, particularly multiscale variants, are shown to have good discriminatory capabilities.

Article numbere12538
JournalMicrocirculation
Journal citation26 (5)
ISSN1549-8719
1073-9688
Year2019
PublisherWiley
Digital Object Identifier (DOI)https://doi.org/10.1111/micc.12538
PubMed ID30803094
Web address (URL)https://doi.org/10.1111/micc.12538
Publication dates
Published26 Mar 2019

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