Literature DB >> 20347852

Relationship between nonlinear properties of sacral skin blood flow oscillations and vasodilatory function in people at risk for pressure ulcers.

Fuyuan Liao1, David W Garrison, Yih-Kuen Jan.   

Abstract

The purposes of this study were to quantify the nonlinear properties of sacral skin blood flow oscillations (BFO) and to explore their relationships with impaired vasodilatory function in people at risk for pressure ulcers. A total of 25 people with various levels of vasodilatory functions were studied, 10 people with normal vasodilatory function (Biphasic thermal index, BTI (5.5, 4.5, 10.1)), 10 people with slight impaired vasodilatory function (BTI (3.7, 3.2, 6.7)), and 5 people with severe impaired vasodilation (BTI (2.4, 1.7, 4.5)). A non-painful fast heating protocol was applied to the sacral region to induce biphasic vasodilation, axon reflex mediated and nitric oxide mediated. Biphasic thermal index is defined as ratios of first peak, nadir, and second peak to baseline blood flow. Laser Doppler flowmetry was used to record the BFO signals. Nonlinear properties of BFO were quantified based on self-similarity using Hurst exponent (HE) and detrended fluctuation analysis (DFA), regularity using sample entropy (SampEn), complexity using correlation dimension (CD), and chaotic behavior using largest Lyapunov exponent (LLE). The Wilcoxon signed rank tests were used to examine the differences between groups. Our results showed that local heating reduces the self-similarity and increases complexity of skin blood flow oscillations. Vasodilatory function has an inverse relationship with nonlinear properties in sacral skin baseline BFO. Nonlinear indexes, including HE, DFA, CD, and LLE, are appropriate tools to quantify nonlinear properties of BFO to study the microvascular dysfunction (p<0.05), and that SampEn may not be appropriate for this purpose (p>0.05). Our study supports the use of nonlinear indexes to predict the vasodilatory function, which can complement current analysis of blood flow control mechanisms using spectral (wavelet) analysis. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20347852     DOI: 10.1016/j.mvr.2010.03.009

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  14 in total

1.  Multifractal analysis of nonlinear complexity of sacral skin blood flow oscillations in older adults.

Authors:  Fuyuan Liao; Bryan D Struck; Margo Macrobert; Yih-Kuen Jan
Journal:  Med Biol Eng Comput       Date:  2011-04-13       Impact factor: 2.602

2.  Enhanced phase synchronization of blood flow oscillations between heated and adjacent non-heated sacral skin.

Authors:  Fuyuan Liao; Yih-Kuen Jan
Journal:  Med Biol Eng Comput       Date:  2012-08-31       Impact factor: 2.602

3.  Assessing complexity of skin blood flow oscillations in response to locally applied heating and pressure in rats: implications for pressure ulcer risk.

Authors:  Fuyuan Liao; William D O'Brien; Yih-Kuen Jan
Journal:  Physica A       Date:  2013-10-15       Impact factor: 3.263

4.  Assessing skin blood flow dynamics in older adults using a modified sample entropy approach.

Authors:  Fuyuan Liao; Yih-Kuen Jan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  A recurrence network approach for the analysis of skin blood flow dynamics in response to loading pressure.

Authors:  Fuyuan Liao; Yih-Kuen Jan
Journal:  J Biomed Graph Comput       Date:  2012-06

Review 6.  Skin blood flow dynamics and its role in pressure ulcers.

Authors:  Fuyuan Liao; Stephanie Burns; Yih-Kuen Jan
Journal:  J Tissue Viability       Date:  2013-04-18       Impact factor: 2.932

7.  Using recurrence network approach to quantify nonlinear dynamics of skin blood flow in response to loading pressure.

Authors:  Fuyuan Liao; Yih-Kuen Jan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

8.  Using Modified Sample Entropy to Characterize Aging-Associated Microvascular Dysfunction.

Authors:  Fuyuan Liao; Yih-Kuen Jan
Journal:  Front Physiol       Date:  2016-04-12       Impact factor: 4.566

9.  Evaluation of a Decision Support System for Obstructive Sleep Apnea with Nonlinear Analysis of Respiratory Signals.

Authors:  Evangelos Kaimakamis; Venetia Tsara; Charalambos Bratsas; Lazaros Sichletidis; Charalambos Karvounis; Nikolaos Maglaveras
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

10.  Exploring the Relationship between Blood Flux Signals and HRV following Different Thermal Stimulations using Complexity Analysis.

Authors:  Guangjun Wang; Shuyong Jia; Hongyan Li; Ze Wang; Weibo Zhang
Journal:  Sci Rep       Date:  2018-06-12       Impact factor: 4.379

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