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Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease

BACKGROUND: Physiological interactions are abundant within, and between, body systems. These interactions may evolve into discrete states during pathophysiological processes resulting from common mechanisms. An association between arterial stenosis, identified by low ankle-brachial pressure index (A...

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Autores principales: Khalaf, Kinda, Jelinek, Herbert F., Robinson, Caroline, Cornforth, David J., Tarvainen, Mika P., Al-Aubaidy, Hayder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376075/
https://www.ncbi.nlm.nih.gov/pubmed/25870563
http://dx.doi.org/10.3389/fphys.2015.00101
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author Khalaf, Kinda
Jelinek, Herbert F.
Robinson, Caroline
Cornforth, David J.
Tarvainen, Mika P.
Al-Aubaidy, Hayder
author_facet Khalaf, Kinda
Jelinek, Herbert F.
Robinson, Caroline
Cornforth, David J.
Tarvainen, Mika P.
Al-Aubaidy, Hayder
author_sort Khalaf, Kinda
collection PubMed
description BACKGROUND: Physiological interactions are abundant within, and between, body systems. These interactions may evolve into discrete states during pathophysiological processes resulting from common mechanisms. An association between arterial stenosis, identified by low ankle-brachial pressure index (ABPI) and cardiovascular disease (CVD) as been reported. Whether an association between vascular calcification—characterized by high ABPI and a different pathophysiology—is similarly associated with CVD, has not been established. The current study aims to investigate the association between ABPI, and cardiac rhythm, as an indicator of cardiovascular health and functionality, utilizing heart rate variability (HRV). METHODS AND RESULTS: Two hundred and thirty six patients underwent ABPI assessment. Standard time and frequency domain, and non-linear HRV measures were determined from 5-min electrocardiogram. ABPI data were divided into normal (n = 101), low (n = 67) and high (n = 66) and compared to HRV measures.(DFAα(1) and SampEn were significantly different between the low ABPI, high ABPI and control groups (p < 0.05). CONCLUSION: A possible coupling between arterial stenosis and vascular calcification with decreased and increased HRV respectively was observed. Our results suggest a model for interpreting the relationship between vascular pathophysiology and cardiac rhythm. The cardiovascular system may be viewed as a complex system comprising a number of interacting subsystems. These cardiac and vascular subsystems/networks may be coupled and undergo transitions in response to internal or external perturbations. From a clinical perspective, the significantly increased sample entropy compared to the normal ABPI group and the decreased and increased complex correlation properties measured by DFA for the low and high ABPI groups respectively, may be useful indicators that a more holistic treatment approach in line with this more complex clinical picture is required.
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spelling pubmed-43760752015-04-13 Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease Khalaf, Kinda Jelinek, Herbert F. Robinson, Caroline Cornforth, David J. Tarvainen, Mika P. Al-Aubaidy, Hayder Front Physiol Physiology BACKGROUND: Physiological interactions are abundant within, and between, body systems. These interactions may evolve into discrete states during pathophysiological processes resulting from common mechanisms. An association between arterial stenosis, identified by low ankle-brachial pressure index (ABPI) and cardiovascular disease (CVD) as been reported. Whether an association between vascular calcification—characterized by high ABPI and a different pathophysiology—is similarly associated with CVD, has not been established. The current study aims to investigate the association between ABPI, and cardiac rhythm, as an indicator of cardiovascular health and functionality, utilizing heart rate variability (HRV). METHODS AND RESULTS: Two hundred and thirty six patients underwent ABPI assessment. Standard time and frequency domain, and non-linear HRV measures were determined from 5-min electrocardiogram. ABPI data were divided into normal (n = 101), low (n = 67) and high (n = 66) and compared to HRV measures.(DFAα(1) and SampEn were significantly different between the low ABPI, high ABPI and control groups (p < 0.05). CONCLUSION: A possible coupling between arterial stenosis and vascular calcification with decreased and increased HRV respectively was observed. Our results suggest a model for interpreting the relationship between vascular pathophysiology and cardiac rhythm. The cardiovascular system may be viewed as a complex system comprising a number of interacting subsystems. These cardiac and vascular subsystems/networks may be coupled and undergo transitions in response to internal or external perturbations. From a clinical perspective, the significantly increased sample entropy compared to the normal ABPI group and the decreased and increased complex correlation properties measured by DFA for the low and high ABPI groups respectively, may be useful indicators that a more holistic treatment approach in line with this more complex clinical picture is required. Frontiers Media S.A. 2015-03-27 /pmc/articles/PMC4376075/ /pubmed/25870563 http://dx.doi.org/10.3389/fphys.2015.00101 Text en Copyright © 2015 Khalaf, Jelinek, Robinson, Cornforth, Tarvainen and Al-Aubaidy. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Khalaf, Kinda
Jelinek, Herbert F.
Robinson, Caroline
Cornforth, David J.
Tarvainen, Mika P.
Al-Aubaidy, Hayder
Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
title Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
title_full Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
title_fullStr Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
title_full_unstemmed Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
title_short Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
title_sort complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376075/
https://www.ncbi.nlm.nih.gov/pubmed/25870563
http://dx.doi.org/10.3389/fphys.2015.00101
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