Literature DB >> 12780162

Age-related changes in the "complexity" of cardiovascular dynamics: A potential marker of vulnerability to disease.

Lewis A. Lipsitz1.   

Abstract

Healthy physiologic control of cardiovascular function is a result of complex interactions between multiple regulatory processes that operate over different time scales. These include the sympathetic and parasympathetic nervous systems which regulate beat-to-beat heart rate (HR) and blood pressure (BP), as well as extravascular volume, body temperature, and sleep which influence HR and BP over the longer term. Interactions between these control systems generate highly variable fluctuations in continuous HR and BP signals. Techniques derived from nonlinear dynamics and chaos theory are now being adapted to quantify the dynamic behavior of physiologic time series and study their changes with age or disease. We have shown significant age-related changes in the 1/f(x) relationship between the log amplitude and log frequency of the heart rate power spectrum, as well as declines in approximate dimension and approximate entropy of both heart rate and blood pressure time series. These changes in the "complexity" of cardiovascular dynamics reflect the breakdown and decoupling of integrated physiologic regulatory systems with aging, and may signal an impairment in cardiovascular ability to adapt to external and internal perturbations. Studies are currently underway to determine whether the complexity of HR or BP time series can distinguish patients with fainting spells due to benign vasovagal reactions from those due to life-threatening cardiac arrhythmias. Thus, measures of the complexity of physiologic variability may provide novel methods to monitor cardiovascular aging and test the efficacy of specific interventions to improve adaptive capacity in old age. (c) 1995 American Institute of Physics.

Entities:  

Year:  1995        PMID: 12780162     DOI: 10.1063/1.166091

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  18 in total

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4.  Nonlinear dynamics of blood pressure variability after caffeine consumption.

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5.  Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches.

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Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

Review 6.  Physiologic complexity and aging: implications for physical function and rehabilitation.

Authors:  Brad Manor; Lewis A Lipsitz
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2012-09-15       Impact factor: 5.067

7.  Effects of stress on heart rate complexity--a comparison between short-term and chronic stress.

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8.  The Baltimore Longitudinal Study of Aging (BLSA): a 50-year-long journey and plans for the future.

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-12       Impact factor: 6.053

9.  Short-term complexity of cardiac autonomic control during sleep: REM as a potential risk factor for cardiovascular system in aging.

Authors:  Antoine U Viola; Eleonora Tobaldini; Sarah L Chellappa; Karina Rabello Casali; Alberto Porta; Nicola Montano
Journal:  PLoS One       Date:  2011-04-22       Impact factor: 3.240

10.  Plasticity of heart rate signalling and complexity with exercise training in obese individuals with and without type 2 diabetes.

Authors:  J A Kanaley; S Goulopoulou; R M Franklin; T Baynard; M E Holmstrup; R Carhart; R S Weinstock; B Fernhall
Journal:  Int J Obes (Lond)       Date:  2009-08-04       Impact factor: 5.095

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