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Complex autonomic dysfunction in cardiovascular, intensive care, and schizophrenic patients assessed by autonomic information flow

  • Dirk Hoyer , Birgit Frank , Christine Götze , Hendrik Schmidt , Rafal Baranowski , Jan J. Żebrowski , Montserrat Vallverdú , Pere Caminal , Antonio Bayés De Luna , Kathrin Falkenhahn , Karl-Jürgen Bär and Phyllis K. Stein
Published/Copyright: October 25, 2006
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 51 Issue 4

Abstract

Background: The cardiovascular control system is mediated by mechanisms acting at different time scales, such as heart period, vagal, sympathetic, and other slower controllers. Since these elements are interrelated in a complex manner, classical control theory fails and information-based description, based on autonomic information flow (AIF) functions, is appropriate. We investigated the hypothesis that AIF functions of typical time scales specifically characterize autonomic dysfunction and prognosis.

Materials and methods: Holter recordings of patients with multiple organ dysfunction syndrome (MODS) (26 survivors, 10 non-survivors), heart failure (13 low risk, 13 high risk of cardiac arrest), idiopathic dilated cardiomyopathy (IDC) (26 low risk, 11 high risk), after abdominal aorta surgery (AAS) [32 with length of stay in hospital (LOS) >7 days; 62 with LOS ≤7 days] or with schizophrenia (n=20) were assessed and compared to 20 control subjects.

Results: We found different AIF time scales discriminating risk. AIF measures of heart beat period had predominant prognostic value in heart failure patients, those of vagal communication in MODS and IDC, and those of long-term communication after AAS. Schizophrenic patients were discriminated from controls by vagally mediated communication.

Conclusion: Different time scales of AIF represent specific pathophysiological aspects of altered complex autonomic control (communication) and consequently have predictive implications.


Corresponding author: Dirk Hoyer, Biomagnetisches Zentrum, Klinik für Neurologie, Friedrich Schiller Universität, Erlanger Allee 101, 07747 Jena, Germany Phone: +49-3641-9325 795 Fax: +49-3641-9325 772

References

1 Bär KJ, Letzsch A, Jochum T, Wagner G, Greiner W, Sauer H. Loss of efferent vagal activity in acute schizophrenia. J Psychiatr Res2005; 39: 519–527.10.1016/j.jpsychires.2004.12.007Search in Google Scholar PubMed

2 Hogue CW, Domitrovich PP, Stein PK, et al. RR interval dynamics before atrial fibrillation in patients after coronary artery bypass graft surgery. Circulation1998; 98: 429–434.10.1161/01.CIR.98.5.429Search in Google Scholar PubMed

3 Hoyer D, Pompe B, Chon KH, Hardraht H, Wicher C, Zwiener U. Mutual information function assesses autonomic information flow of heart rate dynamics at different time scales. IEEE Trans Biomed Eng2005; 52: 584–592.10.1109/TBME.2005.844023Search in Google Scholar PubMed

4 Hoyer D, Friedrich H, Zwiener U, et al. Prognostic impact of autonomic information flow in multiple organ dysfunction syndrome patients. Int J Cardiol2006; 108: 359–369.10.1016/j.ijcard.2005.05.031Search in Google Scholar PubMed

5 Hoyer D, Friedrich H, Frank B, et al. Autonomic information flow improves prognostic impact of task force HRV monitoring. Comput Methods Programs Biomed2006; 81: 246–255.10.1016/j.cmpb.2006.01.002Search in Google Scholar PubMed

6 Ho KK, Moody GB, Peng CK, et al. Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. Circulation1997; 96: 842–848.10.1161/01.CIR.96.3.842Search in Google Scholar

7 Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation 1996; 93: 1043–1065.Search in Google Scholar

8 Taylor JA, Carr DL, Myers CW, Eckberg DL. Mechanisms underlying very-low-frequency RR-interval oscillations in humans. Circulation1998; 98: 547–555.10.1161/01.CIR.98.6.547Search in Google Scholar PubMed

Published Online: 2006-10-25
Published in Print: 2006-10-01

©2006 by Walter de Gruyter Berlin New York

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