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Multivariate and multidimensional analysis of cardiovascular oscillations in patients with heart failure

  • Andreas Voss , Rico Schroeder , Sandra Truebner , Mathias Baumert , Matthias Goernig , Andreas Hagenow and Hans-Reiner Figulla
Published/Copyright: October 25, 2006
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 51 Issue 4

Abstract

Within 5 years of first diagnosis, nearly 60% of patients with heart failure (HF) suffer from cardiac death. Early diagnosis of HF and reliable risk prediction are still required. Therefore, the objective of this study was to develop a parameter set for enhanced risk stratification in HF patients. In 43 patients suffering from HF (NYHA class ≥II, ejection fraction <45%) and 10 healthy subjects (REF), heart rate and blood pressure variability (HRV and BPV), interactions between heart rate and blood pressure (joint symbolic dynamics, JSD) and blood pressure morphology (BPM) were analysed. BPV, BPM and JSD measures revealed high significance (p<0.0001) in discriminating REF and HF. A set of three parameters from BPV, JSD and BPM was developed for risk stratification (sensitivity 76.5%, specificity 84.2%, area under the receiver operating characteristic curve 81.4%) in patients with HF.


Corresponding author: Andreas Voss, Prof. Dr.-Ing., Department of Medical Engineering, University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany Phone: +49-3641-205601 Fax: +49-3641-205626

References

1 Baumert M, Walther T, Hopfe J, Stepan H, Faber R, Voss A. Joint symbolic dynamic analysis of beat-to-beat interactions of heart rate and systolic blood pressure in normal pregnancy. Med Biol Eng Comput2002; 40: 241–245.10.1007/BF02348131Search in Google Scholar PubMed

2 Di Rienzo M, Parati G, Castiglioni P, Tordi R, Mancia G, Pedotti A. Baroreflex effectiveness index: an additional measure of baroreflex control of heart rate in daily life. Am J Physiol Regul Integr Comp Physiol2001; 280: R744– R751.10.1152/ajpregu.2001.280.3.R744Search in Google Scholar PubMed

3 Galinier M, Pathak A, Fourcade J, et al. Depressed low frequency power of heart rate variability as an independent predictor of sudden death in chronic heart failure. Eur Heart J2000; 21: 475–482.10.1053/euhj.1999.1875Search in Google Scholar PubMed

4 Gibelin P, Spillner E, Bonnan S, Chevallier T. Non-invasive blood pressure variability in chronic heart failure: characteristics and prognostic value. Arch Mal Coeur Vaiss2003; 96: 955–962.Search in Google Scholar

5 Grimm W, Christ M, Bach J, Mueller HH, Maisch B. Noninvasive arrhythmia risk stratification in idiopathic dilated cardiomyopathy: results of the Marburg Cardiomyopathy Study. Circulation2003; 108: 2883–2891.10.1161/01.CIR.0000100721.52503.85Search in Google Scholar PubMed

6 Guideline update for the diagnosis and management of chronic heart failure in the adult. American College of Cardiology Foundation and the American Heart Association 2005.Search in Google Scholar

7 Leder U, Pohl HP, Baier V, et al. Alternans of blood pressure and heart rate in dilated cardiomyopathy. Pacing Clin Electrophysiol2002; 25: 1307–1314.10.1046/j.1460-9592.2002.01307.xSearch in Google Scholar PubMed

8 Nolan J, Batin PD, Andrews R, et al. Prospective study of heart rate variability and mortality in chronic heart failure. Results of the United Kingdom Heart Failure Evaluation and Assessment of Risk Trial (UK-Heart). Circulation1998; 98: 1510–1516.10.1161/01.CIR.98.15.1510Search in Google Scholar PubMed

9 SHAPE (Study on Heart Failure Awareness and Perception in Europe). Understanding heart failure. http://www.heart failure-europe.com.Search in Google Scholar

10 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

11 Voss A, Hnatkova K, Wessel N, et al. Multiparametric analysis of heart rate variability used for risk stratification among survivors of acute myocardial infarction. Pacing Clin Electrophysiol1998; 21: 186–192.10.1111/j.1540-8159.1998.tb01086.xSearch in Google Scholar PubMed

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

©2006 by Walter de Gruyter Berlin New York

Articles in the same Issue

  1. ESGCO 2006 Conference and Meeting of the European Study Group on Cardiovascular Oscillations, Jena, Germany, May 15–17, 2006
  2. Cardiovascular Oscillations: from methods and models to clinical applications
  3. Circadian and ultradian rhythms in heart rate variability
  4. Influence of age, body mass index, and blood pressure on the carotid intima-media thickness in normotensive and hypertensive patients
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  18. Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients
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  22. Differences between heart rate and blood pressure variability in schizophrenia
  23. Influence of sympathetic vascular regulation on heart-rate scaling structure: spinal cord lesion as a model of progressively impaired autonomic control
  24. Increase in regularity of fetal heart rate variability with age
  25. Fetal heart rate variability in growth restricted fetuses
  26. Frequency modulation between low- and high-frequency components of the heart rate variability spectrum
  27. Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series
  28. Assessment of spatial organization in the atria during paroxysmal atrial fibrillation and adrenergic stimulation
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  30. Central vasopressin V1a and V1b receptors modulate the cardiovascular response to air-jet stress in conscious rats
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