Abstract
Heart failure has a current prevalence of 14 million concerned people in Europe and is thus a major and escalating public health problem in the industrialized countries with ageing populations. A five-year mortality rate between 62–75% in men and 38–42% in women related to the initial diagnosis of heart failure was documented in the Framingham study. The aim of this study was to investigate the suitability of linear (according the Task Force recommendations) and nonlinear (symbolic dynamics - SD and detrended fluctuation analysis - DFA) methods of heart rate variability (HRV) analysis for risk stratification in patients with ischemic heart failure (IHF). From 221 low risk (LR: stable condition) and 35 high risk (HR: cardiac death) IHF patients HRV from 24h long-term BBI time series were analyzed. Seven measures from all applied methods revealed significant differences (p<0.05) discriminating LR and HR patients. These results suggest that HRV analysis according to the Task Force (only frequency domain), SD and DFA are useful methods for enhanced risk stratification in IHF patients.
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References
Guindo J, Bayés Genis A, Dominguez de Rozas JM et al. (1996) Sudden death in heart failure. Heart Failure Reviews 1:249–260
Kitsios G, Zintzaras E (2007) Genetic variation associated with ischemic heart failure: a HuGE review and meta-analysis. Am J Epidemiol 166(6):619–633
SHAPE (Study on Heart failure Awareness and Perception in Europe). Understanding Heart Failure. http://www.heartfailureeurope. com
Ho KK, Anderson KM, Kannel WB et al. (1993) Survival after the onset of congestive heart failure in Framingham Heart Study subjects. Circulation 88(1):107–115
Huikuri HV, Makikallio TH, Raatikainen MJ et al. (2003) Prediction of sudden cardiac death: appraisal of the studies and methods assessing the risk of sudden arrhythmic death. Circulation 108(1):110–115
Kleiger RE, Stein PK, Bigger JT Jr. (2005) Heart rate variability: measurement and clinical utility. Ann Nonin Electrocardiol 10(1):88–101
Voss A, Hnatkova K, Wessel N et al. (1998) Multi-parametric analysis of heart rate variability used for risk stratification among survivors of acute myocardial infarction. Pace 21:186–192
Zareba W, Moss AJ (2003) Noninvasive risk stratification in postinfarction patients with severe left ventricular dysfunction and methodology of the MADIT II noninvasive electrocardiology substudy. J Electrocardiol 36:101–108
Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability-Standards of Measurement. Physiological Interpretation and Clinical Use. Circulation 93(5):1043–1065
Voss A, Kurths J, Kleiner HJ et al. (1996) The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death. Cardiovascular Research 31:419–433
Mrowka R, Schluter B, Patzak A et al. (1997) Symbolic Dynamics approach in the analysis of heart rate in premature babies at high risk of sudden infant death syndrome (SIDS). Computers in Cardiology 24:37–40
Peng CK, Buldyrev SV, Havlin S et al. (1994) Mosaic organization of DNA nucleotides. Phys Rev E 49:1685–1689
Peng CK, Havlin S, Stanley HE et al. (1995) Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos 5:82–87
Goldberger AL, Amaral LAN, Glass L et al. (2000) PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215–e220
Galinier M, Pathak A, Fourcade J et. al. (2000) Depressed low frequency power of heart rate variability as an independent predictor of sudden death in chronic heart failure. Eur Heart J 21:475–482
La Rovere MT, Pinna GD, Maestri R et al. (2003) Short-term heart rate variability strongly predicts sudden cardiac death in chronic heart failure patients. Circulation 107:565–570
Guzzetti S, La Rovere MT, Pinna GD et al. (2005) Different spectral components of 24 h heart rate variability are related to different modes of death in chronic heart failure. Eur Heart J 26(4):357–362
van de Borne P, Montano N, Pagani M et al. (1997) Absence of lowfrequency variability of sympathetic nerve activity in severe heart failure. Circulation 95(6):1449–1454
Mäkikallio TH, Huikuri HV, Mäkikallio A et al. (2001) Prediction of sudden cardiac death by fractal analysis of heart rate variability in elderly subjects. J Am Coll Cardiol 37(5):1395–1402
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© 2009 Springer-Verlag Berlin Heidelberg
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Voss, A. et al. (2009). Risk Stratification in Ischemic Heart Failure Patients with Linear and Nonlinear Methods of Heart Rate Variability Analysis. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_1
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DOI: https://doi.org/10.1007/978-3-540-89208-3_1
Publisher Name: Springer, Berlin, Heidelberg
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