Segmented Poincaré Plot Analysis for Risk Stratification in Patients with Dilated Cardiomyopathy

A. Voss; C. Fischer; R. Schroeder; H. R. Figulla; M. Goernig

doi:10.3414/ME09-02-0050

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 2010; 49(05): 511-515
DOI: 10.3414/ME09-02-0050

Special Topic – Original Articles

Schattauer GmbH

Segmented Poincaré Plot Analysis for Risk Stratification in Patients with Dilated Cardiomyopathy

Authors

A. Voss

¹Department of Medical Engineering and Biotechnology, University of Applied Sciences, Jena, Germany
C. Fischer

¹Department of Medical Engineering and Biotechnology, University of Applied Sciences, Jena, Germany
R. Schroeder

¹Department of Medical Engineering and Biotechnology, University of Applied Sciences, Jena, Germany
H. R. Figulla

²Clinic for Internal Medicine I, Friedrich-Schiller-University Hospital, Jena, Germany
M. Goernig

²Clinic for Internal Medicine I, Friedrich-Schiller-University Hospital, Jena, Germany

Abstract

Summary

Background: The prognostic value of heart rate variability in patients with dilated cardiomyopathy (DCM) is limited and does not contribute to risk stratification although the dynamics of ventricular repolarization differs considerably between DCM patients and healthy subjects. Neither linear nor nonlinear methods of heart rate variability analysis could discriminate between patients at high and low risk for sudden cardiac death.

Objective: The aim of this study was to analyze the suitability of the new developed segmented Poincaré plot analysis (SPPA) to enhance risk stratification in DCM.

Methods: In contrast to the usual applied Poincaré plot analysis the SPPA retains nonlinear features from investigated beat-to-beat interval time series. Main features of SPPA are the rotation of cloud of points and their succeeded variability depended segmentation.

Results: Significant row and column probabilities were calculated from the segments and led to discrimination (up to p < 0.005) between low and high risk in DCM patients.

Conclusion: For the first time an index from Poincaré plot analysis of heart rate variability was able to contribute to risk stratification in patients suffering from DCM.

Keywords

Dilated cardiomyopathy - nonlinear dynamics - Poincaré plot - risk stratification

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Referenzen

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