Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/85209
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Type: Conference paper
Title: QT variability analysis for risk stratification in patients with dilated cardiomyopathy
Author: Fischer, C.
Seeck, A.
Schroeder, R.
Goernig, M.
Schirdewan, A.
Figulla, H.R.
Baumert, M.
Voss, A.
Citation: 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014, 2014 / pp.41-42
Publisher: IEEE
Publisher Place: U.S.
Issue Date: 2014
ISBN: 9781479939695
Conference Name: 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) (25 May 2014 - 28 May 2014 : Trento, Italy)
Statement of
Responsibility: 
Claudia Fischer, Andrea Seeck, Rico Schroeder, Matthias Goernig, Alexander Schirdewan, Hans-Reiner Figulla, Mathias Baumert, and Andreas Voss
Abstract: Recently it could be demonstrated that systolic and diastolic blood pressure variability (BPV) as well as segmented Poincare plot analysis (SPPA) contribute to risk stratification in patients suffering from dilated cardiomyopathy (DCM). The aim of this study was to further improve the risk stratification applying multivariate technique including QT variability (QTV). 56 low risk and 13 high risk DCM patients were enrolled and significantly separated by nearly all methods except traditional heart rate variability analysis. The optimum set of indices included the diastolic BPV index DBP_Shannon and the index QTV_log achieving an area under the receiver operating characteristics curve (AUC) of 92%, sensitivity of 92.3% and specificity of 89.3%. Without BPV analysis the optimum multivariate approach including indices from SPPA and QTV achieved an AUC of 88.3%. Summarizing, we identified DCM patients with an increased risk of sudden cardiac death applying QTV analysis in a multivariate approach.
Rights: ©2014 IEEE
RMID: 0030007417
DOI: 10.1109/ESGCO.2014.6847509
Appears in Collections:Electrical and Electronic Engineering publications

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