NDLI: Risk stratification in congestive heart failure patients using a model-based approach to heart rate turbulence characterization

Content Provider	IEEE Xplore Digital Library
Author	Martinez, J.P. Cygankiewicz, I. Smith, D. de Luna, A.B. Laguna, P. Sornmo, L.
Copyright Year	2009
Description	Author affiliation: Aragon Institute of Engineering Research (I3A), University of Zaragoza, Spain (Martinez, J.P.; Laguna, P.) \|\| Department of Electrocardiology, Medical University of Lodz, Poland (Cygankiewicz, I.) \|\| Institut Català de Ciències Cardiovasculars, Barcelona, Spain (de Luna, A.B.) \|\| Dept of Electrical and Information Technology, Lund University, Sweden (Smith, D.; Sornmo, L.)
Abstract	Heart rate turbulence (HRT) is commonly assessed by two parameters: turbulence onset (TO) and turbulence slope (TS), both obtained by averaging RR tachograms following a ventricular premature beat (VPB). It has been recently shown that a model-based detection-theoretical approach results in HRT indices outperforming TO/TS in identifying the presence or absence of HRT. The aim of this work is to evaluate the risk stratification ability of this approach, as compared with the classical parameters TO and TS, in a population of 96 ischemic patients with mild to moderate congestive heart failure. We found significant differences (Mann-Withney U test) between survivors and cardiac death groups for TS and the new parameter TΣ(x). Survival analysis showed that TΣ(x) is the HRT index with highest association to risk of cardiac death (hazard ratio=2.8, p =0.008). Results show improved risk stratification of the new description of HRT with respect to classical parameters.
Starting Page	337
Ending Page	340
File Size	136827
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Heart rate Heart rate variability Cardiology Acceleration Biomedical engineering Information technology Pulse modulation Frequency modulation Statistics Testing
Content Type	Text
Resource Type	Article

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