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

Martínez Cortés, Juan Pablo ; Cygankiewicz, I. ; Smith, D. LU ; Bayés De Luna, A. ; Laguna, P. and Sörnmo, L. LU (2009) 36th Annual Conference of Computers in Cardiology, CinC 2009 36. p.337-340
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 signifi-cant differences (Mann-Withney U test) between survivors and cardiac death groups for TS and the new parameter TΣ(x).... (More)

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 signifi-cant 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.

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author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
ventricular premature beats, model-based detection-theoretical approach, ischemic patients, Mann-Whitney U test, cardiac death groups, survival analysis, risk stratification, congestive heart failure, heart rate turbulence characterization, turbulence onset, turbulence slope, averaging RR tachograms
host publication
Computers in Cardiology 2009, CinC 2009
volume
36
article number
5445400
pages
4 pages
conference name
36th Annual Conference of Computers in Cardiology, CinC 2009
conference location
Park City, UT, United States
conference dates
2009-09-13 - 2009-09-16
external identifiers
  • scopus:77952708873
ISBN
9781424472819
language
English
LU publication?
yes
id
865df98a-96a0-482b-9363-341caae30730
alternative location
https://ieeexplore.ieee.org/document/5445400/
date added to LUP
2019-06-04 15:47:59
date last changed
2020-01-13 01:58:10
@inproceedings{865df98a-96a0-482b-9363-341caae30730,
  abstract     = {<p>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 signifi-cant differences (Mann-Withney U test) between survivors and cardiac death groups for TS and the new parameter T<sub>Σ</sub>(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.</p>},
  author       = {Martínez Cortés, Juan Pablo and Cygankiewicz, I. and Smith, D. and Bayés De Luna, A. and Laguna, P. and Sörnmo, L.},
  booktitle    = {Computers in Cardiology 2009, CinC 2009},
  isbn         = {9781424472819},
  language     = {eng},
  month        = {12},
  pages        = {337--340},
  title        = {Risk stratification in congestive heart failure patients using a model-based approach to heart rate turbulence characterization},
  url          = {https://ieeexplore.ieee.org/document/5445400/},
  volume       = {36},
  year         = {2009},
}