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Short-term vs. long-term heart rate variability in ischemic cardiomyopathy risk stratification

Overview of attention for article published in Frontiers in Physiology, January 2013
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Title
Short-term vs. long-term heart rate variability in ischemic cardiomyopathy risk stratification
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00364
Pubmed ID
Authors

Andreas Voss, Rico Schroeder, Montserrat Vallverdú, Steffen Schulz, Iwona Cygankiewicz, Rafael Vázquez, Antoni Bayés de Luna, Pere Caminal

Abstract

In industrialized countries with aging populations, heart failure affects 0.3-2% of the general population. The investigation of 24 h-ECG recordings revealed the potential of nonlinear indices of heart rate variability (HRV) for enhanced risk stratification in patients with ischemic heart failure (IHF). However, long-term analyses are time-consuming, expensive, and delay the initial diagnosis. The objective of this study was to investigate whether 30 min short-term HRV analysis is sufficient for comparable risk stratification in IHF in comparison to 24 h-HRV analysis. From 256 IHF patients [221 at low risk (IHFLR) and 35 at high risk (IHFHR)] (a) 24 h beat-to-beat time series (b) the first 30 min segment (c) the 30 min most stationary day segment and (d) the 30 min most stationary night segment were investigated. We calculated linear (time and frequency domain) and nonlinear HRV analysis indices. Optimal parameter sets for risk stratification in IHF were determined for 24 h and for each 30 min segment by applying discriminant analysis on significant clinical and non-clinical indices. Long- and short-term HRV indices from frequency domain and particularly from nonlinear dynamics revealed high univariate significances (p < 0.01) discriminating between IHFLR and IHFHR. For multivariate risk stratification, optimal mixed parameter sets consisting of 5 indices (clinical and nonlinear) achieved 80.4% AUC (area under the curve of receiver operating characteristics) from 24 h HRV analysis, 84.3% AUC from first 30 min, 82.2 % AUC from daytime 30 min and 81.7% AUC from nighttime 30 min. The optimal parameter set obtained from the first 30 min showed nearly the same classification power when compared to the optimal 24 h-parameter set. As results from stationary daytime and nighttime, 30 min segments indicate that short-term analyses of 30 min may provide at least a comparable risk stratification power in IHF in comparison to a 24 h analysis period.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Ph. D. Student 7 15%
Researcher 6 13%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Other 12 26%
Unknown 4 9%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Engineering 6 13%
Computer Science 6 13%
Psychology 4 9%
Agricultural and Biological Sciences 3 6%
Other 8 17%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 December 2013.
All research outputs
#20,213,623
of 22,736,112 outputs
Outputs from Frontiers in Physiology
#9,312
of 13,539 outputs
Outputs of similar age
#248,822
of 280,808 outputs
Outputs of similar age from Frontiers in Physiology
#243
of 398 outputs
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