Paper Info
Title
Challenging Recently Published Parameter Sets for Entropy Measures in Risk Prediction for End-Stage Renal Disease Patients.
Abstract
Heart rate variability (HRV) analysis is a non-invasive tool for assessing cardiac health. Entropy measures quantify the chaotic properties of HRV, but they are sensitive to the choice of their required parameters. Previous studies therefore have performed parameter optimization, targeting solely their particular patient cohort. In contrast, this work aimed to challenge entropy measures with recently published parameter sets, without time-consuming optimization, for risk prediction in end-stage renal disease patients. Approximate entropy, sample entropy, fuzzy entropy, fuzzy measure entropy, and corrected approximate entropy were examined. In total, 265 hemodialysis patients from the ISAR (rISk strAtification in end-stage Renal disease) study were analyzed. Throughout a median follow-up time of 43 months, 70 patients died. Fuzzy entropy and corrected approximate entropy (CApEn) provided significant hazard ratios, which remained significant after adjustment for clinical risk factors from literature if an entropy maximizing threshold parameter was chosen. Revealing results were seen in the subgroup of patients with heart disease (HD) when setting the radius to a multiple of the data's standard deviation (r = 0.2 center dot sigma); all entropies, except CApEn, predicted mortality significantly and remained significant after adjustment. Therefore, these two parameter settings seem to reflect different cardiac properties. This work shows the potential of entropy measures for cardiovascular risk stratification in cohorts the parameters were not optimized for, and it provides additional insights into the parameter choice.
Year
DOI
Venue
2017
10.3390/e19110582
ENTROPY
Keywords
Field
DocType
approximate entropy,sample entropy,fuzzy entropy,fuzzy measure entropy,heart rate variability,predictive value,end-stage renal disease
Approximate entropy,Mathematical optimization,Sample entropy,Heart rate variability,Fuzzy logic,Statistics,Cohort,Standard deviation,Mathematics,Heart disease,Hazard ratio
Journal
Volume
Issue
Citations 
19
11
2
PageRank 
References 
Authors
0.39
6
11
Name
Order
Citations
PageRank
Stefan Hagmair120.39
Martin Bachler2354.27
Matthias C. Braunisch320.39
Georg Lorenz420.39
Christoph Schmaderer520.39
Anna-Lena Hasenau620.39
Lukas von Stülpnagel720.39
axel bauer820.73
Kostantinos D. Rizas920.39
Siegfried Wassertheurer107614.86
Christopher Mayer116412.31