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Analysis of heart rate variability as a predictor of mortality in cardiovascular patients of intensive care unit

Paper ID Volume ID Publish Year Pages File Format Full-Text
5176 347 2015 10 PDF Available
Title
Analysis of heart rate variability as a predictor of mortality in cardiovascular patients of intensive care unit
Abstract

ObjectiveDynamic changes of heart rate variability (HRV) reflect autonomic dysfunction in cardiac disease. Some studies suggest the role of HRV in predicting intensive care unit (ICU) mortality. The main object of this study was analyzing the HRV to design an algorithm to predict mortality risk.MethodsWe evaluated 80 cardiovascular ICU patients (45 males and 45 females), ranging from 45 to 70 years. Common time and frequency domain analysis, non-linear Poincaré plot and recurrence quantification analysis (RQA) were used to study the HRV in two episodes. The episodes include 8–4 h before death, and 4 h before death to death. Independent sample t-test was used as statistical analysis.ResultsStatistical analysis indicates that frequency domain and Poincaré parameters such as LF/HF and SD2/SD1 show changes in transition to death episode (p < 0.05). Moreover, Lmean, vmax and RT measures showed meaningful changes (p < 0.01) in closer segments to the death.ConclusionsAnalysis of physiological variables shows that there are significant differences in RQA measures in episodes close to death. These changes can be interpreted as more stability and determinism behavior of HRV in episodes close to death. RQA parameters can be used together with HRV parameters for description and prediction of mortality risk in ICU patients.

Keywords
HRV, heart rate variability; ICU, intensive care unit; RQA, recurrence quantification analysis; RP, recurrence plots; REC, recurrence rate; ENTR, entropy; TT, trapping time; RT, recurrence trendMortality; ICU; HRV; Linear analysis; Non-linear Poincaré ana
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Analysis of heart rate variability as a predictor of mortality in cardiovascular patients of intensive care unit
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biocybernetics and Biomedical Engineering - Volume 35, Issue 4, 2015, Pages 217–226
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us