Characteristics of heart rate variability entropy and blood pressure during hemodialysis in patients with end-stage renal disease

2005 ◽  
Vol 9 (3) ◽  
pp. 303-308 ◽  
Author(s):  
Nozomu Yamanaka ◽  
Togo Aoyama ◽  
Noriaki Ikeda ◽  
Masaaki Higashihara ◽  
Kouju Kamata
2020 ◽  
Vol 128 (1) ◽  
pp. 189-196 ◽  
Author(s):  
G. Hortensia González ◽  
Oscar Infante ◽  
Paola Martínez-García ◽  
Héctor Pérez-Grovas ◽  
Nadia Saavedra ◽  
...  

The assessment of spontaneous variability of blood pressure and heart rate is based on specific physiological hypotheses about dynamic features, for example, the baroreflex modulation of heart rate over time in daily life. Usually, arterial baroreflex control of heart rate is explored without delays between blood pressure and heart rate data points, within a narrow range of values, excluding the analysis of saturation regions or low-threshold changes. In this work, we examine the dynamic interactions between systolic blood pressure (SBP) and interbeat interval (IBI), in 15-min length time series and for the first time using the analysis of diagonals derived from a cross-recurrence plots in healthy persons and end-stage renal disease (ESRD) patients. We found that ESRD patients have stronger intermittent dynamical interactions between IBI and SBP, but they lose most of the dynamical interactions. Although healthy subjects exhibit a continuously changing order of precedence between IBI and SBP at different lags, ESRD patients preserve this changing order of precedence only for lags >0 beats. NEW & NOTEWORTHY This study is the first to compare the time-variant pattern of systolic blood pressure (SBP) and interbeat interval (IBI) coupling between ESRD patients and healthy volunteers through the analysis of diagonal in cross-recurrence plots, and in the face of an orthostatic challenge. Our results demonstrated alternant interactions on the order of precedence (IBI → SBP or SBP→ IBI) at different time delays. This pattern is different in resting position and during active standing for the two groups studied, and interestingly, some association patterns are lost in ESRD patients. These patterns of alternant interactions on the order of precedence could be related to autonomic neural activities and cardiovascular synchronization at different scales both in time and space. This could reflect physiological adaptive flexibility of cardiovascular regulation. Losing some association patterns in ESRD may be the result of chronic adjustments of many physiological mechanisms (including chronic sympathetic hyperactivity), which could increase cardiovascular vulnerability to hemodynamic challenges.


2000 ◽  
Vol 10 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Ann K. Cashion ◽  
Patricia A. Cowan ◽  
E. Jean Milstead ◽  
A. Osama Gaber ◽  
Donna K. Hathaway

Context Cardiac autonomic function has been associated with mortality in patients with end-stage renal disease. It is unknown whether end-stage renal disease patients who have succumbed to sudden cardiac death can be better identified by a newer test of heart rate variability that uses spectral analysis, rather than laboratory evoked measures. Objective This series of studies sought to characterize cardiac autonomic function in patients awaiting kidney transplantation, identify factors associated with heart rate variability, identify tests which distinguish patients at-risk for death, and compare evoked measures with 24-hour heart rate variability measures. Patients Data were collected on 184 nondiabetics, 60 type 1 diabetics, and 34 type 2 diabetics with end-stage renal disease, all of whom had been referred for kidney transplantation. Main Outcome Measures The 278 patients and 67 healthy control subjects underwent evoked tests (changes in heart rate with deep breathing and Valsalva maneuver) and 24-hour heart rate variability Holter monitoring (time and frequency domains). Five patients had sudden cardiac deaths during the study. Results Data showed that end-stage renal disease patients, particularly diabetics, had compromised autonomic function. The standard deviation of all R-to-R intervals for the electrocardiogram recording (<50 minutes in 60% of the deceased patients), a 24-hour heart rate variability time domain measure, holds the promise of identifying patients at increased risk for death. Exercise was identified as a factor associated with better autonomic function. Examining relationships between 24-hour heart rate variability and characteristics of patients who succumb to death could make quantification of the mortality risk for individual pretransplant end-stage renal disease patients possible, much as it has in other populations. The data from this study may also make it possible to design interventions, such as exercise, aimed at reducing mortality risk.


2013 ◽  
Vol 32 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Kyung Won Park ◽  
Sang Kyun Bae ◽  
Buhyun Lee ◽  
Jeong Hun Baek ◽  
Jin Woo Park ◽  
...  

2000 ◽  
Vol 10 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Ann Cashion ◽  
Patricia Cowan ◽  
E. Milstead ◽  
A. Gaber ◽  
Donna Hathaway

2020 ◽  
Author(s):  
Hongyun Liu ◽  
Ping Zhan ◽  
Jinlong Shi ◽  
Minlu Hu ◽  
Guojing Wang ◽  
...  

Abstract Objective Heart rhythm complexity, a measure of heart rate dynamics and a risk predictor in various clinical diseases, has not been systematically studied in patients with end-stage renal disease. The aim of this study is to investigate the heart rhythm complexity and its prognostic value for mortality in end-stage renal disease patients undergoing hemodialysis.Methods To assess heart rhythm complexity and conventional heart rate variability measures, 4-hour continuous electrocardiography for a retrospective cohort of 202 ostensibly healthy control subjects and 51 hemodialysis patients with end-stage renal disease were analyzed. Heart rhythm complexity was quantified by the complexity index from the measurement of the multiscale entropy profile.Results During a median follow-up of 13 months, 8 people died in the patient group. Values of either traditional heart rate variability measurements or complexity indices were found significantly lower in patients than those in healthy controls. In addition, the complexity indices (Area 1-5, Area 6-15 and Area 6-20) in the mortality group were significantly lower than those in the survival group, while there were no significant differences in traditional heart rate variability parameters between the two groups. In receiver operating characteristic curve analysis, Area 6-20 (AUC = 0.895, p<0.001) showed the strongest predictive power between mortality and survival groups.Conclusion The results suggest that heart rhythm complexity is impaired for patients with end-stage renal disease. Furthermore, the complexity index of heart rate variability quantified by multiscale entropy may be a powerful independent predictor of mortality in end-stage renal disease patients undergoing hemodialysis.


2016 ◽  
Vol 16 (C) ◽  
pp. 75
Author(s):  
Stefan Hagmair ◽  
Matthias Christoph Braunisch ◽  
Martin Bachler ◽  
Anna-Lena Hasenau ◽  
Axel Bauer ◽  
...  

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