Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis

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...

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Published in:BMC nephrology 2020-12, Vol.21 (1), p.536-536, Article 536
Main Authors: Liu, Hongyun, Zhan, Ping, Shi, Jinlong, Hu, Minlu, Wang, Guojing, Wang, Weidong
Format: Article
Language:English
Subjects:
Autonomic nervous system
Cardiovascular disease
Care and treatment
Chronic illnesses
Chronic kidney failure
Clinical outcomes
Complexity
Coronary artery disease
Decomposition
EKG
Electrocardiography
End-stage renal disease
Entropy
Health aspects
Heart beat
Heart diseases
Heart rate
Heart rate variability
Hemodialysis
Kidney diseases
Measurement
Mortality
Multiscale entropy
Nephrology
Patient outcomes
Patients
Physiology
Prognosis
Sinuses
Survival
Time series
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description 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. To assess heart rhythm complexity and conventional heart rate variability measures, 4-h 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. During a 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 
doi_str_mv 10.1186/s12882-020-02196-8
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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 &lt; 0.001) showed the strongest predictive power between mortality and survival groups. The results suggest that heart rhythm complexity is impaired for patients with end-stage renal disease. 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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 &lt; 0.001) showed the strongest predictive power between mortality and survival groups. 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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>33297978</pmid><doi>10.1186/s12882-020-02196-8</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects Autonomic nervous system
Cardiovascular disease
Care and treatment
Chronic illnesses
Chronic kidney failure
Clinical outcomes
Complexity
Coronary artery disease
Decomposition
EKG
Electrocardiography
End-stage renal disease
Entropy
Health aspects
Heart beat
Heart diseases
Heart rate
Heart rate variability
Hemodialysis
Kidney diseases
Measurement
Mortality
Multiscale entropy
Nephrology
Patient outcomes
Patients
Physiology
Prognosis
Sinuses
Survival
Time series
title Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis
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