ArticleScientific reports2016
Heart rhythm complexity impairment in patients undergoing peritoneal dialysis.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Prediction models for lymph node metastasis in cervical cancer based on preoperative heart rate variability.Frontiers in neuroscience · 2024Article
- Heart rhythm complexity analysis in patients with inferior ST-elevation myocardial infarction.Scientific reports · 2023Article
- Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU.NPJ digital medicine · 2023Article
- Heart rate variability at rest and in response to stress: Comparative study between hemodialysis and peritoneal dialysis patients.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Comparison of Heart Autonomic Control between Hemodynamically Stable and Unstable Patients during Hemodialysis Sessions: A Bayesian Approach.Entropy (Basel, Switzerland) · 2023Article
- CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals.Entropy (Basel, Switzerland) · 2021Article
- Preoperative Heart Rate Variability During Sleep Predicts Vagus Nerve Stimulation Outcome Better in Patients With Drug-Resistant Epilepsy.Frontiers in neurology · 2021Article
- Impairment of Cardiac Autonomic Nerve Function in Pre-school Children With Intractable Epilepsy.Frontiers in neurology · 2021Article
- Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings.Entropy (Basel, Switzerland) · 2020Article
- Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis.BMC nephrology · 2020Article
- Dialysis-Induced Cardiovascular and Multiorgan Morbidity.Kidney international reports · 2020Review
- Usefulness of heart rhythm complexity in heart failure detection and diagnosis.Scientific reports · 2020Article
- Heart Rhythm Complexity Predicts Long-Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study.Journal of the American Heart Association · 2020Article
- Performance Evaluation of an Entropy-Based Structural Health Monitoring System Utilizing Composite Multiscale Cross-Sample Entropy.Entropy (Basel, Switzerland) · 2019Article
- The association between heart rhythm complexity and the severity of abdominal aorta calcification in peritoneal dialysis patients.Scientific reports · 2018Article
- Preoperative Heart Rate Variability as Predictors of Vagus Nerve Stimulation Outcome in Patients with Drug-resistant Epilepsy.Scientific reports · 2018Article
- Serial heart rhythm complexity changes in patients with anterior wall ST segment elevation myocardial infarction.Scientific reports · 2017Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease is one of the leading causes of death in patients with advanced renal disease. The objective of this study was to investigate impairments in heart rhythm complexity in patients with end-stage renal disease. We prospectively analyzed 65 patients undergoing peritoneal dialysis (PD) without prior cardiovascular disease and 72 individuals with normal renal function as the control group. Heart rhythm analysis including complexity analysis by including detrended fractal analysis (DFA) and multiscale entropy (MSE) were performed. In linear analysis, the PD patients had a significantly lower standard deviation of normal RR intervals (SDRR) and percentage of absolute differences in normal RR intervals greater than 20 ms (pNN20). Of the nonlinear analysis indicators, scale 5, area under the MSE curve for scale 1 to 5 (area 1-5) and 6 to 20 (area 6-20) were significantly lower than those in the control group. In DFA anaylsis, both DFA α1 and DFA α2 were comparable in both groups. In receiver operating characteristic curve analysis, scale 5 had the greatest discriminatory power for two groups. In both net reclassification improvement model and integrated discrimination improvement models, MSE parameters significantly improved the discriminatory power of SDRR, pNN20, and pNN50. In conclusion, PD patients had worse cardiac complexity parameters. MSE parameters are useful to discriminate PD patients from patients with normal renal function.
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