Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study

Author:

Tsai Cheng‐Hsuan1,Huang Jenq‐Wen2,Lin Chen3,Ma Hsi‐Pin4,Lo Men‐Tzung3,Liu Li‐Yu Daisy5,Lin Lian‐Yu2,Lin Chih‐Ting6,Hung Chi‐Sheng2,Peng Chung‐Kang7,Lin Yen‐Hung2

Affiliation:

1. Department of Internal Medicine National Taiwan University Hospital JinShan Branch New Taipei Taiwan

2. Department of Internal Medicine National Taiwan University Hospital and National Taiwan University College of Medicine Taipei Taiwan

3. Department of Biomedical Sciences and Engineering National Central University Taoyuan City Taiwan

4. Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan

5. Biometry Division Department of Agronomy National Taiwan University Taipei Taiwan

6. Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan

7. Division of Interdisciplinary Medicine and Biotechnology Beth Israel Deaconess Medical Center/Harvard Medical School Boston MA

Abstract

Background Cardiovascular disease is the leading cause of morbidity and mortality in patients with end‐stage renal disease. Heart rhythm complexity analysis has been shown to be useful in predicting outcomes in various diseases; however, data on patients with end‐stage renal disease are limited. In this study, we analyzed the association between heart rhythm complexity and long‐term cardiovascular outcomes in patients with end‐stage renal disease receiving peritoneal dialysis. Methods and Results We prospectively enrolled 133 patients receiving peritoneal dialysis and analyzed linear heart rate variability and heart rhythm complexity variables including detrended fluctuation analysis ( DFA ) and multiscale entropy. The primary outcome was cardiovascular mortality, and the secondary outcome was the occurrence of major adverse cardiovascular events. After a median of 6.37 years of follow‐up, 21 patients (22%) died from cardiovascular causes. These patients had a significantly lower low‐frequency band of heart rate variability, low/high‐frequency band ratio, total power band of heart rate variability, heart rate turbulence slope, deceleration capacity, short‐term DFA (DFAα1); and multiscale entropy slopes 1 to 5, scale 5, area 1 to 5, and area 6 to 20 compared with the patients who did not die from cardiovascular causes. Time‐dependent receiver operating characteristic curve analysis showed that DFA α1 had the greatest discriminatory power for cardiovascular mortality (area under the curve: 0.763) and major adverse cardiovascular events (area under the curve: 0.730). The best cutoff value for DFA α1 was 0.98 to predict both cardiovascular mortality and major adverse cardiovascular events. Multivariate Cox regression analysis showed that DFA α1 (hazard ratio: 0.076; 95% CI , 0.016–0.366; P =0.001) and area 1 to 5 (hazard ratio: 0.645; 95% CI , 0.447–0.930; P =0.019) were significantly associated with cardiovascular mortality. Conclusions Heart rhythm complexity appears to be a promising noninvasive tool to predict long‐term cardiovascular outcomes in patients receiving peritoneal dialysis.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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