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

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...

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Autores principales: Tsai, Cheng‐Hsuan, Huang, Jenq‐Wen, Lin, Chen, Ma, Hsi‐Pin, Lo, Men‐Tzung, Liu, Li‐Yu Daisy, Lin, Lian‐Yu, Lin, Chih‐Ting, Hung, Chi‐Sheng, Peng, Chung‐Kang, Lin, Yen‐Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033842/
https://www.ncbi.nlm.nih.gov/pubmed/31910780
http://dx.doi.org/10.1161/JAHA.119.013036
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author Tsai, Cheng‐Hsuan
Huang, Jenq‐Wen
Lin, Chen
Ma, Hsi‐Pin
Lo, Men‐Tzung
Liu, Li‐Yu Daisy
Lin, Lian‐Yu
Lin, Chih‐Ting
Hung, Chi‐Sheng
Peng, Chung‐Kang
Lin, Yen‐Hung
author_facet Tsai, Cheng‐Hsuan
Huang, Jenq‐Wen
Lin, Chen
Ma, Hsi‐Pin
Lo, Men‐Tzung
Liu, Li‐Yu Daisy
Lin, Lian‐Yu
Lin, Chih‐Ting
Hung, Chi‐Sheng
Peng, Chung‐Kang
Lin, Yen‐Hung
author_sort Tsai, Cheng‐Hsuan
collection PubMed
description 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 DFAα1 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 DFAα1 was 0.98 to predict both cardiovascular mortality and major adverse cardiovascular events. Multivariate Cox regression analysis showed that DFAα1 (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.
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spelling pubmed-70338422020-02-27 Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study Tsai, Cheng‐Hsuan Huang, Jenq‐Wen Lin, Chen Ma, Hsi‐Pin Lo, Men‐Tzung Liu, Li‐Yu Daisy Lin, Lian‐Yu Lin, Chih‐Ting Hung, Chi‐Sheng Peng, Chung‐Kang Lin, Yen‐Hung J Am Heart Assoc Original Research 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 DFAα1 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 DFAα1 was 0.98 to predict both cardiovascular mortality and major adverse cardiovascular events. Multivariate Cox regression analysis showed that DFAα1 (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. John Wiley and Sons Inc. 2020-01-08 /pmc/articles/PMC7033842/ /pubmed/31910780 http://dx.doi.org/10.1161/JAHA.119.013036 Text en © 2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Tsai, Cheng‐Hsuan
Huang, Jenq‐Wen
Lin, Chen
Ma, Hsi‐Pin
Lo, Men‐Tzung
Liu, Li‐Yu Daisy
Lin, Lian‐Yu
Lin, Chih‐Ting
Hung, Chi‐Sheng
Peng, Chung‐Kang
Lin, Yen‐Hung
Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study
title Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study
title_full Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study
title_fullStr Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study
title_full_unstemmed Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study
title_short Heart Rhythm Complexity Predicts Long‐Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study
title_sort heart rhythm complexity predicts long‐term cardiovascular outcomes in peritoneal dialysis patients: a prospective cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033842/
https://www.ncbi.nlm.nih.gov/pubmed/31910780
http://dx.doi.org/10.1161/JAHA.119.013036
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