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Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis

BACKGROUND AND OBJECTIVES: Patients with severe kidney function impairment often have autonomic dysfunction, which could be evaluated noninvasively by heart rate variability (HRV) analysis. Nonlinear HRV parameters such as detrended fluctuation analysis (DFA) has been demonstrated to be an important...

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Autores principales: Chiang, Jiun-Yang, Huang, Jenq-Wen, Lin, Lian-Yu, Chang, Chin-Hao, Chu, Fang-Ying, Lin, Yen-Hung, Wu, Cho-Kai, Lee, Jen-Kuang, Hwang, Juei-Jen, Lin, Jiunn-Lee, Chiang, Fu-Tien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734614/
https://www.ncbi.nlm.nih.gov/pubmed/26828209
http://dx.doi.org/10.1371/journal.pone.0147282
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author Chiang, Jiun-Yang
Huang, Jenq-Wen
Lin, Lian-Yu
Chang, Chin-Hao
Chu, Fang-Ying
Lin, Yen-Hung
Wu, Cho-Kai
Lee, Jen-Kuang
Hwang, Juei-Jen
Lin, Jiunn-Lee
Chiang, Fu-Tien
author_facet Chiang, Jiun-Yang
Huang, Jenq-Wen
Lin, Lian-Yu
Chang, Chin-Hao
Chu, Fang-Ying
Lin, Yen-Hung
Wu, Cho-Kai
Lee, Jen-Kuang
Hwang, Juei-Jen
Lin, Jiunn-Lee
Chiang, Fu-Tien
author_sort Chiang, Jiun-Yang
collection PubMed
description BACKGROUND AND OBJECTIVES: Patients with severe kidney function impairment often have autonomic dysfunction, which could be evaluated noninvasively by heart rate variability (HRV) analysis. Nonlinear HRV parameters such as detrended fluctuation analysis (DFA) has been demonstrated to be an important outcome predictor in patients with cardiovascular diseases. Whether cardiac autonomic dysfunction measured by DFA is also a useful prognostic factor in patients with end-stage renal disease (ESRD) receiving peritoneal dialysis (PD) remains unclear. The purpose of the present study was designed to test the hypothesis. MATERIALS AND METHODS: Patients with ESRD receiving PD were included for the study. Twenty-four hour Holter monitor was obtained from each patient together with other important traditional prognostic makers such as underlying diseases, left ventricular ejection fraction (LVEF) and serum biochemistry profiles. Short-term (DFAα1) and long-term (DFAα2) DFA as well as other linear HRV parameters were calculated. RESULTS: A total of 132 patients (62 men, 72 women) with a mean age of 53.7±12.5 years were recruited from July 2007 to March 2009. During a median follow-up period of around 34 months, eight cardiac and six non-cardiac deaths were observed. Competing risk analysis demonstrated that decreased DFAα1 was a strong prognostic predictor for increased cardiac and total mortality. ROC analysis showed that the AUC of DFAα1 (<0.95) to predict mortality was 0.761 (95% confidence interval (CI). = 0.617–0.905). DFAα1≧ 0.95 was associated with lower cardiac mortality (Hazard ratio (HR) 0.062, 95% CI = 0.007–0.571, P = 0.014) and total mortality (HR = 0.109, 95% CI = 0.033–0.362, P = 0.0003). CONCLUSION: Cardiac autonomic dysfunction evaluated by DFAα1 is an independent predictor for cardiac and total mortality in patients with ESRD receiving PD.
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spelling pubmed-47346142016-02-04 Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis Chiang, Jiun-Yang Huang, Jenq-Wen Lin, Lian-Yu Chang, Chin-Hao Chu, Fang-Ying Lin, Yen-Hung Wu, Cho-Kai Lee, Jen-Kuang Hwang, Juei-Jen Lin, Jiunn-Lee Chiang, Fu-Tien PLoS One Research Article BACKGROUND AND OBJECTIVES: Patients with severe kidney function impairment often have autonomic dysfunction, which could be evaluated noninvasively by heart rate variability (HRV) analysis. Nonlinear HRV parameters such as detrended fluctuation analysis (DFA) has been demonstrated to be an important outcome predictor in patients with cardiovascular diseases. Whether cardiac autonomic dysfunction measured by DFA is also a useful prognostic factor in patients with end-stage renal disease (ESRD) receiving peritoneal dialysis (PD) remains unclear. The purpose of the present study was designed to test the hypothesis. MATERIALS AND METHODS: Patients with ESRD receiving PD were included for the study. Twenty-four hour Holter monitor was obtained from each patient together with other important traditional prognostic makers such as underlying diseases, left ventricular ejection fraction (LVEF) and serum biochemistry profiles. Short-term (DFAα1) and long-term (DFAα2) DFA as well as other linear HRV parameters were calculated. RESULTS: A total of 132 patients (62 men, 72 women) with a mean age of 53.7±12.5 years were recruited from July 2007 to March 2009. During a median follow-up period of around 34 months, eight cardiac and six non-cardiac deaths were observed. Competing risk analysis demonstrated that decreased DFAα1 was a strong prognostic predictor for increased cardiac and total mortality. ROC analysis showed that the AUC of DFAα1 (<0.95) to predict mortality was 0.761 (95% confidence interval (CI). = 0.617–0.905). DFAα1≧ 0.95 was associated with lower cardiac mortality (Hazard ratio (HR) 0.062, 95% CI = 0.007–0.571, P = 0.014) and total mortality (HR = 0.109, 95% CI = 0.033–0.362, P = 0.0003). CONCLUSION: Cardiac autonomic dysfunction evaluated by DFAα1 is an independent predictor for cardiac and total mortality in patients with ESRD receiving PD. Public Library of Science 2016-02-01 /pmc/articles/PMC4734614/ /pubmed/26828209 http://dx.doi.org/10.1371/journal.pone.0147282 Text en © 2016 Chiang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chiang, Jiun-Yang
Huang, Jenq-Wen
Lin, Lian-Yu
Chang, Chin-Hao
Chu, Fang-Ying
Lin, Yen-Hung
Wu, Cho-Kai
Lee, Jen-Kuang
Hwang, Juei-Jen
Lin, Jiunn-Lee
Chiang, Fu-Tien
Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis
title Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis
title_full Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis
title_fullStr Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis
title_full_unstemmed Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis
title_short Detrended Fluctuation Analysis of Heart Rate Dynamics Is an Important Prognostic Factor in Patients with End-Stage Renal Disease Receiving Peritoneal Dialysis
title_sort detrended fluctuation analysis of heart rate dynamics is an important prognostic factor in patients with end-stage renal disease receiving peritoneal dialysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734614/
https://www.ncbi.nlm.nih.gov/pubmed/26828209
http://dx.doi.org/10.1371/journal.pone.0147282
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