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Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients

BACKGROUND: Major adverse cardiac and cerebrovascular event (MACCE) is one of most common complications of hemodialysis patients. Heart rate variability (HRV) is the predictor of death in heart disease patients. However, there are no studies on the role of HRV in hemodialysis patients. METHODS: From...

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Autores principales: Kida, Nanami, Tsubakihara, Yoshiharu, Kida, Hirota, Ageta, Shunro, Arai, Makoto, Hamada, Yoshinosuke, Matsuura, Nariaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216586/
https://www.ncbi.nlm.nih.gov/pubmed/28056878
http://dx.doi.org/10.1186/s12882-016-0423-3
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author Kida, Nanami
Tsubakihara, Yoshiharu
Kida, Hirota
Ageta, Shunro
Arai, Makoto
Hamada, Yoshinosuke
Matsuura, Nariaki
author_facet Kida, Nanami
Tsubakihara, Yoshiharu
Kida, Hirota
Ageta, Shunro
Arai, Makoto
Hamada, Yoshinosuke
Matsuura, Nariaki
author_sort Kida, Nanami
collection PubMed
description BACKGROUND: Major adverse cardiac and cerebrovascular event (MACCE) is one of most common complications of hemodialysis patients. Heart rate variability (HRV) is the predictor of death in heart disease patients. However, there are no studies on the role of HRV in hemodialysis patients. METHODS: From September 2009 to March 2011, 24-h electrocardiography was performed in 101 hemodialysis patients. Standard deviation of sequential 5-minute N-N interval means (SDANN) and standard deviation of the N-N interval (SDNN) was examined by a 24-h ECG analysis. Patients were observed prospectively. The primary endpoints were incidence of MACCE and MACCE-free survival. RESULTS: We studied 90 hemodialysis patients (64 males, 63.4 ± 11.8 years old). During a follow-up period of 32.0 ± 11.7 months, 33 patients developed MACCE. 24-h ECG showed mean SDNN 93.4 ± 33.4 ms and mean SDANN 83.2 ± 31.3 ms. MACCE group showed significantly lower SDNN and SDANN than event-free group. In Kaplan-Meier analysis higher SDNN and SDANN group showed significantly higher event-free survival rate than lower group. Using a Cox proportional hazards model, SDNN was independent prognostic factor while SDANN or diabetic status was not significant. In diabetic cases, there were no differences in any factors for the incidence of MACCE between higher SDNN, SDANN groups and lower groups. On the other hand in non-diabetic cases, lower SDNN or SDANN group developed significantly higher MACCE than higher groups. CONCLUSION: Measurement of HRV by Holter ECG is useful to predict MACCE in hemodialysis patients, especially non-diabetic group.
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spelling pubmed-52165862017-01-09 Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients Kida, Nanami Tsubakihara, Yoshiharu Kida, Hirota Ageta, Shunro Arai, Makoto Hamada, Yoshinosuke Matsuura, Nariaki BMC Nephrol Research Article BACKGROUND: Major adverse cardiac and cerebrovascular event (MACCE) is one of most common complications of hemodialysis patients. Heart rate variability (HRV) is the predictor of death in heart disease patients. However, there are no studies on the role of HRV in hemodialysis patients. METHODS: From September 2009 to March 2011, 24-h electrocardiography was performed in 101 hemodialysis patients. Standard deviation of sequential 5-minute N-N interval means (SDANN) and standard deviation of the N-N interval (SDNN) was examined by a 24-h ECG analysis. Patients were observed prospectively. The primary endpoints were incidence of MACCE and MACCE-free survival. RESULTS: We studied 90 hemodialysis patients (64 males, 63.4 ± 11.8 years old). During a follow-up period of 32.0 ± 11.7 months, 33 patients developed MACCE. 24-h ECG showed mean SDNN 93.4 ± 33.4 ms and mean SDANN 83.2 ± 31.3 ms. MACCE group showed significantly lower SDNN and SDANN than event-free group. In Kaplan-Meier analysis higher SDNN and SDANN group showed significantly higher event-free survival rate than lower group. Using a Cox proportional hazards model, SDNN was independent prognostic factor while SDANN or diabetic status was not significant. In diabetic cases, there were no differences in any factors for the incidence of MACCE between higher SDNN, SDANN groups and lower groups. On the other hand in non-diabetic cases, lower SDNN or SDANN group developed significantly higher MACCE than higher groups. CONCLUSION: Measurement of HRV by Holter ECG is useful to predict MACCE in hemodialysis patients, especially non-diabetic group. BioMed Central 2017-01-05 /pmc/articles/PMC5216586/ /pubmed/28056878 http://dx.doi.org/10.1186/s12882-016-0423-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kida, Nanami
Tsubakihara, Yoshiharu
Kida, Hirota
Ageta, Shunro
Arai, Makoto
Hamada, Yoshinosuke
Matsuura, Nariaki
Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
title Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
title_full Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
title_fullStr Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
title_full_unstemmed Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
title_short Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
title_sort usefulness of measurement of heart rate variability by holter ecg in hemodialysis patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216586/
https://www.ncbi.nlm.nih.gov/pubmed/28056878
http://dx.doi.org/10.1186/s12882-016-0423-3
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