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Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients
BACKGROUND: Excess mortality in hemodialysis patients is mostly of cardiovascular origin. We examined the association of heart rate turbulence (HRT), a marker of baroreflex sensitivity, with cardiovascular mortality in hemodialysis patients. METHODS: A population of 290 prevalent hemodialysis patien...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027389/ https://www.ncbi.nlm.nih.gov/pubmed/32116784 http://dx.doi.org/10.3389/fphys.2020.00077 |
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author | Braunisch, Matthias C. Mayer, Christopher C. Bauer, Axel Lorenz, Georg Haller, Bernhard Rizas, Konstantinos D. Hagmair, Stefan von Stülpnagel, Lukas Hamm, Wolfgang Günthner, Roman Angermann, Susanne Matschkal, Julia Kemmner, Stephan Hasenau, Anna-Lena Zöllinger, Isabel Steubl, Dominik Mann, Johannes F. Lehnert, Thomas Scherf, Julia Braun, Jürgen R. Moog, Philipp Küchle, Claudius Renders, Lutz Malik, Marek Schmidt, Georg Wassertheurer, Siegfried Heemann, Uwe Schmaderer, Christoph |
author_facet | Braunisch, Matthias C. Mayer, Christopher C. Bauer, Axel Lorenz, Georg Haller, Bernhard Rizas, Konstantinos D. Hagmair, Stefan von Stülpnagel, Lukas Hamm, Wolfgang Günthner, Roman Angermann, Susanne Matschkal, Julia Kemmner, Stephan Hasenau, Anna-Lena Zöllinger, Isabel Steubl, Dominik Mann, Johannes F. Lehnert, Thomas Scherf, Julia Braun, Jürgen R. Moog, Philipp Küchle, Claudius Renders, Lutz Malik, Marek Schmidt, Georg Wassertheurer, Siegfried Heemann, Uwe Schmaderer, Christoph |
author_sort | Braunisch, Matthias C. |
collection | PubMed |
description | BACKGROUND: Excess mortality in hemodialysis patients is mostly of cardiovascular origin. We examined the association of heart rate turbulence (HRT), a marker of baroreflex sensitivity, with cardiovascular mortality in hemodialysis patients. METHODS: A population of 290 prevalent hemodialysis patients was followed up for a median of 3 years. HRT categories 0 (both turbulence onset [TO] and slope [TS] normal), 1 (TO or TS abnormal), and 2 (both TO and TS abnormal) were obtained from 24 h Holter recordings. The primary end-point was cardiovascular mortality. Associations of HRT categories with the endpoints were analyzed by multivariable Cox regression models including HRT, age, albumin, and the improved Charlson Comorbidity Index for hemodialysis patients. Multivariable linear regression analysis identified factors associated with TO and TS. RESULTS: During the follow-up period, 20 patients died from cardiovascular causes. In patients with HRT categories 0, 1 and 2, cardiovascular mortality was 1, 10, and 22%, respectively. HRT category 2 showed the strongest independent association with cardiovascular mortality with a hazard ratio of 19.3 (95% confidence interval: 3.69–92.03; P < 0.001). Age, calcium phosphate product, and smoking status were associated with TO and TS. Diabetes mellitus and diastolic blood pressure were only associated with TS. CONCLUSION: Independent of known risk factors, HRT assessment allows identification of hemodialysis patients with low, intermediate, and high risk of cardiovascular mortality. Future prospective studies are needed to translate risk prediction into risk reduction in hemodialysis patients. |
format | Online Article Text |
id | pubmed-7027389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70273892020-02-28 Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients Braunisch, Matthias C. Mayer, Christopher C. Bauer, Axel Lorenz, Georg Haller, Bernhard Rizas, Konstantinos D. Hagmair, Stefan von Stülpnagel, Lukas Hamm, Wolfgang Günthner, Roman Angermann, Susanne Matschkal, Julia Kemmner, Stephan Hasenau, Anna-Lena Zöllinger, Isabel Steubl, Dominik Mann, Johannes F. Lehnert, Thomas Scherf, Julia Braun, Jürgen R. Moog, Philipp Küchle, Claudius Renders, Lutz Malik, Marek Schmidt, Georg Wassertheurer, Siegfried Heemann, Uwe Schmaderer, Christoph Front Physiol Physiology BACKGROUND: Excess mortality in hemodialysis patients is mostly of cardiovascular origin. We examined the association of heart rate turbulence (HRT), a marker of baroreflex sensitivity, with cardiovascular mortality in hemodialysis patients. METHODS: A population of 290 prevalent hemodialysis patients was followed up for a median of 3 years. HRT categories 0 (both turbulence onset [TO] and slope [TS] normal), 1 (TO or TS abnormal), and 2 (both TO and TS abnormal) were obtained from 24 h Holter recordings. The primary end-point was cardiovascular mortality. Associations of HRT categories with the endpoints were analyzed by multivariable Cox regression models including HRT, age, albumin, and the improved Charlson Comorbidity Index for hemodialysis patients. Multivariable linear regression analysis identified factors associated with TO and TS. RESULTS: During the follow-up period, 20 patients died from cardiovascular causes. In patients with HRT categories 0, 1 and 2, cardiovascular mortality was 1, 10, and 22%, respectively. HRT category 2 showed the strongest independent association with cardiovascular mortality with a hazard ratio of 19.3 (95% confidence interval: 3.69–92.03; P < 0.001). Age, calcium phosphate product, and smoking status were associated with TO and TS. Diabetes mellitus and diastolic blood pressure were only associated with TS. CONCLUSION: Independent of known risk factors, HRT assessment allows identification of hemodialysis patients with low, intermediate, and high risk of cardiovascular mortality. Future prospective studies are needed to translate risk prediction into risk reduction in hemodialysis patients. Frontiers Media S.A. 2020-02-11 /pmc/articles/PMC7027389/ /pubmed/32116784 http://dx.doi.org/10.3389/fphys.2020.00077 Text en Copyright © 2020 Braunisch, Mayer, Bauer, Lorenz, Haller, Rizas, Hagmair, von Stülpnagel, Hamm, Günthner, Angermann, Matschkal, Kemmner, Hasenau, Zöllinger, Steubl, Mann, Lehnert, Scherf, Braun, Moog, Küchle, Renders, Malik, Schmidt, Wassertheurer, Heemann and Schmaderer. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Braunisch, Matthias C. Mayer, Christopher C. Bauer, Axel Lorenz, Georg Haller, Bernhard Rizas, Konstantinos D. Hagmair, Stefan von Stülpnagel, Lukas Hamm, Wolfgang Günthner, Roman Angermann, Susanne Matschkal, Julia Kemmner, Stephan Hasenau, Anna-Lena Zöllinger, Isabel Steubl, Dominik Mann, Johannes F. Lehnert, Thomas Scherf, Julia Braun, Jürgen R. Moog, Philipp Küchle, Claudius Renders, Lutz Malik, Marek Schmidt, Georg Wassertheurer, Siegfried Heemann, Uwe Schmaderer, Christoph Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients |
title | Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients |
title_full | Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients |
title_fullStr | Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients |
title_full_unstemmed | Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients |
title_short | Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients |
title_sort | cardiovascular mortality can be predicted by heart rate turbulence in hemodialysis patients |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027389/ https://www.ncbi.nlm.nih.gov/pubmed/32116784 http://dx.doi.org/10.3389/fphys.2020.00077 |
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