Literature DB >> 21395968

Cardiac autonomic dysfunction in hemodialysis patients: The value of heart rate turbulence.

Atac Celik1, Mehmet Melek, Seref Yuksel, Ersel Onrat, Alaettin Avsar.   

Abstract

Patients with end-stage renal disease (ESRD) are likely to have cardiac autonomic dysfunction, which is related with an increased risk of sudden death. The aim of this study is to detect cardiac autonomic dysfunction in patients with ESRD and to evaluate the possible acute effects of hemodialysis (HD) on cardiac autonomic functions measured by heart rate variability (HRV) and heart rate turbulence (HRT). Thirty-one (mean age 50 ± 13 years, 15 males) with ESRD on regular HD program and 31 healthy volunteers (mean age 51 ± 12 years, 15 males) were included in the study. Twenty-four-hour ambulatory electrocardiogram recordings were taken from the subjects before and after HD and from the control group. Heart rate variability and HRT parameters were calculated from these recordings. All of the HRV and HRT parameters were found to be significantly blunted in patients in comparison with healthy individuals. There were significant differences in HRV after HD, but similar differences were not observed in HRT parameters. Cardiac autonomic functions were significantly altered in patients with ESRD. Heart rate turbulence parameters seemed to be less affected from HD and may be more useful in the evaluation of cardiac autonomic functions in the ESRD population.
© 2011 The Authors. Hemodialysis International © 2011 International Society for Hemodialysis.

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Year:  2011        PMID: 21395968     DOI: 10.1111/j.1542-4758.2011.00529.x

Source DB:  PubMed          Journal:  Hemodial Int        ISSN: 1492-7535            Impact factor:   1.812


  7 in total

1.  Nonlinear measures of heart rate variability and mortality risk in hemodialysis patients.

Authors:  Mari Suzuki; Takahashi Hiroshi; Toru Aoyama; Miho Tanaka; Hideki Ishii; Masaya Kisohara; Narushi Iizuka; Toyoaki Murohara; Junichiro Hayano
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-21       Impact factor: 8.237

2.  Non-Linear Heart Rate Variability Indices in the Frequent Hemodialysis Network Trials of Chronic Hemodialysis Patients.

Authors:  Manuela Ferrario; Jochen G Raimann; Brett Larive; Andreas Pierratos; Stephan Thijssen; Sanjay Rajagopalan; Tom Greene; Sergio Cerutti; Gerald Beck; Christopher Chan; Peter Kotanko
Journal:  Blood Purif       Date:  2015-07-04       Impact factor: 2.614

3.  Prognostic indicators of cardiovascular risk in renal disease.

Authors:  Cara M Hildreth
Journal:  Front Physiol       Date:  2012-01-12       Impact factor: 4.566

4.  Assessment of heart rate turbulence in hypertensive patients: rationale, perspectives, and insight into autonomic nervous system dysfunction.

Authors:  Antoine Kossaify; Annie Garcia; Fouad Ziade
Journal:  Heart Views       Date:  2014-07

5.  Cardiovascular Autonomic Neuropathy and its Association with Cardiovascular and All-cause Mortality in Patients with End-stage Renal Disease.

Authors:  Syed Rizwan A Bokhari; Faisal Inayat; Ali Jawa; Hafeez Ul Hasan Virk; Muhammad Awais; Nadeem Hussain; Ghias Ul Hassan; Hafiz Ijaz Ahmad; Hammad S Chaudhry; Abdullah Adil; Ali Haider; Vincent M Figueredo; Janani Rangaswami; Muhammad Zaman Khan Assir
Journal:  Cureus       Date:  2018-08-31

6.  Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis.

Authors:  Hongyun Liu; Ping Zhan; Jinlong Shi; Minlu Hu; Guojing Wang; Weidong Wang
Journal:  BMC Nephrol       Date:  2020-12-09       Impact factor: 2.388

7.  Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients.

Authors:  Matthias C Braunisch; Christopher C Mayer; Axel Bauer; Georg Lorenz; Bernhard Haller; Konstantinos D Rizas; Stefan Hagmair; Lukas von Stülpnagel; Wolfgang Hamm; Roman Günthner; Susanne Angermann; Julia Matschkal; Stephan Kemmner; Anna-Lena Hasenau; Isabel Zöllinger; Dominik Steubl; Johannes F Mann; Thomas Lehnert; Julia Scherf; Jürgen R Braun; Philipp Moog; Claudius Küchle; Lutz Renders; Marek Malik; Georg Schmidt; Siegfried Wassertheurer; Uwe Heemann; Christoph Schmaderer
Journal:  Front Physiol       Date:  2020-02-11       Impact factor: 4.566

  7 in total

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