Record link: 
http://hdl.handle.net/20.500.12708/141147
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Title: 
Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients
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Citation: 
Braunisch, M. C., Mayer, C., Bauer, A., Lorenz, G., Haller, B., Rizas, K., Hagmair, S., von Stülpnagel, L., Hamm, W., Günthner, R., Angermann, S., Matschkal, J., Kemmner, S., Hasenau, A.-L., Zöllinger, I., Steubl, D., Mann, J. F., Lehnert, T., Scherf, J., … Schmaderer, C. (2020). Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients. Frontiers in Physiology, 11. https://doi.org/10.3389/fphys.2020.00077
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Publisher DOI: 
10.3389/fphys.2020.00077
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Publication Type: 
Artikel - Original Research Article
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Article - Original Research Article
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Language: 
English
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Authors: 
Braunisch, Matthias Christoph 
Mayer, Christopher 
Bauer, Axel 
Lorenz, Georg 
Haller, Bernhard 
Rizas, Konstantinos 
Hagmair, Stefan 
von Stülpnagel, Lukas 
Hamm, Wolfgang 
Günthner, Roman 
Angermann, Susanne 
Matschkal, Julia 
Kemmner, Stephan 
Hasenau, Anna-Lena 
Zöllinger, Isabel 
Steubl, Dominik 
Mann, J. F. 
Lehnert, Thomas 
Scherf, Julia 
Braun, Jürgen 
Moog, Philipp 
Küchle, C. 
Renders, L. 
Malik, Marek 
Schmidt, Georg 
Wassertheurer, Siegfried 
Heemann, Uwe 
Schmaderer, Christoph 
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Organisational Unit: 
E101-03 - Forschungsbereich Scientific Computing and Modelling 
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Journal: 
Frontiers in Physiology 
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ISSN: 
1664-042X
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Date (published): 
2020
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Number of Pages: 
11
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Peer reviewed: 
Yes
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Keywords: 
Physiology; Physiology (medical); heart rate turbulence; cardiovascular mortality; baroreflex; mortality risk prediction; hemodialysis
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Abstract: 
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.
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 10%
Modelling and Simulation: 90%
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Science Branch: 
Mathematik
Sonstige Medizinisch-theoretische Wissenschaften
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