Cognitive impairment in hemodialysis patients is common and associated with adverse outcomes. So far, the underlying pathogenesis remains unclear. Therefore, we examined the potential relationship between cognitive impairment and three different categories of risk factors with particular focus on arterial stiffness measured by pulse wave velocity (PWV). A total of 201 chronic hemodialysis patients underwent cognitive testing under standardized conditions using the Montreal Cognitive Assessment (MoCA). Demographic data including cardiovascular risk factors, dialysis-associated factors as well as factors related to chronic kidney disease (CKD) were analyzed. To account for arterial stiffness, PWV was measured by ambulatory blood pressure monitoried with an oscillometric device that records brachial blood pressure along with pulse waves. In our cohort, 60.2% of patients showed pathological MoCA test results indicating cognitive impairment. PWV was significantly associated with cognitive impairment apart from age, educational level, diabetes, and hypercholesterolemia. High prevalence of cognitive impairment in hemodialysis patients was confirmed. For the first time, an association between cognitive impairment and arterial stiffness was detected in a larger cohort of hemodialysis patients. Concerning the underlying pathogenesis of cognitive impairment, current results revealed a potential involvement of arterial stiffness, which has to be further evaluated in future studies.
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A 3D optical coherence tomography image of the retina. In this issue, Long et al, investigated a unique sample of human infants with bilateral cataract and deciphered the role of the retina in visual system development and plasticity. For further details, please see article by Lin et al, in this issue. Image kindly provided by Haotian Lin.Close Modal
Research Article|
June 28 2017
Pulse wave velocity is associated with cognitive impairment in hemodialysis patients
Susanne Angermann;
Susanne Angermann
*
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
Correspondence: Susanne Angermann (susanne.angermann@mri.tum.de)
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Marcus Baumann;
Marcus Baumann
*
2Department of Nephrology, Klinikum Ansbach, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen-Nuremberg, Germany
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Siegfried Wassertheurer;
Siegfried Wassertheurer
3Center for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology, Vienna, Austria
4Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria
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Christopher Clemens Mayer;
Christopher Clemens Mayer
3Center for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology, Vienna, Austria
4Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria
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Dominik Steubl;
Dominik Steubl
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Christine Hauser;
Christine Hauser
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Yana Suttmann;
Yana Suttmann
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Anna-Lena Reichelt;
Anna-Lena Reichelt
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Robin Satanovskij;
Robin Satanovskij
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Georg Lorenz;
Georg Lorenz
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Moritz Lukas;
Moritz Lukas
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Bernhard Haller;
Bernhard Haller
5Institute for Medical Statistics and Epidemiology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
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Uwe Heemann;
Uwe Heemann
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Timo Grimmer;
Timo Grimmer
*
6Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
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Christoph Schmaderer
Christoph Schmaderer
*
1Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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Clin Sci (Lond) (2017) 131 (13): 1483–1493.
Article history
Received:
January 29 2017
Revision Received:
April 27 2017
Accepted:
May 10 2017
Accepted Manuscript online:
May 11 2017
Connected Content
A commentary has been published:
Pulse-wave velocity is associated with cognitive impairment in haemodialysis patients
Citation
Susanne Angermann, Marcus Baumann, Siegfried Wassertheurer, Christopher Clemens Mayer, Dominik Steubl, Christine Hauser, Yana Suttmann, Anna-Lena Reichelt, Robin Satanovskij, Georg Lorenz, Moritz Lukas, Bernhard Haller, Uwe Heemann, Timo Grimmer, Christoph Schmaderer; Pulse wave velocity is associated with cognitive impairment in hemodialysis patients. Clin Sci (Lond) 1 July 2017; 131 (13): 1483–1493. doi: https://doi.org/10.1042/CS20170087
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