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Talks and Poster Presentations (with Proceedings-Entry):

J. Matschkal, C. Mayer, S. Wassertheurer, G. Lorenz, S. Angermann, S. Kemmner, M. Braunisch, R. Günthner, B. Haller, M. Baumann, U. Heemann, C. Schmaderer:
"Oscillometric measurement of 24-hour pulse wave velocity predicts all- cause mortality in patients with end-stage renal disease: The ISAR-study";
Talk: Artery Conference 2017, Pisa; 2017-10-12 - 2017-10-14; in: "Artery Conference 2017", J. Cockroft, S. Laurent, C. Vlachopoulos (ed.); Artery 2017, 20/Elsevier (2017), ISSN: 1872-9312; 90 - 91.



English abstract:
Objectives: mortality rate in end-stage renal diseas (ESRD) are still at a high level. Sarafidis et al. showed the predictive value of 48h PWV in patients undergoing hemodialysis [1], although recent studies using office measurement showed controversial predictive results. Aim of the present study was to confirm the predictive value of a novel oscillometric measurement of pulse wave velocity on mortality in an elderly cohort of patients with ESRD.
Methods: The ISAR study is a prospective and longitudinal study targeting patients with ESRD undergoing hemodialysis. Oscillometric measurement of 24-hour PWV was performed at baseline. Survival analysis included Kaplan-Meier analysis, logrank test and Cox regression.
Results: A total of 350 patient had a median age of 69,3 [55.8; 77.3] years. mean PWV was 9,6 (2.2) m/s and 120 patients dies during the mean follow-up of 45 months. PWV was siginificantly higher in the deceased (10.6 +/- 2.2 m/s). Kaplan-Meier analysis showed diffeences in dichotomized PWV (cur-off 10 m/s [2]; Logrank test: p = 0.001). For results of univariate Cox regression, see Figure. Adjusted Cox regression analysis showed a significant risk prediction for all-couse mortality (HR 2.322; p=0.011). Patients oder than 50 years showed even higher predictive values (HR 2.442; p=0.008) as well as patients with PWV values of at least 10 m/s (HR 3.300; p = 0.006).


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.artres.2017.10.138


Created from the Publication Database of the Vienna University of Technology.