4.2 WINDKESSEL-MODEL DERIVED RESERVOIR AND EXCESS PRESSURES PREDICT CARDIOVASCULAR EVENTS IN HIGH-RISK PATIENTS

B. Hametner; S. Wassertheurer; J. Kropf; C. Mayer; B. Eber; T. Weber

doi:10.1016/j.artres.2012.09.026

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Volume 6, Issue 4, December 2012, Pages 147 - 147

4.2 WINDKESSEL-MODEL DERIVED RESERVOIR AND EXCESS PRESSURES PREDICT CARDIOVASCULAR EVENTS IN HIGH-RISK PATIENTS

Authors

B. Hametner¹^{, 2}, S. Wassertheurer¹^{, 2}, J. Kropf¹, C. Mayer¹, B. Eber³, T. Weber³

¹Health & Environment Department, AIT Austrian Institute of Technology GmbH, Vienna, Austria

²Department for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria

³Cardiology Department, Klinikum Wels-Grieskirchen, Wels, Austria

Available Online 17 November 2012.

DOI: 10.1016/j.artres.2012.09.026 How to use a DOI?
Open Access: This is an open access article distributed under the CC BY-NC license.

Background and aim: It has been shown that measures derived from arterial waveforms, mostly related to wave reflection (Augmentation Index, Amplitude of backward travelling wave Pb), independently predict cardiovascular events. The aim of this work is to investigate the predictive value of parameters related to the Windkessel model (reservoir pressure - PR and excess pressure - PE).

Methods: Recently we developed an algorithm to calculate PR and PE, based on a 2-element Windkessel model, which can be applied on central waveforms derived with a transfer function from radial tonometry.

Results: We investigated 674 patients (mean age 63, 381 men, 126 diabetics, 271 coronary artery disease). After a mean follow-up duration of 1382 days, 135 patients suffered from a cardiovascular event (death, myocardial infarction, stroke, coronary, cerebrovascular and peripheral revascularization).

In univariate analysis, the areas under the reservoir and excess pressure (AR, AE) as well as their amplitudes (PR, PE) were significant predictors of cardiovascular events – Table. In multivariate Cox regression models (including among others: age, gender, mean BP, heart rate, diabetes, hypertension, smoking and coronary artery disease), PR was an independent predictor with a hazard ratio of 1.369 per 1 standard deviation (p=0.016).

Conclusions: Parameters derived from Windkessel models (reservoir and excess pressure) are associated with cardiovascular events in a cohort of high-risk patients.

Parameter	HR (per SD) (univariate)	p-value	HR (per SD) (multivariate)	p-value
PR	1.335	0.0001	1.369	0.016
PE	1.199	0.036	1.072	0.49
AR	1.214	0.014	1.257	0.11
AE	1.204	0.025	1.139	0.22
Pb	1.359	<0.0001	1.422	0.006
PP brachialis	1.349	<0.0001	1.184	0.08

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Journal: Artery Research
Volume-Issue: 6 - 4
Pages: 147 - 147
Publication Date: 2012/11/17
ISSN (Online): 1876-4401
ISSN (Print): 1872-9312
DOI: 10.1016/j.artres.2012.09.026 How to use a DOI?
Open Access: This is an open access article distributed under the CC BY-NC license.

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ris enw bib

TY  - JOUR
AU  - B. Hametner
AU  - S. Wassertheurer
AU  - J. Kropf
AU  - C. Mayer
AU  - B. Eber
AU  - T. Weber
PY  - 2012
DA  - 2012/11/17
TI  - 4.2 WINDKESSEL-MODEL DERIVED RESERVOIR AND EXCESS PRESSURES PREDICT CARDIOVASCULAR EVENTS IN HIGH-RISK PATIENTS
JO  - Artery Research
SP  - 147
EP  - 147
VL  - 6
IS  - 4
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2012.09.026
DO  - 10.1016/j.artres.2012.09.026
ID  - Hametner2012
ER  -

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