title: Wave reflection quantification based on pressure waveforms alone--methods, comparison, and clinical covariates.
abstract: Within the last decade the quantification of pulse wave reflections mainly focused on measures of central aortic systolic pressure and its augmentation through reflections based on pulse wave analysis (PWA). A complementary approach is the wave separation analysis (WSA), which quantifies the total amount of arterial wave reflection considering both aortic pulse and flow waves. The aim of this work is the introduction and comparison of aortic blood flow models for WSA assessment. To evaluate the performance of the proposed modeling approaches (Windkessel, triangular and averaged flow), comparisons against Doppler measurements are made for 148 patients with preserved ejection fraction. Stepwise regression analysis between WSA and PWA parameters are performed to provide determinants of methodological differences. Against Doppler measurement mean difference and standard deviation of the amplitudes of the decomposed forward and backward pressure waves are comparable for Windkessel and averaged flow models. Stepwise regression analysis shows similar determinants between Doppler and Windkessel model only. The results indicate that the Windkessel method provides accurate estimates of wave reflection in subjects with preserved ejection fraction. The comparison with waveforms derived from Doppler ultrasound as well as recently proposed simple triangular and averaged flow waves showed that this approach may reduce variability and provide realistic results.
authors.affiliation: Health & Environment Department, AIT Austrian Institute of Technology, Vienna, Austria.
authors.forename: Bernhard
authors.initials: B
authors.lastname: Hametner
authors.forename: Siegfried
authors.initials: S
authors.lastname: Wassertheurer
authors.forename: Johannes
authors.initials: J
authors.lastname: Kropf
authors.forename: Christopher
authors.initials: C
authors.lastname: Mayer
authors.forename: Andreas
authors.initials: A
authors.lastname: Holzinger
authors.forename: Bernd
authors.initials: B
authors.lastname: Eber
authors.forename: Thomas
authors.initials: T
authors.lastname: Weber
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D062186:Arterial Pressure / Q000502:physiology*; D001783:Blood Flow Velocity / Q000502:physiology*; D002309:Cardiology / Q000295:instrumentation; D003198:Computer Simulation; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000473:pathology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D012044:Regression Analysis; D015203:Reproducibility of Results; D012306:Risk; D013997:Time Factors; D018608:Ultrasonography, Doppler / Q000379:methods; D055815:Young Adult