title: Non-invasive wave reflection quantification in patients with reduced ejection fraction.
abstract: The non-invasive quantification of arterial wave reflection is an increasingly important concept in cardiovascular research. It is commonly based on pulse wave analysis (PWA) of aortic pressure. Alternatively, wave separation analysis (WSA) considering both aortic pressure and flow waveforms can be applied. Necessary estimates of aortic flow can be measured by Doppler ultrasound or provided by mathematical models. However, this approach has not been investigated intensively up to now in subjects developing systolic heart failure characterized by highly reduced ejection fraction (EF). We used non-invasively generated aortic pressure waveforms and Doppler flow measurements to derive wave reflection parameters in 61 patients with highly reduced and 122 patients with normal EF. Additionally we compared these readings with estimates from three different flow models known from literature (triangular, averaged, Windkessel). After correction for confounding factors, all parameters of wave reflection (PWA and WSA) were comparable for patients with reduced and normal EF. Wave separations assessed with the Windkessel based model were similar to those derived from Doppler flow in both groups. The averaged waveform performed poorer in reduced than in normal EF, whereas triangular flow represented a better approximation for reduced EF. Overall, the non-invasive assessment of WSA parameters based on mathematical models compared to ultrasound seems feasible in patients with reduced EF.
authors.affiliation: AIT Austrian Institute of Technology GmbH, Health & Environment Department, Biomedical Systems, Donau-City-Str. 1, 1220 Vienna, Austria. Vienna University of Technology, Institute for Analysis and Scientific Computing, Wiedner Hauptstr. 8-10, 1040 Vienna, Austria.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Parragh
authors.forename: Bernhard
authors.initials: B
authors.lastname: Hametner
authors.forename: Martin
authors.initials: M
authors.lastname: Bachler
authors.forename: Thomas
authors.initials: T
authors.lastname: Weber
authors.forename: Bernd
authors.initials: B
authors.lastname: Eber
authors.forename: Siegfried
authors.initials: S
authors.lastname: Wassertheurer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001783:Blood Flow Velocity / Q000502:physiology; D015150:Echocardiography, Doppler; D005260:Female; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008875:Middle Aged; D063177:Pulse Wave Analysis; D013318:Stroke Volume / Q000502:physiology*; D058067:Wavelet Analysis