Why the study?
Accurate quantification of pressure wave reflections requires aortic flow wave measurement, but direct flow measurement involves extra equipment and a well-trained operator.
Does a personalized aortic flow waveform estimation method improve the accuracy of wave reflection quantification compared to traditional triangular and lognormal methods?
Does a personalized aortic flow waveform estimation method improve the accuracy of wave reflection quantification compared to traditional triangular and lognormal methods?
A novel personalized flow waveform estimation method based on central aortic pressure waveforms accurately quantifies wave reflections, offering a convenient alternative to direct flow measurement.
Supports non-invasive wave reflection quantification; leaves open clinical adoption without prospective validation.
Pulse wave reflections reflect cardiac afterload and perfusion, which yield valid indicators for monitoring cardiovascular status. Accurate quantification of pressure wave reflections requires the measurement of aortic flow wave. However, direct flow measurement involves extra equipment and well-trained operator. In this study, the personalized aortic flow waveform was estimated from the individual central aortic pressure waveform (CAPW) based on pressure-flow relations. The separated forward and backward pressure waves were used to calculate wave reflection indices such as reflection index (RI) and reflection magnitude (RM), as well as the central aortic pulse transit time (PTT). The effectiveness and feasibility of the method were validated by a set of clinical data (13 participants) and the Nektar1D Pulse Wave Database (4,374 subjects). The performance of the proposed personalized flow waveform method was compared with the traditional triangular flow waveform method and the recently proposed lognormal flow waveform method by statistical analyses. Results show that the root mean square error calculated by the personalized flow waveform approach is smaller than that of the typical triangular and lognormal flow methods, and the correlation coefficient with the measured flow waveform is higher. The estimated personalized flow waveform based on the characteristics of the CAPW can estimate wave reflection indices more accurately than the other two methods. The proposed personalized flow waveform method can be potentially used as a convenient alternative for the measurement of aortic flow waveform.
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Sun et al. (2023) studied this question.
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