Sun Hongming, Yao Yang, Liu Wenyan, Zhou Shuran, Du Shuo, Tan Junyi, Yu Yin, Xu Lisheng, Avolio Alberto
College of Medicine and Biological and Information Engineering, Northeastern University, Shenyang, China.
School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Front Physiol. 2023 Feb 23;14:1097879. doi: 10.3389/fphys.2023.1097879. eCollection 2023.
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.
脉搏波反射反映心脏后负荷和灌注情况,可提供监测心血管状态的有效指标。准确量化压力波反射需要测量主动脉血流波形。然而,直接测量血流需要额外的设备和训练有素的操作人员。在本研究中,基于压力-流量关系,从个体中心主动脉压力波形(CAPW)估计个性化主动脉血流波形。分离出的正向和反向压力波用于计算诸如反射指数(RI)和反射幅度(RM)等波反射指数,以及中心主动脉脉搏波传播时间(PTT)。通过一组临床数据(13名参与者)和Nektar1D脉搏波数据库(4374名受试者)验证了该方法的有效性和可行性。通过统计分析,将所提出的个性化血流波形方法的性能与传统的三角形血流波形方法和最近提出的对数正态血流波形方法进行了比较。结果表明,个性化血流波形方法计算的均方根误差小于典型的三角形和对数正态血流方法,且与测量的血流波形的相关系数更高。基于CAPW特征估计的个性化血流波形比其他两种方法能更准确地估计波反射指数。所提出的个性化血流波形方法有可能作为一种方便的替代方法用于测量主动脉血流波形。