Assessing the Validity of Computerized Algorithms for Determining Pulse Wave Velocity: A Clinical Study.

IF 3.8 Q1 PERIPHERAL VASCULAR DISEASE
Pulse Pub Date : 2025-01-03 eCollection Date: 2025-01-01 DOI:10.1159/000543354
Amira Tairi, Hasan Obeid, Saliha Addour, Mark Butlin, Alberto P Avolio, Catherine Fortier, Mohsen Agharazii
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Abstract

Introduction: Aortic stiffness, assessed through carotid-femoral pulse wave velocity (PWV), has been associated with an increased risk of cardiovascular events and mortality. Measurements of PWV are based on the proper identification of the foot of the pulse waveform by either the maximum of the second-derivative method (as used in Complior) or the intersecting tangents algorithms (as used in SphygmoCor). These approaches can give different results, especially at higher PWV ranges. However, these devices also differ by signal acquisition technology, signal filtering, and quality control algorithms, making the true contribution of analytical algorithms uncertain. The aim of the present study was to identify the differences in pulse transit time (PTT) and PWV calculated by these two algorithms when provided with the same input signal.

Methods: In 113 subjects, 346 recordings of 10 s were obtained using the Complior Analyse system (PWVComp-2nd). The pulse waves were imported into MATLAB and filtered (n = 4,102 pairs of pulse waves), where after inspection 3,770 pairs were available for determination of PTT using second-derivative and intersecting tangents algorithms (PTTMat-2nd and PTTMat-IT) and the respective PWVMat-2nd and PWVMat-IT for each pair. Additionally, the same pulse wave recordings were analyzed using the SphygmoCor system in simulation mode, employing the intersecting tangents algorithm (PWVSphyg-IT).

Results: The mean beat-by-beat PTTMat-2nd and PTTMat-IT were 54.55 ± 18.55 ms (range 15.00-129.00) and 54.61 ± 18.61 ms (range 15.00-126.00) (p = 0.09), respectively. The mean per participant PWVMat-2nd and PWVMat-IT were 9.67 ± 3.46 m/s and 9.66 ± 3.4 m/s with a mean difference of 0.01 ± 0.32 m/s (p = 0.35). The PWVComp-2nd and PWVSphyg-IT were 9.48 ± 3.25 m/s and 9.59 ± 3.25 m/s with a mean difference of 0.11 ± 0.66 m/s (p = 0.04).

Conclusion: The present study shows that the difference between the two algorithms is negligible across a wide range of PTT and hence does not support the need for adjusting PWV according to the algorithm used for determining PTT.

评估确定脉搏波速度的计算机算法的有效性:一项临床研究。
通过颈-股脉波速度(PWV)评估的主动脉僵硬度与心血管事件和死亡率的风险增加有关。PWV的测量是基于对脉冲波形脚的正确识别,通过二阶导数法的最大值(如在Complior中使用)或相交切线算法(如在sphygmoor中使用)。这些方法可以给出不同的结果,特别是在更高的PWV范围内。然而,这些设备在信号采集技术、信号滤波和质量控制算法方面也有所不同,这使得分析算法的真正贡献不确定。本研究的目的是确定在提供相同输入信号时,这两种算法计算的脉冲传递时间(PTT)和PWV的差异。方法:采用pwvcomp -2系统对113例受试者进行10 s录音346次。将脉冲波导入MATLAB中进行滤波(n = 4,102对脉冲波),经过检验,有3,770对脉冲波可用二阶导数和相交切线算法(pttmat -2和PTTMat-IT)确定PTT,每对脉冲波分别使用pwvmat -2和PWVMat-IT。此外,采用相交切线算法(PWVSphyg-IT),在仿真模式下使用sphygmoor系统分析相同的脉冲波记录。结果:pttmat -2和PTTMat-IT的平均逐拍率分别为54.55±18.55 ms(范围15.00-129.00)和54.61±18.61 ms(范围15.00-126.00)(p = 0.09)。pwvmat -2和PWVMat-IT的人均平均速度分别为9.67±3.46 m/s和9.66±3.4 m/s,平均差异为0.01±0.32 m/s (p = 0.35)。pwvcomp -2和PWVSphyg-IT分别为9.48±3.25 m/s和9.59±3.25 m/s,平均差值为0.11±0.66 m/s (p = 0.04)。结论:本研究表明,在PTT的大范围内,两种算法之间的差异可以忽略不计,因此不支持根据用于确定PTT的算法调整PWV的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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