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通过超声和眼压测量法对患者特异性主动脉血压波形进行无创估计。

Patient-specific non-invasive estimation of the aortic blood pressure waveform by ultrasound and tonometry.

作者信息

Zhou Shuran, Xu Kai, Fang Yi, Alastruey Jordi, Vennin Samuel, Yang Jun, Wang Junli, Xu Lisheng, Wang Xiaocheng, Greenwald Steve E

机构信息

College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China; Aerospace Clinical Medical Center, School of Aerospace Medicine, Air Force Medical University, Xi'an 710032, China.

Department of Cardiology, General Hospital of Northern Theater Command, Shenyang 110840, China.

出版信息

Comput Methods Programs Biomed. 2024 Apr;247:108082. doi: 10.1016/j.cmpb.2024.108082. Epub 2024 Feb 16.

Abstract

BACKGROUND AND OBJECTIVE

Aortic blood pressure (ABP) is a more effective prognostic indicator of cardiovascular disease than peripheral blood pressure. A highly accurate algorithm for non-invasively deriving the ABP wave, based on ultrasonic measurement of aortic flow combined with peripheral pulse wave measurements, has been proposed elsewhere. However, it has remained at the proof-of-concept stage because it requires a priori knowledge of the ABP waveform to calculate aortic pulse wave velocity (PWV). The objective of this study is to transform this proof-of-concept algorithm into a clinically feasible technique.

METHODS

We used the Bramwell-Hill equation to non-invasively calculate aortic PWV which was then used to reconstruct the ABP waveform from non-invasively determined aortic blood flow velocity, aortic diameter, and radial pressure. The two aortic variables were acquired by an ultrasound system from 90 subjects, followed by recordings of radial pressure using a SphygmoCor device. The ABPs estimated by the new algorithm were compared with reference values obtained by cardiac catheterization (invasive validation, 8 subjects aged 62.3 ± 12.7 years) and a SphygmoCor device (non-invasive validation, 82 subjects aged 45.0 ± 17.8 years).

RESULTS

In the invasive comparison, there was good agreement between the estimated and directly measured pressures: the mean error in systolic blood pressure (SBP) was 1.4 ± 0.8 mmHg; diastolic blood pressure (DBP), 0.9 ± 0.8 mmHg; mean blood pressure (MBP), 1.8 ± 1.2 mmHg and pulse pressure (PP), 1.4 ± 1.1 mmHg. In the non-invasive comparison, the estimated and directly measured pressures also agreed well: the errors being: SBP, 2.0 ± 1.4 mmHg; DBP, 0.8 ± 0.1 mmHg; MBP, 0.1 ± 0.1 mmHg and PP, 2.3 ± 1.6 mmHg. The significance of the differences in mean errors between calculated and reference values for SBP, DBP, MBP and PP were assessed by paired t-tests. The agreement between the reference methods and those obtained by applying the new approach was also expressed by correlation and Bland-Altman plots.

CONCLUSION

The new method proposed here can accurately estimate ABP, allowing this important variable to be obtained non-invasively, using standard, well validated measurement techniques. It thus has the potential to relocate ABP estimation from a research environment to more routine use in the cardiac clinic.

SHORT ABSTRACT

A highly accurate algorithm for non-invasively deriving the ABP wave has been proposed elsewhere. However, it has remained at the proof-of-concept stage because it requires a priori knowledge of the ABP waveform to calculate aortic pulse wave velocity (PWV). This study aims to transform this proof-of-concept algorithm into a clinically feasible technique. We used the Bramwell-Hill equation to non-invasively calculate aortic PWV which was then used to reconstruct the ABP waveform. The ABPs estimated by the new algorithm were compared with reference values obtained by cardiac catheterization or a SphygmoCor device. The results showed that there was good agreement between the estimated and directly measured pressures. The new method proposed can accurately estimate ABP, allowing this important variable to be obtained non-invasively, using standard, well validated measurement techniques. It thus has the potential to relocate ABP estimation from a research environment to more routine use in the cardiac clinic.

摘要

背景与目的

主动脉血压(ABP)是比外周血压更有效的心血管疾病预后指标。其他地方已提出一种基于主动脉血流超声测量结合外周脉搏波测量来无创推导ABP波的高精度算法。然而,它一直停留在概念验证阶段,因为计算主动脉脉搏波速度(PWV)需要ABP波形的先验知识。本研究的目的是将这种概念验证算法转化为临床可行的技术。

方法

我们使用布拉姆韦尔 - 希尔方程无创计算主动脉PWV,然后用于从无创测定的主动脉血流速度、主动脉直径和桡动脉压力重建ABP波形。通过超声系统从90名受试者获取这两个主动脉变量,随后使用SphygmoCor设备记录桡动脉压力。将新算法估计的ABP与通过心导管检查获得的参考值(有创验证,8名年龄62.3±12.7岁的受试者)和SphygmoCor设备(无创验证,82名年龄45.0±17.8岁的受试者)进行比较。

结果

在有创比较中,估计压力与直接测量压力之间具有良好的一致性:收缩压(SBP)的平均误差为1.4±0.8 mmHg;舒张压(DBP)为0.9±0.8 mmHg;平均血压(MBP)为1.8±1.2 mmHg;脉压(PP)为1.4±1.1 mmHg。在无创比较中,估计压力与直接测量压力也吻合良好:误差分别为:SBP 2.0±1.4 mmHg;DBP 0.8±0.1 mmHg;MBP 0.1±0.1 mmHg;PP 2.3±1.6 mmHg。通过配对t检验评估SBP、DBP、MBP和PP的计算值与参考值之间平均误差差异的显著性。参考方法与应用新方法获得的结果之间的一致性也通过相关性和布兰德 - 奥特曼图表示。

结论

这里提出的新方法可以准确估计ABP,允许使用标准的、经过充分验证的测量技术无创获得这个重要变量。因此,它有可能将ABP估计从研究环境转移到心脏诊所更常规的应用中。

简短摘要

其他地方已提出一种用于无创推导ABP波的高精度算法。然而,它一直停留在概念验证阶段,因为计算主动脉脉搏波速度(PWV)需要ABP波形的先验知识。本研究旨在将这种概念验证算法转化为临床可行的技术。我们使用布拉姆韦尔 - 希尔方程无创计算主动脉PWV,然后用于重建ABP波形。将新算法估计的ABP与通过心导管检查或SphygmoCor设备获得的参考值进行比较。结果表明,估计压力与直接测量压力之间具有良好的一致性。所提出的新方法可以准确估计ABP,允许使用标准的、经过充分验证的测量技术无创获得这个重要变量。因此,它有可能将ABP估计从研究环境转移到心脏诊所更常规的应用中。

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