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周边脉搏波区域:动脉粥样硬化变化的潜在标志物。

Areas under peripheral pulse waves: a potential marker of atherosclerotic changes.

机构信息

BioMediTech Institute and Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland.

出版信息

Physiol Meas. 2018 Feb 26;39(2):025003. doi: 10.1088/1361-6579/aaa46b.

Abstract

OBJECTIVE

In this study, we propose a method for finding atherosclerotic changes based on the ratios of areas under peripheral arterial pulse wave (PW) contours and analyze its performance.

APPROACH

The PW signals were recorded with force sensors and photoplethysmographic sensors from ankle, wrist, cubital fossa, index finger and second toe from 30 atherosclerotic patients and 52 control subjects. In addition, the day-to-day repeatability of the method was studied with 10 test subjects examined on three different days. The ratios of areas under the PWs were computed and the results were evaluated by means of receiver operating characteristic (ROC) analysis, intra-class correlation (ICC) coefficient and multiple linear regression analysis.

MAIN RESULTS

Areas under ROC curves of 0.802-0.906 were found for different area ratios having statistically significant differences between the atheroslerotic group and control groups. ICCs over 0.80 were found widely for the beat-by-beat analyzed data and over 0.95 for the data based on the averages over different numbers of PWs. Multiple linear regression analysis showed linear dependence between the area ratios and age and the diagnosis of atherosclerosis.

SIGNIFICANCE

Our findings may facilitate development of novel diagnostic approaches and preventive strategies against cardiovascular disorders. However, further studies are needed to confirm the results. The presented study demonstrates the potential of arterial PW analysis in finding vascular abnormalities.

摘要

目的

本研究提出一种基于外周动脉脉搏波(PW)轮廓下面积比值的动脉粥样硬化变化检测方法,并分析其性能。

方法

使用力传感器和光体积描记传感器从 30 名动脉粥样硬化患者和 52 名对照者的踝、腕、肘窝、食指和第二趾记录 PW 信号。此外,还对 10 名受试者在 3 天的不同时间进行了测试,研究了该方法的日常重复性。计算 PW 的面积比,并通过接收者操作特征(ROC)分析、组内相关系数(ICC)和多元线性回归分析评估结果。

主要结果

不同面积比的 ROC 曲线下面积在 0.802-0.906 之间,动脉粥样硬化组与对照组之间有统计学显著差异。在逐搏分析数据中,ICC 值广泛超过 0.80,在基于不同数量 PW 平均值的数据中,ICC 值超过 0.95。多元线性回归分析显示,面积比与年龄和动脉粥样硬化的诊断呈线性相关。

意义

我们的发现可能有助于开发针对心血管疾病的新诊断方法和预防策略。然而,需要进一步的研究来证实这些结果。本研究表明了动脉 PW 分析在发现血管异常方面的潜力。

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