European Journal of Integrative Medicine | 2019
Multiple linear regression model for vascular aging assessment based on radial artery pulse wave
Abstract
Abstract Introduction Vascular aging is an independent risk factor for cardiovascular diseases, which has always been a research hotspot. This study aims to establish a Multiple Linear Regression (MLR) model using radial artery pulse wave characteristic parameters to assess vascular aging. Methods Data from 111 males and 117 females were used to propose a new method for extracting pulse wave characteristic parameters called, Equal Pressure Pulse Transit Time (EP-PTT). Firstly, 10 EP-PTTs were extracted from pulse waves which were used to describe the shape characteristics of the pulse signal. Secondly, 10 EP-PTTs were fed into MLR model, which were used to optimize the model. Lastly, the predicted age of all subjects was calculated by the optimal model. We compared the correlation coefficients of predicted age with Pulse Transit Time (PTT) and Augmentation Index (AIx) with the correlation coefficients of chronological age with PTT and AIx. Results 9 EP-PTTs were relevant to predicting age in men and all EP-PTTs were age-related in women (P Conclusions The predicted age can better reflect vascular aging than chronological age. This proved the validity of the proposed method for assessing vascular aging.