Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness

作者:Yao, Yang; Hao, Liling; Xu, Lisheng*; Zhang, Yahui; Qi, Lin; Sun, Yingxian; Yang, Benqiang*; van de Vosse, Frans N.; Yao, Yudong
来源:Scientific Reports, 2017, 7(1): 5864.
DOI:10.1038/s41598-017-06094-2

摘要

Arterial stiffness is an important risk factor for cardiovascular events. Radial augmentation index (AI(r)) can be more conveniently measured compared with carotid-femoral pulse wave velocity (cfPWV). However, the performance of AI(r) in assessing arterial stiffness is limited. This study proposes a novel index AI(rd), a combination of AI(r) and diastolic augmentation index (AI(d)) with a weight a, to achieve better performance over AI(r) in assessing arterial stiffness. 120 subjects (43 +/- 21 years old) were enrolled. The best-fit a is determined by the best correlation coefficient between AI(rd) and cfPWV. The performance of the method was tested using the 12-fold cross validation method. AI(rd) (r = 0.68, P < 0.001) shows a stronger correlation with cfPWV and a narrower prediction interval than AI(r) (r = 0.61, P < 0.001), AI(d) (r = -0.17, P = 0.06), the central augmentation index (AI(c)) (r = 0.61, P < 0.001) or AI(c) normalized for heart rate of 75 bpm (r = 0.65, P < 0.001). Compared with AI(r) (age, P < 0.001; gender, P < 0.001; heart rate, P < 0.001; diastolic blood pressure, P < 0.001; weight, P = 0.001), AI(rd) has fewer confounding factors (age, P < 0.001; gender, P < 0.001). In conclusion, AI(rd) derives performance improvement in assessing arterial stiffness, with a stronger correlation with cfPWV and fewer confounding factors.