TY - JOUR
T1 - Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
AU - Yao, Yang
AU - Hao, Liling
AU - Xu, Lisheng
AU - Zhang, Yahui
AU - Qi, Lin
AU - Sun, Yingxian
AU - Yang, Benqiang
AU - Van De Vosse, Frans N.
AU - Yao, Yudong
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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 α, to achieve better performance over AI r in assessing arterial stiffness. 120 subjects (43 ± 21 years old) were enrolled. The best-fit α 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.
AB - 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 α, to achieve better performance over AI r in assessing arterial stiffness. 120 subjects (43 ± 21 years old) were enrolled. The best-fit α 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.
UR - https://www.scopus.com/pages/publications/85025463875
UR - https://www.scopus.com/pages/publications/85025463875#tab=citedBy
U2 - 10.1038/s41598-017-06094-2
DO - 10.1038/s41598-017-06094-2
M3 - Article
C2 - 28724946
AN - SCOPUS:85025463875
VL - 7
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 5864
ER -