Unknown

Dataset Information

0

Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness.


ABSTRACT: 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 ?, to achieve better performance over AI r in assessing arterial stiffness. 120 subjects (43?±?21 years old) were enrolled. The best-fit ? 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?r (r?=?0.61, P?d (r?=?-0.17, P?=?0.06), the central augmentation index (AI c ) (r?=?0.61, P?c normalized for heart rate of 75?bpm (r?=?0.65, P?r (age, P?rd has fewer confounding factors (age, P?rd derives performance improvement in assessing arterial stiffness, with a stronger correlation with cfPWV and fewer confounding factors.

SUBMITTER: Yao Y 

PROVIDER: S-EPMC5517606 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness.

Yao Yang Y   Hao Liling L   Xu Lisheng L   Zhang Yahui Y   Qi Lin L   Sun Yingxian Y   Yang Benqiang B   van de Vosse Frans N FN   Yao Yudong Y  

Scientific reports 20170719 1


Arterial stiffness is an important risk factor for cardiovascular events. Radial augmentation index (AI <sub>r</sub> ) can be more conveniently measured compared with carotid-femoral pulse wave velocity (cfPWV). However, the performance of AI <sub>r</sub> in assessing arterial stiffness is limited. This study proposes a novel index AI <sub>rd</sub> , a combination of AI <sub>r</sub> and diastolic augmentation index (AI <sub>d</sub> ) with a weight α, to achieve better performance over AI <sub>r<  ...[more]

Similar Datasets

| S-EPMC5787373 | biostudies-literature
| S-EPMC6096904 | biostudies-literature
| S-EPMC3402954 | biostudies-literature
| S-EPMC4949370 | biostudies-literature
| S-EPMC3151727 | biostudies-literature
| S-EPMC10015827 | biostudies-literature
| S-EPMC4143270 | biostudies-literature
| S-EPMC9606341 | biostudies-literature
| S-EPMC8473610 | biostudies-literature
| S-EPMC6757252 | biostudies-literature