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Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness

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...

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Autores principales: Yao, Yang, Hao, Liling, Xu, Lisheng, Zhang, Yahui, Qi, Lin, Sun, Yingxian, Yang, Benqiang, van de Vosse, Frans N., Yao, Yudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517606/
https://www.ncbi.nlm.nih.gov/pubmed/28724946
http://dx.doi.org/10.1038/s41598-017-06094-2
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author Yao, Yang
Hao, Liling
Xu, Lisheng
Zhang, Yahui
Qi, Lin
Sun, Yingxian
Yang, Benqiang
van de Vosse, Frans N.
Yao, Yudong
author_facet Yao, Yang
Hao, Liling
Xu, Lisheng
Zhang, Yahui
Qi, Lin
Sun, Yingxian
Yang, Benqiang
van de Vosse, Frans N.
Yao, Yudong
author_sort Yao, Yang
collection PubMed
description 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.
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spelling pubmed-55176062017-07-20 Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness Yao, Yang Hao, Liling Xu, Lisheng Zhang, Yahui Qi, Lin Sun, Yingxian Yang, Benqiang van de Vosse, Frans N. Yao, Yudong Sci Rep Article 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. Nature Publishing Group UK 2017-07-19 /pmc/articles/PMC5517606/ /pubmed/28724946 http://dx.doi.org/10.1038/s41598-017-06094-2 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yao, Yang
Hao, Liling
Xu, Lisheng
Zhang, Yahui
Qi, Lin
Sun, Yingxian
Yang, Benqiang
van de Vosse, Frans N.
Yao, Yudong
Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
title Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
title_full Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
title_fullStr Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
title_full_unstemmed Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
title_short Diastolic Augmentation Index Improves Radial Augmentation Index in Assessing Arterial Stiffness
title_sort diastolic augmentation index improves radial augmentation index in assessing arterial stiffness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517606/
https://www.ncbi.nlm.nih.gov/pubmed/28724946
http://dx.doi.org/10.1038/s41598-017-06094-2
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