Literature DB >> 28438905

Brachial-Ankle Pulse Wave Velocity and the Risk Prediction of Cardiovascular Disease: An Individual Participant Data Meta-Analysis.

Toshiaki Ohkuma1, Toshiharu Ninomiya1, Hirofumi Tomiyama2, Kazuomi Kario1, Satoshi Hoshide1, Yoshikuni Kita1, Toyoshi Inoguchi1, Yasutaka Maeda1, Katsuhiko Kohara1, Yasuharu Tabara1, Motoyuki Nakamura1, Takayoshi Ohkubo1, Hirotaka Watada1, Masanori Munakata1, Mitsuru Ohishi1, Norihisa Ito1, Michinari Nakamura1, Tetsuo Shoji1, Charalambos Vlachopoulos1, Akira Yamashina1.   

Abstract

An individual participant data meta-analysis was conducted in the data of 14 673 Japanese participants without a history of cardiovascular disease (CVD) to examine the association of the brachial-ankle pulse wave velocity (baPWV) with the risk of development of CVD. During the average 6.4-year follow-up period, 687 participants died and 735 developed cardiovascular events. A higher baPWV was significantly associated with a higher risk of CVD, even after adjustments for conventional risk factors (P for trend <0.001). When the baPWV values were classified into quintiles, the multivariable-adjusted hazard ratio for CVD increased significantly as the baPWV quintile increased. The hazard ratio in the subjects with baPWV values in quintile 5 versus that in those with the values in quintile 1 was 3.50 (2.14-5.74; P<0.001). Every 1 SD increase of the baPWV was associated with a 1.19-fold (1.10-1.29; P<0.001) increase in the risk of CVD. Moreover, addition of baPWV to a model incorporating the Framingham risk score significantly increased the C statistics from 0.8026 to 0.8131 (P<0.001) and also improved the category-free net reclassification (0.247; P<0.001). The present meta-analysis clearly established baPWV as an independent predictor of the risk of development of CVD in Japanese subjects without preexisting CVD. Thus, measurement of the baPWV could enhance the efficacy of prediction of the risk of development of CVD over that of the Framingham risk score, which is based on the traditional cardiovascular risk factors.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  arterial stiffness; brachial-ankle pulse wave velocity; cardiovascular disease; individual participant data meta-analysis; risk factors

Mesh:

Year:  2017        PMID: 28438905     DOI: 10.1161/HYPERTENSIONAHA.117.09097

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  118 in total

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5.  Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017.

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6.  Social Role-Related Stress and Social Role-Related Reward as Related to Subsequent Subclinical Cardiovascular Disease in a Longitudinal Study of Midlife Women: The Study of Women's Health Across the Nation.

Authors:  Andrea Leigh Stewart; Emma Barinas-Mitchell; Karen A Matthews; Samar R El Khoudary; Jared W Magnani; Elizabeth A Jackson; Maria M Brooks
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Authors:  Toshiki Kaihara; Yuki Imaizumi; Kazuo Eguchi; Kazuomi Kario
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8.  Comparative Assessment of Cutoffs for the Cardio-Ankle Vascular Index and Brachial-Ankle Pulse Wave Velocity in a Nationwide Registry: A Cardiovascular Prognostic Coupling Study.

Authors:  Tomoyuki Kabutoya; Kazuomi Kario
Journal:  Pulse (Basel)       Date:  2018-07-24

9.  Associations Between Depression, Arterial Stiffness, and Metabolic Syndrome Among Adults in the UK Biobank Population Study: A Mediation Analysis.

Authors:  Alex Dregan; Lauren Rayner; Katrina A S Davis; Ioannis Bakolis; Jorge Arias de la Torre; Jayati Das-Munshi; Stephani L Hatch; Robert Stewart; Matthew Hotopf
Journal:  JAMA Psychiatry       Date:  2020-06-01       Impact factor: 21.596

10.  Gender differences in the risk factors associated with atherosclerosis by carotid intima-media thickness, plaque score, and pulse wave velocity.

Authors:  Satoko Ojima; Takuro Kubozono; Shin Kawasoe; Takeko Kawabata; Hironori Miyahara; Koichi Tokushige; Mitsuru Ohishi
Journal:  Heart Vessels       Date:  2021-01-25       Impact factor: 2.037

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