Literature DB >> 25691545

Common carotid artery end-diastolic velocity is independently associated with future cardiovascular events.

Shao-Yuan Chuang1, Chyi-Huey Bai2, Hao-Ming Cheng3, Jiunn-Rong Chen4, Wen-Ting Yeh5, Pai-Feng Hsu3, Wen-Ling Liu1, Wen-Harn Pan6.   

Abstract

BACKGROUND: Carotid ultrasound is widely used to measure haemodynamic parameters, such as intima-media thickness and blood flow velocities (i.e. peak-systolic velocity [PSV], end-diastolic velocity [EDV], and resistive index [RI]). However, the association between blood flow velocities and cardiovascular events remains unclear. DESIGN AND METHODS: Baseline data, including quantitative ultrasonography, were obtained from 3146 adults as part of the Cardiovascular Diseases Risk Factor Two-Township Study. Occurrence of ischaemic heart disease (IHD) and stroke was determined from insurance claims and death certificates. The hazard ratio (HR) of CVD (IHD and stroke combined) was calculated for EDV and PSV of the common carotid artery using Cox models. Net reclassification index and integrated discrimination index were used to evaluate the capacity of EDV to predict IHD, stroke, and CVD.
RESULTS: Median follow-up was 12.8 years. There were 220 cases of IHD and 247 cases of stroke. The HR (95% CI) for CVD from univariate analysis was 4.54 (3.51-5.85) for EDV <15 cm/s relative to EDV ≥ 20 cm/s (p < 0.0001), and 3.23 (2.51-4.15) for PSV < 65 cm/s relative to PSV ≥ 80 cm/s (p < 0.0001). The HR (95% CI) for CVD from multivariate analysis was 1.66 (1.22-2.26) for EDV < 15 cm/s relative to EDV ≥ 20 cm/s, and 1.39 (1.03-1.89) for PSV < 65 cm/s relative to PSV ≥ 80 cm/s. EDV slightly but significantly improved prediction of CVD (integrated discrimination index 0.56%, p = 0.016).
CONCLUSIONS: Low common carotid EDV and PSV were independently associated with future CVD, and EDV improved the prediction of future CVD. More prospective studies are required in different ethnic groups to understand the significance and implication of these findings. © The European Society of Cardiology 2015.

Entities:  

Keywords:  End-diastolic velocity; ischaemic heart disease; risk assessment and risk reclassification; stroke

Mesh:

Year:  2015        PMID: 25691545     DOI: 10.1177/2047487315571888

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  8 in total

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2.  Associations between electrocardiogram and carotid ultrasound parameters: a healthy chinese group study.

Authors:  Lingwei Shi; Dongsheng Bi; Jingchun Luo; Wei Chen; Cuiwei Yang; Yan Zheng; Ju Hao; Ke Chang; Boyi Li; Chengcheng Liu; Dean Ta
Journal:  Front Physiol       Date:  2022-08-08       Impact factor: 4.755

3.  Effects of 24-week resistance exercise training on carotid peak systolic and end diastolic flow velocity in healthy older adults.

Authors:  Jinkee Park
Journal:  J Phys Ther Sci       Date:  2016-10-28

4.  Effects of 24-Week Aerobic and Resistance Training on Carotid Artery Intima-Media Thickness and Flow Velocity in Elderly Women with Sarcopenic Obesity.

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Journal:  J Atheroscler Thromb       Date:  2017-07-01       Impact factor: 4.928

5.  The effects of the elastin polymorphisms on carotid intima-media thickness in women aged 30 - 70.

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Journal:  J Exerc Nutrition Biochem       Date:  2018-06-30

6.  Correlation of Pre-Hypertension with Carotid Artery Damage in Middle-Aged and Older Adults.

Authors:  Jinkee Park; Yongseong Na; Yunjung Jang; Song-Young Park; Hyuntae Park
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7.  Associations of Blood Pressure and Carotid Flow Velocity with Brain Volume and Cerebral Small Vessel Disease in a Community-Based Population.

Authors:  Shao-Yuan Chuang; Pei-Ning Wang; Liang-Kung Chen; Kun-Hsien Chou; Chih-Ping Chung; Chen-Huan Chen; Gary F Mitchell; Wen-Harn Pan; Hao-Min Cheng
Journal:  Transl Stroke Res       Date:  2020-08-01       Impact factor: 6.829

8.  Acute Effect of Enhanced External Counterpulsation on the Carotid Hemodynamic Parameters in Patients With High Cardiovascular Risk Factors.

Authors:  Yahui Zhang; Zhouming Mai; Jianhang Du; Wenjuan Zhou; Wenbin Wei; Hui Wang; Chun Yao; Xinxia Zhang; Hui Huang; Guifu Wu
Journal:  Front Physiol       Date:  2021-06-17       Impact factor: 4.566

  8 in total

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