Literature DB >> 29045343

Brachial-ankle pulse wave velocity compared with mean arterial pressure and pulse pressure in risk stratification in a Chinese population.

Yi-Chao Lu1,2, Ping Lyu1, Hong-Yan Zhu1, Dong-Xu Xu1, Sulaiman Tahir1, Hai-Feng Zhang1, Fang Zhou1, Wen-Ming Yao1, Lei Gong3, Yan-Li Zhou1, Rong Yang1, Yan-Hui Sheng1, Dong-Jie Xu1, Xiang-Qing Kong1, Jan A Staessen4,5, Xin-Li Li1.   

Abstract

BACKGROUND: Brachial-ankle pulse wave velocity (baPWV) can be easily measured in an observer-independent way, but lacks robust population-based validation in terms of fatal combined with nonfatal outcomes.
METHOD: To address this issue, we studied 4251 Chinese randomly recruited Gaoyou County (54.1% women; mean age, 52.1).
RESULTS: In the whole study population, mean values were 102.4 mmHg for mean arterial pressure (MAP), 51.1 mmHg for pulse pressure, and 14.8 m/s for baPWV. Over 4.4 years (median), 74 participants experienced a fatal or nonfatal cardiovascular event and 44 a stroke. In multivariable-adjusted Cox regression, standardized hazard ratios expressing the risk of a composite cardiovascular endpoint were 1.77 (95% confidence interval, 1.43-2.20), 1.37 (1.14-1.64) and 1.50 (1.26-1.78) for MAP, PP and baPWV, respectively; the corresponding hazard ratios for stroke were 1.82 (1.39-2.38), 1.39 (1.12-1.74) and 1.53 (1.25-1.89). baPWV did not add to the prediction of cardiovascular events or stroke by MAP (hazard ratios for baPWV, 1.25 and 1.27, respectively; P ≥ 0.053) but refined models including PP (hazard ratios, 1.42 and 1.45; P ≤ 0.0033). The optimized baPWV threshold, obtained by maximizing Youden's index (16.7 m/s), increased the integrated discrimination improvement over and beyond MAP (+1.27%; P = 0.021) and PP (+1.37%; P = 0.038) for the cardiovascular outcome, but not stroke, and increased the net reclassification improvement for both endpoints (≥42.2%; P ≤ 0.004).
CONCLUSION: With fatal and nonfatal cardiovascular and cerebrovascular endpoints as outcome, baPWV marginally increases risk stratification over and beyond MAP, but is a better predictor than PP. A threshold of 16.7 m/s might be used in Chinese populations.

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Year:  2018        PMID: 29045343     DOI: 10.1097/HJH.0000000000001591

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  7 in total

Review 1.  State of the Art Review: Brachial-Ankle PWV.

Authors:  Hirofumi Tomiyama; Kazuki Shiina
Journal:  J Atheroscler Thromb       Date:  2020-05-23       Impact factor: 4.928

Review 2.  Brachial-ankle pulse wave velocity, cardio-ankle vascular index, and prognosis.

Authors:  Dai Ato
Journal:  Vasc Health Risk Manag       Date:  2018-10-24

3.  Association between neutrophil-lymphocyte ratio and arterial stiffness in patients with acute coronary syndrome.

Authors:  Yanyan Li; Xiaofang Chen; Lingzhi Huang; Jinyang Lu
Journal:  Biosci Rep       Date:  2019-05-03       Impact factor: 3.840

4.  The risk of stroke and associated risk factors in a health examination population: A cross-sectional study.

Authors:  Rui-Cen Li; Wang-Dong Xu; Ya-Li Lei; Ting Bao; Han-Wei Yang; Wen-Xia Huang; Huai-Rong Tang
Journal:  Medicine (Baltimore)       Date:  2019-10       Impact factor: 1.817

5.  Association of serum fibroblast growth factor 19 levels with arteriosclerosis parameters assessed by arterial stiffness and atherogenic index of plasma in patients with type 2 diabetes.

Authors:  Wang-Shu Liu; Meng-Jie Tang; Tian-Li Xu; Jian-Bin Su; Xue-Qin Wang; Feng Xu; Dong-Mei Zhang; Qing Zhu; Jie Cao; Hong Wang
Journal:  Diabetol Metab Syndr       Date:  2020-05-20       Impact factor: 3.320

6.  Comparison of Hemoglobin Alc, Glycated Albumin and Fasting Plasma Glucose for Prediction of Arterial Stiffness in Chinese Adults.

Authors:  Jianghua Wen; Fang Hu; Qiong Yang
Journal:  Diabetes Metab Syndr Obes       Date:  2020-01-10       Impact factor: 3.168

7.  Factors Associated with Brachial-Ankle Pulse Wave Velocity in an Apparently Healthy Chinese Population.

Authors:  Liangmei Chen; Xiaomin Liu; Linpei Jia; Zheyi Dong; Qian Wang; Yizhi Chen; Yong Wang; Ying Zheng; Sasa Nie; KangKang Song; Delong Zhao; Shuwei Duan; Zuoxiang Li; Zhe Feng; Xuefeng Sun; Guangyan Cai; Weiguang Zhang; Xiangmei Chen
Journal:  Biomed Res Int       Date:  2020-07-23       Impact factor: 3.411

  7 in total

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