Journal of Peking University(Health Sciences) ›› 2013, Vol. 45 ›› Issue (6): 916-922.

• Articles • Previous Articles     Next Articles

Relationship between radial augmentation index and other indices for evaluating arteriosclerosis

LIU Yan, QI Li-tong, MA Wei, YANG Ying, MENG Lei, ZHANG Bao-wei, HUO Yong△   

  1. (Department of Cardiovasology, Peking University First Hospital, Beijing 100034, China)
  • Online:2013-12-18 Published:2013-12-18

Abstract: To investigate the relationship between radial augmentation index (AI) and other noninvasive indices for evaluating arteriosclerosis. Methods: From April to June 2010, a cross-sectional survey was performed in two communities of Shijingshan District, Beijing, China. This study involved 1 752 subjects (aged 23 to 90 years). AI was measured using Colin pulse wave detection device HEM9000AI. Brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI) were measured using Colin noninvasive arteriosclerosis tester VP-1000.Color Doppler flow imaging was used to measure intima-media thickness (IMT) of the bilateral carotid arteries. Results: Compared with the control group, baPWV≥14 m/s, ABI≤0.9 and IMT≥0.9 mm groups showed no significant difference in AI75 (P>0.05). Hypertensive individuals had significantly higher baPWV than the healthy group. Elderly hypertensive individuals with diabetes mellitus or (and) dyslipidemia had lower ABI than the control group. There was no significant difference of AI75 between the disease groups and the healthy group (P>0.05). Pearson correlation analysis showed that AI75 was associated with women, central aortic systolic pressure, total cholesterol, low-density lipoprotein, high-density lipoprotein, and inversely associated with body mass index, waist hip ratio, triglycerides, fasting serum glucose, and not associated with age (r=0.045, P=0.064). There was negative correlation between AI75 and ABI, IMT. AI75  was positively correlated with baPWV in the male group (r=0.101, P=0.005), but not correlated in the female group. Partial correlation analysis found that AI75 was inversely associated with ABI, baPWV and IMT. There was negative correlation between AI75 and baPWV, IMT in the female and male groups, and no correlation between AI75 and ABI (P>0.05). Multivariate gradual regression analysis demonstrated that the independent positive correlation factors of AI75 included female, age, waist hip ratio, central aortic systolic pressure, and the negative correlation factors were body mass index, height, fasting serum glucose (R2=0.372). Conclusion: The lack of correlation of radial augmentation index with indices for evaluating arteriosclerosis suggests that AI is not a sensitive and reliable index for evaluating the degree of arterial stiffness.

Key words: Radial artery, Vascular diseases, Atherosclerosis, Augmentation index

[1] Jing HE,Zhongze FANG,Ying YANG,Jing LIU,Wenyao MA,Yong HUO,Wei GAO,Yangfeng WU,Gaoqiang XIE. Relationship between lipid metabolism molecules in plasma and carotid atheroscle-rotic plaques, traditional cardiovascular risk factors, and dietary factors [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 722-728.
[2] Tianjing ZHOU,Qiuping LIU,Minglu ZHANG,Xiaofei LIU,Jiali KANG,Peng SHEN,Hongbo LIN,Xun TANG,Pei GAO. Comparison of initiation of antihypertensive therapy strategies for primary prevention of cardiovascular diseases in Chinese population: A decision-analytic Markov modelling study [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 441-447.
[3] Ming-lu ZHANG,Qiu-ping LIU,Chao GONG,Jia-min WANG,Tian-jing ZHOU,Xiao-fei LIU,Peng SHEN,Hong-bo LIN,Xun TANG,Pei GAO. Comparison of aspirin treatment strategies for primary prevention of cardiovascular diseases: A decision-analytic Markov modelling study [J]. Journal of Peking University (Health Sciences), 2023, 55(3): 480-487.
[4] Chao GONG,Qiu-ping LIU,Jia-min WANG,Xiao-fei LIU,Ming-lu ZHANG,Han YANG,Peng SHEN,Hong-bo LIN,Xun TANG,Pei GAO. Effectiveness of statin treatment strategies for primary prevention of cardiovascular diseases in a community-based Chinese population: A decision-analytic Markov model [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 443-449.
[5] Jia-min WANG,Qiu-ping LIU,Ming-lu ZHANG,Chao GONG,Shu-dan LIU,Wei-ye CHEN,Peng SHEN,Hong-bo LIN,Pei GAO,Xun TANG. Effectiveness of different screening strategies for type 2 diabete on preventing cardiovascular diseases in a community-based Chinese population using a decision-analytic Markov model [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 450-457.
[6] LIU Qiu-ping,CHEN Xi-jin,WANG Jia-min,LIU Xiao-fei,SI Ya-qin,LIANG Jing-yuan,SHEN Peng,LIN Hong-bo,TANG Xun,GAO Pei. Effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population: A decision-analytic Markov model [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 460-466.
[7] GUO Zi-ning, LIANG Zhi-sheng, ZHOU Yi, ZHANG Na, HUANG Jie. Genetic study of cardiovascular disease subtypes defined by International Classification of Diseases [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 453-459.
[8] Teng-fei LIU,Tao LIN,Li-hui REN,Guang-ping LI,Jian-jun PENG. Association between CMTM5 gene and coronary artery disease and the relative mechanism [J]. Journal of Peking University (Health Sciences), 2020, 52(6): 1082-1087.
[9] Jia-li CHEN,Yue-bo JIN,Yi-fan WANG,Xiao-ying ZHANG,Jing LI,Hai-hong YAO,Jing HE,Chun LI. Clinical characteristics and risk factors of cardiovascular disease in patients with elderly-onset rheumatoid arthritis: A large cross-sectional clinical study [J]. Journal of Peking University (Health Sciences), 2020, 52(6): 1040-1047.
[10] Yan XUAN,Yu CAI,Xiao-xuan WANG,Qiao SHI,Li-xin QIU,Qing-xian LUAN. Effect of Porphyromonas gingivalis infection on atherosclerosis in apolipoprotein-E knockout mice [J]. Journal of Peking University (Health Sciences), 2020, 52(4): 743-749.
[11] Jing ZHANG,Su-fang LI,Hong CHEN,Jun-xian SONG. Role of miR-106b-5p in the regulation of gene profiles in endothelial cells [J]. Journal of Peking University(Health Sciences), 2019, 51(2): 221-227.
[12] YANG Chao, WANG Jin-wei, YANG Yao-zheng, BAI Kun-hao, GAO Bi-xia, ZHAO Ming-hui, ZHANG Lu-xia, WU Shou-ling, WANG Fang. Impact of anemia and chronic kidney disease on the risk of cardiovascular disease and all-cause mortality among diabetic patients [J]. Journal of Peking University(Health Sciences), 2018, 50(3): 495-500.
[13] SI Ya-qin, TANG Xun, ZHANG Du-dan, HE Liu, CAO Yang, WANG Jin-wei, LI Na, LIU Jian-jiang, GAO Pei, HU Yong-hua. Effectiveness of different screening strategies for primary prevention of cardiovascular diseases in a rural northern Chinese population [J]. Journal of Peking University(Health Sciences), 2018, 50(3): 443-449.
[14] TANG Xun1, ZHANG Du-dan, HE Liu, CAO Yang, WANG Jin-wei, LI Na, HUANG Shao-ping, DOU Hui-dong, GAO Pei, HU Yong-hua. Application of the China-PAR risk prediction model for atherosclerotic cardiovascular disease in a rural northern Chinese population [J]. Journal of Peking University(Health Sciences), 2017, 49(3): 439-445.
[15] XIAO Tian-yi, LIU Yan, LI Ji-lai, WANG Rui-tong, DU Ji-chen. Diagnostic value of carotid atherosclerosis score for ischemic stroke [J]. Journal of Peking University(Health Sciences), 2016, 48(6): 1000-1005.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!