| Title |
Association of brachial-ankle pulse wave velocity with atherosclerosis and presence of coronary artery disease in older patients
|
|---|---|
| Published in |
Clinical Interventions in Aging, August 2015
|
| DOI | 10.2147/cia.s89568 |
| Pubmed ID | |
| Authors |
Chang-Min Chung, Yu-Hsiang Tseng, Yu-Sheng Lin, Jen-Te Hsu, Po-Chang Wang |
| Abstract |
Brachial-ankle pulse wave velocity (baPWV) is a simple and reproducible measure of arterial stiffness and is extensively used to assess risk of cardiovascular disease in Asia. We examined whether baPWV was associated with coronary atherosclerosis and presence and extent of coronary artery disease (CAD) in older patients with chest pain. This cross-sectional study enrolled 370 consecutive patients >65 years old who underwent baPWV measurement and elective coronary angiogram for suspected CAD at a single cardiovascular center, between June 2013 and July 2014. In addition to diabetes mellitus and body mass index, baPWV was one of the statistically meaningful predictors of significant CAD (diameter of stenosis >50%) in a multivariate analysis. When the extent of CAD was classified as nonsignificant or significant CAD (ie, one-, two-, and three-vessel disease), there was a significant difference in baPWV between the significant and nonsignificant CAD groups, but not between the three significant CAD groups. Multivariate linear regression analyses showed that the number of diseased vessels and baPWV were both significantly associated with the SYNTAX (SYNergy between percutaneous coronary intervention with TAXus and cardiac surgery) score. The cutoff value of baPWV at 1,874 cm/s had a sensitivity of 60.1%, specificity of 70.8%, and area under receiver operating characteristic curve of 0.639 in predicting CAD. Arterial stiffness determined by baPWV was associated independently with CAD severity, as assessed by angiography and the SYNTAX score in older patients with chest pain. As a result, increased arterial stiffness assessed by baPWV is associated with the severity and presence of CAD in older patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 28% |
| Other | 5 | 13% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 38% |
| Nursing and Health Professions | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 August 2015.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Clinical Interventions in Aging
#1,550
of 1,968 outputs
Outputs of similar age
#202,333
of 276,428 outputs
Outputs of similar age from Clinical Interventions in Aging
#42
of 55 outputs
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