| Title |
Incremental predictive value of carotid arterial strain in patients with stroke
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, January 2018
|
| DOI | 10.1007/s10554-018-1301-9 |
| Pubmed ID | |
| Authors |
Woo-In Yang, Ki-Woon Kang, Hye Young Lee, Chi-Young Shim, Geu-Ru Hong, Namsik Chung, Jong-Won Ha |
| Abstract |
Although increased carotid intima-media thickness (IMT) is a well-known risk factor for stroke, carotid IMT alone is not sufficient for risk stratification. The assessment of arterial properties using velocity vector imaging (VVI) represents a new method for quantifying structural changes. We sought to investigate the characteristics and the clinical value of carotid arterial mechanics using VVI in patients with stroke. Fifty male patients (55 ± 5 years) with stroke, 30 healthy age-matched volunteers (54 ± 8 years), and 30 healthy young male volunteers (29 ± 5 years) were evaluated. The peak circumferential strain, strain rate, and the standard deviation of the time to peak strain and strain rate, representing the synchronicity of the arterial expansion, were analyzed using VVI of the left common carotid artery. The circumferential strain and strain rate significantly decreased with age, and patients with stroke showed the lowest degree of strain and strain rate compared with healthy age-matched volunteers. In addition, patients with stroke showed decreased strain and strain rate even in participants with a normal carotid IMT (< 0.8 mm). Although carotid IMT did not improve the incremental predictive value of stroke over that of multiple clinical risk factors (diabetes mellitus, hypertension, coronary artery disease, smoking), adding carotid arterial strain and strain rate provided an incremental predictive value over both multiple risk factors and carotid IMT for stroke. Along with assessment of conventional risk factors, VVI analysis could provide improved risk stratification for stroke. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Professor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Nursing and Health Professions | 1 | 6% |
| Neuroscience | 1 | 6% |
| Sports and Recreations | 1 | 6% |
| Unknown | 10 | 59% |
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 13 January 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,116
of 2,012 outputs
Outputs of similar age
#326,604
of 450,898 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#17
of 36 outputs
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