| Title |
Color M-mode echocardiography-derived propagation velocity of descending aorta decreases with aging
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, May 2017
|
| DOI | 10.2147/tcrm.s133011 |
| Pubmed ID | |
| Authors |
Mehmet Yaman, Uğur Arslan, Adil Bayramoğlu, Osman Bektaş, Ahmet Karataş |
| Abstract |
Arterial stiffness (AS) can be determined by some noninvasive tests such as pulse wave velocity (PWV). Atherosclerosis is also detectable by some ultrasonographic techniques such as color M-mode-derived propagation velocity measured along the origin of the descending aorta (AVP). The aim of the study was to find out a possible relationship between atherosclerosis and AVP and whether AVP can be used as a parameter of AS. The study group was composed of 134 people from routine screening examination who were ≥40 years old, completely healthy, and without any known disease and use of any drug. PWV has been determined to show aortic stiffness, and carotid artery intima- media thickness (CIMT) was measured for subclinical atherosclerosis. AVP values were obtained from all participants, and correlations were calculated between these parameters and age. AVP decreased (r=-0.902, P<0.001) and PWV increased (r=0.854, P<0.001) significantly with increasing age. CIMT also increased with aging (r=0.518, P<0.001). There were significant correlations between AVP and PWV (r=-0.832, P<0.001) and AVP and CIMT (r=-0.345, P<0.001). Transthoracic echocardiographic determination of AVP can be used as a simple measurement of AS and correlates well with PWV, age, and CIMT in healthy people. |
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 | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 29% |
| Librarian | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Student > Master | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 29% |
| Psychology | 2 | 29% |
| Nursing and Health Professions | 1 | 14% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 May 2017.
All research outputs
#15,989,045
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#748
of 1,323 outputs
Outputs of similar age
#183,373
of 324,557 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#12
of 22 outputs
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