Clinical research progress in pulse wave velocity in the assessment of vascular aging.
10.11817/j.issn.1672-7347.2024.240210
- Author:
Jingjing WU
1
,
2
,
3
;
Fei LI
1
;
Jie WANG
1
;
Jingjing CAI
4
;
Hong YUAN
1
;
Yao LU
1
,
3
,
5
Author Information
1. Clinical Research Center, Third Xiangya Hospital, Central South University, Changsha
2. wjj6526@
3. com.
4. Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
5. luyao0719@
- Publication Type:Review
- Keywords:
arterial stiffness;
cardiovascular disease;
pharmacological treatment;
pulse wave velocity;
vascular aging
- MeSH:
Humans;
Pulse Wave Analysis/methods*;
Cardiovascular Diseases/diagnosis*;
Aging/physiology*;
Vascular Stiffness/physiology*;
Hypertension/physiopathology*;
Risk Factors;
Blood Vessels/physiopathology*
- From:
Journal of Central South University(Medical Sciences)
2024;49(12):1991-1998
- CountryChina
- Language:English
-
Abstract:
Vascular aging refers to the degenerative changes in vascular wall structure and vasodilatory function, forming the pathophysiological basis for the onset and progression of cardiovascular disease (CVD). Pulse wave velocity (PWV), a non-invasive method for evaluating and detecting early vascular aging, has achieved significant results in predicting CVD risk and evaluating the efficacy of pharmacological treatments. PWV can effectively predict CVD risk across various populations, including healthy individuals, patients with hypertension, diabetes, and chronic inflammatory diseases. In patients with comorbidities such as hypertension, pharmacological interventions, such as anti-inflammatory, lipid-lowering, anti-hypertensive, and anti-diabetic treatments, can effectively reduce PWV and thus slow down vascular aging. Therefore, PWV is not only a vital tool for assessing early vascular aging but also an important indicator for evaluating treatment outcomes. Regular monitoring of PWV levels is of great significance in predicting CVD risk, evaluating therapeutic efficacy, and guiding clinical decision-making.