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The relationship between the 24 h blood pressure variability and carotid intima-media thickness: a compared study.
- Source :
-
Computational and mathematical methods in medicine [Comput Math Methods Med] 2014; Vol. 2014, pp. 303159. Date of Electronic Publication: 2014 Feb 11. - Publication Year :
- 2014
-
Abstract
- Large blood pressure variability (BPV) will not only harm the target organ but also increase the possibility of the cardiovascular events. Since the damage of vascular system always leads to the alteration of the carotid wall, the structure and function of the carotid artery have been extensively examined in previous studies. In this work we conduct a study (60 subjects, aged 33-79) to evaluate the relationship between BPV and carotid intima-media thickness (IMT) in Shenzhen, which is one large city in the southern area of China. In our study, the blood pressure (BP) was collected using the 24 h ambulatory BP monitoring, and the BPV was evaluated using standard deviation (SD), coefficient of variation (CV), and average real variability (ARV) during 24 h, daytime and nighttime. All the IMT measurements are collected by ultrasound. The results show that both the daytime, and 24 h systolic BPV evaluated by three indices are positively associated with IMT. Among them, daytime systolic BPV evaluated with ARV is the best variable to represent the increasing of carotid IMT. In addition, after adjusting by age, sex, smoking, hypertension, and mean BP and PP values, 24 h diastolic BPV evaluated with SD also presents the favorable performance.
- Subjects :
- Adult
Aged
Algorithms
Cardiovascular Diseases diagnosis
Carotid Arteries pathology
Carotid Arteries physiopathology
Female
Humans
Male
Medical Informatics methods
Middle Aged
Regression Analysis
Reproducibility of Results
Time Factors
Ultrasonography methods
Blood Pressure physiology
Blood Pressure Monitoring, Ambulatory methods
Carotid Intima-Media Thickness
Hypertension physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1748-6718
- Volume :
- 2014
- Database :
- MEDLINE
- Journal :
- Computational and mathematical methods in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 24660021
- Full Text :
- https://doi.org/10.1155/2014/303159