title: The relationship between the 24 h blood pressure variability and carotid intima-media thickness: a compared study.
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.
authors.affiliation: Department of Ultrasound, The Second Peoples' Hospital of Shenzhen, Shenzhen 518029, China.
authors.forename: Huahua
authors.initials: H
authors.lastname: Xiong
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China ; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen 518055, China.
authors.forename: Dan
authors.identifier: 0000-0001-5838-0198
authors.initials: D
authors.lastname: Wu
authors.affiliation: Cardiac Electrocardiogram Room, The Second Peoples' Hospital of Shenzhen, Shenzhen 518029, China.
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Tian
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China ; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen 518055, China.
authors.forename: Wan-Hua
authors.initials: WH
authors.lastname: Lin
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China ; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen 518055, China.
authors.forename: Chunyue
authors.initials: C
authors.lastname: Li
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China ; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen 518055, China.
authors.forename: Heye
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China ; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen 518055, China.
authors.forename: Yunpeng
authors.identifier: 0000-0001-8797-4243
authors.initials: Y
authors.lastname: Cai
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China ; Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen 518055, China ; Joint Research Center for Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
authors.forename: Yuan-Ting
authors.initials: YT
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001794:Blood Pressure / Q000502:physiology*; D018660:Blood Pressure Monitoring, Ambulatory / Q000379:methods*; D002318:Cardiovascular Diseases / Q000175:diagnosis; D002339:Carotid Arteries / Q000473:pathology / Q000503:physiopathology; D059168:Carotid Intima-Media Thickness; D005260:Female; D006801:Humans; D006973:Hypertension / Q000503:physiopathology*; D008297:Male; D008490:Medical Informatics / Q000379:methods; D008875:Middle Aged; D012044:Regression Analysis; D015203:Reproducibility of Results; D013997:Time Factors; D014463:Ultrasonography / Q000379:methods