title: Comparison of ultrasound echo-tracking technology and pulse wave velocity for measuring carotid elasticity among hemodialysis patients.
abstract: This study aims to investigate the correlation between carotid elasticity in hemodialysis patients as evaluated by ultrasound echo-tracking technology and aortic pulse wave velocity. A total of 103 patients with end-stage renal disease who underwent stable hemodialysis were enrolled. An ultrasonic echo-tracking method was used to evaluate the elastic modulus and the stiffness index (β), which were compared with pulse wave velocity (PWV). Blood glucose, blood lipids, and serum creatinine were also tested. These indices were analyzed to determine the independent factor for arterial elasticity. The carotid elastic modulus and β were in good correlation with PWV among hemodialysis patients (P = 0.000). Diabetes and age are independent risk factors for arterial elasticity among hemodialysis patients. Ultrasound echo-tracking technology is a sensitive and accurate method for evaluating arterial elasticity and is a good alternative to traditional PWV.
authors.affiliation: Department of Ultrasonography, ChaoYang Hospital, Capital Medical University, Beijing, China.
authors.forename: Ze-Xing
authors.initials: ZX
authors.lastname: Yu
authors.forename: Xiang-Zhu
authors.initials: XZ
authors.lastname: Wang
authors.forename: Rui-Jun
authors.initials: RJ
authors.lastname: Guo
authors.forename: Zao-Xia
authors.initials: ZX
authors.lastname: Zhong
authors.forename: Yi-Lun
authors.initials: YL
authors.lastname: Zhou
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002339:Carotid Arteries / Q000000981:diagnostic imaging*; D059168:Carotid Intima-Media Thickness; D054459:Elasticity Imaging Techniques / Q000379:methods; D005260:Female; D006801:Humans; D007676:Kidney Failure, Chronic / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D011673:Pulsatile Flow; D063177:Pulse Wave Analysis; D006435:Renal Dialysis / Q000295:instrumentation*; D012307:Risk Factors