Carotid artery Doppler ultrasonography in patients with chronic kidney disease

• Published in: Medical science monitor Vol. 20; pp. 11 - 17
• Main Authors: Salk, Ismail, Yildiz, Gursel, Egilmez, Hulusi, Atalar, Mehmet Haydar, Candan, Ferhan, Cetin, Ali
• Format: Journal Article
• Language: English
• Published: United States International Scientific Literature, Inc 07.01.2014
• Subjects: Adult; Analysis of Variance; Carotid Arteries - diagnostic imaging; Case-Control Studies; Diagnostic Techniques; Humans; Middle Aged; Polycystic Kidney, Autosomal Dominant - pathology; Renal Dialysis; Tunica Intima - diagnostic imaging; Ultrasonography, Doppler - methods
• ISSN: 1643-3750; 1234-1010; 1643-3750
• DOI: 10.12659/MSM.889857

We investigated the changes in the values of carotid intima-media thickness (IMT) and Doppler index measurements in the autosomal dominant polycystic kidney disease (ADPKD), peritoneal dialysis (PD), and hemodialysis (HD) patients. Twenty outpatients on HD (mean age 46.1 ± 16.4), 27 outpatients on PD (mean age 45 ± 12.4), and 26 normotensive outpatients with ADPKD (mean age 52.4 ± 16.7) as the case groups and 21 healthy subjects (mean age 48.4 ± 7.2), as the control group, were included. The participants underwent ultrasonography of the common, right, and left carotid arteries for the IMT and Doppler flow measurements. Overall, compared to the normal group, in the study groups, the IMT and peak systolic velocity (PSV), end-diastolic velocity (EDV), resistive index (RI), and pulsatility index (PI) were significantly higher in common carotid arteries; however, their differences were not meaningful in internal carotid arteries (p<0.05). Overall, ADPKD, PD, and HD increase the IMT, PSV, EDV, RI, and PI values of CCA; however, their effect considerable less on the study parameters of ICA. There is no considerable difference among the effects of ADPKD, HD, and PD on the study parameters. Of CKD patients during the first diagnostic and follow-up workups, the measurements of carotid IMT and Doppler indices may provide valuable data for improving success of the clinical management.