| Literature DB >> 24574625 |
V K Sharma1, P Dwivedi1, A K Dubey1.
Abstract
While increased serum phosphate concentration is a significant risk factor for vascular calcification, it is unclear whether serum phosphate is also a risk factor for increased arterial wall thickness in chronic kidney disease (CKD) patients. Using B-mode ultrasonography, we examined carotid intimal-medial thickness (CIMT) of CKD patients and analyzed risk factors for increased IMT with regard to the effect of serum phosphate. One hundred patients were enrolled (73 patients without diabetes, 27 patients with diabetes; 57 men, 43 women; age, 46.2 ± 15.3 years). CIMT of patients with diabetes was significantly greater than that of patients without diabetes (0.78 ± 0.250 versus 0.66 ± 0.178 mm; P < 0.0001). For the group of all patients, CIMT correlated strongly and significantly with serum phosphate (r = 0.911; P < 0.001). In multiple regression analysis serum phosphate level (β = 0.356; <0.0001) was found to be a significant independent risk factor for increased CIMT, in addition to other independent risk factors, including advanced age, higher systolic blood pressure, urinary albumin and the presence of diabetes (R2 = 0.956; P < 0.00001). In conclusion, high serum phosphate level is a significant and independent factor associated with advanced arteriosclerosis in CKD patients with and without diabetes in addition to advanced age.Entities:
Keywords: Carotid intimal-medial thickness; chronic kidney disease; diabetes; phosphate
Year: 2014 PMID: 24574625 PMCID: PMC3927184 DOI: 10.4103/0971-4065.125050
Source DB: PubMed Journal: Indian J Nephrol ISSN: 0971-4065
Patient clinical characteristics according to presence of diabetes
Clinical characteristics of all patients without and with diabetes
Distribution of mCIMT and number of patients as per CKD staging by Cockcroft-Gault formula
Multiple linear regression analysis of factors associated with CIMT
Figure 1Scatter diagram showing relationship between mCIMT and serum Phosphorus using multiple linear regression analysis