Vascular stiffness in incident peritoneal dialysis patients over time

Autor: Adeera Levin, Mila Tang, Monica Beaulieu, Ognjenka Djurdjev, Paul Taylor, Alexandra Romann, Mhairi K. Sigrist, G. Chiarelli, Suneet Singh
Rok vydání: 2012
Předmět:
Zdroj: Clinical Nephrology. 78:254-262
ISSN: 0301-0430
Popis: OBJECTIVE Vascular stiffness is prevalent in end-stage renal disease patients and predicts adverse events. This study describes the prevalence of vascular stiffness and its associated factors in a cohort of incident peritoneal dialysis (PD) patients. METHODS In a prospective observational study of 50 patients, carotid-femoral pulse wave velocity (PWV) were conducted at baseline, 3, 6 and 12 months after initiation of PD. Aortic calcification scores (ACS) were derived using plain lateral abdominal films. We examined the association of significant changes in PWV (defined as 1 m/s or 15% change from baseline) over 6 months in conjunction with demographic and clinical data. RESULTS The mean age was 58 years, 67% were male, and 48% were Caucasian. One third was diabetic, and 23% had pre-existing cardiovascular disease. Median eGFR was 8.7 ml/ min. ACS was strongly correlated with PWV (r = 0.62, p < 0.0001). Over 6 months, 42% demonstrated significant increases, while 23% demonstrated decreases in their PWV. Factors shown to be associated with increasing PWV were Caucasian race (OR = 4.50; CI: 0.97 - 20.83), higher phosphate (OR = 8.36; CI: 1.10 - 63.51) and a lower baseline PWV (OR = 0.67; CI: 0.45 - 0.99). Decrease in PWV was associated with the absence of calcium based phosphate binder usage (OR = 0.11; CI: 0.02 - 0.73). Changes in weight and PWV at 12 months were significantly correlated (p = 0.007, r = 0.57). CONCLUSION In this group of incident PD patients, we demonstrate a lower prevalence of vascular calcification than in hemodialysis patients, a correlation of calcification with PWV, and an important finding that PWV can change in either direction over a short period of time, which are associated with modifiable risk factors.
Databáze: OpenAIRE