title: Effects of peritoneal dialysis and hemodialysis on arterial stiffness compared with predialysis patients.
abstract: OBJECTIVE
  Arterial stiffness is one of the major complications in chronic kidney disease. In this study, we investigated the association between glomerular filtration rate (GFR) and arterial stiffness in chronic kidney disease (CKD), and studied the effect of dialysis on arterial stiffness.
  
  
  METHODS
  A total of 62 stable continuous ambulatory peritoneal dialysis (CAPD) patients, 56 patients on maintenance hemodialysis, 128 predialysis CKD patients and 40 healthy controls were included into this study. These four groups were all nondiabetic and comparable in age and gender. The pulse wave velocity (PWV) and augmentation index (AIx) were evaluated by an applanation tonometry (SphygmoCor). Clinical data and lab tests were collected from inpatient case history and dialysis data base.
  
  
  RESULTS
  Female patients had higher AIx than male patients in both predialysis and dialysis patients. Both PWV and AIx were positively correlated with age, and were significantly higher in patients requiring antihypertensive drugs (p < 0.05). PWV and AIx were negatively correlated with GFR in predialysis CKD patients (p < 0.05). Patients on peritoneal dialysis or hemodialysis had better PWV and AIx than predialysis CKD 5 patients (19.8 ± 10.9%, 19.7 ± 9.4% vs. 25.3 ± 10.1%, p < 0.05), indicating that dialysis may improve arterial stiffness. No difference was found between peritoneal dialysis and hemodialysis patients.
  
  
  CONCLUSIONS
  This study demonstrates that arterial stiffness progresses with deterioration of renal function in CKD patients, and both peritoneal dialysis and hemodialysis can improve arterial stiffness in patients with uremia.
authors.affiliation: Department of Nephrology, Changzheng Hospital, Second Military Medical University, Shanghai, China.
authors.forename: L
authors.initials: L
authors.lastname: Yang
authors.forename: Y
authors.initials: Y
authors.lastname: Lin
authors.forename: C
authors.initials: C
authors.lastname: Ye
authors.forename: Z
authors.initials: Z
authors.lastname: Mao
authors.forename: S
authors.initials: S
authors.lastname: Rong
authors.forename: X
authors.initials: X
authors.lastname: Zhao
authors.forename: C
authors.initials: C
authors.lastname: Mei
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D001158:Arteries / Q000503:physiopathology*; D001794:Blood Pressure; D016009:Chi-Square Distribution; D002681:China; D004548:Elasticity; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D007676:Kidney Failure, Chronic / Q000150:complications / Q000503:physiopathology / Q000628:therapy*; D016014:Linear Models; D008297:Male; D008365:Manometry; D008875:Middle Aged; D010531:Peritoneal Dialysis, Continuous Ambulatory / Q000009:adverse effects; D011673:Pulsatile Flow; D006435:Renal Dialysis / Q000009:adverse effects; D018570:Risk Assessment; D012307:Risk Factors; D013997:Time Factors; D014652:Vascular Diseases / Q000209:etiology / Q000503:physiopathology / Q000517:prevention & control*