title: Comparison of vascular calcification scoring systems using plain radiographs to predict vascular stiffness in peritoneal dialysis patients.
abstract: OBJECTIVE
  Vascular stiffness is associated with cardiovascular mortality in dialysis patients and related with vascular calcification and microvascular inflammation. The objective of this study is to compare predictability of two different vascular calcification scoring systems using plain radiographs in peritoneal dialysis (PD) patients.
  
  
  METHODS
  Vascular stiffness was represented by heart-to-femoral pulse wave velocity (hfPWV) in our 79 PD patients. Peripheral vascular calcification score (PVCS) and abdominal aortic calcification score (AACS) were measured from plain radiographs. Microvascular inflammation was represented by peritoneal protein clearance (PPC). Regression analysis and the receiver operating characteristic (ROC) curve analysis were used for analysis.
  
  
  RESULTS
  The hfPWV revealed correlation with PVCS and AACS independently. In the ROC curve analysis, area under the curve (AUC) of PVC score was 0.7119 (P = 0.006), and AUC of AACS were 0.6960 (P = 0.011). After multiple linear regression analysis, PVCS remained as a predictor of vascular stiffness (R(2) = 0.579, β = 0.210, P = 0.038). The combination of PVCS and PPC exhibited a trend toward better predictability for vascular stiffness (AUC 0.7738, P = 0.001) than any of the two parameters alone.
  
  
  CONCLUSIONS
  It is assumed that the PVCS system is more predictable for vascular stiffness in our study. Moreover, the combination of PVCS and PPC might be more useful as a screening test for vascular stiffness.
authors.affiliation: Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
authors.forename: Hajeong
authors.initials: H
authors.lastname: Lee
authors.forename: Young-Hwan
authors.initials: YH
authors.lastname: Hwang
authors.forename: Ji Yong
authors.initials: JY
authors.lastname: Jung
authors.forename: Ki Young
authors.initials: KY
authors.lastname: Na
authors.forename: Hyo Sang
authors.initials: HS
authors.lastname: Kim
authors.forename: Min-Jeong
authors.initials: MJ
authors.lastname: Son
authors.forename: Jae Yoon
authors.initials: JY
authors.lastname: Park
authors.forename: Eun Jin
authors.initials: EJ
authors.lastname: Cho
authors.forename: Curie
authors.initials: C
authors.lastname: Ahn
authors.forename: Kook-Hwan
authors.initials: KH
authors.lastname: Oh
mesh_terms: D000328:Adult; D001158:Arteries / Q000473:pathology* / Q000503:physiopathology; D015415:Biomarkers / Q000378:metabolism; D003430:Cross-Sectional Studies; D004548:Elasticity; D005260:Female; D006801:Humans; D007249:Inflammation / Q000175:diagnosis / Q000378:metabolism; D007676:Kidney Failure, Chronic / Q000000981:diagnostic imaging / Q000378:metabolism / Q000401:mortality / Q000628:therapy*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010530:Peritoneal Dialysis / Q000009:adverse effects / Q000401:mortality; D010537:Peritoneum / Q000378:metabolism; D010539:Permeability; D011237:Predictive Value of Tests; D011673:Pulsatile Flow; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D056910:Republic of Korea; D061205:Vascular Calcification / Q000000981:diagnostic imaging* / Q000401:mortality / Q000503:physiopathology
chemical_list: D015415:Biomarkers