title: Serum fetuin-A levels, QT dispersion and P dispersion in dialysis patients.
abstract: BACKGROUND
  This study aims to find association of fetuin-A with serum lipids, QT dispersion (QT-d), and P dispersion (P-d) in dialysis patients.
  
  
  METHODS
  Fetuin-A serum levels were assessed in 50 dialysis patients.
  
  
  RESULTS
  Serum fetuin-A levels were significantly associated with QT-d (r = 0.289, p = 0.044), P-d (r = 0.39, p = 0.005), total cholesterol (r = 0.526, p = 0.000), low-density lipoprotein cholesterol (LDL-C) (r = 0.456, p = 0.00), triglyceride (r = 0.360, p = 0.011) and highly sensitive C-reactive protein (hsCRP) (r = -0.347, p = 0.030). In step-wise multiple regression analysis including being on hemodialysis (HD), presence of diabetes mellitus (DM), total cholesterol, LDL-C, triglycerides, hsCRP, only total cholesterol (b = 0.419, p = 0.03), and hsCRP (b = -0.316, p = 0.03) proved to be independent predictors of serum fetuin-A levels. QT-d showed a linear correlation with total cholesterol (r = 0.309, p = 0.029), LDL-C (r = 0.304, p = 0.038), P-d (r = 0.390, p = 0.005), and fetuin-A levels (r = 0.289, p = 0.044). In multiple regression analyses, the independent predictor of QT-d was being on HD (b = -0.417, p = 0.004), whereas total cholesterol, LDL-C, presence of DM, serum fetuin-A levels, and P-d had no independent effect on corrected QT (QT-C). Being on HD and age were important determinants of P-d whereas presence of DM, total cholesterol, LDL-C, fetuin-A, and QT-d had no independent effect on P-d.
  
  
  CONCLUSIONS
  Lower fetuin-A levels are associated with high hsCRP and low cholesterol levels in dialysis patients.
authors: Department of Biochemistry, Inonu University Medical Faculty, Malatya, Turkey.
authors: Mehmet Cagatay
authors: MC
authors: Taskapan
authors: Hulya
authors: H
authors: Taskapan
authors: Melda
authors: M
authors: Comert
authors: Ismail
authors: I
authors: Temel
authors: Julide
authors: J
authors: Yagmur
authors: Ozkan
authors: O
authors: Ulutas
mesh_terms: D000328:Adult; D000368:Aged; D002097:C-Reactive Protein / Q000032:analysis*; D002784:Cholesterol / Q000097:blood*; D008078:Cholesterol, LDL / Q000097:blood*; D004562:Electrocardiography; D005260:Female; D006801:Humans; D007668:Kidney; D007676:Kidney Failure, Chronic / Q000097:blood* / Q000503:physiopathology; D008055:Lipids / Q000097:blood*; D008297:Male; D008875:Middle Aged; D010530:Peritoneal Dialysis / Q000706:statistics & numerical data*; D012044:Regression Analysis; D006435:Renal Dialysis; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood*; D060749:alpha-2-HS-Glycoprotein / Q000032:analysis*
chemical_list: C556354:AHSG protein, human; D008078:Cholesterol, LDL; D008055:Lipids; D014280:Triglycerides; D060749:alpha-2-HS-Glycoprotein; D002097:C-Reactive Protein; D002784:Cholesterol