title: Influence of renal function and diet on acid-base status in chronic kidney disease patients.
abstract: OBJECTIVE
  We investigated the influence of potential renal acid load (PRAL) and renal function on the degree of metabolic acidosis in patients with chronic kidney disease (CKD).
  
  
  METHODS
  This was a cross-sectional study.
  
  
  METHODS
  This study was conducted at the Nephrology Outpatient Division of the Hospital Universitário Clementino Fraga Filho (Rio de Janeiro, Brazil).
  
  
  METHODS
  Thirty CKD patients undergoing conservative treatment were divided according to plasma HCO(3)(-) values into acidotic (HCO(3)(-) <or=22 mM, n = 15) and nonacidotic (HCO(3)(-) >22 mM, n = 15).
  
  
  METHODS
  Biochemical, nutritional, and anthropometric parameters and PRAL were measured.
  
  
  RESULTS
  The mean of plasma HCO(3)(-) values was 17.7 +/- 2.8 mM in the acidotic group, and 25.1 +/- 2.2 mM in the nonacidotic group. There was no significant difference in mean PRAL values between the acidotic (9.8 +/- 6.4 mEq/day) and nonacidotic (12.7 +/- 10.0 mEq/day) groups, but there was a significant correlation between plasma HCO(3)(-) and creatinine clearance (r = 0.78, P < .0001). Based on the receiver operating characteristic curve, the level of creatinine clearance to begin detection of acidosis was 31.8 mL/min, with a sensitivity and specificity of 86.7%.
  
  
  CONCLUSIONS
  The acid-base status of this group of CKD patients undergoing conservative treatment was mainly determined by degree of renal insufficiency rather than diet.
authors.affiliation: Division of Neprology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
authors.forename: Viviane O
authors.initials: VO
authors.lastname: Leal
authors.forename: Alvimar G
authors.initials: AG
authors.lastname: Delgado
authors.forename: Maurilo
authors.initials: M
authors.lastname: Leite
authors.forename: William E
authors.initials: WE
authors.lastname: Mitch
authors.forename: Denise
authors.initials: D
authors.lastname: Mafra
mesh_terms: D000136:Acid-Base Equilibrium / Q000502:physiology*; D000138:Acidosis / Q000378:metabolism*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000886:Anthropometry; D001639:Bicarbonates / Q000097:blood; D015415:Biomarkers / Q000378:metabolism; D001774:Blood Chemical Analysis; D003404:Creatinine / Q000378:metabolism* / Q000652:urine; D003430:Cross-Sectional Studies; D004032:Diet; D005260:Female; D006801:Humans; D007668:Kidney / Q000502:physiology; D007676:Kidney Failure, Chronic / Q000097:blood* / Q000378:metabolism; D007677:Kidney Function Tests / Q000379:methods; D008297:Male; D008875:Middle Aged; D009752:Nutritional Status; D012372:ROC Curve; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult
chemical_list: D001639:Bicarbonates; D015415:Biomarkers; D003404:Creatinine