title: Predictors of faster progression in chronic kidney disease.
abstract: OBJECTIVE
  To study the factors associated with faster progression in chronic kidney disease.
  
  
  METHODS
  A cohort study of CKD stage 2 to 4patients of the CKD clinic at Thungsong Hospital between 2008 and 2011 was done. At the end of the study, the patients were classified as faster or slower group according to rate of GFR decline. Apart from descriptive analysis, univariate and multivariate analysis were used to perform correlations analysis between rate of eGFR decline and each variable.
  
  
  RESULTS
  Two hundred three patients were enrolled andfollowed-up for three years. The average rate of eGFR decline (SD) was 2.25 (3.65) mL/min/1.73 m2 per year In univariate analysis, factors that correlated with rate of eGFR decline were systolic blood pressure (r = 0.155, p = 0.027), serum albumin (r = -0.172, p = 0.042), serum bicarbonate (r = -0.158, p = 0.046, age (r = -0.157, p = 0.025), and proteinuria (r = 0.276, p<0.001). Furthermore, logistic regression analysis revealed the strong predictors of faster progression were systolic blood pressure (OR = 1.025, 95% CI = 1.003-1.047, p = 0.025) and particularly, proteinuria (OR = 1.887, 95% CI = 1.325-2.688, p<0.001).
  
  
  CONCLUSIONS
  Among the factors that associated with faster eGFR decline, only systolic blood pressure and especially, proteinuria were powerful predictors of faster progression in chronic kidney disease.
authors.forename: Theerapon
authors.initials: T
authors.lastname: Sukmark
authors.forename: Supanun
authors.initials: S
authors.lastname: Sukmark
mesh_terms: D000368:Aged; D001794:Blood Pressure / Q000502:physiology*; D015331:Cohort Studies; D018450:Disease Progression; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011507:Proteinuria / Q000453:epidemiology* / Q000209:etiology; D051436:Renal Insufficiency, Chronic / Q000503:physiopathology*; D013997:Time Factors