Combining GFR and albuminuria to classify CKD improves prediction of ESRD

J Am Soc Nephrol. 2009 May;20(5):1069-77. doi: 10.1681/ASN.2008070730. Epub 2009 Apr 8.

Abstract

Despite the high prevalence of chronic kidney disease (CKD), relatively few individuals with CKD progress to ESRD. A better understanding of the risk factors for progression could improve the classification system of CKD and strategies for screening. We analyzed data from 65,589 adults who participated in the Nord-Trøndelag Health (HUNT 2) Study (1995 to 1997) and found 124 patients who progressed to ESRD after 10.3 yr of follow-up. In multivariable survival analysis, estimated GFR (eGFR) and albuminuria were independently and strongly associated with progression to ESRD: Hazard ratios for eGFR 45 to 59, 30 to 44, and 15 to 29 ml/min per 1.73 m(2) were 6.7, 18.8, and 65.7, respectively (P < 0.001 for all), and for micro- and macroalbuminuria were 13.0 and 47.2 (P < 0.001 for both). Hypertension, diabetes, male gender, smoking, depression, obesity, cardiovascular disease, dyslipidemia, physical activity and education did not add predictive information. Time-dependent receiver operating characteristic analyses showed that considering both the urinary albumin/creatinine ratio and eGFR substantially improved diagnostic accuracy. Referral based on current stages 3 to 4 CKD (eGFR 15 to 59 ml/min per 1.73 m(2)) would include 4.7% of the general population and identify 69.4% of all individuals progressing to ESRD. Referral based on our classification system would include 1.4% of the general population without losing predictive power (i.e., it would detect 65.6% of all individuals progressing to ESRD). In conclusion, all levels of reduced eGFR should be complemented by quantification of urinary albumin to predict optimally progression to ESRD.

MeSH terms

  • Acute Kidney Injury / blood
  • Acute Kidney Injury / classification
  • Acute Kidney Injury / physiopathology
  • Albuminuria / diagnosis*
  • Biomarkers
  • Creatinine / blood*
  • Disease Progression*
  • Female
  • Follow-Up Studies
  • Glomerular Filtration Rate*
  • Humans
  • Kidney Failure, Chronic / blood
  • Kidney Failure, Chronic / classification*
  • Kidney Failure, Chronic / epidemiology*
  • Kidney Failure, Chronic / mortality
  • Kidney Failure, Chronic / physiopathology
  • Male
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Risk Factors
  • Survival Analysis

Substances

  • Biomarkers
  • Creatinine