title: Comparison of estimated glomerular filtration rate (eGFR) using the MDRD and CKD-EPI equations for CKD screening in a large population.
abstract: OBJECTIVE
  recently, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) proposed a new equation for estimating glomerular filtration rate (eGFR), which could potentially replace the Modified Diet for Renal Disease Study (MDRD) equation in routine clinical use. Our aim was to evaluate the correlation between them and to compare the prevalence of each CKD stage using these two equations.
  
  
  METHODS
  we measured serum creatinine in 38,188 consecutive patients and calculated eGFR using the CKD-EPI and MDRD equations. We also compared the distribution of CKD stages for both equations.
  
  
  RESULTS
  there was very good correlation between eGFR estimated by CKD-EPI and MDRD at values < 60 ml/min × 1.73 m2, but not at higher values. Estimated prevalence of CKD (eGFR < 60 ml/min × 1.73 m2) was 5.9% with CKD-EPI and 7.5% with MDRD. Furthermore, the prevalence of CKD Stage 2 was lower with CKD-EPI (33.8% vs. 49.1%. with MDRD).
  
  
  CONCLUSIONS
  the use of the CKD-EPI equation results in a lower estimated prevalence of CKD, compared to the MDRD equation. This may have important implications for public health and clinical practice, as well as for future modification of guidelines for laboratories.
authors.affiliation: Dipartimento di Patologia Clinica, Vicenza, Italy. davide.giavarina@ulssvicenza.it
authors.forename: D
authors.initials: D
authors.lastname: Giavarina
authors.forename: D N
authors.initials: DN
authors.lastname: Cruz
authors.forename: G
authors.initials: G
authors.lastname: Soffiati
authors.forename: C
authors.initials: C
authors.lastname: Ronco
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D002908:Chronic Disease; D003404:Creatinine / Q000097:blood; D005260:Female; D005919:Glomerular Filtration Rate; D006305:Health Status Indicators; D006801:Humans; D007558:Italy / Q000453:epidemiology; D007668:Kidney / Q000503:physiopathology*; D007674:Kidney Diseases / Q000175:diagnosis* / Q000453:epidemiology / Q000503:physiopathology; D016014:Linear Models; D008297:Male; D008403:Mass Screening / Q000379:methods*; D008875:Middle Aged; D008954:Models, Biological; D011237:Predictive Value of Tests; D015995:Prevalence; D012720:Severity of Illness Index; D055815:Young Adult
chemical_list: D015415:Biomarkers; D003404:Creatinine