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Background . Estimation of glomerular filtration rate (eGFR) from biomarkers has evolved and multiple equations are available to estimate renal function at bedside.  Methods . In a random sample of 119 Uruguayans (54.5% women; 56.2 years (mean)), we used Bland and Altman's method and Cohen's kappa statistic to assess concordance on a continuous or categorical (eGFR < 60  versus  ≥60 mL/min/1.73 m 2 ) scale between eGFR cys  (reference) and eGFR derived from serum creatinine according to the Modification of Diet in Renal Disease (eGFR mdrd ) or the Chronic Kidney Disease Epidemiology Collaboration equations (eGFR epi ) or from both serum cystatin C and creatinine (eGFR mix ).  Results . In all participants, eGFR mdrd , eGFR epi , and eGFR mix  were, respectively, 9.7, 11.5, and 5.6 mL/min/1.73 m 2  higher ( P  < 0.0001) than eGFR cys . The prevalence of eGFR <60 mL/min/1.73 m 2  was the highest for eGFR cys  (21.8%), intermediate for eGFR mix  (11.8%), and the lowest for eGFR mdrd  (5.9%) and eGFR epi  (3.4%). Using eGFR cys  as reference, we found only fair agreement with the equations based on creatinine (Cohen's kappa statistic 0.15 to 0.23).  Conclusion . Using different equations we reached clinically significant differences in the estimation of renal function. eGFR cys  provides lower estimates, resulting in higher prevalence of eGFR <60 mL/min/1.73 m 2 .

Estimation of Glomerular Filtration Rate Based on Serum Cystatin C versus Creatinine in a Uruguayan Population