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International Journal of NephrologyVolume 2014 2014, Article ID 837106, 9 pages

Research Article

Unidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay

Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay

Centro de Nefrología, Universidad de la República, Montevideo, Uruguay

Departamento Laboratorio de Patología Clínica at Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay

Department of Cardiovascular Sciences, Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, University of Leuven KU Leuven, Leuven, Belgium

Departamento de Métodos Cuantitativos, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay

Department of Epidemiology, Maastricht University, Maastricht, The Netherlands

Received 9 June 2014; Revised 31 July 2014; Accepted 8 August 2014; Published 24 August 2014

Academic Editor: Michael J. Ross

Copyright © 2014 Inés Lujambio et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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

scale between eGFRcys reference and eGFR derived from serum creatinine according to the Modification of Diet in Renal Disease eGFRmdrd or the Chronic Kidney Disease Epidemiology Collaboration equations eGFRepi or from both serum cystatin C and creatinine eGFRmix. Results. In all participants, eGFRmdrd, eGFRepi, and eGFRmix were, respectively, 9.7, 11.5, and 5.6 mL-min-1.73 m

higher than eGFRcys. The prevalence of eGFR <60 mL-min-1.73 m

was the highest for eGFRcys 21.8%, intermediate for eGFRmix 11.8%, and the lowest for eGFRmdrd 5.9% and eGFRepi 3.4%. Using eGFRcys 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. eGFRcys provides lower estimates, resulting in higher prevalence of eGFR <60 mL-min-1.73 m


Autor: Inés Lujambio, Mariana Sottolano, Leonella Luzardo, Sebastián Robaina, Nadia Krul, Lutgarde Thijs, Florencia Carusso, Ali



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