AIM: We evaluated the performance of the @entity8 ( @entity8 ), @entity740 Epidemiology Collaboration (CKD-EPI) and Cockcroft-Gault (CG) equations against @entity1011 clearance (CrCl) to estimate glomerular filtration rate (GFR) in 51 @entity1 with @entity164  2 @entity6 . METHODS: The CrCl value was obtained from the average from two consecutive 24-h urine samples. Results were adjusted for body surface area using the Dubois formula. Serum @entity1011 was measured using the kinetic Jaffe method and was calibrated to standardized levels. Bland-Altman analysis and kappa statistic were used to examine agreement between measured and estimated GFR. RESULTS: Estimates of GFR from the CrCl, @entity8 , CKD-EPI and CG equations were similar (overall P  =  0.298), and @entity8 (r  =  0.58; 95% CI: 0.36-0.74), CKD-EPI (r  =  0.55; 95% CI: 0.33-0.72) and CG (r  =  0.61; 95% CI: 0.39-0.75) showed modest correlation with CrCl (all P  <  0.001). Bias was -0.3 for @entity8 , 1.7 for CKD-EPI and -5.4 for CG. All three equations showed fair-to-moderate agreement with CrCl (kappa: 0.38-0.51). The c-statistic for all three equations ranged between 0.75 and 0.77 with no significant difference (P  =  0.639 for c-statistic comparison). CONCLUSIONS: The @entity8 equation seems to have a modest advantage over CKD-EPI and CG in estimating GFR and detecting @entity8 in sub-Saharan African @entity1 with @entity164  2 @entity6 . The overall relatively modest correlation with CrCl, however, suggests the need for context-specific estimators of GFR or context adaptation of existing estimators. This article is protected by copyright. All rights reserved.

Performance of three glomerular filtration rate estimation equations in a population of sub-Saharan Africans with XXXX  2 @entity6 .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity8 :: ('MESH:D007674', 'Disease') :: ['MDRD', 'impaired renal function', 'Modification of Diet in Renal Disease'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity740 :: ('MESH:D051436', 'Disease') :: ['Chronic Kidney Disease'] @entity164 :: ('MESH:D017827', 'Disease') :: ['Type'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine']
@entity164 :: (MESH:D017827,Disease) :: ['Type']
