References of "Rule, Andrew"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailMDRD Versus CKD_EPI equation to estimate glomerular filtration rate in kidney transplant recipients
masson, Ingrid; Flamant, Martin; Maillard, Nicolas et al

in Transplantation (2013), 95(10),

Background. The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine-based equation was developed to address the systematic underestimation of the glomerular filtration rate (GFR) by ... [more ▼]

Background. The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine-based equation was developed to address the systematic underestimation of the glomerular filtration rate (GFR) by the Modification of Diet in Renal Disease (MDRD) Study equation in patients with a relatively well-preserved kidney function. The performance of the new equation for kidney transplant recipients is discussed. Methods. We analyzed the performances of the CKD-EPI equation in comparison with the MDRD Study equation in 825 stable kidney transplant recipients. Bias, precision, and accuracy within 30% of true GFR were determined. GFR was measured by urinary clearance of inulin (n=488) and plasma clearance of 51Cr-EDTA (n=337). Results. Mean measured GFR (mGFR) was 50T19 mL/min/1.73 m2. On the whole cohort, bias was significantly lower for MDRD Study equation compared with CKD-EPI creatinine. This superiority translates into a better accuracy (80% and 74% for the MDRD and CKD-EPI creatinine, respectively). The best performance of the MDRD Study equation is confirmed both in the subgroups of patients with mGFR G60 mL/min/1.73 m2 and between 60 and 90 mL/min/1.73 m2. For mGFR 990 mL/min/1.73 m2, there were no significant differences between the two equations in terms of performance. Conclusions. The CKD-EPI creatinine equation does not offer a better GFR prediction in renal transplant patients compared with the MDRD Study equation, even in the earlier CKD stages. [less ▲]

Detailed reference viewed: 14 (0 ULg)
Full Text
Peer Reviewed
See detailMDRD versus CKD-EPI equation to estimate glomerular filtration rate in kidney transplant recipients
Masson, Ingrid; Flamant, Martin; Maillard, Nicolas et al

in Transplantation (2013), 95(10), 1211-1217

Background. The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine-based equation was developed to address the systematic underestimation of the glomerular filtration rate (GFR) by ... [more ▼]

Background. The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine-based equation was developed to address the systematic underestimation of the glomerular filtration rate (GFR) by the Modification of Diet in Renal Disease (MDRD) Study equation in patients with a relatively well-preserved kidney function. The performance of the new equation for kidney transplant recipients is discussed. Methods. We analyzed the performances of the CKD-EPI equation in comparison with the MDRD Study equation in 825 stable kidney transplant recipients. Bias, precision, and accuracy within 30% of true GFR were determined. GFR was measured by urinary clearance of inulin (n=488) and plasma clearance of 51Cr-EDTA (n=337). Results. Mean measured GFR (mGFR) was 50T19 mL/min/1.73 m2. On the whole cohort, bias was significantly lower for MDRD Study equation compared with CKD-EPI creatinine. This superiority translates into a better accuracy (80% and 74% for the MDRD and CKD-EPI creatinine, respectively). The best performance of the MDRD Study equation is confirmed both in the subgroups of patients with mGFR G60 mL/min/1.73 m2 and between 60 and 90 mL/min/1.73 m2. For mGFR 990 mL/min/1.73 m2, there were no significant differences between the two equations in terms of performance. Conclusions. The CKD-EPI creatinine equation does not offer a better GFR prediction in renal transplant patients compared with the MDRD Study equation, even in the earlier CKD stages. [less ▲]

Detailed reference viewed: 18 (1 ULg)
Full Text
Peer Reviewed
See detailEstimating glomerular filtration rate in Asian subjects: where do we stand?
DELANAYE, Pierre ULg; CAVALIER, Etienne ULg; Mariat, Christophe et al

in Kidney International (2011), 80(5), 439-440

Detailed reference viewed: 15 (2 ULg)