Sentence examples for estimation of renal function from inspiring English sources
However, they provide better estimation of renal function than creatinine alone.
Preoperative estimation of renal function was obtained using CG, MDRD and MCQE equations.
In each SPC the recommended method for estimation of renal function as CrCl is Cockcroft-Gault.
14 15 Estimation of renal function is a surrogate for renal drug clearance.
This makes Cockcroft-Gault and GFR equations not interchangeable in the estimation of renal function.
However, important limitations to the estimation of renal function with creatinine should be considered.
Estimations of renal function were made by estimating glomerular filtration rate (GFR) with the abbreviated Modification of Diet in Renal Disease (aMDRD) formula (Levey et al, 1999).
Box 1 Estimations of renal function used in a cohort of elderly participants by two different equations: the Cockcroft-Gault (CG) equation with uncompensated P-creatinine (CGold) and the modification of diet in renal disease equation 4 (MDRD4) calculated with compensated creatinine traceable to isotope-dilution mass spectrometry.
Estimations of renal function used in a cohort of elderly participants by two different equations: the Cockcroft-Gault (CG) equation with uncompensated P-creatinine (CGold) and the modification of diet in renal disease equation 4 (MDRD4) calculated with compensated creatinine traceable to isotope-dilution mass spectrometry.
The choice of renal function estimation may be important because in patients with coronary artery disease and serum creatinine within normal range, CKD-EPI formula (Chronic Kidney Diseases Epidemiology Initiative) which was derived based on populations with vaster distribution of BMI, predicted long-term outcome more accurately, than MDRD equation [ 48].
Relating CL to CrCL did not result in a statistically significant change (dOFV = −0.9) with a highly imprecise covariate slope estimate (RS E130%), indicating that the available range of renal function did not allow estimation of this (expected) covariate relationship.
