TY - JOUR
A1 - Al Wakeel, Jamal
A1 - Hammad, Durdana
A1 - Al Suwaida, Abdulkareem
A1 - Tarif, Nauman
A1 - Chaudhary, AbdulRauf
A1 - Isnani, Arthur
A1 - Albedaiwi, Waleed
A1 - Mitwalli, Ahmad
A1 - Ahmad, Shaik
T1 - Validation of predictive equations for glomerular filtration rate in the Saudi population
Y1 - 2009/12/1
JF - Saudi Journal of Kidney Diseases and Transplantation
JO - Saudi J Kidney Dis Transpl
SP - 1030
EP - 1037
VL - 20
IS - 6
UR - http://www.sjkdt.org/article.asp?issn=1319-2442;year=2009;volume=20;issue=6;spage=1030;epage=1037;aulast=Al
N2 - Predictive equations provide a rapid method of assessing glomerular filtration rate (GFR). To compare the various predictive equations for the measurement of this parameter in the Saudi population, we measured GFR by the Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault formulas, cystatin C, reciprocal of cystatin C, creatinine clearance, reciprocal of creatinine, and inulin clearance in 32 Saudi subjects with different stages of renal disease. We com-pared GFR measured by inulin clearance and the estimated GFR by the equations. The study included 19 males (59.4%) and 13 (40.6%) females with a mean age of 42.3 ± 15.2 years and weight of 68.6 ± 17.7 kg. The mean serum creatinine was 199 ± 161 μmol/L. The GFR measured by inulin clearance was 50.9 ± 33.5 mL/min, and the estimated by Cockcroft-Gault and by MDRD equations was 56.3 ± 33.3 and 52.8 ± 32.0 mL/min, respectively. The GFR estimated by MDRD revealed the strongest correlation with the measured inulin clearance (r= 0.976, P= 0.0000) followed by the GFR estimated by Cockcroft-Gault, serum cystatin C, and serum creatinine (r= 0.953, P= 0.0000) (r= 0.787, P= 0.0001) (r= -0.678, P= 0.001), respectively. The reciprocal of cystatin C and serum creatinine revealed a correlation coefficient of 0.826 and 0.93, respectively. Cockroft-Gault formula overestimated the GFR by 5.40 ± 10.3 mL/min in comparison to the MDRD formula, which exhibited the best correlation with inulin clearance in different genders, age groups, body mass index, renal transplant recipients, chronic kidney disease stages when compared to other GFR predictive equations.
ER -