Research Article

Development and Validation of Creatinine-Based Estimates of the Glomerular Filtration Rate Equation from 99mTc-DTPA Imaging in the Malaysian Setting

Table 1

Demographic and clinical characteristics.

VariablesAll patients (n = 187)Development cohort (n = 94)Validation cohort (n = 93) value

Age (years)55.3 ± 14.255.9 ± 14.154.7 ± 14.30.56
Gender (male)97 (51.9)46 (48.9)51 (54.8)0.41
Weight (kg)65 ± 1465 ± 1565 ± 130.52
Height (cm)158 ± 10159 ± 10158 ± 100.76
Body mass index (kg/m2)26.0 ± 5.425.9 ± 5.426.1 ± 5.40.54
Ethnicity0.36
 (i) Malay1165 (88.2)84 (89.4)81 (87.1)
 (ii) Chinese16 (8.6)9 (9.6)7 (7.5)
 (iii) Indian2 (1.1)0 (0)2 (2.2)
 (iv) Orang Asli2 (1.1)1 (1.1)1 (1.1)
 (v) Others2 (1.1)0 (0)2 (2.2)
99mTc-DTPA measured GFR (ml/min)40.6 ± 19.940.7 ± 20.140.4 ± 19.80.58
Plasma creatinine (μmol/l)124 (86–209)132 (86–214)117 (87–208)0.33
Estimated GFR by Cockcroft–Gault (eGFRCG) (ml/min)46.2 (28.5–72.6)45.2 (26.8–71.1)49.2 (31.1–72.8)0.34
Estimated GFR by MDRD (eGFRMDRD) (ml/min)49.4 (27.1–73.0)46.4 (24.9–66.7)50.8 (28.7–82.1)0.25
Estimated GFR by CKD-EPI (eGFRCKD-EPI) (ml/min)47.8 (26.0–74.7)46.8 (23.7–69.0)49.7 (28.2–85.8)0.24
Estimated GFR by the new equation (eGFRNE) (ml/min)43.0 ± 13.242.0 ± 13.243.9 ± 13.10.91

Data are expressed as mean ± SD, n (%), or median (lower quartile–upper quartile). BMI, body mass index; 99mTc-DTPA, Technetium-99m-diethylenetriaminepentaacetic acid, eGFR, estimated glomerular filtration; MDRD, Modification of Diet in Renal Disease; CKD-EPI, Chronic Kidney Disease-Epidemiology Collaboration; NE, new equation.