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Comparison of GFR by Creatinine Clearance with Estimated GFR by Various Prediction Equations in a Bangladeshi Population

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Journal of Life Sciences 2012年第3期6卷 330-334页

作者： Muhammad Saiedullah Muhammad Rezwanur Rahman Md. Aminul Haque Khan Shoma Hayat shahnajbegum Department of Biochemistry ＆ Cell Biology Bangladesh Institute of Health Sciences （BillS） Dhaka 1216 Bangladesh Department of Biochemistry Delta Medical College Dhaka 1216 Bangladesh Department of Biochemistry Enam Medical College Dhaka 1340 Bangladesh

Glomerular filtration rate (GFR) is considered as the best marker of kidney function. Evaluation of various prediction equations to estimate GFR is rare in our population. The aim of this study was to compare GFR estimated by various prediction equations with GFR by creatinine clearance (GFRcr) in Bangladeshi population. Serum creatinine and 24 hours urinary creatinine concentrations were measured in 216 adult Bangladeshi subjects (100 males and 116 females). Creatinine clearance rate was calculated and adjusted for body surface area to obtain GFRcr. GFR was also calculated by CKD-EPI, MDRD4, Cockcroft-Gault, Jelliffe, Mawer, Bjornsson, Gates, Apollo-Chennai and Mayo Clinic prediction equations and compared with GFRcr. Results were expressed as mean ± SD and compared by two-tailed paired t-test, precision (r2) and receiver-operating characteristic curve. Mean ± SD of age of the total subjects was 57.15 ± 10.96 years. The mean GFRcr was 42.41 ± 22.95 mL/min/1.73m2. Estimated GFR (eGFR) by CKD-EPI, MDRD4, Cockcroft-Gault, Jelliffe 1, Jelliffe 2, Mawer, Bjornsson, Gates, Apollo-Chennai and Mayo Clinic prediction equations were 8.19 ± 13.80, 5.30 ± 13.61, 11.54 ± 16.86, 8.66 ± 18.64, 17.25 ± 19.98, 10.86 ± 22.48, 14.60 ± 17.92, 12.18 ± 16.42, 39.86 ± 21.96 and 20.47 ± 20.49 mL/min/1.73m2 higher than GFRcr (P < 0.001). The precision (r2) of eGFRs were 0.7114, 0.6924, 0.6431, 0.4802, 0.5048, 0.5921, 0.6286, 0.6158, 0.1635 and 0.5586 for CKD-EPI, MDRD4, Cockcroft-Gault, Jelliffe 1, Jelliffe 2, Mawer, Bjornsson, Gates, Apollo-Chennai and Mayo Clinic prediction equations, respectively. The area under receiver-operating characteristic curve was the lowest for MDRD4 equation. This study revealed that GFR estimated by standardized MDRD4 variables equation is closer to creatinine clearance rate in the study population.

关键词：肾小球滤过率预测方程孟加拉国尿肌酐清除率估计人口体表面积

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