Lim Wai H, Lim Ee M, McDonald Stephen
Renal Unit, The Queen Elizabeth Hospital, Woodville, South Australia, Australia.
Nephrology (Carlton). 2006 Jun;11(3):250-6. doi: 10.1111/j.1440-1797.2006.00560.x.
Assessment of glomerular filtration rate (GFR) in individuals with normal-range serum creatinine is important in certain clinical situations, such as in potential living kidney donors. Accurate measurements of GFR invariably involve using an invasive method (e.g. inulin clearances), but is inconvenient. The aim of the present study was to determine whether serum creatinine-based prediction formulae adjusted for lean body mass (LBM) could improve the accuracy of GFR estimation in these subjects.
Glomerular filtration rate was determined by the clearance of technetium-99m-labelled diethylenetriamine penta-acetic acid ((99m)Tc DTPA) from plasma in 56 subjects with normal serum creatinine. For each subject, GFR was estimated using prediction formulae +/- LBM adjustment and compared with measured GFR. Formulae analysed include Cockcroft-Gault, Levey, Gates, Mawer, Hull, Toto, Jellife and Bjornsson.
All formulae +/- LBM adjustment underestimated measured GFR, with poor precision, poor agreement and correlation (r (2) <or= 0.25). Between 69% and 95% of the estimated GFR determined by the formulae correctly classified those with a normal measured GFR. LBM-adjusted formulae significantly improved the accuracy of GFR estimation compared with unadjusted formulae.
The lean body mass-adjusted Cockcroft-Gault formula was the closest to measured GFR but is not accurate enough to replace radionuclide GFR measurement. Prediction formulae should be adjusted for LBM to improve GFR estimation.
在某些临床情况下,如潜在的活体肾供体,评估血清肌酐在正常范围内个体的肾小球滤过率(GFR)很重要。准确测量GFR总是涉及使用侵入性方法(如菊粉清除率),但不方便。本研究的目的是确定针对瘦体重(LBM)调整的基于血清肌酐的预测公式是否能提高这些受试者GFR估计的准确性。
通过56名血清肌酐正常的受试者血浆中锝-99m标记的二乙三胺五乙酸((99m)Tc DTPA)的清除率来测定肾小球滤过率。对于每个受试者,使用预测公式±LBM调整来估计GFR,并与测量的GFR进行比较。分析的公式包括Cockcroft-Gault、Levey、Gates、Mawer、Hull、Toto、Jellife和Bjornsson。
所有公式±LBM调整均低估了测量的GFR,精度差、一致性和相关性差(r²≤0.25)。由公式确定的估计GFR中有69%至95%正确分类了测量GFR正常的受试者。与未调整的公式相比,LBM调整的公式显著提高了GFR估计的准确性。
瘦体重调整的Cockcroft-Gault公式最接近测量的GFR,但不够准确,无法替代放射性核素GFR测量。预测公式应针对LBM进行调整,以改善GFR估计。