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估算肾小球滤过率方程在评估肾移植功能中的应用:它们准确吗?

Utility of Estimated Glomerular Filtration Rate Equations in Assessing Renal Allograft Function: Are They Accurate?

机构信息

Department of Medicine, University of Malaya Medical Center, Kuala Lumpur, Malaysia.

Department of Medicine, University of Malaya Medical Center, Kuala Lumpur, Malaysia.

出版信息

Transplant Proc. 2022 Mar;54(2):329-334. doi: 10.1016/j.transproceed.2022.01.012. Epub 2022 Mar 3.

DOI:10.1016/j.transproceed.2022.01.012
PMID:35249735
Abstract

Creatinine clearance (CrCl) is more accurate than other methods when assessing renal allograft function, but it is inconvenient for patients. In clinical practice, renal allograft function is often estimated using estimated glomerular filtration rate (GFR) equations. This cross-sectional study compared agreement between CrCl and serum creatinine-based equations among renal transplant recipients (RTRs) attending a transplant clinic in a tertiary center. Six equations (Cockcroft-Gault, Walser's, Nankivell, abbreviated Modification of Diet in Renal Disease [MDRD], Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI], and European Kidney Function Consortium[EKFC]) were included in the analysis. The bias, precision, and accuracy of each equation were determined. Correlation analysis was performed by determining the correlation coefficient and plotting Bland-Altmann plots. A total of 165 subjects were included in this study. Mean serum creatinine was 112.03 ± 38.67 µmol/L, and mean CrCl was 58.44 ± 21.24 mL/min/1.73 m. Walser's equation showed strongest correlation, lowest bias, and highest accuracy of the proportion of estimated GFR falling within ±30% of CrCl, followed by the 4-variable MDRD equation. All 6 equations systematically underestimated GFR among RTRs. Walser's equation showed the best estimation of GFR, suggesting that it may be the formula of choice to estimate GFR among RTRs.

摘要

肌酐清除率(CrCl)在评估肾移植功能方面比其他方法更准确,但对患者来说不太方便。在临床实践中,常使用估算肾小球滤过率(GFR)方程来估算肾移植受者(RTR)的肾移植功能。本横断面研究比较了在一家三级中心的移植门诊就诊的 RTR 中 CrCl 与基于血清肌酐的方程之间的一致性。该分析纳入了 6 个方程(Cockcroft-Gault、Walser、Nankivell、简化肾脏病饮食改良公式(MDRD)、慢性肾脏病流行病学合作研究[CKD-EPI]和欧洲肾脏功能合作研究[EKFC])。确定了每个方程的偏差、精度和准确性。通过确定相关系数和绘制 Bland-Altman 图进行相关性分析。本研究共纳入 165 例受试者。血清肌酐的平均值为 112.03 ± 38.67 µmol/L,CrCl 的平均值为 58.44 ± 21.24 mL/min/1.73 m。Walser 方程的相关性最强,偏差最小,估计的 GFR 比例落在 CrCl ±30%范围内的准确性最高,其次是 4 变量 MDRD 方程。所有 6 个方程都系统地低估了 RTR 的 GFR。Walser 方程对 GFR 的估计最好,表明它可能是 RTR 中估计 GFR 的首选公式。

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