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使用血清β-痕迹蛋白和β2-微球蛋白预测血液透析患者的残余肾功能。

Predicting residual kidney function in hemodialysis patients using serum β-trace protein and β2-microglobulin.

机构信息

Department of Nephrology, Lister Hospital, Hertfordshire, UK; University of Hertfordshire, Hertfordshire, UK.

Department of Nephrology, Lister Hospital, Hertfordshire, UK.

出版信息

Kidney Int. 2016 May;89(5):1090-1098. doi: 10.1016/j.kint.2015.12.042. Epub 2016 Feb 26.

DOI:10.1016/j.kint.2015.12.042
PMID:26924065
Abstract

Residual kidney function (RKF) contributes significant solute clearance in hemodialysis patients. Kidney Diseases Outcomes Quality Initiative (KDOQI) guidelines suggest that hemodialysis dose can be safely reduced in those with residual urea clearance (KRU) of 2 ml/min/1.73 m(2) or more. However, serial measurement of RKF is cumbersome and requires regular interdialytic urine collections. Simpler methods for assessing RKF are needed. β-trace protein (βTP) and β2-microglobulin (β2M) have been proposed as alternative markers of RKF. We derived predictive equations to estimate glomerular filtration rate (GFR) and KRU based on serum βTP and β2M from 191 hemodialysis patients based on standard measurements of KRU and GFR (mean of urea and creatinine clearances) using interdialytic urine collections. These modeled equations were tested in a separate validation cohort of 40 patients. A prediction equation for GFR that includes both βTP and β2M provided a better estimate than either alone and contained the terms 1/βTP, 1/β2M, 1/serum creatinine, and a factor for gender. The equation for KRU contained the terms 1/βTP, 1/β2M, and a factor for ethnicity. Mean bias between predicted and measured GFR was 0.63 ml/min and 0.50 ml/min for KRU. There was substantial agreement between predicted and measured KRU at a cut-off level of 2 ml/min/1.73 m(2). Thus, equations involving βTP and β2M provide reasonable estimates of RKF and could potentially be used to identify those with KRU of 2 ml/min/1.73 m(2) or more to follow the KDOQI incremental hemodialysis algorithm.

摘要

残余肾功能(RKF)可显著清除血液透析患者体内的溶质。肾脏疾病预后质量倡议(KDOQI)指南建议,对于残余尿素清除率(KRU)为 2ml/min/1.73m2 或更高的患者,可以安全地减少血液透析剂量。然而,RKF 的连续测量繁琐,需要定期进行透析间尿液采集。因此,需要更简单的方法来评估 RKF。β-痕迹蛋白(βTP)和β2-微球蛋白(β2M)已被提议作为 RKF 的替代标志物。我们基于 191 名血液透析患者的血清βTP 和β2M,通过常规透析间尿液收集,使用标准的 KRU 和 GFR(尿素和肌酐清除率的平均值)测量,推导出了预测方程来估计肾小球滤过率(GFR)和 KRU。我们在 40 名患者的独立验证队列中测试了这些模型方程。包含βTP 和β2M 的 GFR 预测方程比单独使用任何一个方程的预测效果都要好,且方程中包含 1/βTP、1/β2M、1/血清肌酐和性别因素。KRU 预测方程中包含 1/βTP、1/β2M 和种族因素。预测的 GFR 与实测 GFR 之间的平均偏差为 0.63ml/min,KRU 为 0.50ml/min。在 KRU 为 2ml/min/1.73m2 的截止水平下,预测值与实测值之间有很大的一致性。因此,涉及βTP 和β2M 的方程可以提供 RKF 的合理估计值,并且可以潜在地用于识别那些 KRU 为 2ml/min/1.73m2 或更高的患者,以遵循 KDOQI 增量血液透析算法。

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