相关实验视频
Updated: Jul 9, 2025
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Assessment of Kidney Function in Mouse Models of Glomerular Disease
Published on: June 30, 2018
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评估使用proenkephalin的GFR
Remi Beunders1,2, Leslie J Donato3, Roger van Groenendael1,2,4
1Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Kidney international reports
|November 29, 2023
概括
一个新的基于proenkephalin (PENK) 的方程用于估计球过率 (eGFR) 显示了比传统基于肌素的方法更好的准确性. 这种新的生物标志物为监测不同患者群体的功能提供了更敏感的方法.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 生物标志物发现发现
- 临床化学 临床化学
背景情况:
- 目前对膜过率 (eGFR) 的估计依赖于肌素,这种生物标志物以其不敏感性和晚期检测功能障碍而闻名.
- 需要新的生物标志物来克服基于肌素的eGFR计算的局限性.
研究的目的:
- 开发和验证一种基于基素 (PENK) 的新式方程,用于估计淋巴细胞过率 (eGFR).
- 将基于PENK的eGFR方程与已建立的基于肌素的方程 (MDRD和CKD-EPI) 的性能进行比较.
主要方法:
- 一项国际多中心研究,涉及1354名患者 (稳定和危急病) 测量GFR (mGFR) 使用iohexol或iothalamate清除.
- 方程开发使用了一个通用线性模型与一个西格形非线性转移函数,并以数据驱动的方式选择共变量.
- 在一个验证集中,对偏差,精度和准确性 (P30) 的性能进行了评估,并与MDRD和CKD-EPI方程进行了比较.
主要成果:
- 基于PENK的方程包括PENK,肌和年龄,在不考虑性别或种族的情况下表现出卓越的表现.
- 与MDRD和2009年CKD-EPI相比,基于PENK的方程表现出明显较低的偏差,与2021年CKD-EPI相比,具有相似的偏差.
- 基于PENK的方程的精度 (P30) 为83%,明显高于MDRD (68%) 和2009年的CKD-EPI (76%),与2021年的CKD-EPI (80%) 相似.
结论:
- 基于proenkephalin (PENK) 的eGFR方程表现出与大多数基于肌素的方程相比的性能提升.
- 这种新奇的方程提供了一个更准确的,可能更早的功能评估,独立于性别或种族.
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