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在脏移植接受者中估计的膜过率方程:开发和验证研究
Marc Raynaud1, Solaf Al-Awadhi1, Ivana Juric2
1Université de Paris Cité, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, F-75015 Paris, France.
BMJ (Clinical research ed.)
|May 31, 2023
概括
一个新的不涉及种族的方程准确地估计了移植接受者的球过率 (GFR). 这种新奇的方程优于现有的无种族模型,改善了移植患者的GFR测量.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 移植 移植 移植 移植
- 生物统计学 生物统计学
背景情况:
- 精确估计膜过率 (GFR) 对于管理移植接受者至关重要.
- 当前的GFR方程在特定种群中可能存在局限性,需要开发定制方程.
研究的目的:
- 开发和验证一个新的无种族GFR方程,专门用于移植接受者.
- 将这个新方程的性能与已建立的GFR方程进行比较,包括MDRD,CKD-EPI 2009和无种族CKD-EPI 2021.
主要方法:
- 使用加法和乘法线性回归,开发了一个无种族的GFR方程.
- 该方程在开发队列上进行了训练,并在包括15489名脏移植接受者在内的17个国际队列中得到了验证.
- 使用P30 (估计GFR的比例在测量GFR的30%以内) 和正确的分类来评估性能.
主要成果:
- 新开发的无种族受体特异性GFR方程与无种族CKD-EPI 2021方程相比,表现显著改善.
- 该方程在外部验证队列中显示出高精度,P30值在73.0%至91.3%之间.
- 性能在各种亚群中保持稳健,包括不同的种族,性别,年龄和捐赠者类型.
结论:
- 一个新的,不涉及种族的GFR方程,用于脏移植接受者已经成功开发和验证.
- 与现有的无种族模型相比,这种方程提供了高精度和优越的性能,提高了该群体的GFR估计.
- 有一个在线工具可以使用基于肌水平,年龄和性别的新方程式来估计GFR.
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