新的无种族eGFR方程的性能用于预测慢性病并发症:来自KNOW-CKD研究
Jaehee Koh1, Jihyun Yang2, Kyu-Beck Lee2
1Wang Internal Medicine Clinic, Gwangmyeong, Republic of Korea.
American journal of nephrology
|January 2, 2025
概括
新的无种族估计膜过率 (eGFR) 方程显示,与较旧模型相比,韩国成年人慢性病并发症的预测性能类似. 这些发现支持在临床实践中对这一群体使用更新的方程.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 流行病学 流行病学
- 临床医学 临床医学
背景情况:
- 美国国家脏基金会 (NKF) 和美国脏学会 (ASN) 在2021年推出了新的无种族估计膜过率 (eGFR) 方程.
- 在韩国慢性病 (CKD) 的成年人中,这些新型无种族的eGFR方程的临床实用性仍未得到充分研究.
研究的目的:
- 评估新的无种族eGFR方程在预测韩国成年人中CKD并发症的性能.
- 为了比较2021年CKD-EPI肌素和肌素-囊素C方程的预测准确度与旧模型.
主要方法:
- 对来自KNOW-CKD队列的1,727名参与者的分析.
- 对五种CKD并发症的评估:贫血,高血症,酸性化,高酸血症和高甲状腺功能障碍.
- 四个eGFR方程的比较:2009年的CKD-EPI肌素,2012年的CKD-EPI肌素-囊素C,2021年的CKD-EPI肌素,以及2021年的CKD-EPI肌素-囊素C.
主要成果:
- 在四个评估方程中,在CKD并发症 (连续或二分法) 与eGFR值之间的关联中没有观察到显著差异.
- 贫血的后勤模型在所有eGFR方程中显示了可比的C统计.
- 在ROC曲线下的交叉验证区域用于并发症的预测建模,在eGFR方程之间没有显著差异.
结论:
- 更新后的,不涉及种族的eGFR方程表现出与预测韩国CKD患者并发症的现有方程相当的性能.
- 这些发现表明,新的无种族eGFR方程可以在韩国人群中可靠地用于评估CKD进展和并发症.
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