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估计膜过率和大脑大动脉狭窄之间的关系:一个横截面研究的二次分析
Ran Song1, Yan Kong2, Su-Juan Liu1
1Department of Radiology, The First Affiliated Hospital of Xinxiang Medical University, Weihui/Xinxiang, China.
Frontiers in medicine
|February 9, 2026
概括
通过估计的膜过率 (eGFR) 测量较高的功能,与较低的大脑动脉狭窄症 (LCAS) 的几率有关. 这表明功能可能是中风风险标志物,但需要进一步验证.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 神经学 神经学
- 心血管医学 心血管医学
背景情况:
- 大脑动脉狭窄 (LCAS) 是已知的缺血性中风的危险因素.
- 功能,特别是估计的膜过率 (eGFR) 和LCAS之间的关系尚未得到充分理解.
研究的目的:
- 调查eGFR与LCAS在无症状成年人中的存在之间的关联.
- 探索这种关联中的潜在剂量反应关系和子组差异.
主要方法:
- 一项涉及1011名年龄≥45岁的韩国成年人的横截面研究的二次分析.
- 使用CKD-EPI 2009方程计算的eGFR;LCAS被MRA定义为≥50%的狭窄.
- 用于分析的多变量逻辑回归和通用添加模型,并对混因素进行调整.
主要成果:
- 较高的eGFR独立地与较低的LCAS几率相关 (OR=0.99每1mL/min/1.73m2增加).
- 与最低的三位数 (OR=0.61) 相比,最高的eGFR三位数显示LCAS的风险降低了39%.
- 在女性和他类药物使用者中观察到显著的关联,尽管相互作用效应是边界或无意义的.
结论:
- 在这个队列中,eGFR和LCAS之间存在关联.
- 功能可能作为LCAS的潜在风险标志物.
- 结果需要在不同人群和前性研究中进行验证,以确认对查策略的临床影响.
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