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基于囊素C和肌素的估计GFR差异:英国生物库的流行率和预测因素
Debbie C Chen1,2,3, Kaiwei Lu2,4, Rebecca Scherzer2,4
1Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Kidney medicine
|April 3, 2024
概括
在囊素C (eGFRcys) 和肌素 (eGFRcr) 之间,估计的球过率 (eGFR) 大差异是常见的. 人口,生活方式和健康因素显著影响这些eGFR差异.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 临床化学 临床化学
- 流行病学 流行病学
背景情况:
- 基于囊素C (eGFRcys) 和基于肌素 (eGFRcr) 的估计淋巴球过率之间的差异很常见.
- 了解导致这些差异的因素对于准确的临床解释至关重要.
研究的目的:
- 综合评估与显著的eGFR差异相关的社会人口统计学,生活方式,并发症和药物相关因素.
- 开发和验证用于识别具有不一致eGFR值的个体的预测模型.
主要方法:
- 来自英国生物银行的468,969名参与者的大型队列研究.
- 使用多项逻辑回归来确定较低的eGFRcys或较低的eGFRcr的预测因素,开发临床和丰富模型.
- 模型在数据的一个子集上进行了内部验证.
主要成果:
- 25%的参与者具有较低的eGFRcys,5%具有较低的eGFRcr. 较低EGFRcys的关键预测因素包括年龄,男性性别,南亚种族,吸烟,甲状腺功能障碍,炎症疾病,类固醇使用和肥胖.
- 较低的eGFRcr的预测因子与较低的eGFRcys.的预测因子大致相反.
- 丰富的模型在验证集中以良好的校准实现了0.75的AUC.
结论:
- 许多人口,生活方式和健康因素与实质性的eGFR差异有关.
- 临床模型可以帮助识别可能有不一致的eGFRs的个体,指导对囊素C测试的需求.
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