种族术语在GFR估计中的含义用于预测冠状动脉干预后的AKI
Anezi Uzendu1, Kevin Kennedy1, Glenn Chertow2
1Cardiovascular Outcomes, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA; University of Missouri Kansas City, Kansas City, Missouri, USA.
JACC. Cardiovascular interventions
|September 27, 2023
概括
种族无关的膜过率 (GFR) 方程改善了经皮冠状动脉干预 (PCI) 后急性损伤 (AKI) 风险预测,特别是在黑人患者中. 这一进步有助于减少医疗保健方面的差异.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學.
- 健康 公平 卫生 公平
背景情况:
- 通过皮肤冠状动脉干预 (PCI) 后传统的急性损伤 (AKI) 预测使用了基于种族的膜过率 (GFR) 估计.
- 最近发展的种族不可知GFR方程旨在改善医疗预测中的公平性.
研究的目的:
- 为了比较各种GFR方程的准确性和影响,以预测PCI后的AKI.
- 评估基于种族的GFR估计对AKI风险预测模型的影响.
主要方法:
- 使用了国家心血管数据注册表 (NCDR) CathPCI数据从2020年.
- 开发了四个AKI风险模型,每位患者使用传统的GFR (包括种族),两个种族无关的GFR方程,单独使用血清肌氨酸.
- 将这些模型的预测性能与AKI开发进行比较.
主要成果:
- 分析包括455,806次PCI遭遇;8.5%是黑人患者.
- 基于种族的模型比基于种族的模型更好地对黑人患者进行校准.
- 种族无关的模型将6%的黑人患者重新归类为更高风险类别,从而有可能实现有针对性的干预.
结论:
- 将没有种族术语的GFR估计整合到NCDR AKI风险模型中,可以提高黑人患者的AKI风险预测准确度.
- 这种方法对减少医疗保健差异和改善风险分层和基准分析具有重大影响.
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