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在中老年和老年中国人群中,血赛斯塔丁C的纵向变化和全因死亡风险

Ying Zhang¹, Ling Zhang¹, Jie Xing¹

¹Department of Health Data Science, Anhui Medical University, Hefei, Anhui 230032, China.

Clinical biochemistry

|November 24, 2024

概括

随着时间的推移,追踪酸C水平的变化改善了中国老年人死亡风险的预测. 动态监测Cystatin C提供了比单独的基线测量更好的风险分层.

科学领域:

老年学是一门学科.
生物标志物生物标志物
流行病学流行病学

背景情况:

血中cystatin C的升高与中年和老年中国人的较高死亡率有关.
基线赛斯他C水平预测死亡风险.

研究的目的:

为了研究是否跟踪Cystatin C的纵向变化可以改善死亡风险预测.
评估动态的赛斯塔丁C监测是否增强了风险分层.

主要方法:

分析了来自中国健康与退休长度研究的3195名参与者,其中包括两次Cystatin C测量.
使用多变量考克斯比例危险模型和卡普兰-梅尔曲线.
限制性立方线分析了Cystatin C和死亡率之间的非线性关系.

主要成果:

较高的基线Cystatin C与增加的死亡风险相关 (HR: 1.51).
包括纵向变化在内显著加强了相关性 (HR: 1.81).
动态监测改善了预测性能 (一致性指数从0.745到0.839,AUC从0.751到0.845).

结论:

动态监测Cystatin C的变化可以提高死亡风险的预测.
整合纵向的Cystatin C数据提供了显著的风险分层优势.
这种方法对中年和老年人群有价值.

关键词:

所有原因的死亡率.中国健康与退休长度研究纵向生物标志物是一种生物标志物.血囊素 C 是一种血囊素.有限制的立方线.

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