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估计的脉冲波速度和发生的慢性病:来自前队列和元分析的证据
Fan Zhang1, Yan Bai1, Liuyan Huang1
1Department of Nephrology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Diabetes research and clinical practice
|September 11, 2025
概括
估计较高的脉冲波速度 (ePWV) 与患慢性病 (CKD) 的风险增加有关. 这一发现表明,ePWV可以帮助识别患有CKD风险较高的人.
科学领域:
- 心血管科学 心血管科学
- 腎臟病學 (nephrology) 是一種醫學.
- 流行病学 流行病学
背景情况:
- 动脉硬,以脉冲波速度 (PWV) 表示,是心血管健康的标志物.
- 慢性病 (CKD) 是一个日益严重的公共卫生问题,具有显著的发病率和死亡率.
- 早期识别患有CKD风险的个体对于及时干预至关重要.
研究的目的:
- 检查估计的脉冲波速度 (ePWV) 与发生慢性病 (CKD) 的风险之间的关联.
- 评估ePWV作为CKD风险分层的潜在生物标志物的实用性.
主要方法:
- 对3240名年龄≥45岁且没有基线CKD的参与者进行了队列研究.
- 使用年龄和平均动脉压计算ePWV,并将其分类为三分之一.
- 对18项涉及209970名参与者的研究进行了元分析,以证实这些发现.
主要成果:
- 在平均9.0年的随访期间,494名参与者患有CKD.
- 较高的ePWV三角形在调整混因子后与发生CKD的风险增加有关.
- 每个ePWV标准偏差的增加都与42%更高的CKD风险相关 (HR=1.42),由元分析证实 (汇总HR=1.58).
结论:
- 较高的ePWV是事件CKD的独立预测器.
- 在临床环境中,ePWV可以作为早期CKD风险评估的有价值的非侵入性工具.
- 进一步的研究可以探索将ePWV集成到现有的CKD风险预测模型中.
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