作为大规模眼查的可扩展风险因素的ePWV:来自中国国家队列的证据
Yupeng Xu1, Zihan Yin1, Qiaoyun Gong1
1Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China.
Frontiers in cell and developmental biology
|November 12, 2025
概括
估计较高的脉冲波速度 (ePWV) 是动脉硬度的衡量标准,与中国老年人青光眼风险增加有关. 这一发现表明,ePWV可以加强青光眼查和早期检测工作.
科学领域:
- 眼科医生 眼科 眼科
- 心血管科学 心血管科学
- 公共卫生 公共卫生
背景情况:
- 动脉硬度,以估计的脉冲波速度 (ePWV) 表示,是一个重要的心血管风险因素.
- 玻璃眼是全球不可逆转失明的主要原因,需要有效的查方法.
研究的目的:
- 调查ePWV与中国队列中青光眼的发病率之间的关联.
- 评估ePWV作为一种潜在的群体级风险因子,用于眼查.
主要方法:
- 利用了来自中国健康和退休长度研究 (CHARLS) 的数据,其中包括11968名年龄≥45岁的成年人,在基线没有青光眼.
- 采用考克斯的比例危险模型,在7年的随访期内评估眼风险,分析四分位数和连续变量中的ePWV.
- 进行了子组和敏感性分析,以确认发现的稳定性,并探索剂量-反应关系.
主要成果:
- 与最低四分位数 (<8.01 m/s) 相比,EPWV最高四分位数 (≥10.58 m/s) 的参与者表现出眼风险增加39%.
- 每增加1m/s的ePWV与增加7%的玻璃眼风险相关,这表明了线性剂量-反应关系.
- 事实证明,ePWV比单独的年龄或血压更能预测青光眼的发生率.
结论:
- 升高的ePWV独立地与中年和老年中国成年人患青光眼的风险更高有关.
- 在传统风险因素之外,ePWV提供了对眼的增量预测价值.
- 将ePWV集成到人工智能驱动的查模型中可能会改善青光眼风险分层和早期检测.
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