生物年龄标志物与中风患病率的关联:来自横截面研究的见解
Xiao Zhang1, Zixuan Xing2, Yaohui Jiang3
1Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China; Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom; China International Neuroscience Institute (China-INI), Beijing, China.
Journal of the neurological sciences
|March 3, 2026
概括
生物年龄,即生理衰退的度量,比时间年龄更好地预测中风风险. 加快的生物衰老显著增加了中风风险和死亡率,这表明它在风险分层中的有用性.
科学领域:
- 老年学是一门学科.
- 心血管疾病流行病学
- 生物统计学 生物统计学
背景情况:
- 卒中是全球死亡和残疾的主要原因,随着年龄的增长,风险会升级.
- 生物衰老,反映生理衰退,可能提供优越的中风结果预测与时间表年龄相比.
- 生物衰老标志物在中风中的预后价值仍未得到充分研究.
研究的目的:
- 研究生物衰老标志物 (PhenoAge,BioAge,PhenoAgeAccel,BioAgeAccel) 与中风患病率之间的关联.
- 检查生物衰老标志物与中风后全因死亡率之间的关系.
- 评估生物衰老标志物对中风风险分层的预测性能.
主要方法:
- 对37,832名NHANES参与者 (1999-2018) 进行了横截面分析.
- 生物衰老标志物使用既定算法计算;中风是自我报告的.
- 评估了与中风发病率和全因死亡率的关联,并将死亡率数据与NHANES文件联系起来.
主要成果:
- 芬诺年龄和生物年龄都与中风风险增加有显著联系 (芬诺年龄或1.04,生物年龄或1.01).
- 加速衰老 (PhenoAgeAccel,BioAgeAccel) 显著增加了中风风险 (OR > 1.35) 和所有原因的死亡率 (PhenoAgeAccel HR 3.18).
- 芬诺Age显示了高中风差别 (AUC=0.80).
结论:
- 生物年龄,特别是PhenOAge及其加速,显示了提高中风风险评估的巨大潜力.
- 这些标记物可能会改善中风患者的临床管理策略.
- 纳入生物年龄可能会导致更好的患者结果和降低死亡率.
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