对心血管疾病死亡率的九个生物年龄指标的关联和预测值:从两个前性队列研究中进行查和验证
Solim Essomandan Clémence Bafei1, Hankun Xie1, Song Yang2
1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu, 211166, China.
GeroScience
|September 12, 2025
概括
生物年龄测量比时间年龄更准确地预测死亡风险. 克莱梅拉和杜巴尔方法2 (KDM2) 衍生的三角年龄显示了与心血管疾病死亡和全因死亡率的最强相关性.
科学领域:
- 老年学是一门学科.
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 生物年龄 (BA) 与时间年龄相比,更准确地反映了衰老过程.
- 现有的BA措施需要对其关于死亡结果的预测能力进行评估.
研究的目的:
- 评估9个生物年龄指标对死亡率的关联和预测值.
- 确定生物年龄,特别是三角洲年龄 (DA),是否可以改善心血管疾病 (CVD) 和全因死亡的风险预测.
主要方法:
- 利用了 Yixing 队列研究 (YCS) 的数据进行开发,以及 Jurong 队列研究 (JCS) 的数据进行外部验证.
- 计算的德尔塔年龄 (DA) 是生物年龄和时间年龄之间的差异.
- 采用考克斯的比例危险模型和受限立方线分析来评估死亡率关联和剂量反应关系.
主要成果:
- 从克莱梅拉和杜巴尔方法2 (KDM2) 衍生出的DA在两个队列中显示出与心血管疾病死亡和全因死亡率的最强相关性.
- 将基于KDM2的DA纳入传统的风险因素模型显著改善了心脏病死亡的预测,由净重新分类改进 (NRI) 和综合歧视改进 (IDI) 证明.
结论:
- 基于KDM2的衰老测量作为一种有价值的工具,用于识别患有心血管疾病事件和全因死亡率高风险的个体.
- 生物年龄测量,特别是KDM2衍生的DA,增强了风险分层,超出了传统因素.
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