纵向的TyG-BMI轨迹预测了中国回顾性队列中动脉动脉样硬化进展的情况
Congling Wang1, Ying Xu1, Yongpeng Zhang1
1Department of Cardiology, Ningbo Medical Center Lihuili Hospital, Ningbo, China.
Frontiers in cardiovascular medicine
|December 15, 2025
概括
一个不断上升的甘油三-葡萄糖体重指数 (TyG-BMI) 轨迹独立地预测了动脉样硬化 (CAS) 的进展. 这突出了动态的TyG-BMI监测,用于识别具有较高血管风险的个体.
科学领域:
- 心血管疾病研究研究
- 代谢综合征研究 代谢综合征研究
- 血管健康监测 血管健康监测
背景情况:
- Carotid 动脉样硬化 (CAS) 是缺血性中风的主要原因.
- 胰岛素抵抗和代谢功能障碍是CAS的关键驱动因素.
- 三甘油-葡萄糖体重指数 (TyG-BMI) 是代谢功能障碍的潜在生物标志物.
研究的目的:
- 为了研究纵向TyG-BMI轨迹与CAS进展之间的关联.
- 评估动态TyG-BMI变化对血管风险的预测值.
主要方法:
- 对2329名中国成年人进行了一系列健康检查的回顾性队列研究.
- 隐藏类轨迹建模以识别不同的TyG-BMI模式 (稳定与上升).
- 多变量考克斯回归分析,以评估CAS进展的风险.
主要成果:
- 在46%的参与者中发生了CAS进展,在上升的TyG-BMI轨迹组 (52.9%) 中发生率更高.
- 上升的TyG-BMI轨迹独立地与增加的CAS进展风险相关 (aHR=1.19).
- 这种关联在年轻人 (≤50岁) 和女性中特别强烈.
结论:
- 纵向TyG-BMI轨迹为血管风险分层提供了宝贵的见解.
- 动态监测TyG-BMI可以帮助针对CAS制定有针对性的预防策略.
- 这项研究是首次对中国人群中CAS进展的纵向TyG-BMI轨迹进行大规模调查.
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