在2型糖尿病患者中改善10年心血管风险预测,使用代谢药物
Ruijie Xie1,2, Teresa Seum1,2, Sha Sha1,2
1Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Cardiovascular diabetology
|January 13, 2025
概括
添加七个代谢生物标志物显著改善了2型糖尿病患者的心血管风险预测. 这种增强可以更准确地评估主要不良心血管事件 (MACE) 风险.
科学领域:
- 心血管疾病研究研究
- 代谢学 代谢学 代谢学
- 糖尿病是一种糖尿病.
背景情况:
- 2型糖尿病 (T2D) 患者患心血管疾病的风险较高.
- 目前的风险预测模型需要对T2D群体进行改进.
- 这项研究研究了使用代谢生物标志物增强心血管风险预测.
研究的目的:
- 评估代谢生物标志物对预测T2D患者10年内主要心血管不良事件 (MACE) 的影响.
- 为了确定是否添加特定的代谢物改善现有的风险预测模型.
主要方法:
- 利用了来自英国生物库 (UKB) 和德国ESTHER队列 (n=10,257和1,039名T2D患者) 的数据.
- 使用核磁共振 (NMR) 光谱测量了249种代谢物.
- 采用性别特定的LASSO回归来选择代谢物和Harrell的C指数来评估性能.
主要成果:
- 七个代谢生物标志物 (三个共享,三个男性特异性,一个女性特异性) 已被确定用于增强MACE预测.
- 专蛋白,omega-3脂肪酸百分比 (男性),乳酸 (女性) 显著改善了预测.
- 内部验证显示,C指数在统计学上显著增加 (0.660至0.678,P=0.037).
- 外部验证表明,C指数的更高,统计学上显著的增加 (+0.043,P=0.011).
结论:
- 结合七种代谢生物标志物显著提高了SCORE2-糖尿病模型在T2D患者中的MACE预测准确度.
- 随着最近的进展,NMR代谢学显示出临床常规整合的前景.
- 这些发现支持使用代谢学来改善糖尿病中心血管风险分层.
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