"C反应性蛋白三糖体葡萄糖指数与心血管疾病风险之间的关系:用机器学习进行横截面分析
Ruwen Zheng1, Tianyi Wang1, Min Liu2
1Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
BMC medical informatics and decision making
|November 19, 2025
概括
反应性C蛋白-三甘油-葡萄糖 (CTI) 指数与心血管疾病 (CVD) 的几率增加有关. 更高的CTI水平可能有助于识别现有的心血管疾病病例,特别是在年轻人中.
科学领域:
- 生物标志物和诊断方法
- 心血管健康 心血管健康
- 公共卫生研究 公共卫生研究
背景情况:
- 心血管疾病 (CVD) 仍然是全球主要的健康问题,需要有效的风险评估工具.
- 识别新的生物标志物对于早期发现和治疗心血管疾病至关重要.
- 这项研究重点关注C反应蛋白-三甘油-葡萄糖 (CTI) 指数作为潜在的CVD生物标志物.
研究的目的:
- 调查CTI指数与心血管疾病 (CVD) 的流行之间的关联.
- 评估CTI指数在CVD状态分类中的实用性.
- 用CTI指数评估机器学习模型在CVD风险分层中的表现.
主要方法:
- 从国家健康和营养检查调查 (1999-2020) 中对14899名参与者的分析.
- 利用回归分析,限制立方线和相互作用测试来检查CTI-CVD关系.
- 雇佣接收者运行特征曲线 (ROC),决策曲线分析,SHAP分析和各种机器学习模型进行风险评估.
主要成果:
- 一个单位的CTI增加与心血管疾病的可能性增加了18% (OR=1.18).
- 发现了与特定心血管疾病结局的显著关联,包括充血性心力衰竭,心脏病发作,冠心病,心痛和中风.
- 在机器学习模型中,CTI指数对CVD分类的贡献大于CRP或TyG,AUC>0.70.
结论:
- 较高的CTI水平与患心血管疾病的概率增加有关.
- CTI指数显示了作为识别现有心血管疾病的标志物的潜力.
- 建议进行进一步的纵向研究,以确认风险评估中的预测价值.
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