综合的SHR和SIRI生物标志物预测了2型糖尿病中冠状动脉疾病风险的增加
Zixuan Guo1, Siqi Song1, Hao Cheng2
1Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China; Beijing Institute of Traditional Chinese Medicine, Beijing, China.
Biomolecules & biomedicine
|September 10, 2025
概括
压力高血糖比率 (SHR) 和全身炎症反应指数 (SIRI) 的结合显著改善了2型糖尿病 (T2DM) 患者冠状动脉病 (CHD) 的早期检测. 这种综合方法为识别高风险个体提供了更可靠的方法.
科学领域:
- 心血管医学 心血管医学
- 内分泌学 在内分泌学.
- 生物标志物发现发现
背景情况:
- 冠心病 (CHD) 是导致死亡的主要原因,而2型糖尿病 (T2DM) 患者面临高风险.
- 可靠的生物标志物对于早期发现心脏病和对T2DM患者风险分层至关重要.
研究的目的:
- 评估压力高血糖比率 (SHR) 和全身炎症反应指数 (SIRI) 的结合是否可以改善T2DM患者的CHD检测.
- 评估这种高风险人群中SHR和SIRI与CHD的独立和联合关联.
主要方法:
- 对943名T2DM患者进行冠状动脉血管造影的回顾性队列研究.
- 使用了多变量后勤回归,受限立方线,ROC分析和重新分类指标 (IDI,NRI).
- 通过启动链接进行内部验证,确保了调查结果的可靠性.
主要成果:
- 在T2DM患者中,SHR和SIRI都与CHD独立相关,显示出非线性关系.
- 与单独使用SHR (AUC=0.773) 或SIRI (AUC=0.745) 相比,合并的SHR-SIRI模型显示出更高的区分性能 (AUC=0.813).
- 组合模型显著改善了重新分类指标 (NRI和IDI),表明预测准确度提高.
结论:
- SHR和SIRI是T2DM中CHD的显著独立预测因素.
- SHR和SIRI的组合提供了一个强大的工具,可以提高T2DM患者中CHD的早期识别和风险分层.
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