在2型糖尿病患者中,开发和验证一种风险预测名图,用于动脉内膜-介质加厚
Yongqi Zheng1,2, Luni Tuo1,2, Jie Xiao1,2
1Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Acta diabetologica
|September 18, 2025
概括
一个新的名图预测了2型糖尿病 (T2DM) 中的动脉内心介质厚度 (CIMT) 加厚,使用常规因素和甘油三糖 (TyG) 指数. 该工具有助于临床医生识别高风险T2DM患者进行早期干预.
科学领域:
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
- 医疗信息学 医疗信息学
背景情况:
- Carotid intima-media 厚度 (CIMT) 是2型糖尿病 (T2DM) 中心血管风险的一个关键指标.
- 在T2DM中CIMT加厚的预测模型需要用新生物标志物来增强.
- 甘油三糖 (TyG) 指数正在成为代谢功能障碍和心血管风险的标志物.
研究的目的:
- 开发和验证用于预测T2DM患者CIMT加厚的诺米克图.
- 将TyG指数和其他临床参数纳入预测模型.
- 为临床医生提供一种工具,用于早期识别高风险T2DM个体.
主要方法:
- 对804名T2DM患者的回顾性分析.
- 使用最小绝对收缩和选择运算符 (LASSO) 和逐步回归来进行预测器选择.
- 评估了六种机器学习模型,根据AUROC选择了用于名ogram开发的最佳模型.
主要成果:
- 确定了年龄,BMI,吸烟,运动,HbA1c,HDL,LDL和TyG指数作为CIMT加厚的独立预测因素.
- 基于后勤回归的名图显示出强大的区分能力和良好的校准.
- 决策曲线分析证实了临床效用,SHAP分析强调年龄是最有影响力的因素.
结论:
- 一个经过验证的nomogram整合常规临床数据和TyG指数有效预测T2DM中CIMT加厚.
- 这种基于证据的工具有助于临床医生进行风险分层,并指导T2DM患者的早期干预.
- 该名图为T2DM患者群体中心血管风险管理提供了一种实用方法.
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