血糖变化和全身免疫炎症指数:一种协同预测模型,用于2型糖尿病中心房动
Jing Zeng1, Chenhao Chen2, Yuxuan Tao1
1Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
QJM : monthly journal of the Association of Physicians
|November 21, 2025
概括
血糖变化 (GV) 和全身免疫炎症指数 (SII) 是2型糖尿病 (T2DM) 患者心房动 (AF) 的重要危险因素. 结合GV和SII可以改善T2DM的AF风险预测.
科学领域:
- 内分泌学 在内分泌学.
- 心脏病学 心脏病学
- 免疫学 免疫学 免疫学
背景情况:
- 2型糖尿病 (T2DM) 与心血管风险增加有关.
- 心房动 (AF) 是T2DM患者的常见并发症.
- 血糖变化 (GV) 和全身免疫炎症指数 (SII) 是新兴的风险因素.
研究的目的:
- 在T2DM患者中调查GV和SII与AF的关联.
- 评估GV和SII用于AF预测的联合诊断性能.
主要方法:
- 对1436名T2DM患者的回顾性分析.
- 使用多变量逻辑回归和受限立方线 (RCS).
- 进行了外部验证和决策曲线分析 (DCA).
主要成果:
- GV (OR: 2.13) 和SII (OR: 1.81) 是AF的独立风险因素.
- 在GV,SII和AF之间观察到非线性关系.
- 综合的GV-SII模型显示,与单个标志物相比,具有更高的区分能力 (AUC:0.812).
结论:
- 在T2DM中,GV和SII是AF的有价值预测因素.
- 结合的GV-SII模型增强了T2DM患者的AF风险识别.
- 这种方法有助于识别有针对性的干预的高风险个体.
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