具有或没有代谢综合征的2型糖尿病病变的进展风险预测模型:一项回顾性队列研究
Yuan Fang1,2,3, Siyi Rao1,2,3, Yongjie Zhuo1,2,3
1Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Frontiers in endocrinology
|August 14, 2025
概括
代谢综合征 (MetS) 显著加快了2型糖尿病病 (T2DN) 的进展. 一个新的风险预测模型帮助临床医生进行个性化的T2DN患者管理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
- 生物统计学 生物统计学
背景情况:
- 2型糖尿病病 (T2DN) 是糖尿病的一个主要并发症.
- 代谢综合征 (MetS) 越来越被认为是T2DN进展的促成因素.
研究的目的:
- 开发T2DN进展的风险预测模型.
- 评估MetS对T2DN进展的影响.
主要方法:
- 对130名T2DN患者的回顾性分析.
- 卡普兰-梅尔生存分析和考克斯回归.
- 用于风险因素识别和模型构建的拉索回归.
- 用于模型评估的ROC曲线和C指数.
主要成果:
- 在MetS患者中,T2DN进展显著更高.
- 独立预测T2DN进展的MetS组件的数量.
- 开发的诺莫格拉姆模型表现出良好的预测准确性 (AUC>0.79) 和校准.
结论:
- MetS是T2DN进展的重要风险因素.
- 构建的预测模型可以帮助临床医生为T2DN患者做出个性化的医疗决策.
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