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个人信息:Personal Information
主任技师
硕士生导师
教师拼音名称:zengxianfei
电子邮箱:
所在单位:医学院
学历:研究生(博士)毕业
性别:男
联系方式:13488356245
学位:博士学位
职称:主任技师
在职信息:在职
毕业院校:空军军医大学
Study on the construction of arisk assessment model for type 2diabetes complications basedon GlycA and HDL1-TC
点击次数:
影响因子:4.6
发表刊物:Frontiers in Endocrinology
摘要:Background: This study evaluated NMR-derived GlycA and lipoprotein subfractions for stratifying type 2 diabetes (T2DM) complication risk. Methods: A retrospective cross-sectional study included 228 adults with T2DM from two hospitals between January and December 2023. Clinical variables, the NMR-derived inflammatory markers GlycA and GlycB, and lipoprotein subfractions were analyzed. A stepwise logistic model was assessed by ROC analysis, Hosmer–Lemeshow test, bootstrap calibration, and decisioncurve analysis. Results: Age, diabetes duration, fasting plasma glucose, GlycA, and HDL1-TC were retained. The model showed good fit (c² = 7.141, P = 0.521), discrimination (AUC = 0.82, 95% CI: 0.756–0.873), calibration (MAE = 0.021), and higher net benefit than HbA1c/hs-CRP. Conclusions: A model integrating GlycA, HDL1-TC, and clinical factors showed good performance for T2DM complication risk stratification, but causal inferenceand temporal prediction cannot be established because of the crosssectional design.
论文类型:期刊论文
期号:17
页面范围:1814397
是否译文:否
收录刊物:SCI

