Study on the construction of arisk assessment model for type 2diabetes complications basedon GlycA and HDL1-TC

Impact Factor4.6

Journal:Frontiers in Endocrinology

Abstract: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.

Indexed by:Journal paper

Issue:17

Page Number:1814397

Translation or Not:no

Included Journals:SCI