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Updated: Jun 25, 2026

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
Published on: November 29, 2024
Study on the construction of a risk assessment model for type 2 diabetes complications based on GlycA and HDL1-TC
Jinxin Kou1,2, Jingjing Tie3, Minjie Li4
1School of Medicine, Northwestern University, Xi'an, China.
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 decision-curve analysis.
Results:
Age, diabetes duration, fasting plasma glucose, GlycA, and HDL1-TC were retained. The model showed good fit (χ² = 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 inference and temporal prediction cannot be established because of the cross-sectional design.
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