Open access
Aug 2026
Discovery and validation of a multi-protein panel for predicting non-fatal major adverse cardiovascular events in diabetic kidney disease
Plasma proteomics combined with machine learning identifies robust non-fatal MACE predictors in diabetic kidney disease patients and demonstrates favorable calibration in high-risk patients and yielded positive net clinical benefit across decision thresholds of 5% to 45%.
Li Jiang, Chieh Chien, Tian-Li Li et al.
· Frontiers in Endocrinology · 0 citations