Longitudinal trajectories of the triglyceride-glucose index predict long-term major cardiovascular events in type 2 diabetes after simultaneous pancreas-kidney transplantation: a retrospective cohort study

Serial TyG index monitoring identified dynamic post-SPK metabolic risk patterns and distinguished high-risk subgroups for targeted interventions. Integrating TyG trajectories with clinical predictors enhances MACE risk stratification, thus offering a pragmatic tool for personalized cardiovascular prevention in T2D transplant recipients. These findings also suggest the potential utility of TyG trajectories in predicting kidney graft outcomes.