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ABSTRACT: Background
With the rising proportion of recipients with type 2 diabetes (T2D) undergoing simultaneous pancreas-kidney transplantation (SPK), cardiovascular complications remain the leading cause of post-transplant mortality. However, tools for the early prediction of cardiovascular risk are lacking. This study evaluated the predictive value of longitudinal triglyceride-glucose (TyG) index trajectories for long-term major adverse cardiovascular diseases events (MACE) after SPK.Methods
In this retrospective single-center study, 106 patients with T2D who underwent SPK were analyzed. Latent class mixed modeling was applied to categorize TyG index trajectories across four time points (pre-transplant baseline, 3/6/12 months post-transplant). Associations between trajectory patte
SUBMITTER: Zheng J
PROVIDER: S-EPMC12522864 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature