Patients with chronic kidney disease (CKD) have a higher risk of cardiovascular events than matched non-CKD individuals. The triglyceride-glucose (TyG) index is a calculated metric used to predict cardiometabolic risk. Although TyG is associated with cardiovascular events in CKD, its relationship with atherosclerotic burden remains unexplored. This study aimed to investigate this association using Mendelian randomization (MR)