A Clinical Retrospective Study on the Combined Use of Monocyte-to-Lymphocyte Ratio and Triglyceride-Glucose Index to Predict the Severity of Coronary Artery Disease

MLR and TyG index independently and jointly predict CAD severity, with the combined model enhancing diagnostic accuracy. Reflecting both inflammatory and metabolic dysfunction, this dual-marker approach offers a practical tool for CAD risk stratification, particularly in high-risk populations. Further multicenter studies are needed to validate these findings and examine additional biomarker combinations to refine CAD risk models.