Plaque characteristics and parameters derived from coronary computed tomography angiography for predicting major adverse cardiovascular events in patients with and without diabetes

Key Points

• Patients with diabetes show effective MACE risk assessment using a combination of CACS and LAP,
• While PR is identified as a stronger predictor of MACEs specifically for patients without diabetes,
• CT-derived parameters play a vital role in evaluating cardiovascular risk across different patient groups,
• Results indicate that tailored approaches based on diabetes status may enhance predictive accuracy for MACEs.

Abstract