Abstract
PurposeTo investigate the long-term prognostic value of coronary CT angiography (cCTA)-derived plaque information on major adverse cardiac events (MACE) in patients with and without diabetes mellitus. Methods64 patients with diabetes (63.3±10.1 years, 66% male) and suspected coronary artery disease (CAD) who underwent cCTA were matched with 297 patients without diabetes according to age, sex, cardiovascular risk factors, statin and antithrombotic therapy. Major adverse cardiac events (MACE) were recorded. cCTA-derived risk scores and plaque measures were assessed. The discriminatory power to identify MACE was evaluated using multivariable regression analysis and concordance indices (CIs).ResultsAfter a median follow-up of 5.4 years, MACE occurred in 31 patients (8.6%). In patients with diabetes, cCTA risk scores and plaque measures were significantly higher compared to non-diabetic patients (all p<0.05). The following plaque measures were predictors of MACE using multivariable Cox regression analysis (hazard ratio [HR]) in patients with diabetes: segment stenosis score (HR 1.20, p<0.001), low-attenuation plaque (HR 3.47, p=0.05), and in non-diabetic patients: segment stenosis score (HR 1.92, p<0.001), Agatston score (HR 1.0009, p=0.04), and low-attenuation plaque (HR 4.15, p=0.04). A multivariable model showed significantly improved C-index of 0.96 (95% CI 0.94-0.0.97) for MACE prediction, when compared to single measures alone.ConclusionDiabetes is associated with a significantly higher extent of CAD and plaque features, which have independent predictive values for MACE. cCTA-derived plaque information portends improved risk stratification of patients with diabetes beyond assessment of obstructive stenosis on cCTA alone.
Prognostic Utility of Coronary CT Angiography-derived Plaque Information on Long-Term Outcome in Patients With and Without Diabetes mellitus
