Usefulness of sum of the thickness of plaque in the carotid artery for predicting the presence and the extent of the coronary artery disease in patients with type 2 diabetes mellitus without known coronary artery disease

Diabetes Res Clin Pract. 2012 May;96(2):111-8. doi: 10.1016/j.diabres.2011.11.019. Epub 2012 Feb 5.

Abstract

Aims: The usefulness of the sum of plaque thickness in the carotid artery (plaque score; PS), as a prediction of coronary artery disease (CAD) was investigated in patients with type 2 diabetes mellitus.

Methods: B mode ultrasonographic scanning of the carotid artery and multislice computed tomography (MSCT) coronary angiography were performed in 227 diabetic patients without known cardiac disease.

Results: The PS was useful to predict the presence of diseased [nonobstructive and obstructive] CAD (≧3 segments) and obstructive (≧50%) CAD with cut-off value of 3.5mm (area under curve: 0.745 and 0.782, respectively), according to a receiver operating characteristics curve analysis. A multivariate logistic analysis of baseline risk factors showed that the PS was independent risk factor for the prediction of diseased and obstructive coronary artery disease (R(2)=0.2165, p<0.0001 and R(2)=0.2265, p<0.0001, respectively). The PS was most significant predictor of the number of diseased and obstructive segments of the coronary artery in a multiple regression analysis (R(2)=0.2022, p<0.0001 and R(2)=0.2209, p<0.0001, respectively).

Conclusions: The PS in the carotid artery was useful for the prediction of the presence and the extent of CAD, and was most important as a screening test for the identification of a high risk group of asymptomatic diabetic patients.

MeSH terms

  • Aged
  • Carotid Intima-Media Thickness
  • Coronary Angiography
  • Coronary Artery Disease / diagnosis*
  • Coronary Artery Disease / diagnostic imaging*
  • Coronary Artery Disease / etiology
  • Diabetes Mellitus, Type 2 / complications
  • Diabetes Mellitus, Type 2 / diagnostic imaging*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multidetector Computed Tomography