Common carotid intima-media thickness does not add to Framingham risk score in individuals with diabetes mellitus: the USE-IMT initiative

Coronary and carotid atherosclerosis: how useful is the imaging?

The recent advancement of imaging modalities has made possible visualization of atherosclerosis disease in all phases of its development. Markers of subclinical atherosclerosis or even the most advanced plaque features are acquired by invasive (IVUS, OCT) and non-invasive imaging modalities (US, MRI, CTA). Determining plaques prone to rupture (vulnerable plaques) might help to identify patients at risk for myocardial infarction or stroke. The most accepted features of plaque vulnerability include: thin cap fibroatheroma, large lipid core, intimal spotty calcification, positive remodeling and intraplaque neovascularizations. Today, research is focusing on finding imaging techniques that are less invasive, less radiation and can detect most of the vulnerable plaque features. While, carotid atherosclerosis can be visualized using noninvasive imaging, such as US, MRI and CT, imaging plaque feature in coronary arteries needs invasive imaging modalities. However, atherosclerosis is a systemic disease with plaque development simultaneously in different arteries and data acquisition in carotid arteries can add useful information for prediction of coronary events.

Carotid atherosclerosis as a surrogate maker of cardiovascular disease in diabetic patients

Many studies have shown that carotid intima-media thickness (IMT) is associated with cardiovascular disease (CVD). Although it remains inconclusive whether assessment of carotid IMT is useful as a screening test for CVD in Japanese diabetic patients, a total of 271 patients (151 men aged 66 ± 10 (standard deviation) years and 220 women aged 71 ± 8 years) were divided into two groups based on the presence of CVD. We cross-sectionally assessed the ability of carotid IMT to identify CVD corresponding to treatment that was examined by receiver-operating characteristic (ROC) curve analyses. Among the 271 diabetic patients, 199 non-CVD and 72 CVD patients were examined. Multiple linear regression analysis using the presence of CVD as an objective variable showed that carotid IMT (β = 0.259, P < 0.001) as well as other confounding factors was a significant independent contributing factor. The ROC curve analysis showed that the best marker of CVD was carotid IMT, with an area under the ROC curve of 0.718 (95% confidence interval (CI), 0.650–0.785). The greatest sensitivity and specificity were obtained when the cut-off value of mean carotid IMT was set at 0.95 mm (sensitivity = 0.71, specificity = 0.60, and accuracy = 0.627). Our study suggests that carotid IMT may be useful for screening diabetic patients with CVD.