Carotid Doppler ultrasonography as a surrogate for coronary CT angiography to exclude subclinical coronary atherosclerosis in asymptomatic patients with a negative coronary calcium score

Comparison of Carotid Plaque Score and Coronary Artery Calcium Score for Predicting Cardiovascular Disease Events: The Multi-Ethnic Study of Atherosclerosis

BACKGROUND

Coronary artery calcium (CAC) predicts coronary heart disease (CHD) events better than carotid wall plaque presence; however, differences in the utility of CAC burden and carotid plaque burden across the spectrum of cardiovascular disease (CVD) events is unknown.

METHODS AND RESULTS

CVD, CHD and stroke/transient ischemic attack (TIA) events were evaluated prospectively in a multiethnic cohort without CVD at baseline. Carotid plaque score was determined by the number of ultrasound-detected plaques in the common, bifurcation, and internal carotid artery segments. CAC was detected by computed tomography. Predictive values were compared using Cox proportional hazards models, C-statistics, and net reclassification, adjusting for traditional CVD risk factors. At baseline, the 4955 participants were mean (SD) 61.6 (10.1) years old and 52.8% female; 48.9% had CAC >0 and 50.8% had at least 1 carotid plaque. After 11.3 (3.0) years of follow-up, 709 CVD, 498 CHD, and 262 stroke/TIA events occurred. CAC score compared to carotid plaque score was a stronger predictor of CVD (hazard ratio [HR], 1.78; 95% CI, 1.16-1.98; P<0.001 vs HR, 1.27; 95% CI, 1.16-1.40; P<0.001) and CHD events (HR, 2.09; 95% CI, 1.84-2.38; P<0.001 vs HR, 1.35; 95% CI, 1.21-1.51; P<0.001). CAC score and carotid plaque score were weak predictors of stroke/TIA. CAC score had better reclassification statistics than carotid plaque score, except for stroke/TIA, which had similar predictive values.

CONCLUSIONS

CAC score improved prediction, discrimination, and reclassification of CVD and CHD better than carotid ultrasound measures, although prediction and discrimination were similar for stroke/TIA.

Sonographic evaluation for predicting the presence and severity of coronary artery disease

PURPOSE

The aim of our study was to investigate the relationship between age, sex, obesity, nonalcoholic fatty liver disease (NAFLD), carotid intima-media thickness (CIMT), and both the presence and severity of coronary artery disease (CAD) and their predictive value for the presence and severity of CAD.

METHODS

Our study population consisted of 136 patients who underwent coronary angiography for various reasons. Gensini scoring was used to determine the severity of coronary atherosclerosis. Carotid intima-media thickness was estimated by carotid duplex ultrasound. Nonalcoholic fatty liver disease was diagnosed by abdominal ultrasonography. Body mass index (BMI) was calculated as kilograms divided by meters squared.

RESULTS

Coronary artery disease was detected in 74 patients (54%). In the whole group, patients with CAD had significantly higher CIMT measurements compared with those without CAD (0.93 [SD, 0.14] and 0.72 [SD, 0.12] mm, respectively, P < 0.001). Carotid intima-media thickness was correlated with BMI (P < 0.001, r = 0.453), age (P = 0.001, r = 0.389), and grade 2-3 NAFLD (P < 0.001, r = 0.356). In the multiple logistic regression model, CIMT (odds ratio, 1.189; 95% confidence interval, 1.122-1.261; P < 0.001) was the only independent predictor of the presence of CAD. In receiver operating characteristic curve analysis, optimal cutoff value of CIMT to predict the presence of CAD was found as greater than 0.75 mm with 93.2% sensitivity and 71% specificity. In CAD group patients, Gensini score was correlated with CIMT (P < 0.001, r = 0.604), grade 2-3 NAFLD (P < 0.001, r = 0.534), BMI (P < 0.001, r = 0.498), and age (P = 0.001, r = 0.385). In the multiple stepwise linear regression model, CIMT (β = 0.444, P < 0.001) and grade 2-3 NAFLD (β = 0.353, P < 0.001) were associated with severity of CAD.

CONCLUSIONS

Our data suggest that CIMT is a strong independent predictor for the presence and severity of CAD. Furthermore, moderate to severe hepatosteatosis is also significantly associated with the severity of CAD. Therefore, detection of CIMT and NAFLD by ultrasonography, which is a very cheap, safe, and noninvasive radiological modality, can be used to improve CAD risk prediction.