evaluates the inflammatory status of internal tissues, through measurement of their temperatures. The aim of this study was to evaluate whether carotid artery MWR measurements show similar predictive accuracy with carotid ultrasound in multivessel CAD detection. Methods: Consecutive patients (n¼392) scheduled for coronary angiography were included in the study. Carotid arteries of all patients were evaluated with ultrasound and MWR. Maximal IMT value of both carotid arteries was assigned as IMTmax.Respectively, DTmax by MWR was assigned as the maximal value of the temperature differences (DT) of both arteries. Multivessel CAD was defined as the presence of !50% stenosis in !2 major epicardial vessels. We further considered two risk prediction models: 1) traditional risk factors (TRF -sex, age, smoking, dyslipidemia, arterial hypertension, diabetes mellitus and family history) plus IMTmax, and 2) TRF plus DTmax and compared them with the use of c-statistic.Results: Of 392 patients, 59 (15.10%) did not have significant CAD, while 136 (34.70%) had 1-vessel CAD, 130 (33.20%) had 2-vessel CAD and 67 patients (17.10%) had 3-vessel CAD. Patients with multivessel-CAD had higher DTmax compared with patients with 1-vessel or no CAD (1.00AE0.59 vs 0.72AE0.65 C, respectively, p< 0.001). DTmax was an independent predictor for the presence of multivessel CAD, when adjusted for TRF and IMTmax (p¼0.02, OR: 1.56, 95% CI 1.08-2.23). The risk prediction models TRF+DTmax and TRF+IMTmax showed similar predictive capacity for the presence of multivessel CAD (c-statistic¼0.706, 95% CI 0.655-0.757, p< 0.01 vs 0.707, 95% CI 0.656-0.759, p< 0.001, pdiffer. ¼ 0.91).Conclusions: The predictive value of DTmax was comparable to that of IMTmax.Thus, the noninvasive evaluation of functional carotid plaque characteristics could be useful in the prediction of the extent of coronary artery disease.
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