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Coronary heart disease (CHD) is associated with large artery structure, stiffness and the presence or absence of plaque. And since the arterial wall is irregular and biologically heterogeneous, the standard deviation of Young's modulus (YM-std) may be a good predictor for coronary atherosclerosis. Thus, this study aimed to investigate which was the best predictor for CHD risk, carotid IMT, elasticity or plaque.
Sixty-nine patients at high risk of atherosclerosis (age 60.96 ± 7.14 years) and 122 patients with CHD (age 62.81 ± 8.01 years) were recruited into this study. Carotid IMT was measured by ultrasound radiofrequency-data technique. Carotid Young's modulus (YM) was measured by the vessel texure matching method, and YM-std was calculated.
Compared to non-CHD group, the CHD group showed an increase in carotid IMT (0.823 ± 0.21mm versus 0.725 ± 0.18mm, p=0.007), YM (855.48 ± 75.2kPa versus 752.74 ± 66.3kPa, p=0.006), and YM-std (174.46 ± 45.4kPa versus 126.56 ±33.8kPa, p=0.0001). In logistic regression analysis, YM-std (OR = 1.010; 95% CI = 1.004-1.016, p=0.002), carotid plaque (OR = 7.673; 95% CI = 2.381-24.722, p=0.001) and YM-std plus carotid IMT and plaque (OR = 0.992; 95% CI = 0.984-0.999) were independent indicator of CHD. YM-std plus carotid IMT and plaque model provided the most improvement in area under the receiver-operation characteristic curve (AUC), which increased from 0.653 (plaque only), 0.633 (carotid IMT only), 0.626 (YM only), 0.676 (YM-std only) to 0.737.
Carotid YM-std is a useful independent predictor of CHD. Combing YM-std plus carotid IMT and plaque can notably improve CHD risk prediction.