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Abstract Objective To explore the application of noninvasive arteriosclerosis detection method and color ultrasound in diagnosing early arteriosclerosis among patients with type 2 diabetes. Methods One hundred and twenty patients with type 2 diabetes(diabetes group) and homochronous 100 healthy controls(control group) were enrolled in our study. Angeial color Doppler ultrasound technique was utilized in detecting the intimamedia thickness(IMT) of the common carotid arteries while arteriosclerosis detector was applied in measuring the brachialankle pulse wave velocity(baPWV) and toebrachial index(TBI). Analysis and evaluation of risk factors was made based on the measured data. Results The differences of measured baPWV, TBI and IMT were all statistically significant between the two groups(P<0.05). Multiple linear regression analysis showed that low(high)density lipoprotein cholesterol, uric acid and systolic blood pressure were risk factors for abnormal IMT; age, systolic blood pressure and blood sugar were risk factors for abnormal baPWV; age, systolic blood pressure and blood sugar were independent risk factors for abnormal TBI while highdensity lipoprotein cholesterol was a protective factor for TBI. Conclusion The severity of early peripheral arteriosclerosis in patients with type 2 diabetes can be predicted with a combined application of noninvasive arteriosclerosis detection indexes and IMT measured by angeial ultrasound technique. It is fit for clinical promotion and application for its convenience, noninvasiveness and good repeatability.
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