Objective:To explore the predictive value of peripheral artery(carotid artery,femoral artery)plaque ultrasound combined with Framingham risk score for coronary atherosclerosis(CA).Methods:108 suspected cases of CA in the Department of Cardiology of our hospital were selected as the research object.Coronary angiography showed that 78 cases had coronary atherosclerosis(CA Group)and 30 cases had no coronary atherosclerosis(normal group).The clinical data of the two groups were compared,the clinical risk factors of CA were analyzed,and the total Framingham score was calculated.The peripheral arterial plaque ultrasonography(carotid artery,femoral artery)was performed in the two groups,and the plaque ultrasound grade score(PS)was calculated.The predictive efficacy of carotid artery PS,femoral artery PS,Framingham total score alone and in combination for CA were analyzed.Results:Compared with the normal group,the average age of CA Group was older,the smoking rate was higher,the HDL-C level was lower,the number of carotid plaque,subclavian artery plaque,abdominal aortic plaque and lower extremity artery plaque were significantly higher,and the carotid artery PS,femoral artery PS,Famingham score and Gensini total score were significantly higher(P＜0.05).The scores of carotid artery PS,femoral artery PS and Famingham in patients with CA were positively correlated with Gensini score(P＜0.05),and the correlation coefficient of femoral artery PS was the largest.The area under the curve(AUC)of carotid PS,lower extremity PS and Famingham score in the diagnosis of CA alone were 0.813(95％CI:0.608-0.940),0.823(95％CI:0.620-0.945)and 0.790(95％CI:0.700-0.979),respectively.The AUC value of three combined diagnosis of CA was 0.890(95％CI:0.700-0.979).The diagnostic efficiency of three combined diagnosis of CA was higher than that of three single diagnosis(P＜0.05).Conclusions:The peripheral artery(carotid artery,femoral artery)plaque ultrasound and Framingham score have certain diagnostic efficacy for CA,and the combination of the three can improve the accuracy of predicting CA.
维普
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