KONG Lingkun, LI Yayu, QU Qingxia, et al. Prediction of coronary atherosclerosis by ultrasound evaluation date of peripheral arterial plaque combined with conventional clinical risk factors[J]. Journal of Clinical Ultrasound in Medicine, 2020,22(8):566-570.
KONG Lingkun, LI Yayu, QU Qingxia, et al. Prediction of coronary atherosclerosis by ultrasound evaluation date of peripheral arterial plaque combined with conventional clinical risk factors[J]. Journal of Clinical Ultrasound in Medicine, 2020,22(8):566-570. DOI: 10.16245/j.cnki.issn1008-6978.2020.08.003.
ObjectiveTo evaluate the peripheral arterial plaque by ultrasound
and to explore the value of combining conventional clinical risk factors in predicting coronary atherosclerosis(CA).MethodsA total of 132 suspected CA patients in the department of cardiology of our hospital were enrolled
then they were divided into CA group(93 cases)and non-CA group(39 cases)according to coronary angiography.Ultrasound was used to detect the number of peripheral artery plaques in the two groups
and the plaque ultrasound grade score(PS)was calculated.The correlation between ultrasound evaluation date of peripheral arterial plaque and the Gensini score was analyzed.Adjusting conventional clinical risk factors
multiple Logistic regression was used to analyze the relationship between different ultrasound evaluation data and CA risk.Receiver operating characteristic(ROC)curve was drawn to evaluate the predictive effect of ultrasound evaluation data combined with clinical risk factors on CA and its degree.Results There were significant differences in the number of plaques in carotid artery
subclavian artery
abdominal aorta and lower extremity artery
and the PS of carotid artery and lower extremity artery between the two groups(all P<0.05).The number of plaques in above arteries
and the PS of carotid artery and lower extremity artery were positively correlated with the Gensini score(r=0.571
0.265
0.423
0.531
0.522
0.656
all P<0.05).The number of carotid plaques and lower extremity arteries PS showed the highest CA identification values(AUC=0.738
multiple Logistic regression analysis showed that there were no independent correlation between the number and PS of peripheral arterial plaques with risk of CA.The area under the ROC curve of ultrasound detection of peripheral arterial plaque combined with conventional clinical risk factors to predict CA risk and its degree were 0.868 and 0.823
respectively
which were higher than that of conventional clinical risk factors.ConclusionUltrasound evaluation of peripheral arterial plaque can reflect the existence and degree of CA.Adding ultrasound evaluation date of peripheral arterial plaque on the basis of conventional clinical risk factors can improve the accuracy of CA risk prediction.