Predictive value of carotid plaque reporting and data system for the severity of coronary artery stenosis
10.12025/j.issn.1008-6358.2026.20260248
- VernacularTitle:颈动脉斑块报告和数据系统对冠状动脉狭窄程度的预测价值
- Author:
Pei SUN
1
;
Hong HAN
2
;
Kailing CHEN
2
;
Yaqin ZHANG
2
;
Zitong CHEN
2
;
Peng CONG
2
;
Yikang SUN
2
;
Beijian HUANG
2
Author Information
1. Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
2. Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China;Shanghai Institute of Imaging Medicine, Shanghai 200032, China.
- Publication Type:Shortarticle
- Keywords:
carotid plaque;
plaque reporting and data system;
coronary artery stenosis;
prediction
- From:
Chinese Journal of Clinical Medicine
2026;33(5):872-879
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the predictive value of the classification of carotid plaque reporting and data system (Plaque-RADS) and ultrasound features for the severity of coronary artery stenosis. Methods This was a single-center prospective observational study. Patients with suspected coronary artery disease or at high cardiovascular risk, who were hospitalized in the Department of Cardiology of Zhongshan Hospital, Fudan University from July 2023 to June 2024, were consecutively enrolled and divided into mild-to-moderate stenosis group and severe stenosis group according to the degree of coronary artery stenosis. Clinical parameters, carotid ultrasound features, and Plaque-RADS classification were compared between the two groups. A multivariate logistic regression model was constructed, and its predictive performance was assessed using receiver operating characteristic curve. Results A total of 271 patients were included, with age of (65.49±9.44) years. The proportion of males, patients with diabetes and hyperlipidemia, and smokers was significantly higher in the severe stenosis group, accompanied by greater plaque thickness as well as lower maximum elasticity (Emax) and mean elasticity (Emean; P＜0.05). Statistically significant differences were also observed between the two groups in target plaque location, Plaque-RADS classification, and plaque stability distribution (P＜0.05). Specifically, type Ⅱ plaques predominated in the mild-to-moderate stenosis group, whereas the severe stenosis group had a higher proportion of type Ⅲ plaques and vulnerable plaques. Multivariate logistic regression analysis demonstrated that male, diabetes, and type Ⅲ–Ⅳ plaques were risk factors for severe coronary artery stenosis, while Emax served as a protective factor. The predictive model constructed by the above indicators exhibited favorable predictive performance (AUC＝0.838). Conclusions The combination of Plaque-RADS classification, Emax, sex, and comorbid diabetes has certain predictive value for the severity of coronary artery stenosis.
