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中华医学超声杂志(电子版) ›› 2025, Vol. 22 ›› Issue (10) : 955 -961. doi: 10.3877/cma.j.issn.1672-6448.2025.10.008

外周血管超声影像学

颈动脉Plaque-RADS评分对冠状动脉狭窄程度的预测价值
浦仕枰1, 丁昱1,(), 卜锐1, 刘小永2, 高楚婷1, 史明媛1, 夏春娟1, 唐月月1   
  1. 1 650032 昆明医科大学第二附属医院超声医学科
    2 650032 昆明医科大学第二附属医院心血管内科
  • 收稿日期:2025-04-10 出版日期:2025-10-01
  • 通信作者: 丁昱
  • 基金资助:
    云南省科技厅“心脑同治”临床医学关键新技术研发(202203AC100007); 云南省 2023年科技厅联合专项(202301AY070001-145)

Predictive value of the Carotid Plaque Reporting and Data System for coronary artery stenosis

Shiping Pu1, Yu Ding1,(), Rui Bu1, Xiaoyong Liu2, Chuting Gao1, Mingyuan Shi1, Chunjuan Xia1, Yueyue Tang1   

  1. 1 Department of Ultrasound, The Second Affiliated Hospital of Kunming Medical University, Kunming 650032, China
    2 Department of Cardiovascular Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming 650032, China
  • Received:2025-04-10 Published:2025-10-01
  • Corresponding author: Yu Ding
引用本文:

浦仕枰, 丁昱, 卜锐, 刘小永, 高楚婷, 史明媛, 夏春娟, 唐月月. 颈动脉Plaque-RADS评分对冠状动脉狭窄程度的预测价值[J/OL]. 中华医学超声杂志(电子版), 2025, 22(10): 955-961.

Shiping Pu, Yu Ding, Rui Bu, Xiaoyong Liu, Chuting Gao, Mingyuan Shi, Chunjuan Xia, Yueyue Tang. Predictive value of the Carotid Plaque Reporting and Data System for coronary artery stenosis[J/OL]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2025, 22(10): 955-961.

目的

探讨颈动脉斑块报告和数据系统(Plaque-RADS)预测冠状动脉狭窄程度的价值。

方法

回顾性纳入2022年10月至2024年10月因胸痛在昆明医科大学第二附属医院住院治疗的患者310例,根据Gensini积分将患者分为无狭窄组69例(0分)、轻度狭窄组83例(≤10分)、中度狭窄组80例(10分<Gensini积分<48分)及重度狭窄组78例(≥48分)。比较组间基线资料;采用单因素及多因素Logistic回归分析冠状动脉狭窄程度的独立危险因素;采用ROC曲线评估各项指标预测冠状动脉重度狭窄的效能。

结果

不同狭窄程度组间的基线数据(年龄、性别、糖尿病史、总蛋白、白蛋白等)及超声特征[Plaque-RADS评分、颈动脉内中膜厚度(CIMT)及Crouse积分]差异均有统计学意义(P均<0.05)。多因素Logistic回归分析结果显示,CIMT(OR=4.02;95%CI:1.13,14.26)、Crouse积分(OR=1.16;95%CI:1.03,1.31)、Plaque-RADS评分(3分:OR=2.89;95%CI:1.08,7.70;4分:OR=11.07;95%CI:3.02,40.50)及糖尿病史(OR=1.83,95%CI:1.07,3.13)是冠状动脉狭窄的独立危险因素(P均<0.05)。Plaque-RADS评分联合糖尿病史的ROC曲线下面积为0.790,优于各项单一指标,且Plaque-RADS评分的ROC曲线下面积优于CIMT和Crouse积分(0.773 vs 0.744、0.741)。

结论

Plaque-RADS评分联合糖尿病史可有效预测冠状动脉重度狭窄,其预测效能优于传统超声特征(CIMT及Crouse积分),为冠状动脉病变的早期评估提供了更全面的影像学依据。

Objective

To evaluate the predictive value of the Carotid Plaque Reporting and Data System (Plaque-RADS) for the severity of coronary artery stenosis and to explore its correlation with coronary atherosclerosis.

Methods

A total of 310 patients hospitalized for chest pain at the Second Affiliated Hospital of Kunming Medical University from October 2022 to October 2024 were retrospectively enrolled. Based on Gensini scores, the patients were divided into a no stenosis group (n=69, 0 points), a mild stenosis group (n=83, ≤10 points), a moderate stenosis group (n=80, 10–48 points), and severe stenosis group (n=78, ≥48 points). Baseline characteristics and ultrasound parameters, including Plaque-RADS score, carotid intima–media thickness (CIMT), and Crouse score, were compared among groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors associated with coronary artery stenosis. Receiver operating characteristic (ROC) curves were used to evaluate the predictive performance of each parameter.

Results

Significant differences were found among the four groups in terms of baseline data and ultrasound features (P<0.05). Multivariate logistic regression identified CIMT (odds ratio [OR]=4.02, 95% confidence itneval [CI]: 1.13–14.26), Crouse score (OR=1.16, 95% CI: 1.03–1.31), Plaque-RADS score (score 3: OR=2.89, 95%CI: 1.08–7.70; score 4: OR=11.07, 95%CI: 3.02–40.50), and diabetes mellitus (OR=1.83, 95%CI: 1.07–3.13) as independent predictors of coronary artery stenosis. The area under the ROC curve (AUC) of Plaque-RADS combined with diabetes history was 0.790, higher than that of any single parameter, and the predictive power of Plaque-RADS alone exceeded that of CIMT and Crouse score (AUC: 0.773 vs 0.744 and 0.741, respectively).

Conclusion

The Plaque-RADS score, especially when combined with diabetes history, can effectively predict severe coronary artery stenosis. Its predictive efficacy is superior to traditional ultrasound parameters such as CIMT and Crouse score, providing a more comprehensive imaging basis for the early assessment of coronary artery disease.

图1 颈动脉斑块报告和数据系统(Plaque-RADS)不同评分等级的超声声像图。图a为Plaque-RADS 1;图b为Plaque-RADS 2;图c为Plaque-RADS 3a;图d为Plaque-RADS 3b;图e为Plaque-RADS 3c;图f为Plaque-RADS 4a;图g为Plaque-RADS 4b;图h为Plaque-RADS 4c
表1 不同程度冠状动脉狭窄组患者基本临床资料比较
临床资料 无狭窄组(n=69) 轻度狭窄组(n=83) 中度狭窄组(n=80) 重度狭窄组(n=78) 统计值 P
年龄(岁,
±s
56.01±12.13 59.71±8.42 62.54±10.37 62.32±11.77 F=5.88 <0.001
性别[男,例(%)] 37(53.6) 40(48.2) 49(61.3) 57(73.1) χ2=11.39 <0.001
高血压史[例(%)] 29(42.0) 41(49.3) 42(52.5) 41(52.6) χ2=2.12 0.548
糖尿病史[例(%)] 12(17.4) 13(15.7) 11(13.8) 28(35.9) χ2=15.10 0.002
吸烟史[例(%)] 12(17.4) 16(19.3) 21(26.3) 26(33.3) χ2=6.57 0.087
饮酒史[例(%)] 10(14.5) 12(14.5) 13(16.3) 19(24.4) χ2=3.60 0.307
总蛋白(g/L,
±s
68.33±6.48 66.56±6.87 70.03±6.32 67.99±6.61 F=3.82 0.001
白蛋白(g/L,
±s
42.18±4.54 39.47±3.19 41.84±3.45 41.10±4.22 F=7.70 <0.001
球蛋白[g/L,MQ1Q3)] 26.00(23.30,29.80) 25.00(23.10,27.25) 27.55(24.58,29.70) 26.55(24.27,29.48) H=11.93 0.008
总胆固醇[mmol/L,MQ1Q3)] 4.39(3.72,5.53) 4.59(3.92,5.60) 5.25(4.40,6.08) 4.97(4.03,5.71) H=8.88 0.031
甘油三酯[mmol/L,MQ1Q3)] 1.73(1.13,2.18) 1.83(1.29,2.67) 1.57(1.12,2.49) 1.65(1.27,2.38) H=2.39 0.495
HDL-C(mmol/L,
±s
1.16±0.32 1.15±0.30 1.25±0.31 1.20±0.26 F=2.00 0.114
LDL-C(mmol/L,
±s
2.78±0.92 2.88±0.77 3.13±0.91 3.12±0.75 F=3.23 0.023
ALT[g/L,MQ1Q3)] 26.00(16.00,32.00) 21.00(16.50,30.00) 23.00(16.75,35.25) 20.00(15.00,29.00) H=2.96 0.398
AST[g/L,MQ1Q3)] 24.00(19.00,35.00) 25.00(22.00,40.00) 23.00(19.75,33.00) 23.00(18.00,27.75) H=8.07 0.045
载脂蛋白A1[g/L,MQ1Q3)] 1.28(1.12,1.47) 1.21(1.08,1.46) 1.38(1.23,1.49) 1.38(1.23,1.51) H=14.96 0.002
载脂蛋白B[g/L,
±s]
1.04±0.27 1.05±0.28 1.13±0.30 1.13±0.48 F=1.53 0.207
表2 不同程度冠状动脉狭窄组患者超声特征比较
表3 冠状动脉狭窄相关危险因素的多因素有序Logistic回归分析
表4 单一指标及联合指标预测冠状动脉重度狭窄的ROC曲线分析结果
图2 单一指标及联合指标预测冠状动脉重度狭窄的ROC曲线 注:CIMT为颈动脉内中膜厚度;Plaque-RADS为颈动脉斑块报告和数据系统;联合指标指Plaque-RADS评分联合糖尿病史;Reference为参考线
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