Kanber B, Hartshorne T C, Horsfield M A, Naylor A R, Robinson T G, Ramnarine K V
Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Department of Vascular and Endovascular Surgery, University Hospitals of Leicester NHS Trust, Leicester, UK.
Ultraschall Med. 2015 Oct;36(5):480-6. doi: 10.1055/s-0034-1385462. Epub 2014 Nov 12.
The purpose of this study was to determine the efficacy of a novel ultrasound-based carotid plaque risk index (CPRI) in predicting the presence of cerebrovascular symptoms in patients with carotid artery stenosis.
This was a cross-sectional, observational study involving 56 patients (mean age 76.6 years, 62.5 % male). Plaque grayscale median (GSM) and surface irregularity indices (SII) were measured in 82 stenosed carotid arteries (range 10 - 95 %) and combined with the degree of stenosis (DOS) in the form of (DOS*SII)/(1 + GSM). A reduced index DOS/(1 + GSM) not incorporating plaque surface irregularities was also investigated. Receiver operating characteristic curves (ROC) were used to study the diagnostic efficacy of CPRI, comparing against DOS and an equivalent risk index constructed using a conventional logistic regression based method with model parameters optimized to the dataset (CPRIlogistic).
There were 42 stenosed carotid arteries with cerebrovascular symptoms, and 40 without symptoms. The presence of symptoms significantly correlated with DOS, GSM and SII (p < 0.01). The median CPRI of the symptomatic (asymptomatic) groups were 23.2 (9.2) compared with 0.71 (0.30) for CPRIlogistic (p < 0.01). The diagnostic performance of CPRI exceeded that of CPRIlogistic and DOS, and demonstrated a better separation of the symptomatic and asymptomatic groups.
Our novel risk index combines quantitative measures of carotid plaque echogenicity and surface irregularities with the degree of stenosis. It is a better predictor of cerebrovascular symptoms than the degree of stenosis and could be valuable in studies and clinical trials aimed at identifying vulnerable carotid artery stenoses.
本研究旨在确定一种基于超声的新型颈动脉斑块风险指数(CPRI)在预测颈动脉狭窄患者脑血管症状方面的疗效。
这是一项横断面观察性研究,纳入了56例患者(平均年龄76.6岁,男性占62.5%)。对82条狭窄的颈动脉(狭窄范围为10%-95%)测量斑块灰度中位数(GSM)和表面不规则指数(SII),并将其与狭窄程度(DOS)以(DOS*SII)/(1+GSM)的形式相结合。还研究了不纳入斑块表面不规则性的简化指数DOS/(1+GSM)。采用受试者操作特征曲线(ROC)研究CPRI的诊断效能,并与DOS以及使用基于传统逻辑回归方法构建的等效风险指数(CPRIlogistic,其模型参数针对数据集进行了优化)进行比较。
有42条狭窄的颈动脉出现脑血管症状,40条无症状。症状的出现与DOS、GSM和SII显著相关(p<0.01)。有症状(无症状)组的CPRI中位数分别为23.2(9.2),而CPRIlogistic为0.71(0.30)(p<0.01)。CPRI的诊断性能超过了CPRIlogistic和DOS,并且在有症状和无症状组之间表现出更好的区分度。
我们的新型风险指数将颈动脉斑块回声性和表面不规则性的定量测量与狭窄程度相结合。它比狭窄程度更能准确预测脑血管症状,在旨在识别易损颈动脉狭窄的研究和临床试验中可能具有重要价值。