Associations of carotid artery intima-media thickness (IMT) with risk factors and prevalent cardiovascular disease: comparison of mean common carotid artery IMT with maximum internal carotid artery IMT.
Associations of carotid artery intima-media thickness (IMT) with risk factors and prevalent cardiovascular disease: comparison of mean common carotid artery IMT with maximum internal carotid artery IMT.
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DOI：
10.7863/jum.2010.29.12.1759
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
D'Agostino RB Sr
中科院分区：
文献类型：
--
作者：
Polak JF;Pencina MJ;Meisner A;Pencina KM;Brown LS;Wolf PA;D'Agostino RB Sr
本研究的目的是比较颈内动脉 (ICA) 内膜中层厚度 (IMT) 与颈总动脉 (CCA) IMT 作为心血管疾病 (CVD) 的总体标志物。对 Framingham Offspring 队列（n = 3316；平均年龄 58 岁；52.7% 女性）获取的超声图像进行了平均 CCA IMT 和最大 ICA IMT 的横断面测量。使用线性回归模型研究 Framingham 危险因素与 CCA 和 ICA IMT 的关联。使用多变量逻辑回归模型和受试者工作特征 (ROC) 曲线分析来比较流行的 CVD 与 CCA 和 ICA IMT 的关联，并确定敏感性和特异性。年龄与平均 CCA IMT 之间的关联相当于增加 0.007 毫米/年； ICA IMT 的增量为 0.037 毫米/年。 Framingham 风险因素分别占 CCA 和 ICA IMT 变异的 28.6% 和 27.5%。年龄和性别对 CCA IMT 变异性的影响为 23.5%，对 ICA IMT 变异性的影响为 22.5%，其次是 CCA IMT 的收缩压 (1.9%) 和 ICA IMT 的吸烟 (1.6%)。 CCA IMT 和 ICA IMT 是流行性 CVD 的统计显着预测因子，其中 ICA IMT 的 ROC 曲线下面积较大（0.756 与 0.695）。危险因素与 CCA 和 ICA IMT 的关联略有不同，两者均与流行的 CVD 独立相关。需要在结果研究中比较它们预测心血管事件的价值。
The goal of this study was to compare internal carotid artery (ICA) intima-media thickness (IMT) with common carotid artery (CCA) IMT as global markers of cardiovascular disease (CVD). Cross-sectional measurements of the mean CCA IMT and maximum ICA IMT were made on ultrasound images acquired from the Framingham Offspring cohort (n = 3316; mean age, 58 years; 52.7% women). Linear regression models were used to study the associations of the Framingham risk factors with CCA and ICA IMT. Multivariate logistic regression models and receiver operating characteristic (ROC) curve analysis were used to compare the associations of prevalent CVD with CCA and ICA IMT and determine sensitivity and specificity. The association between age and the mean CCA IMT corresponded to an increase of 0.007 mm/y; the increase was 0.037 mm/y for the ICA IMT. Framingham risk factors accounted for 28.6% and 27.5% of the variability in the CCA and ICA IMT, respectively. Age and gender contributed 23.5% to the variability of the CCA IMT and 22.5% to that of the ICA IMT, with the next most important factor being systolic blood pressure (1.9%) for the CCA IMT and smoking (1.6%) for the ICA IMT. The CCA IMT and ICA IMT were statistically significant predictors of prevalent CVD, with the ICA IMT having a larger area under the ROC curve (0.756 versus 0.695). Associations of risk factors with CCA and ICA IMT are slightly different, and both are independently associated with prevalent CVD. Their value for predicting incident cardiovascular events needs to be compared in outcome studies.
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