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颈动脉斑块总厚度对预测 2 型糖尿病无已知冠状动脉疾病患者冠状动脉疾病的存在及程度的价值。

Usefulness of sum of the thickness of plaque in the carotid artery for predicting the presence and the extent of the coronary artery disease in patients with type 2 diabetes mellitus without known coronary artery disease.

机构信息

Shin-Koga Hospital, Department of Diabetes and Endocrinology, Japan.

出版信息

Diabetes Res Clin Pract. 2012 May;96(2):111-8. doi: 10.1016/j.diabres.2011.11.019. Epub 2012 Feb 5.

Abstract

AIMS

The usefulness of the sum of plaque thickness in the carotid artery (plaque score; PS), as a prediction of coronary artery disease (CAD) was investigated in patients with type 2 diabetes mellitus.

METHODS

B mode ultrasonographic scanning of the carotid artery and multislice computed tomography (MSCT) coronary angiography were performed in 227 diabetic patients without known cardiac disease.

RESULTS

The PS was useful to predict the presence of diseased [nonobstructive and obstructive] CAD (≧3 segments) and obstructive (≧50%) CAD with cut-off value of 3.5mm (area under curve: 0.745 and 0.782, respectively), according to a receiver operating characteristics curve analysis. A multivariate logistic analysis of baseline risk factors showed that the PS was independent risk factor for the prediction of diseased and obstructive coronary artery disease (R(2)=0.2165, p<0.0001 and R(2)=0.2265, p<0.0001, respectively). The PS was most significant predictor of the number of diseased and obstructive segments of the coronary artery in a multiple regression analysis (R(2)=0.2022, p<0.0001 and R(2)=0.2209, p<0.0001, respectively).

CONCLUSIONS

The PS in the carotid artery was useful for the prediction of the presence and the extent of CAD, and was most important as a screening test for the identification of a high risk group of asymptomatic diabetic patients.

摘要

目的

研究 2 型糖尿病患者颈动脉斑块厚度总和(斑块评分;PS)作为预测冠状动脉疾病(CAD)的价值。

方法

对 227 例无已知心脏疾病的糖尿病患者进行颈动脉 B 型超声扫描和多层螺旋 CT(MSCT)冠状动脉造影。

结果

根据受试者工作特征曲线分析,PS 对预测存在 [非阻塞性和阻塞性] CAD(≧3 段)和阻塞性(≧50%)CAD 有用,截断值为 3.5mm(曲线下面积分别为 0.745 和 0.782)。对基线危险因素的多变量逻辑分析显示,PS 是预测患病和阻塞性冠状动脉疾病的独立危险因素(R²=0.2165,p<0.0001 和 R²=0.2265,p<0.0001,分别)。在多元回归分析中,PS 是预测冠状动脉疾病受累节段数的最显著预测因子(R²=0.2022,p<0.0001 和 R²=0.2209,p<0.0001,分别)。

结论

颈动脉 PS 可用于预测 CAD 的存在和严重程度,是识别无症状糖尿病高危患者的最重要筛查试验。

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