颈动脉粥样硬化是糖尿病患者心血管疾病的替代标志物。

ISRN endocrinology Pub Date : 2013-11-10 eCollection Date: 2013-01-01 DOI:10.1155/2013/979481
Ryuichi Kawamoto, Tateaki Katoh, Tomo Kusunoki, Nobuyuki Ohtsuka
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引用次数: 1

摘要

许多研究表明颈动脉内膜-中层厚度(IMT)与心血管疾病(CVD)有关。尽管在日本糖尿病患者中,颈动脉IMT评估是否有助于CVD的筛查尚不确定,但根据是否存在CVD,共有271例患者(男性151例,年龄66±10(标准差)岁,女性220例,年龄71±8岁)被分为两组。我们横断面评估了颈动脉IMT识别与治疗相对应的CVD的能力,并通过接受者工作特征(ROC)曲线分析进行了检验。271例糖尿病患者中,非心血管疾病199例,心血管疾病72例。以CVD存在为客观变量的多元线性回归分析显示,颈动脉IMT (β = 0.259, P < 0.001)和其他混杂因素是显著的独立影响因素。ROC曲线分析显示,颈动脉IMT是CVD的最佳标志物,其ROC曲线下面积为0.718(95%可信区间(CI)为0.650 ~ 0.785)。当颈动脉平均IMT截断值为0.95 mm时,灵敏度和特异度最高(灵敏度= 0.71,特异度= 0.60,准确度= 0.627)。我们的研究表明颈动脉IMT可能有助于筛查糖尿病合并心血管疾病患者。
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Carotid atherosclerosis as a surrogate maker of cardiovascular disease in diabetic patients.

Many studies have shown that carotid intima-media thickness (IMT) is associated with cardiovascular disease (CVD). Although it remains inconclusive whether assessment of carotid IMT is useful as a screening test for CVD in Japanese diabetic patients, a total of 271 patients (151 men aged 66 ± 10 (standard deviation) years and 220 women aged 71 ± 8 years) were divided into two groups based on the presence of CVD. We cross-sectionally assessed the ability of carotid IMT to identify CVD corresponding to treatment that was examined by receiver-operating characteristic (ROC) curve analyses. Among the 271 diabetic patients, 199 non-CVD and 72 CVD patients were examined. Multiple linear regression analysis using the presence of CVD as an objective variable showed that carotid IMT (β = 0.259, P < 0.001) as well as other confounding factors was a significant independent contributing factor. The ROC curve analysis showed that the best marker of CVD was carotid IMT, with an area under the ROC curve of 0.718 (95% confidence interval (CI), 0.650-0.785). The greatest sensitivity and specificity were obtained when the cut-off value of mean carotid IMT was set at 0.95 mm (sensitivity = 0.71, specificity = 0.60, and accuracy = 0.627). Our study suggests that carotid IMT may be useful for screening diabetic patients with CVD.

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