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颈动脉内膜中层厚度增加可预测 2 型糖尿病患者异常心肌灌注的存在和程度。

Increased carotid intima-media thickness as a predictor of the presence and extent of abnormal myocardial perfusion in type 2 diabetes.

机构信息

Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.

出版信息

Diabetes Care. 2010 Feb;33(2):372-4. doi: 10.2337/dc09-1301. Epub 2009 Nov 16.

DOI:10.2337/dc09-1301
PMID:19918012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2809285/
Abstract

OBJECTIVE

Identification of asymptomatic patients with type 2 diabetes at increased risk for coronary artery disease (CAD) remains a challenge. We evaluated the potential of carotid intima-media thickness (CIMT) for prediction of abnormal myocardial perfusion in this population.

RESEARCH DESIGN AND METHODS

CIMT and SPECT myocardial perfusion imaging were assessed in 98 asymptomatic patients with type 2 diabetes. An increased CIMT was defined as > or =75th percentile of reference values. RESULTS Increased CIMT was an independent predictor of the extent of abnormal perfusion (P < 0.001). In patients with increased CIMT as compared with patients with normal CIMT, abnormal perfusion (75 vs. 9%) and severely abnormal perfusion (28 vs. 3%) were observed more frequently.

CONCLUSIONS

Increased CIMT was significantly related to the presence and extent of abnormal myocardial perfusion. Assessment of CIMT may be useful to identify asymptomatic patients with type 2 diabetes at higher risk for CAD.

摘要

目的

识别处于冠状动脉疾病（CAD）风险增加的 2 型糖尿病无症状患者仍然是一个挑战。我们评估了颈动脉内膜中层厚度（CIMT）在预测该人群异常心肌灌注中的潜力。

研究设计和方法

评估了 98 例无症状 2 型糖尿病患者的 CIMT 和 SPECT 心肌灌注显像。将 CIMT 增加定义为 >或=参考值的第 75 百分位。

结果

CIMT 增加是异常灌注程度的独立预测因子（P < 0.001）。与 CIMT 正常的患者相比，CIMT 增加的患者更常出现异常灌注（75% vs. 9%）和严重异常灌注（28% vs. 3%）。

结论

CIMT 增加与异常心肌灌注的存在和程度显著相关。评估 CIMT 可能有助于识别处于 CAD 高风险的无症状 2 型糖尿病患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e68/2809285/fa6d71a23c3a/zdc0021080500001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e68/2809285/fa6d71a23c3a/zdc0021080500001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e68/2809285/fa6d71a23c3a/zdc0021080500001.jpg

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