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首页> 外文期刊>Journal of Clinical Ultrasound: JCU >The influence of obesity on the assessment of carotid intima-media thickness
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The influence of obesity on the assessment of carotid intima-media thickness

机译：肥胖对颈动脉内中膜厚度评估的影响

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Background.: The assessment of carotid intima-media thickness (CIMT) may improve cardiovascular risk prediction. The optimal protocol for CIMT measurement is unclear. CIMT may be measured in the common carotid artery (CCA), carotid bifurcation (CB), and internal carotid artery (ICA), but measurements from CB and ICA are more difficult to obtain. We studied the influence of body mass index (BMI) and atheroma plaques on the capacity to obtain CIMT measurements at different carotid sites. Methods.: Using an automatic system, CIMT was measured in 700 subjects aged 45-75, in the near and far walls of CCA, CB, and ICA bilaterally. The presence of atheroma plaques, BMI and vascular risk factors were recorded. Results.: CIMT measurements in CCA were possible in all except one subject. It was not possible to obtain CIMT measurements at CB or ICA in 24.1% of normal weight and 58.8% of obese subjects. The likelihood of obtaining CIMT measurement at all carotid sites decreased as the BMI increased. Atheroma plaques in a carotid segment did not preclude CIMT measurement at this site. Conclusions.: CIMT measurements in distal carotid segments are more challenging in obese subjects. Measuring CIMT at CCA remains feasible in obese subjects and should be the primary endpoint in these subjects. Nevertheless, CB and ICA measurements, when feasible, would improve risk classification.
机译：背景：评估颈动脉内中膜厚度（CIMT）可能会改善心血管疾病的风险预测。 CIMT测量的最佳方案尚不清楚。 CIMT可以在颈总动脉（CCA），颈分叉（CB）和颈内动脉（ICA）中进行测量，但是更难以从CB和ICA获得测量结果。我们研究了体重指数（BMI）和动脉粥样斑块对获得不同颈动脉部位CIMT测量值的能力的影响。方法：使用自动系统，在700名年龄在45-75之间的受试者中，分别在CCA，CB和ICA的近壁和远壁进行双边测量。记录动脉粥样斑块，BMI和血管危险因素的存在。结果：除了一名受试者外，所有患者均可以在CCA中进行CIMT测量。在正常体重的24.1％和肥胖的受试者中，不可能在CB或ICA获得CIMT测量值。随着BMI的增加，在所有颈动脉部位获得CIMT测量值的可能性降低。颈段的粥样斑块并不排除CIMT在该部位的测量。结论：在肥胖受试者中颈动脉远端节段的CIMT测量更具挑战性。在肥胖的受试者中，在CCA处测量CIMT仍然可行，应该成为这些受试者的主要终点。然而，在可行的情况下，CB和ICA的测量将改善风险分类。

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