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多普勒超声检测未合并 1 型糖尿病患者眼循环的微血管功能障碍。

Impaired microvascular properties in uncomplicated type 1 diabetes identified by Doppler ultrasound of the ocular circulation.

出版信息

Diab Vasc Dis Res. 2011 Jul;8(3):211-20. doi: 10.1177/1479164111411324. Epub 2011 Jun 8.

Abstract

OBJECTIVE

Quantification of Doppler flow velocity waveforms has been shown to predict adverse cardiovascular outcomes and identify altered downstream haemodynamics and vascular damage in a number of organ beds. We employed novel techniques to quantify Doppler flow velocity waveforms from the retro bulbar circulation.

METHODS AND RESULTS

In total, 39 patients with uncomplicated Type 1 diabetes mellitus, and no other significant cardiovascular risk factors were compared with 30 control subjects. Flow velocity waveforms were captured from the ophthalmic artery (OA), central retinal artery (CRA) and the common carotid artery. The flow velocity profiles were analysed in the time domain to calculate the resistive index (RI), and time-frequency domain using novel discrete wavelet transform methods for comparison. Analysis of flow waveforms from the OA and CRA identified specific frequency band differences between groups, occurring independently of potential haemodynamic or metabolic confounding influences. No changes were identified in the calculated RI from any arterial site.

CONCLUSION

Novel analysis of the arterial flow velocity waveforms recorded from the retro bulbar circulation identified quantifiable differences in Doppler flow velocity waveform morphology in patients with diabetes prior to the development of overt retinopathy. The technique may be useful as an additional marker of cardiovascular risk.

摘要

目的

已有研究表明,对多普勒血流速度波形进行定量分析可以预测不良心血管结局,并识别多个器官床下游血流动力学改变和血管损伤。我们采用了新的技术来定量分析球后循环的多普勒血流速度波形。

方法和结果

共纳入 39 例无并发症的 1 型糖尿病患者(无其他显著心血管危险因素)与 30 例对照者进行比较。从眼动脉(OA)、视网膜中央动脉(CRA)和颈总动脉捕获血流速度波形。在时域中分析血流速度曲线以计算阻力指数(RI),并使用新的离散小波变换方法进行时频域分析以进行比较。OA 和 CRA 的血流波形分析确定了组间存在特定的频带差异,这些差异独立于潜在的血流动力学或代谢混杂影响。任何动脉部位的计算 RI 均未发生变化。

结论

对球后循环记录的动脉血流速度波形进行新的分析,在明显视网膜病变发生之前,即可识别糖尿病患者多普勒血流速度波形形态的可量化差异。该技术可能作为心血管风险的附加标志物有用。

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