Vega Gómez M E, Ley Pozo J, Aldama Figueroa A, Fernández Montequín J I, Montalvo Diago J, Fernández Boloña A, Gutiérrez Jiménez O
Instituto Nacional de Angiología y Cirugía Vascular, Ciudad Habana, Cuba.
Angiologia. 1992 Nov-Dec;44(6):234-7.
In order to improve in the early diagnosis of an arterial occlusion, we proposed the bases of an automatized system that allows to recognize the hemodynamic features of diabetic patients in different stadiums of their disease. Fifty-four patients with type-II diabetes were studied. We recorded the arterial flow curves in the bilateral femoral, popliteal, pedia and tibial-posterior arteries from all of our patients. In the distal arteries from patients with hemodynamics disturbances, we found normal values of the variants measured: maximal systolic speed flow (Max A), maximal diastolic speed flow (Max D), Peurcelot's resistance (RP), pulsatility index (PI) and spectral band (SB).
为了改善动脉闭塞的早期诊断,我们提出了一个自动化系统的基础,该系统能够识别糖尿病患者在疾病不同阶段的血流动力学特征。我们研究了54例II型糖尿病患者。我们记录了所有患者双侧股动脉、腘动脉、足背动脉和胫后动脉的动脉血流曲线。在有血流动力学紊乱的患者的远端动脉中,我们发现所测量变量的正常值:最大收缩期血流速度(Max A)、最大舒张期血流速度(Max D)、珀塞尔洛特阻力(RP)、搏动指数(PI)和频谱带宽(SB)。