Prediction of Risk Factors for Progressive and Non-Progressive Stroke by Transcranial Doppler Ultrasound Information Technology

Objective: To predict the risk factors of progressive and non-progressive stroke by the transcranial Doppler ultrasound information technology and the analysis of the comparative examination results. Methods: A total of 180 patients with ischemic stroke (IS) treated in the Neurology Department were included as the research objects. The Scandinavian Stroke Scale (SSS) was used to score the neurological functions of patients, and the patients were then divided into the progressive group (group P) and the non-progressive group (group NP). The carotid ultrasound examination was performed on the grouped patients, and the support vector machine (SVM) regression algorithm was used to classify the data obtained by the ultrasound examinations. The differences between the results of both groups were analyzed and discussed, as well as the carotid lesions and plaques. Results: The plaque detection rate was 96.7% in group P and 75.8% in group NP. In group P, the detection rate of the single plaque was 8.3%, and the detection rate of multiple plaques was 88.3%. In group NP, the detection rate of the single plaque was 19.2%, and the detection rate of multiple plaques was 56.7%. Besides, statistical differences existed between both groups (P < 0.01). Carotid plaques in both groups were mainly distributed in common carotid artery (CA), bifurcation, internal CA, and external CA. Of all the biochemical indexes and CPS, the fasting plasma glucose (FPS), low density lipoprotein-cholesterol, lipoprotein (a), homocysteine, C-reactive protein, and fibrinogen had positive correlations. The major risk factors for the formation of vulnerable carotid plaques were increased levels of lipoprotein (a), homocysteine, and C-reactive protein. Conclusion: The pathogenesis of progressive and non-progressive stroke was closely related to vulnerable plaque. The vulnerable plague was a factor indicating the risk of progressing to early stroke. Besides, the formation of vulnerable plaques was closely correlated to the increase of lipoprotein (a), homocysteine, and C-reactive protein levels.