Logistic Regression Analysis of the Influencing Factors of Cryptogenic Stroke with Positive c-TCD

Abstract

Objective: To explore the influencing factors and logistic regression characteristics of cryptogenic stroke in patients with positive transcranial doppler bubble test (c-TCD). Methods: A total of 134 cases of cryptogenic stroke that were diagnosed by Tianshui First People’s Hospital from November 2018 to April 2020 were selected according to the TOAST (Trial of ORG 10172 in Acute Stroke Treatment) classification criteria. According to c-TCD results, there were 70 cases of right to left shunt that were included in the positive group and 64 cases without right to left shunt in the negative group. Gender, age, smoking, diabetes, hypertension, and factors affecting the positive rate of foam were analyzed. According to the abnormal embolism scale scores, logistic regression equation was used to analyze the independent influencing factors. Results: The influencing factors of cryptogenic stroke in patients with positive c-TCD were correlated with age, gender, and abnormal embolism scale scores (p < 0.05). For each grade increase in age, the proportion of positive foam test was calculated to be 3.21 times, and the proportion of female to male was calculated to be 2.25 times. For each grade increase in the scores, the proportion of positive foam test was calculated to be 2.55 times. Conclusion: Female, older age, and higher scores in the abnormal embolism scale are the influencing factors for cryptogenic stroke in patients with positive c-TCD.