| Objective: To investigate the correlation between total magnetic resonance imaging (MRI) burden, cognitive impairment and risk of falls in patients with cerebral small vessel disease (CSVD), and the predictive value of the total burden of MRI and cognitive impairment in risk of falls in CSVD patients. Methods: A total of 200 patients with CSVD were classified by the time up and go test (TUG) into low risk of falling (LRF, TUG<15s) group (113 cases) and high risk of falling (HRF, TUG ≥ 15 s) group (87 cases). The total burden of CSVD was evaluated using the 3.0T MRI, the Montreal cognitive assessment scale (MoCA) was used to evaluate cognitive function, and the basic information was compared between the two groups. Spearman correlation analysis was used to evaluate the relationship between the total burden of MRI, cognitive impairment and risk of falls in patients with CSVD. The influencing factors of the risk of falls in CSVD patients were analyzed by Logistic regression method. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of total MRI burden and MoCA score in risk of falls in patients with CSVD, and external verification set was performed. Results: Compared with the LRF group, the HRF patients had a significant history of falls, increased MRI total burden score, and decreased MoCA score (all P<0.05). The risk of falling was positively associated with total MRI burden in patients with CSVD and negatively with MoCA score (all P<0.05). Results of Logistic regresstion analysis showed that increased total MRI burden and decreased MoCA score were risk factors for falls in CSVD (P<0.05) and had some predictive value, the area under curve (AUC) of combination was 96.8%, with AUC values of 87.3% in the external verification set. Conclusion: The total MRI burden and cognitive impairment may be related to the risk of falls in patients with CSVD, which can predict the risk of falling in CSVD patients. |
