The correlation of fall risk between gait kinematics characteristics and MRI total burden in patients with gait disorders in cerebral small vessel disease
10.3969/j.issn.1001-1242.2024.01.010
- VernacularTitle:步态运动学特征及MRI总负荷与脑小血管病步态障碍患者跌倒风险的相关性研究
- Author:
Aiju JIAO
1
;
Weijing ZHAO
;
Shumei WEN
Author Information
1. 甘肃省人民医院中法神经康复科,兰州市,733000
- Keywords:
cerebral small vessel disease;
gait disorder;
total MRI burden;
risk of falls
- From:
Chinese Journal of Rehabilitation Medicine
2024;39(1):70-75
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the predictive value of gait kinematic combined with total MRI burden for the risk of falls in patients with gait disorder in cerebral small vessel disease(CSVD)using logistic regression analysis and ROC curve. Method:Forty-three patients diagnosed with CSVD and presenting primarily with gait disorder at Rehabilitation Department of Gansu Province Hospital from March 1,2019 to March 30,2020 were selected.The statistical clinical data were collected,and according to the TUG test time,all patients were divided into a group with high risk of fall(high risk of falling,HRF,TUG≥15s)and a group of low risk of falls(low risk of falling,LRF,TUG＜15s).Logistic regression analysis and ROC curve were used to assess the predictive value of gait kinematic characteristic combined with total MRI burden for the risk of falls in CSVD patients. Result:A total of 43 patients were included with average age(71.07±8.17)years.Among them,there were 26 female(60.4％)and 30 hypertension patients(69.8％),After adjusting for age and TUG,the logistic regres-sion analysis showed that the step length(OR 0.821,95％CI 0.702-0.959,P=0.013)was an independent protec-tive factor against the risk of falls in CSVD patients,while the total MRI burden(OR 4.217,95％CI 1.444-12.317,P=0.009)was an independent risk factor for the falls in CSVD.The ROC curve analysis showed that the combination of step length and total MRI burden had a high predictive value for the risk of fall in CSVD patients with gait disorder(AUC=0.904),with a sensitivity of 82.6％and a specificity of 90％. Conclusion:Step length combined with total MRI burden has a high predictive value for the risk of falls in CSVD patients with gait disorder.
