机器人辅助训练对脑卒中患者康复效果的影响因素分析OA

Objective:To investigate the influencing factors on the rehabilitation effect of robot-assisted training in stroke patients.Methods:A prospective study was conducted to select 103 stroke patients who received robot-assisted rehabilitation training at Qinhuangdao Hospital of Peking University Third Hospital from March 2023 to March 2025.The effects of robot-assisted rehabilitation training on stroke patients with different characteristics were collected and compared.Multiple linear regressions was used to identify independent factors affecting the rehabilitation and quantify their relationships with rehabilitation outcomes.A decision tree model was constructed to identify key predictive variables,and receiver operating characteristic(ROC)curves were plotted with area under the curve(AUC)calculated to evaluate the predictive value of the model.Results:At 3 months of training,the mean Fugl-Meyer assessment(FMA)score of stroke patients significantly increased compared to that before training.Patients aged<50 years,with disease duration<3 months,self-rating depression scale(SDS)score<53,Montreal cognitive assessment(MoCA)score≥26,and modified Barthel index(mBI)>40 showed significantly better rehabilitation outcomes(P<0.05).Multiple linear regression indicated that age,disease duration,SDS score,MoCA score,and mBI score were significant influencing factors(P<0.05).The decision tree model identified disease duration,SDS,MoCA,and mBI scores as independent predictors of the effect of robot-assisted rehabilitation training in stroke patients,with disease duration being the most significant.The AUC for disease duration in predicting rehabilitation outcome was 0.811(95%CI:0.727-0.895),with sensitivity,specificity,and Youden index of 0.833,0.745,and 0.578,respectively.Conclusion:Robot-assisted rehabilitation training can significantly improve the motor function of stroke patients.Its effectiveness is jointly influenced by age,disease duration,depression,cognition,and activities of daily living.Among them,the disease duration has the most significant impact.Clinically,targeted interventions based on these risk factors can enhance the efficacy of robot-assisted rehabilitation.