Clinical efficacy of ultrasound-guided stellate ganglion block combined with extracorporeal shock wave therapy on limb spasticity in patients with ischemic stroke

Abstract

IntroductionTo observe the clinical efficacy of ultrasound-guided stellate ganglion block (SGB) + extracorporeal shock wave therapy (ESWT) for limb spasticity in patients with ischemic stroke.MethodsA total of 60 patients with post-stroke limb spasticity in our hospital were selected and randomly divided into four groups (n = 15). In the control group, patients received routine rehabilitation training. Based on routine rehabilitation training, SGB group patients underwent ultrasound-guided SGB, ESWT group patients received ESWT, and SGB + ESWT group patients received ultrasound-guided SGB combined with ESWT. The total treatment course was one month. The Modified Barthel Index (MBI) score, Fugl-Meyer Assessment and upper limb rehabilitation training system were applied to evaluate the activities of daily living, upper limb motor function and upper limb performance before and after treatment. Finally, the improvement after treatment was compared among different groups.ResultsAfter treatment, compared with the control group, the MBI score and the upper limb score based on Fugl-Meyer Assessment in the SGB, ESWT, and SGB + ESWT groups were significantly increased (P < 0.05). Furthermore, compared with the SGB and ESWT groups, SGB + ESWT exhibited a higher upper limb function score (P < 0.05), while the MBI score was not significantly different (P > 0.05). In terms of upper limb performance ability, patients in the SGB, ESWT and SGB + ESWT groups had better fitting degree, participation and exertion of exercise than those in the control group, and the SGB + ESWT group patients had the same movement trajectory as robots.ConclusionUltrasound-guided SGB and ESWT can reduce the muscle tension of patients, alleviate spasticity, promote the motor function of the upper limb, and improve the working performance of patients. However, the effect of SGB combined with ESWT is better.