Successful long-term management of spasticity in people with multiple sclerosis using a software application: Results from a randomized, controlled, multicenter study

Background and purpose: Successful long-term treatment of spasticity in people with multiple sclerosis (pwMS) is challenging. We investigated the effects of multidisciplinary inpatient rehabilitation (MIR) and an individualized self-training program delivered by an app on spasticity in pwMS.

Methods: First, we assessed the efficacy of 4-week MIR in ambulatory pwMS (Expanded Disability Status Scale < 7.0) with moderate to severe lower limb spasticity (defined by ≥4 points on the Numeric Rating Scale for spasticity [NRSs]) in a cohort of 115 pwMS at seven rehabilitation centers in Austria. In the case of a clinically relevant improvement in spasticity of ≥20% on the NRSs following MIR (n = 94), pwMS were randomly allocated in a 1:1 ratio to either the newly designed MS-Spasticity App or to a paper-based self-training program for 12 weeks. The primary outcome was change in NRSs (German Clinical Trials Registry DRKS00023960).

Results: MIR led to a significant reduction of 2.0 points on the NRSs (95% confidence interval [CI] = 2.5-2.0, p < 0.000). MIR was further associated with a statistically significant improvement in spasticity on the Modified Ashworth Scale, strength, and all mobility outcomes. Following MIR, self-training with the MS-Spasticity App was associated with a sustained positive effect on the NRSs, whereas paper-based self-training led to a worsening in spasticity (median NRSs difference = 1.0, 95% CI = 1.7-0.3, p = 0.009). The MS-Spasticity App was also associated with a significantly better adherence to self-training (95% vs. 72% completion rate, p < 0.001).

Conclusions: In pwMS, MIR is able to significantly improve lower limb spasticity, strength, and mobility. Following MIR, an individually tailored antispasticity program delivered by an app leads to sustained positive long-term management.