Categories
Nevin Manimala Statistics

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

Eur J Neurol. 2022 Feb 4. doi: 10.1111/ene.15271. Online ahead of print.

ABSTRACT

BACKGROUND: 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-weeks MIR in ambulatory pwMS (EDSS<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 in 7 rehabilitation centers in Austria. In 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 a newly designed “MS-spasticity App” or to a paper-based self-training program for 12 weeks. The primary outcome was change in NRSs (DRKS00023960).

RESULTS: MIR led to a significant reduction of 2.0 points on the NRSs (95% Confidence Interval (CI) 2.5 to 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 “MS-spasticity App” was associated with a sustained positive effect on the NRSs, while paper-based self-training led to a worsening in spasticity (median NRSs difference 1.0; 95% CI 1.7 to 0.3; p=0.009). “MS-spasticity App” was also associated with a significantly better adherence to self-training (95% versus 72% completion rate; p<0.001).

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

PMID:35122365 | DOI:10.1111/ene.15271

By Nevin Manimala

Portfolio Website for Nevin Manimala