Assessing upper limb function in multiple sclerosis using an engineered glove

Background and purpose: The importance of upper limb function in multiple sclerosis (MS) is increasingly recognized, especially for the evaluation of patients with progressive MS with reduced mobility. Two sensor-engineered gloves, able to measure quantitatively the timing of finger opposition movements, were previously used to assess upper limb disability in MS. The aims of the present study were: (1) to confirm the association between glove-derived variables and standard measures of MS disability in a larger cohort; (2) to assess the correlation with quantitative magnetic resonance imaging (MRI) and quality of life (QoL) measures; and (3) to determine if the glove-derived variables offer advantages over the standard measure for assessing upper limb function in MS, namely, the Nine-Hole Peg Test (9HPT). Methods: Sixty-five patients with MS, stable on disease-modifying treatment, were evaluated at baseline using the glove, and through clinical examination (Expanded Disability Status Scale, Symbol Digit Modalities Test, Timed 25-Foot Walk Test and 9HPT), MRI evaluation and QoL questionnaires. Correlations between the glove-derived variables and clinical, MRI and QoL variables were assessed using Spearman's rank correlation coefficient analysis. Results: Glove-derived variables significantly differed between patients with relapsing-remitting and those with progressive MS, with similar or slightly higher correlations of the 9HPT with clinical variables. We found greater correlations of the QoL physical component with glove-derived variables than with the 9HPT, and a significant correlation of its mental component with the glove-derived variables but not with the 9HPT. Conclusion: The study results, confirming previous findings and showing advantages over the 9HPT, encourage the investigation of sensitivity to change in glove-derived variables in a longitudinal setting.