Assessing hand motor function in chronic immune-mediated neuropathies: a proof-of-concept study using a data glove

Area of Science:

• Neurology
• Biomedical Engineering
• Rehabilitation Technology

Background:

• Chronic immune-mediated neuropathies present heterogeneous clinical symptoms requiring precise monitoring.
• Existing outcome measures lack reliability, objectivity, and functional relevance for treatment individualization.
• Wearable devices like data gloves offer potential for repeated, objective quantification of hand motor function.

Purpose of the Study:

• To evaluate the reliability, validity, and sensitivity of a data glove for assessing hand motor function in patients with chronic immune-mediated neuropathies.
• To compare the data glove's performance against established clinical outcome measures and electrophysiological/ultrasound techniques.

Main Methods:

• 25 patients with CIDP or MMN underwent assessment using a data glove measuring active range of motion (ROM).
• Data were correlated with clinical parameters (grip strength, MRC Sum Score, INCAT), NCS, HRUS, and PROMs (R-ODS).
• Longitudinal analysis utilized Linear Mixed Models; construct validity was assessed via correlations.

Main Results:

• The data glove demonstrated excellent test-retest reliability (ICC: 0.83-0.94) for ROM.
• It showed adequate sensitivity and specificity in detecting hand motor impairment (AUC: 0.714-0.780), outperforming NCS and HRUS.
• Strong correlations were found between glove measurements and clinical parameters (Vigorimeter) and PROMs (R-ODS).

Conclusions:

• The data glove provides a non-invasive, reliable, and objective assessment of hand motor function relevant to daily life.
• Future research should explore its predictive ability for treatment response and its utility in monitoring rehabilitation.
• The technology holds potential for application in various neurological conditions.