Impact of Moderate Individually Tailored Physical Activity in Multiple Sclerosis Patients with Fatigue on Functional, Cognitive, Emotional State, and Postural Stability

Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis

Impairment in persons with multiple sclerosis (PwMS) can often be attributed to symptoms of motor instability and fatigue. Symptom monitoring and queued interventions often target these symptoms. Clinical metrics are currently limited to objective physician assessments or subjective patient reported measures. Recent research has turned to wearables for improving the objectivity and temporal resolution of assessment. Our group has previously observed wearable assessment of supervised and unsupervised standing transitions to be predictive of fall-risk in PwMS. Here we extend the application of standing transition quantification to longitudinal home monitoring of symptoms. Subjects (N=23) with varying degrees of MS impairment were recruited and monitored with accelerometry for a total of  ∼  6 weeks each. These data were processed using a preexisting framework, applying a deep learning activity classifier to isolate periods of standing transition from which descriptive features were extracted for analysis. Participants completed daily and biweekly assessments describing their symptoms. From these data, Canonical Correlation Analysis was used to derive digital phenotypes of MS instability and fatigue. We find these phenotypes capable of distinguishing fallers from non-fallers, and further that they demonstrate a capacity to characterize symptoms at both daily and sub-daily resolutions. These results represent promising support for future applications of wearables, which may soon augment or replace current metrics in longitudinal monitoring of PwMS.

Italian translation and validation of fatigue symptoms and impacts questionnaire in relapsing multiple sclerosis (FSIQ-RMS)

BACKGROUND

Fatigue is a disabling symptom of multiple sclerosis (MS) and impacts on daily life. The Fatigue Symptoms and Impacts Questionnaire-Relapsing Multiple Sclerosis (FSIQ-RMS) is a new 20-item tool that investigates the aspects of fatigue in MS. It concerns motor, cognitive, social, and emotional aspects of fatigue. We aim at validating the Italian version of FSIQ-RMS in an Italian population of MS patients and demonstrate its reliability and construct validity.

METHODS

We included patients with diagnosis of MS, age between 18 and 70 years with ability to participate in a 90-min interview. Each patient completed the Italian version of FSIQ-RMS and Fatigue Severity Scale (FSS) at the same time. Construct validity was explored by the exploratory factor analysis; reliability was assessed with Cronbach's alpha; and test-retest stability was examined through intraclass correlation coefficient (ICC). Concurrent validity was calculated using Pearson's correlation.

RESULTS

We enrolled 171 patients (126 female and 45 male), 83% with relapsing MS (RMS), and 17% with secondary progressive MS (SPMS). Italian FSIQ-RMS showed a Cronbach's alpha of 0.92; ICC was 0.96. Pearson's correlation coefficient between FSIQ-RMS and FSS total score was statistically significant (p < 0.01); FSIQ-RMS inversely correlated also with BMI and positively with EDSS.

CONCLUSION

The Italian version of FSIQ-RMS has excellent psychometric properties and can be used in research and clinical setting to evaluate physical, cognitive, and social fatigue in both RMS and SPMS.

The Relationship between Cognitive Dysfunction and Postural Stability in Multiple Sclerosis

Background and Objectives: Multiple Sclerosis (MS) is a demyelinating disease of the central nervous system (CNS), most commonly characterized by balance dysfunction, fatigue syndrome and cognitive impairment. The goal of our study was to determine the association between cognitive functions and static posture control. Materials and Methods: The research group consisted of 76 randomized MS patients (ICDG 35.0) hospitalized at the Neurological Rehabilitation Clinic of the Medical University of Lodz. This group was divided into three subgroups according to the cognitive assessment based on the Mini Mental State Examination (MMSE) for patients over 65 years of age and the Montreal Cognitive Assessment (MoCA) under the age of 65. Fatigue syndrome was assessed using the Fatigue Severity Scale (FSS), and postural stability using a stabilometric platform. Results: The men demonstrated poorer stabilometric platform measurements than the women. Statistically significant differences were observed between patients without dysfunction and severe cognitive impairment. The results of the stabilometric platform were found to correlate with body mass index in all three groups of patients (Spearman’s test). Conclusions: Body mass index and cognition have impact on postural stability in MS patients with moderate disability and fatigue syndrome.