Effects of Peripheral Cooling on Upper Limb Tremor Severity and Functional Capacity in Persons with MS.

Upper limb intention tremor in persons with multiple sclerosis (pwMS) affects the ability to perform activities of daily life and is difficult to treat. The study investigated the effect of peripheral upper limb cooling on tremor severity and functional performance in MS patients with intention tremor. In experiment 1, 17 patients underwent two 15 min cooling conditions for the forearm (cold pack and cryomanchet) and one control condition. In experiment 2, 22 patients underwent whole arm cooling for 15 min using multiple cold packs. In both experiments, patients were tested at four time points (pre- and post-0, -25 and -50 min cooling) on unilateral tasks of the Test Evaluant les Membres supérieurs des Personnes Agées (TEMPA), Fahn's tremor rating scale (FTRS), Nine Hole Peg Test (NHPT). In experiment 1, the mean FTRS ranged from 13.2 to 14.1 across conditions. A two-way ANOVA showed mainly time effects, showing that cooling the forearm significantly reduced the FTRS, the performance on the NHPT, and three out of four items of the TEMPA, mostly independent of the cooling modality. In experiment 2, the mean FTRS was 13.1. A repeated measures ANOVA showed that cooling the whole arm reduced the FTRS and time needed to execute two out of four items of the TEMPA. These effects occurred immediately after cooling lasting at least 25 min. Cooling the whole upper limb led to a clinically noticeable effect on tremor severity and improved functional performance, which was pronounced during the first half-hour after cooling.

Reliability, validity and clinical usability of a robotic assessment of finger proprioception in persons with multiple sclerosis.

BACKGROUND: Multiple sclerosis often leads to proprioceptive impairments of the hand. However, it is challenging to objectively assess such deficits using clinical methods, thereby also impeding accurate tracking of disease progression and hence the application of personalized rehabilitation approaches. OBJECTIVE: We aimed to evaluate test-retest reliability, validity, and clinical usability of a novel robotic assessment of hand proprioceptive impairments in persons with multiple sclerosis (pwMS). METHODS: The assessment was implemented in an existing one-degree of freedom end-effector robot (ETH MIKE) acting on the index finger metacarpophalangeal joint. It was performed by 45 pwMS and 59 neurologically intact controls. Additionally, clinical assessments of somatosensation, somatosensory evoked potentials and usability scores were collected in a subset of pwMS. RESULTS: The test-retest reliability of robotic task metrics in pwMS was good (ICC=0.69-0.87). The task could identify individuals with impaired proprioception, as indicated by the significant difference between pwMS and controls, as well as a high impairment classification agreement with a clinical measure of proprioception (85.00-86.67%). Proprioceptive impairments were not correlated with other modalities of somatosensation. The usability of the assessment system was satisfactory (System Usability Scale ≥73.10). CONCLUSION: The proposed assessment is a promising alternative to commonly used clinical methods and will likely contribute to a better understanding of proprioceptive impairments in pwMS.

What is the distribution of trunk impairments and its relationship with disability level in individuals with multiple sclerosis?

BACKGROUND: Trunk control is essential for movement, balance and walking and is ignored in the regular medical follow-up. OBJECTIVE: First, to describe the distribution of trunk impairments in the full range of disability levels in individuals with MS. Second, to identify the relationship between trunk control, measured by the Trunk Impairment Scale (TIS 2.0.), and general disability measured by the Expanded Disability Status Scale (EDSS). METHODS: 154 individuals with MS were included (mean age 53.6; SD 11.06), EDSS ranging from 1.0- 8.5 (mean 4.47; SD 2.55). The relationship between EDSS and TIS 2.0. was calculated by Spearman correlation coefficient for the total sample and subgroups, EDSS ≤ 4 versus EDSS ≥ 4.5. RESULTS: Trunk impairments were detected throughout the full range of disability, including individuals with low disability. Pelvic elevation and lower trunk rotation appeared most difficult to perform. In the total sample, a moderate correlation was found (rho= -0.608**) between disability (EDSS) and trunk performance (TIS 2.0.). Sub-analyses revealed a poor correlation (rho= -0.193) for the EDSS ≤ 4 subgroup and a strong correlation for the EDSS ≥ 4.5 subgroup (rho= -0.712**). CONCLUSION: The results advocate for including trunk assessment already at early disease stages of MS, particularly of pelvic elevation and trunk rotation, and dedicated rehabilitation strategies.

Clinical perspective on pain in multiple sclerosis.

Pain is an important and frequent symptom in multiple sclerosis (MS), which leads to a low quality of life, increased disability level, and lack of employment and mental health. Recently, studies have shown increased interest in pain in MS and there is a growing evidence of its prevalence. However, the literature suffers from lack of experimental studies focusing on pain reduction. This topical review summarizes the current knowledge about pain in MS with its definitions, assessments, treatments and rehabilitation within a holistic perspective.

The content and effects of trunk rehabilitation on trunk and upper limb performance in people with multiple sclerosis: a systematic review.

INTRODUCTION: Persons with multiple sclerosis (pwMS) could have an impaired trunk and reduced postural control, which negatively impacts activities of daily living. Evidence is growing to consider the positive effects of trunk training on fall incidence and balance problems. Effects on trunk and upper limb performance is unknown. This systematic review provides an overview of trunk training programs and their effects in MS, specifically focusing on the content of training modalities and the effects on trunk and upper limb performance. EVIDENCE ACQUISITION: Two electronic databases were used: PubMed and Web Of Science (WOS). Intervention studies (with- and without control group) published in English, investigating the effects of active trunk training on trunk and upper limb performance in pwMS, were included. EVIDENCE SYNTHESIS: Sixteen studies met the criteria, investigating different rehabilitation modalities. The included interventions in the review varied between more generic postural interventions such as Pilates (N.=8) and Ai Chi (N.=1), with a focus on abdominal muscle activation, breathing, neutral position and lower extremity movements. Further, specifically developed trunk training programs like GroupCoreDIST/ SIT / CoDuSe (N.=6) and Bobath based trunk training (N.=1) are detected, with the main focus on trunk strengthening and dynamic movements. An overall improvement in trunk performance was reported in several tests on trunk strength, stability and coordination. While the majority of the programs integrated the upper limb, only half of them used upper limb outcome measures to evaluate the effect. Here, overall significant improvements were found for the upper limb. CONCLUSIONS: This systematic review showed that different types of trunk training programs can improve trunk and upper limb function in PwMS. The findings of this review suggest that a focus on trunk training to achieve effects on upper limb is reasonable. Future research is needed to further explore relations and the effect sizes.

Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.

Predicting upper limb neurorehabilitation outcomes in persons with multiple sclerosis (pwMS) is essential to optimize therapy allocation. Previous research identified population-level predictors through linear models and clinical data. This work explores the feasibility of predicting individual neurorehabilitation outcomes using machine learning, clinical data, and digital health metrics. Machine learning models were trained on clinical data and digital health metrics recorded pre-intervention in 11 pwMS. The dependent variables indicated whether pwMS considerably improved across the intervention, as defined by the Action Research Arm Test (ARAT), Box and Block Test (BBT), or Nine Hole Peg Test (NHPT). Improvements in ARAT or BBT could be accurately predicted (88% and 83% accuracy) using only patient master data. Improvements in NHPT could be predicted with moderate accuracy (73%) and required knowledge about sensorimotor impairments. Assessing these with digital health metrics over clinical scales increased accuracy by 10%. Non-linear models improved accuracy for the BBT (+ 9%), but not for the ARAT (-1%) and NHPT (-2%). This work demonstrates the feasibility of predicting upper limb neurorehabilitation outcomes in pwMS, which justifies the development of more representative prediction models in the future. Digital health metrics improved the prediction of changes in hand control, thereby underlining their advanced sensitivity. Graphical Abstract This work explores the feasibility of predicting individual neurorehabilitation outcomes using machine learning, clinical data, and digital health metrics.

European evidence-based recommendations for clinical assessment of upper limb in neurorehabilitation (CAULIN): data synthesis from systematic reviews, clinical practice guidelines and expert consensus.

BACKGROUND: Technology-supported rehabilitation can help alleviate the increasing need for cost-effective rehabilitation of neurological conditions, but use in clinical practice remains limited. Agreement on a core set of reliable, valid and accessible outcome measures to assess rehabilitation outcomes is needed to generate strong evidence about effectiveness of rehabilitation approaches, including technologies. This paper collates and synthesizes a core set from multiple sources; combining existing evidence, clinical practice guidelines and expert consensus into European recommendations for Clinical Assessment of Upper Limb In Neurorehabilitation (CAULIN). METHODS: Data from systematic reviews, clinical practice guidelines and expert consensus (Delphi methodology) were systematically extracted and synthesized using strength of evidence rating criteria, in addition to recommendations on assessment procedures. Three sets were defined: a core set: strong evidence for validity, reliability, responsiveness and clinical utility AND recommended by at least two sources; an extended set: strong evidence OR recommended by at least two sources and a supplementary set: some evidence OR recommended by at least one of the sources. RESULTS: In total, 12 measures (with primary focus on stroke) were included, encompassing body function and activity level of the International Classification of Functioning and Health. The core set recommended for clinical practice and research: Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT); the extended set recommended for clinical practice and/or clinical research: kinematic measures, Box and Block Test (BBT), Chedoke Arm Hand Activity Inventory (CAHAI), Wolf Motor Function Test (WMFT), Nine Hole Peg Test (NHPT) and ABILHAND; the supplementary set recommended for research or specific occasions: Motricity Index (MI); Chedoke-McMaster Stroke Assessment (CMSA), Stroke Rehabilitation Assessment Movement (STREAM), Frenchay Arm Test (FAT), Motor Assessment Scale (MAS) and body-worn movement sensors. Assessments should be conducted at pre-defined regular intervals by trained personnel. Global measures should be applied within 24 h of hospital admission and upper limb specific measures within 1 week. CONCLUSIONS: The CAULIN recommendations for outcome measures and assessment procedures provide a clear, simple, evidence-based three-level structure for upper limb assessment in neurological rehabilitation. Widespread adoption and sustained use will improve quality of clinical practice and facilitate meta-analysis, critical for the advancement of technology-supported neurorehabilitation.

Systematic evaluation of the guidelines for rehabilitation in multiple sclerosis patients: an overview according to ICF functioning domains.

High-quality clinical practice guidelines (CPGs) can provide evidence-based recommendations for optimizing care on managing multiple sclerosis (MS). There is currently no review that compiles recommendations of high-quality CPGs to guide decision-making for MS rehabilitation. The aim was to identify evidence-based recommendations in high-quality multidisciplinary English CPGs for rehabilitation in MS. CPGs published in the last 10 years (2009-2019) that described recommendations on rehabilitation were searched in PubMed, Turning Research into Practice database, International Guideline databases, National Guideline databases and websites of MS organizations. Quality assessment of CPGs was conducted by two evaluators using the Appraisal of Guidelines for Research and Evaluation II instrument. Recommendations were classified according to the International Classification of Functioning, Disability and Health (ICF) and the International Classification of Health Intervention (ICHI) and documented in terms of strength of recommendation and level of evidence. Five CPGs satisfied the inclusion criteria. Of 120 recommendations, 38 had a strong level with moderate to low level of evidence, 61 were of weak strength and 18 were formulated by the consensus of experts. Recommendations were categorized into 12 domains and 1 chapter on the body function level, 1 chapter on activity level and 2 domains on external factors. The existing CPGs demonstrated more than 100 evidence level recommendations to be followed at the clinical practice, most in body functions of the ICF. Developing up-to-date CPGs with more focus on activity and participation domains for countries with various healthcare backgrounds may be useful for a best clinical practice.

Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review.

The development of mobile technology and mobile Internet offers new possibilities in rehabilitation and clinical assessment in a longitudinal perspective for multiple sclerosis management. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in people with multiple sclerosis (pwMS) is currently unclear. Therefore, this review aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). In total, 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and six for self-assessment, representing 3091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy, we found a small but significant effect of the use of mHealth for cognitive training (Standardized Mean Difference (SMD) = 0.28 [0.12; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the other ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.

Motivation, Usability, and Credibility of an Intelligent Activity-Based Client-Centred Training System to Improve Functional Performance in Neurological Rehabilitation: An Exploratory Cohort Study.

(1) Background: technology-based training systems are increasingly integrated in neurorehabilitation but are rarely combined with a client-centred task-oriented approach. To provide a low-cost client-centred task-oriented system, the intelligent activity-based client-centred task-oriented training (i-ACT) was developed. The objective was to evaluate the usability, credibility and treatment expectancy of i-ACT, and the motivation towards i-ACT use in rehabilitation over time. Additionally, this study will evaluate the upper limb treatment effects after training with i-ACT. (2) Methods: a mixed-method study was performed in four rehabilitation centres. Training with i-ACT was provided during six weeks, three times per week, forty-five minutes per day, additional to conventional care. (3) Results: seventeen persons with central nervous system diseases were included. High scores were seen in the system usability scale (score ≥ 73.8/100), credibility (score ≥ 22.0/27.0)/expectancy (score ≥ 15.8/27.0) questionnaire, and intrinsic motivation inventory (score ≥ 5.2/7.0), except the subscale pressure (score ≤ 2.0/7.0). Results from the interviews corroborate these findings and showed that clients and therapists believe in the i-ACT system as an additional training support system. Upper limb functional ability improved significantly (p < 0.05) over time on the Wolf motor function test. (4) Conclusion: i-ACT is a client-centred task-oriented usable and motivational system which has the potential to enhance upper limb functional training in persons with neurological diseases.

A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.

Digital health metrics promise to advance the understanding of impaired body functions, for example in neurological disorders. However, their clinical integration is challenged by an insufficient validation of the many existing and often abstract metrics. Here, we propose a data-driven framework to select and validate a clinically relevant core set of digital health metrics extracted from a technology-aided assessment. As an exemplary use-case, the framework is applied to the Virtual Peg Insertion Test (VPIT), a technology-aided assessment of upper limb sensorimotor impairments. The framework builds on a use-case-specific pathophysiological motivation of metrics, models demographic confounds, and evaluates the most important clinimetric properties (discriminant validity, structural validity, reliability, measurement error, learning effects). Applied to 77 metrics of the VPIT collected from 120 neurologically intact and 89 affected individuals, the framework allowed selecting 10 clinically relevant core metrics. These assessed the severity of multiple sensorimotor impairments in a valid, reliable, and informative manner. These metrics provided added clinical value by detecting impairments in neurological subjects that did not show any deficits according to conventional scales, and by covering sensorimotor impairments of the arm and hand with a single assessment. The proposed framework provides a transparent, step-by-step selection procedure based on clinically relevant evidence. This creates an interesting alternative to established selection algorithms that optimize mathematical loss functions and are not always intuitive to retrace. This could help addressing the insufficient clinical integration of digital health metrics. For the VPIT, it allowed establishing validated core metrics, paving the way for their integration into neurorehabilitation trials.

Measuring walking-related performance fatigability in clinical practice: a systematic review.

INTRODUCTION: Fatigability, a change in performance according to tasks and circumstances, can contribute to walking limitations in daily life. Walking-related fatigability (WF) has been assessed subjectively, but current knowledge on best objective measurement methods is limited. The aim of this study was to provide an overview of objective clinical measurement methods assessing WF in different populations. EVIDENCE ACQUISITION: Articles were searched in Pubmed and Web Of Science by two independent raters. Studies were included when meeting inclusion criteria of measuring WF objectively in a clinical setting, with no exclusion towards any population. Case studies and reviews were not included in the review (systematic review registration number: PROSPERO - CRD42017074121). In total, 28 articles were included. The study populations were older adults (N.=7), multiple sclerosis (N.=14), spinal muscle atrophy (N.=3), osteoarthritis (N.=3), interstitial lung diseases (N.=1), and myasthenia gravis (N.=1). Data about patient characteristics, walking task, WF formula and interpretation (cut-off values and/or psychometric properties) got extracted from included literature. Every included article got checked for quality and risk of bias. EVIDENCE SYNTHESIS: WF was mostly measured during longer walking test such as six-minute walking test (6MWT) and 500 or 400-m walking test, by comparing the first and last minute or lap for spatiotemporal or kinematic changes in well-defined formulas. No gold standard is however available yet given different tasks or outcome measures across study populations. CONCLUSIONS: Longer walking test were most often used, with a preference towards the 6MWT, thereby comparing the changes over the last and first part of the test. Psychometric properties need more documentation before inclusion as experimental outcome.

Design and Characterization of a Robotic Device for the Assessment of Hand Proprioceptive, Motor, and Sensorimotor Impairments.

Hand function is often impaired after neurological injuries such as stroke. In order to design patient-specific rehabilitation, it is essential to quantitatively assess those deficits. Current clinical scores cannot provide the required level of detail, and most assessment devices have been developed for the proximal joints of the upper limb. This paper presents a new robotic platform for the assessment of proprioceptive, motor, and sensorimotor hand impairments. A detailed technical evaluation demonstrated the capabilities to render different haptic environments required for a comprehensive assessment battery, and showed that the device is suitable for human interaction due to its ergonomic design. A preliminary study on proprioceptive assessment using a gauge position matching task with one healthy, one stroke, and one multiple sclerosis subject showed that the robotic system is able to rapidly and sensitively quantify proprioceptive deficits, and has the potential to be integrated into the clinical settings.

A Systematic Review of International Clinical Guidelines for Rehabilitation of People With Neurological Conditions: What Recommendations Are Made for Upper Limb Assessment?

Background: Upper limb impairment is a common problem for people with neurological disabilities, affecting activity, performance, quality of life, and independence. Accurate, timely assessments are required for effective rehabilitation, and development of novel interventions. International consensus on upper limb assessment is needed to make research findings more meaningful, provide a benchmark for quality in clinical practice, more cost-effective neurorehabilitation and improved outcomes for neurological patients undergoing rehabilitation. Aim: To conduct a systematic review, as part of the output of a European COST Action, to identify what recommendations are made for upper limb assessment. Methods: We systematically reviewed published guidance on measures and protocols for assessment of upper limb function in neurological rehabilitation via electronic databases from January 2007-December 2017. Additional records were then identified through other sources. Records were selected for inclusion based on scanning of titles, abstracts and full text by two authors working independently, and a third author if there was disagreement. Records were included if they referred to "rehabilitation" and "assessment" or "measurement". Reasons for exclusion were documented. Results: From the initial 552 records identified (after duplicates were removed), 34 satisfied our criteria for inclusion, and only six recommended specific outcome measures and /or protocols. Records were divided into National Guidelines and other practice guidelines published in peer reviewed Journals. There was agreement that assessment is critical, should be conducted early and at regular intervals and that there is a need for standardized measures. Assessments should be conducted by a healthcare professional trained in using the measure and should encompass body function and structure, activity and participation. Conclusions: We present a comprehensive, critical, and original summary of current recommendations. Defining a core set of measures and agreed protocols requires international consensus between experts representing the diverse and multi-disciplinary field of neurorehabilitation including clinical researchers and practitioners, rehabilitation technology researchers, and commercial developers. Current lack of guidance may hold-back progress in understanding function and recovery. Together with a Delphi consensus study and an overview of systematic reviews of outcome measures it will contribute to the development of international guidelines for upper limb assessment in neurological conditions.

Intensity-dependent clinical effects of an individualized technology-supported task-oriented upper limb training program in Multiple Sclerosis: A pilot randomized controlled trial.

BACKGROUND: Task-oriented training promotes functional recovery in Multiple Sclerosis (MS). Know-how to determine an individualized training intensity and intensity-dependent effects are, however, unknown. The objective of the study was to investigate the feasibility and the clinical effects of a task-oriented upper limb training program at different individualized training intensities with conventional occupational therapy. METHODS: People with MS (n = 20, EDSS range 4-8) were divided into three groups, receiving task-oriented training at 100% (n = 7) or 50% (n = 8) of their individual maximal number of repetitions, or conventional occupational therapy (n = 5). Effects were evaluated using different upper limb capacity and perceived performance measures on activity level, and measures on body functions and structures level. RESULTS: Mixed model analyses revealed significant improvements (p < 0.05) over time on the Box and block test (BBT), Action Research Arm Test and the Manual Ability Measure-36. Significant interaction effects (group*time) in favor of the task-oriented group training at the highest intensity were found for BBT and static fatigue index during a maximal sustained handgrip strength test. CONCLUSION: All participants were able to perform the task-oriented training at their individualized intensity without any adverse effects. Several improvements over time were found for all intervention groups, however the results suggest a superiority of task-oriented training at 100%. CLINICAL TRIAL REGISTRATION NUMBER ON CLINICALTRIALS.GOV: = NCT02688231.

Multidisciplinary data infrastructures in multiple sclerosis: Why they are needed and can be done!

Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient's fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.

Cognitive-motor interference in persons with multiple sclerosis during five upper limb motor tasks with different complexity.

BACKGROUND: Cognitive-motor interference in multiple sclerosis has been well examined during walking, but not during upper limb (UL) performance. OBJECTIVES: To examine the dual-task cost (DTC) in persons with multiple sclerosis (pwMS) and healthy controls (HC) in various type and complexity of UL motor tasks. METHOD: In total, 30 pwMS without major UL impairment and 30 HC performed five different UL tasks, in single condition and combined with the phonemic word list generation task. The percent change in performances was evaluated by the motor, cognitive, and combined DTC. The motor tasks consisted of four unimanual (sustained hand grip strength, box-and-block test, Purdue pegboard test, finger tapping task) and one bimanual task (Purdue pegboard test). Group and task differences were analyzed with unpaired and paired t-tests, respectively, and overall effect with a multivariate analysis of variance. RESULTS: The motor DTC ranged between 10% (Purdue pegboard bimanual) and 35% (box-and-block test). The cognitive DTC ranged between -8% (finger tapping test) and +21% (bimanual Purdue pegboard). The magnitude of the combined DTC did not differ significantly between pwMS and HC in any task. CONCLUSION: DTC is influenced by the complexity of the UL task, but was not significantly different between HC and cognitive intact, but mildly motor disabled pwMS.

Modified Functional Walking Categories and participation in people with multiple sclerosis.

BACKGROUND: Gait velocity influences the ability of a person to move in different outdoor or indoor contexts and has accordingly been classified through the Modified Functional Walking Categories (MFWC). Community ambulation in persons with multiple sclerosis (PwMS) may give information on their social and productive participation, as well as independence in household activities. OBJECTIVES: To investigate factors associated with walking and mobility restrictions as classified by the Modified Functional Walking Categories (MFWC) and analyze the influence of disease characteristics, demographical and walking factors on participation in PwMS. METHODS: 155 PwMS attending two rehabilitation center were evaluated. Community ambulation was classified with the MFWC; participation was measured with the Community Integration Questionnaire (CIQ). MFWC and statistically significant variables associated with CIQ score were entered in a multivariate logistic model to assess the multiple relationships. RESULTS: PwMS with a secondary progressive type of disease, longer disease duration and using walking aids were classified in the worse MFWC. Participation restrictions were more frequent in Limited Household (72.3%) and in Physiological Walkers (93.7%). The final multivariate model (p < 0.0001) showed that the use of a walking aid (OR = 2.59), being male (OR = 2.94) and older (OR = 1.06) increased the likelihood of having participation restrictions. The same variables predicted home participation; MFWC and age predicted productive participation while only age influenced social participation. CONCLUSIONS: Modified Functional Walking Categories were associated with type of disease, disease duration, disability level and type of walking aid. The best clinical predictor of participation restriction was walking aid while walking categories only predicted productive participation.

The impact of robot-mediated adaptive I-TRAVLE training on impaired upper limb function in chronic stroke and multiple sclerosis.

PURPOSE: The current study aimed to investigate proof-of-concept efficacy of an individualized, robot-mediated training regime for people with MS (pwMS) and stroke patients. METHOD: Thirteen pwMS and 14 chronic stroke patients performed 36 (stroke) or 40 (pwMS) training sessions with the I-TRAVLE system. Evaluation of upper limb function was performed at baseline, after training and at 3 months follow-up. Clinical outcome measures consisted of active range of motion (ROM), Motricity Index, Jamar handgrip strength, perceived fatigue and strength, Wolf Motor Function Test (WFMT) and ABILHAND. Robot-generated outcome measures consisted of movement velocity, ROM and actual covered distance compared to straight-line distance. RESULTS: In pwMS, significant improvements were found after training in active shoulder ROM, handgrip strength, perceived strength and WMFT activities. No significant change in clinical outcome was found in stroke patients, except for perceived strength. Significant improvement in speed and movement duration was found after training in both groups. At follow-up, clinical outcome deteriorated in pwMS and was maintained in stroke patients. CONCLUSIONS: Robot-mediated training resulted in improved movement coordination in both groups, as well as clinical improvement in pwMS. Absence of functional improvements in stroke patients may relate to severe upper limb dysfunction at baseline. Implications for Rehabilitation Robot-mediated training improved strength, active range of motion and upper limb capacity in pwMS. Robot-mediated therapy allows for adapted training difficulty.