Tasks of activities of daily living (ADL) are more valuable than the classical neurological examination to assess upper extremity function and mobility in multiple sclerosis

Background: Accurate clinical assessment in multiple sclerosis (MS) is challenging. The Assess MS system is being developed to automatically quantify motor dysfunction in MS, including upper extremity function (UEF) and mobility. Objective: To determine to what extent combinations of standardized movements included in the Assess MS system explain accepted measures of UEF and mobility. Methods: MS patients were recruited at four European MS centres. Eight movements were selected, including tasks of activities of daily living (ADL) and classical neurological tests. Movements were recorded on video and rated by experienced neurologists (n = 5). Subsequently, multivariate linear regression models were performed to explain the variance of the Nine-Hole Peg Test (9HPT), Arm Function in Multiple Sclerosis Questionnaire (AMSQ) and Timed-25 Foot Walk test (T25WT). Results: In total, 257 patients were included. The movements explained 62.9% to 80.1% of the variance of the 9HPT models, 43.3% and 44.3% of the AMSQ models and 70.8% of the T25WT. In all models, tasks of ADL contributed most to the variance. Conclusion: Combinations of movements are valuable to assess UEF and mobility. Incorporating ADL tasks into daily clinical practice and clinical trials may be more valuable than the classical neurological examination of UEF and mobility.

[1]  J. Lexell,et al.  Performance of activities of daily living in multiple sclerosis , 2004, Disability and rehabilitation.

[2]  N. Yozbatiran,et al.  Motor assessment of upper extremity function and its relation with fatigue, cognitive function and quality of life in multiple sclerosis patients , 2006, Journal of the Neurological Sciences.

[3]  Jan Hillert,et al.  High concurrent presence of disability in multiple sclerosis , 2007, Journal of Neurology.

[4]  Jeffrey A. Cohen,et al.  Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls , 2008, Multiple sclerosis.

[5]  A. Cieza,et al.  Characterization of functioning in multiple sclerosis using the ICF , 2009, Journal of Neurology.

[6]  N. Larocca Impact of Walking Impairment in Multiple Sclerosis , 2011, The patient.

[7]  V de Groot,et al.  Community walking can be assessed using a 10-metre timed walk test , 2011, Multiple sclerosis.

[8]  T. Coetzee,et al.  Revisiting The Multiple Sclerosis Functional Composite: proceedings from the National Multiple Sclerosis Society (NMSS) Task Force on Clinical Disability Measures , 2012, Multiple sclerosis.

[9]  Jacob J. Sosnoff,et al.  Clinically meaningful performance benchmarks in MS , 2013, Neurology.

[10]  R. Motl Ambulation and multiple sclerosis. , 2013, Physical medicine and rehabilitation clinics of North America.

[11]  Ilse Lamers,et al.  Upper limb assessment in multiple sclerosis: a systematic review of outcome measures and their psychometric properties. , 2014, Archives of physical medicine and rehabilitation.

[12]  Christine C. Chen,et al.  Associations of Upper Limb Disability Measures on Different Levels of the International Classification of Functioning, Disability and Health in People With Multiple Sclerosis , 2014, Physical Therapy.

[13]  Ludwig Kappos,et al.  Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision , 2015, JMIR human factors.

[14]  L. Kappos,et al.  On the origin of Neurostatus. , 2015, Multiple sclerosis and related disorders.

[15]  L. Mokkink,et al.  The Arm Function in Multiple Sclerosis Questionnaire (AMSQ): development and validation of a new tool using IRT methods , 2015, Disability and rehabilitation.

[16]  Peter Kontschieder,et al.  Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision , 2016, CHI.

[17]  B. Uitdehaag,et al.  Outcome Measures in Clinical Trials for Multiple Sclerosis , 2017, CNS Drugs.

[18]  L. Mokkink,et al.  Measurement properties of the Arm Function in Multiple Sclerosis Questionnaire (AMSQ): a study based on Classical Test Theory , 2017, Disability and rehabilitation.

[19]  Jeffrey A Cohen,et al.  Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis , 2017, Multiple sclerosis.

[20]  Ilse Lamers,et al.  The Nine-Hole Peg Test as a manual dexterity performance measure for multiple sclerosis , 2017, Multiple sclerosis.