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Continuous daily assessment of multiple sclerosis disability using remote step count monitoring.
Block, V J; Lizée, A; Crabtree-Hartman, E; Bevan, C J; Graves, J S; Bove, R; Green, A J; Nourbakhsh, B; Tremblay, M; Gourraud, P-A; Ng, M Y; Pletcher, M J; Olgin, J E; Marcus, G M; Allen, D D; Cree, B A C; Gelfand, J M.
Afiliação
  • Block VJ; Department of Physical Therapy and Rehabilitation, University of California, San Francisco and San Francisco State University, San Francisco, CA, USA.
  • Lizée A; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Crabtree-Hartman E; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Bevan CJ; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Graves JS; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Bove R; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Green AJ; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Nourbakhsh B; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Tremblay M; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Gourraud PA; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Ng MY; Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA.
  • Pletcher MJ; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
  • Olgin JE; Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA.
  • Marcus GM; Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA.
  • Allen DD; Department of Physical Therapy and Rehabilitation, University of California, San Francisco and San Francisco State University, San Francisco, CA, USA.
  • Cree BA; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA.
  • Gelfand JM; Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Box 3206, San Francisco, CA, 94158, USA. Jeffrey.Gelfand@ucsf.edu.
J Neurol ; 264(2): 316-326, 2017 Feb.
Article em En | MEDLINE | ID: mdl-27896433
ABSTRACT
Disability measures in multiple sclerosis (MS) rely heavily on ambulatory function, and current metrics fail to capture potentially important variability in walking behavior. We sought to determine whether remote step count monitoring using a consumer-friendly accelerometer (Fitbit Flex) can enhance MS disability assessment. 99 adults with relapsing or progressive MS able to walk ≥2-min were prospectively recruited. At 4 weeks, study retention was 97% and median Fitbit use was 97% of days. Substudy validation resulted in high interclass correlations between Fitbit, ActiGraph and manual step count tally during a 2-minute walk test, and between Fitbit and ActiGraph (ICC = 0.76) during 7-day home monitoring. Over 4 weeks of continuous monitoring, daily steps were lower in progressive versus relapsing MS (mean difference 2546 steps, p < 0.01). Lower average daily step count was associated with greater disability on the Expanded Disability Status Scale (EDSS) (p < 0.001). Within each EDSS category, substantial variability in step count was apparent (i.e., EDSS = 6.0 range 1097-7152). Step count demonstrated moderate-strong correlations with other walking measures. Lower average daily step count is associated with greater MS disability and captures important variability in real-world walking activity otherwise masked by standard disability scales, including the EDSS. These results support remote step count monitoring as an exploratory outcome in MS trials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Caminhada / Telemedicina / Esclerose Múltipla Crônica Progressiva / Esclerose Múltipla Recidivante-Remitente / Avaliação da Deficiência / Acelerometria Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Neurol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Caminhada / Telemedicina / Esclerose Múltipla Crônica Progressiva / Esclerose Múltipla Recidivante-Remitente / Avaliação da Deficiência / Acelerometria Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Neurol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
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