Personalized monitoring of ambulatory function with a smartphone 2-minute walk test in multiple sclerosis.
| Autor: | Lam KH; Department of Neurology, Amsterdam University Medical Centers, Universiteit Amsterdam, Amsterdam, The Netherlands/MS Center Amsterdam, Amsterdam, The Netherlands/Amsterdam Neuroscience, Amsterdam, The Netherlands., Bucur IG; Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands., van Oirschot P; MS Sherpa BV, Nijmegen, The Netherlands., de Graaf F; Orikami Digital Health Products, Nijmegen, The Netherlands., Strijbis E; Department of Neurology, Amsterdam University Medical Centers, Universiteit Amsterdam, Amsterdam, The Netherlands/MS Center Amsterdam, Amsterdam, The Netherlands/Amsterdam Neuroscience, Amsterdam, The Netherlands., Uitdehaag B; Department of Neurology, Amsterdam University Medical Centers, Universiteit Amsterdam, Amsterdam, The Netherlands/MS Center Amsterdam, Amsterdam, The Netherlands/Amsterdam Neuroscience, Amsterdam, The Netherlands., Heskes T; Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands., Killestein J; Department of Neurology, Amsterdam University Medical Centers, Universiteit Amsterdam, Amsterdam, The Netherlands/MS Center Amsterdam, Amsterdam, The Netherlands/Amsterdam Neuroscience, Amsterdam, The Netherlands., de Groot V; MS Center Amsterdam, Amsterdam, The Netherlands/Amsterdam Neuroscience, Amsterdam, The Netherlands/Department of Rehabilitation Medicine, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. |
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| Jazyk: | angličtina |
| Zdroj: | Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2023 Apr; Vol. 29 (4-5), pp. 606-614. Date of Electronic Publication: 2023 Feb 08. |
| DOI: | 10.1177/13524585231152433 |
| Abstrakt: | Background: Remote smartphone-based 2-minute walking tests (s2MWTs) allow frequent and potentially sensitive measurements of ambulatory function. Objective: To investigate the s2MWT on assessment of, and responsiveness to change in ambulatory function in MS. Methods: One hundred two multiple sclerosis (MS) patients and 24 healthy controls (HCs) performed weekly s2MWTs on self-owned smartphones for 12 and 3 months, respectively. The timed 25-foot walk test (T25FW) and Expanded Disability Status Scale (EDSS) were assessed at 3-month intervals. Anchor-based (using T25FW and EDSS) and distribution-based (curve fitting) methods were used to assess responsiveness of the s2MWT. A local linear trend model was used to fit weekly s2MWT scores of individual patients. Results: A total of 4811 and 355 s2MWT scores were obtained in patients ( n = 94) and HC ( n = 22), respectively. s2MWT demonstrated large variability (65.6 m) compared to the average score (129.5 m), and was inadequately responsive to anchor-based change in clinical outcomes. Curve fitting separated the trend from noise in high temporal resolution individual-level data, and statistically reliable changes were detected in 45% of patients. Conclusions: In group-level analyses, clinically relevant change was insufficiently detected due to large variability with sporadic measurements. Individual-level curve fitting reduced the variability in s2MWT, enabling the detection of statistically reliable change in ambulatory function. |
| Databáze: | MEDLINE |
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