A smartphone sensor-based digital outcome assessment of multiple sclerosis
Montalban, Xavier ![Identificador ORCID](/img/uab/orcid.ico)
(Hospital Universitari Vall d'Hebron)
Graves, Jennifer ![Identificador ORCID](/img/uab/orcid.ico)
(University of California San Diego)
Midaglia, Luciana ![Identificador ORCID](/img/uab/orcid.ico)
(Hospital Universitari Vall d'Hebron)
Mulero, P. ![Identificador ORCID](/img/uab/orcid.ico)
(Hospital Universitari Vall d'Hebron)
Julian, Laura ![Identificador ORCID](/img/uab/orcid.ico)
(Genentech (Estats Units d'Amèrica))
Baker, Michael ![Identificador ORCID](/img/uab/orcid.ico)
(F. Hoffmann-La Roche (Suïssa))
Schadrack, Jan
(F. Hoffmann-La Roche (Suïssa))
Gossens, Christian
(F. Hoffmann-La Roche (Suïssa))
Ganzetti, Marco
(F. Hoffmann-La Roche (Suïssa))
Scotland, Alf
(F. Hoffmann-La Roche (Suïssa))
Lipsmeier, Florian
(F. Hoffmann-La Roche (Suïssa))
van Beek, Johan
(F. Hoffmann-La Roche (Suïssa))
Bernasconi, Corrado
(F. Hoffmann-La Roche (Suïssa))
Belachew, Shibeshih
(F. Hoffmann-La Roche (Suïssa))
Lindemann, Michael
(F. Hoffmann-La Roche (Suïssa))
Hauser, Stephen L.
(University of California)
Data: |
2021 |
Resum: |
Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS) research and clinical care. The aim of this study is to assess performance characteristics of the Floodlight Proof-of-Concept (PoC) app. In a 24-week study (clinicaltrials. gov: NCT02952911), smartphone-based active tests and passive monitoring assessed cognition (electronic Symbol Digit Modalities Test), upper extremity function (Pinching Test, Draw a Shape Test), and gait and balance (Static Balance Test, U-Turn Test, Walk Test, Passive Monitoring). Intraclass correlation coefficients (ICCs) and age- or sex-adjusted Spearman's rank correlation determined test-retest reliability and correlations with clinical and magnetic resonance imaging (MRI) outcome measures, respectively. Seventy-six people with MS (PwMS) and 25 healthy controls were enrolled. In PwMS, ICCs were moderate-to-good (ICC(2,1) = 0. 61-0. 85) across tests. Correlations with domain-specific standard clinical disability measures were significant for all tests in the cognitive (r = 0. 82, p < 0. 001), upper extremity function (|r|= 0. 40-0. 64, all p < 0. 001), and gait and balance domains (r = −0. 25 to −0. 52, all p < 0. 05; except for Static Balance Test: r = −0. 20, p > 0. 05). Most tests also correlated with Expanded Disability Status Scale, 29-item Multiple Sclerosis Impact Scale items or subscales, and/or normalized brain volume. The Floodlight PoC app captures reliable and clinically relevant measures of functional impairment in MS, supporting its potential use in clinical research and practice. |
Drets: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. ![Creative Commons](/img/licenses/by-nc.ico) |
Llengua: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Matèria: |
Multiple sclerosis ;
Smartphone ;
Sensors ;
Digital health technology ;
Wearable electronic devices ;
Mobile phone |
Publicat a: |
Multiple sclerosis, Vol. 28 (july 2021) , p. 654-664, ISSN 1477-0970 |
DOI: 10.1177/13524585211028561
PMID: 34259588
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Registre creat el 2022-04-26, darrera modificació el 2024-05-22