A smartphone sensor-based digital outcome assessment of multiple sclerosis

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 an...

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Detalles Bibliográficos
Autores: Montalban, Xavier|||0000-0002-0098-9918, Graves, Jennifer|||0000-0003-1539-1940, Midaglia, Luciana|||0000-0001-7981-2228, Mulero, P.|||0000-0001-8716-8997, Julian, Laura|||0000-0001-5699-302X, Baker, Michael|||0000-0002-6854-0375, Schadrack, Jan|||0000-0002-2455-5604, Gossens, Christian|||0000-0003-2660-5895, Ganzetti, Marco|||0000-0002-7049-171X, Scotland, Alf|||0000-0001-9590-8617, Lipsmeier, Florian|||0000-0002-8663-819X, van Beek, Johan|||0000-0002-5641-0004, Bernasconi, Corrado|||0000-0002-1019-5468, Belachew, Shibeshih|||0000-0003-3976-1950, Lindemann, Michael|||0000-0003-1010-3890, Hauser, Stephen L.|||0000-0002-4932-4001
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:258148
Acceso en línea:https://ddd.uab.cat/record/258148
https://dx.doi.org/urn:doi:10.1177/13524585211028561
Access Level:acceso abierto
Palabra clave:Multiple sclerosis
Smartphone
Sensors
Digital health technology
Wearable electronic devices
Mobile phone
Descripción
Sumario: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

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