A smartphone sensor-based digital outcome assessment of multiple sclerosis.
Multiple sclerosis
digital health technology
mobile phone
sensors
smartphone
wearable electronic devices
Journal
Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
pubmed:
15
7
2021
medline:
5
4
2022
entrez:
14
7
2021
Statut:
ppublish
Résumé
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 ( The Floodlight PoC app captures reliable and clinically relevant measures of functional impairment in MS, supporting its potential use in clinical research and practice.
Sections du résumé
BACKGROUND
Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS) research and clinical care.
OBJECTIVE
The aim of this study is to assess performance characteristics of the Floodlight Proof-of-Concept (PoC) app.
METHODS
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.
RESULTS
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 (
CONCLUSION
The Floodlight PoC app captures reliable and clinically relevant measures of functional impairment in MS, supporting its potential use in clinical research and practice.
Identifiants
pubmed: 34259588
doi: 10.1177/13524585211028561
pmc: PMC8961252
doi:
Banques de données
ClinicalTrials.gov
['NCT02952911']
Types de publication
Clinical Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
654-664Références
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