- Montalban, Xavier;
- Graves, Jennifer;
- Midaglia, Luciana;
- Mulero, Patricia;
- Julian, Laura;
- Baker, Michael;
- Schadrack, Jan;
- Gossens, Christian;
- Ganzetti, Marco;
- Scotland, Alf;
- Lipsmeier, Florian;
- van Beek, Johan;
- Bernasconi, Corrado;
- Belachew, Shibeshih;
- Lindemann, Michael;
- Hauser, Stephen L
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 (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.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.