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Lookup NU author(s): Professor Fai Ng
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© 2024 Elsevier Ltd. Common to all inflammatory arthritides, namely rheumatoid arthritis, psoriatic arthritis, axial spondyloarthritis, and juvenile idiopathic arthritis, is a potential for reduced mobility that manifests through joint pain, swelling, stiffness, and ultimately joint damage. Across these conditions, consensus has been reached on the need to capture outcomes related to mobility, such as functional capacity and physical activity, as core domains in randomised controlled trials. Existing endpoints within these core domains rely wholly on self-reported questionnaires that capture patients' perceptions of their symptoms and activities. These questionnaires are subjective, inherently vulnerable to recall bias, and do not capture the granularity of fluctuations over time. Several early adopters have integrated sensor-based digital health technology (DHT)-derived endpoints to measure physical function and activity in randomised controlled trials for conditions including Parkinson's disease, Duchenne's muscular dystrophy, chronic obstructive pulmonary disease, and heart failure. Despite these applications, there have been no sensor-based DHT-derived endpoints in clinical trials recruiting patients with inflammatory arthritis. Borrowing from case studies across medicine, we outline the opportunities and challenges in developing novel sensor-based DHT-derived endpoints that capture the symptoms and disease manifestations most relevant to patients with inflammatory arthritis.
Author(s): McGagh D, Song K, Yuan H, Creagh AP, Fenton S, Ng W-F, Goldsack JC, Dixon WG, Doherty A, Coates LC
Publication type: Review
Publication status: Published
Journal: The Lancet Rheumatology
Year: 2024
Pages: ePub ahead of Print
Online publication date: 29/07/2024
Acceptance date: 02/04/2018
ISSN (electronic): 2665-9913
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/S2665-9913(24)00186-3
DOI: 10.1016/S2665-9913(24)00186-3
