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Lookup NU author(s): Dr Rana RehmanORCiD, Victoria Macrae, Dr Kristen Davies, Professor Fai NgORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Copyright © 2022 Antikainen, Njoum, Kudelka, Branco, Rehman, Macrae, Davies, Hildesheim, Emmert, Reilmann, Janneke van der Woude, Maetzler, Ng, O’Donnell, Van Gassen, Baribaud, Pandis, Manyakov, van Gils, Ahmaniemi and Chatterjee.Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and often rated among the most disabling symptoms, impairing their activities of daily living and the health-related quality of life (HRQoL). Currently, they are evaluated primarily via Patient Reported Outcomes (PROs), which can suffer from recall biases and have limited sensitivity to temporal variations. Objective measurements from wearable sensors allow to reliably quantify disease state, changes in the HRQoL, and evaluate therapeutic outcomes. This work investigates the feasibility of capturing continuous physiological signals from an electrocardiography-based wearable device for remote monitoring of fatigue and sleep and quantifies the relationship of objective digital measures to self-reported fatigue and sleep disturbances. 136 individuals were followed for a total of 1,297 recording days in a longitudinal multi-site study conducted in free-living settings and registered with the German Clinical Trial Registry (DRKS00021693). Participants comprised healthy individuals (N = 39) and patients with neurodegenerative disorders (NDD, N = 31) and immune mediated inflammatory diseases (IMID, N = 66). Objective physiological measures correlated with fatigue and sleep PROs, while demonstrating reasonable signal quality. Furthermore, analysis of heart rate recovery estimated during activities of daily living showed significant differences between healthy and patient groups. This work underscores the promise and sensitivity of novel digital measures from multimodal sensor time-series to differentiate chronic patients from healthy individuals and monitor their HRQoL. The presented work provides clinicians with realistic insights of continuous at home patient monitoring and its practical value in quantitative assessment of fatigue and sleep, an area of unmet need.
Author(s): Antikainen E, Njoum H, Kudelka J, Branco D, Rehman RZU, Macrae V, Davies K, Hildesheim H, Emmert K, Reilmann R, Janneke van der Woude C, Maetzler W, Ng W-F, O'Donnell P, Van Gassen G, Baribaud F, Pandis I, Manyakov NV, van Gils M, Ahmaniemi T, Chatterjee M
Publication type: Article
Publication status: Published
Journal: Frontiers in Physiology
Year: 2022
Volume: 13
Online publication date: 14/11/2022
Acceptance date: 31/10/2022
Date deposited: 13/12/2022
ISSN (electronic): 1664-042X
Publisher: Frontiers Media S.A.
URL: https://doi.org/10.3389/fphys.2022.968185
DOI: 10.3389/fphys.2022.968185
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