Systematic review: digital biomarkers of fatigue in chronic diseases

This systematic review explores the relationship between digital biomarkers, measured using wearable devices, and fatigue in patients with chronic diseases. Studies included in this review focused on individuals with diseases or conditions in 13 broad categories: multiple sclerosis (MS); rheumatoid arthritis (RA); chronic obstructive pulmonary disease (COPD); long COVID; cancer; chronic fatigue syndrome (CFS); pulmonary sarcoidosis; Parkinson's disease; chronic stroke; chronic inflammatory rheumatic disease (CIRD); Inflammatory Bowel Diseases (IBD), Primary Sjogren's Syndrome (PSS), and Systemic Lupus Erythematosus (SLE). The review synthesizes findings on the correlation between objective digital biomarkers and self-reported fatigue, highlighting the potential for disease-specific digital biomarkers to inform personalized fatigue management. The results suggest that reduced physical activity, increased sedentary behavior and autonomic dysfunction are associated with fatigue levels across multiple disease conditions included in this review, though the strength of this association and the specific biomarkers involved vary across diseases.

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Publication Details

Journal
npj Digital Medicine
Published
2025-10-08
DOI
https://doi.org/10.1038/s41746-025-01939-x
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Systematic review: digital biomarkers of fatigue in chronic diseases

Chloe Hinchliffe, Kenneth F. Baker, Wan‐Fai Ng, Silvia Del Din et al.
npj Digital Medicine
Fibromyalgia and Chronic Fatigue Syndrome Research
article

Systematic review: digital biomarkers of fatigue in chronic diseases

Chloe Hinchliffe, Kenneth F. Baker, Wan‐Fai Ng, Silvia Del Din, Mark R. Baker, Nana Yaw Aboagye
article en

Abstract

This systematic review explores the relationship between digital biomarkers, measured using wearable devices, and fatigue in patients with chronic diseases. Studies included in this review focused on individuals with diseases or conditions in 13 broad categories: multiple sclerosis (MS); rheumatoid arthritis (RA); chronic obstructive pulmonary disease (COPD); long COVID; cancer; chronic fatigue syndrome (CFS); pulmonary sarcoidosis; Parkinson's disease; chronic stroke; chronic inflammatory rheumatic disease (CIRD); Inflammatory Bowel Diseases (IBD), Primary Sjogren's Syndrome (PSS), and Systemic Lupus Erythematosus (SLE). The review synthesizes findings on the correlation between objective digital biomarkers and self-reported fatigue, highlighting the potential for disease-specific digital biomarkers to inform personalized fatigue management. The results suggest that reduced physical activity, increased sedentary behavior and autonomic dysfunction are associated with fatigue levels across multiple disease conditions included in this review, though the strength of this association and the specific biomarkers involved vary across diseases.

npj Digital MedicineVol. 8(1)
University College Cork (IE), Royal Victoria Infirmary (GB), Newcastle upon Tyne Hospitals NHS Foundation Trust (GB), NIHR Newcastle Biomedical Research Centre (GB), Newcastle University (GB)
UK Research and Innovation, National Institute for Health and Care Research, Department of Health and Social Care, Newcastle University, Newcastle upon Tyne Hospitals NHS Foundation Trust, Engineering and Physical Sciences Research Council, NIHR Newcastle Biomedical Research Centre, Cooperative Research Facility Center, Toyohashi University of Technology
Openalex Percentile: Top 66%
Fibromyalgia and Chronic Fatigue Syndrome Research
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