To explore the relationship between digital biomarkers from wearable devices and fatigue in patients with various chronic diseases.
Key Findings:
Reduced physical activity, increased sedentary behavior, and autonomic dysfunction are associated with fatigue levels across multiple chronic diseases.
The strength of the association and specific biomarkers vary across different diseases, highlighting the need for disease-specific approaches.
Digital biomarkers can complement self-reported fatigue measures, providing a more comprehensive understanding of fatigue.
Interpretation:
Digital biomarkers provide an objective means to measure fatigue, which is often subjective and varies widely among individuals with chronic illnesses, emphasizing the importance of integrating these measures with self-reported data.
Limitations:
Variability in study quality and design among the included articles.
Limited generalizability due to the focus on specific chronic diseases.
Potential biases in self-reported fatigue measures may affect the findings.
Conclusion:
Digital biomarkers represent a promising approach to monitor and manage fatigue in chronic diseases, potentially leading to personalized care strategies.
