8/09/2026
A literature review of PsA symptoms, flare-related factors, monitoring approaches, predictive models and relevant datasets
iPROLEPSIS has published an updated report on the state of the art in psoriatic arthritis (PsA), covering disease symptoms, flare-related factors, monitoring approaches, predictive modelling and relevant datasets.
The report reviews current knowledge on PsA and its heterogeneous manifestations, which can affect physical function and quality of life. It also examines factors that may be associated with disease flares and approaches for monitoring symptoms and disease activity.
Fatigue, pain and stiffness are among the commonly reported symptoms of PsA. While no specific risk factors for flare are currently known, previous literature suggests that flare may be triggered by changes in mood, stress, sleep, bowel movements and environmental factors. Physical activity and motor skills may also be affected as a consequence of flare.
The report reviews clinical and digital approaches for measuring PsA symptoms and related factors. These include questionnaires and clinical assessments, as well as smartphones and wearable devices for monitoring physical activity, fine motor skills, heart rate and heart rate variability. Imaging-based approaches, biological factors and data-driven predictive models are also considered.
The report includes:
Current knowledge on PsA symptoms and factors potentially associated with flare
Clinical, digital, imaging and biological approaches for disease monitoring
Use of smartphones and wearables to measure physical activity, motor skills and physiological signals
Approaches to predictive modelling for PsA disease activity and progression
Relevant multi-source datasets for research on PsA inflammation drivers, digital biomarkers and predictive models
Evidence related to lifestyle recommendations and serious games
The reviewed literature, identified datasets and predictive modelling approaches will contribute to further iPROLEPSIS research on PsA monitoring, inflammation drivers, digital biomarkers, lifestyle recommendations and serious games.
Read the full report on Zenodo: https://zenodo.org/records/22655757
