arthritis psoriatica
Conditions
Interventions
None listed
Sponsors
Erasmus MC, Universitair Medisch Centrum Rotterdam
Eligibility
Age
18 Years to 99 Years
Inclusion criteria
Inclusion criteria: active disease defined as not in MDA - 45 patients inactive disease defined as in MDA - 45 patients healthy controls - 30 subjects
Exclusion criteria
Exclusion criteria: other disease that linfluence movement such CVA, prostethic limb etc in patients, and sport trauma in healthy controls
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Digital Measures Raw smartphone data shall be translated into behavioural vectors for physical activity, sleep and mood. Like previously done for Parkinson in i.prognosis a feature extraction and classification pipeline will be set up to classify subjects with high and low disease activity. - Keypad time-related data and metadata - Accelerometer and gyroscope sensor data - Video recordings of joint movements - Screen time Clinical Assessment: Clinical evaluation of joints, tendons and skin, inflammatory bloodmarkers (usual care), VAS global and HAQ leading to the calculation of: - Minimal disease Activity (MDA) - Psoriatic Arthritis Disease Activity Score (PASDAS) - Disease Activity Psoriatic Arthritis (DAPSA) Daily Questions Likert scale assessment within the smartphone app. will provide us with information to assess the disease symptoms over time outside the window of the clinical assessment of disease activity. - Pain. When in pain, follow-up question: *did you use painkillers or NSAIDs?* - Stiffness - Tiredness Amendments: none | — |
Secondary
| Measure | Time frame |
|---|---|
| none | — |
Countries
Netherlands
Outcome results
None listed