PsA Digital Phenotyping and Inflammation Drivers Study (PDPID)

Jolanda Luime

Status: Not yet enrolling

Conditions: Flare Up, Symptom; Psoriatic Arthritis; Psoriatic Arthritis Aggravated

Study type: Observational

Funder types: Other

Identifiers

NCT06347237

NL84429.078.23

Details and patient eligibility

About

The goal of this observational study is to develop and internally validate a machine learning model for detecting flare using a digital biomarker and a machine learning model for predicting flare, in patients with psoriatic arthritis. The main questions it aims to answer are:

• In patients with psoriatic arthritis, is a digital biomarker capable of detecting a flare as compared to clinical defined flare by the rheumatologist?
• In patients with psoriatic arthritis, what factors trigger a psoriatic arthritis flare ?

Participants will be requested to:

• Install app on their phone
• Use a smartwatch
• Complete questionnaires
• Collect biological material

Enrollment: 600 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Diagnosed with PsA
• Age 18 years or older and competent
• Using a smartphone
• Agree to use smartwatch
• Good command of the local language

Exclusion criteria

• Less than 18 years of age
• Incapacitated