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PsA Digital Phenotyping and Inflammation Drivers Study

NCT06347237 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2024-04-04

No results posted yet for this study

Summary

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

Conditions

Sponsors & Collaborators

  • University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences

    collaborator UNKNOWN

  • Aristotle University Of Thessaloniki

    collaborator OTHER

  • Portuguese Society of Rheumatology - The Rheumatic Diseases Portuguese Registry (Reuma.pt)

    collaborator UNKNOWN

  • Jolanda Luime

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-05-31
Primary Completion
2025-12-31
Completion
2025-12-31

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06347237 on ClinicalTrials.gov