Use of a Smartphone Application to Predict the Prognosis in Patients With Newly Diagnosed Multiple Sclerosis.

NCT04595799 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 240

Last updated 2024-05-17

No results posted yet for this study

Summary

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system for which the investigators now have many treatment alternatives. These treatments have a preventive goal and the data in the literature suggest the interest in rapidly achieving optimal control of the disease in order to decrease the risk of long-term disability progression.

One of the current unmet needs is to have markers that can be used at the individual level to predict the long-term prognosis in order to propose optimal and personalized therapeutic management.

Classically used clinical markers do not meet this need. It is recognized that there is a so-called silent course of MS (not measurable by clinical parameters), which may, after several months or years, be expressed as a physical or cognitive disability.

MRI is the reference examination for monitoring the sub-clinical activity of the disease but it does not allow the neurodegenerative side of the disease to be assessed. Other blood or imaging markers are being studied but are not yet usable in daily practice.

The project aims to evaluate the interest in using digital biomarkers, based on a rapid assessment of patients using a locally developed mobile application (MS Screen Test - MSST) to predict the evolutionary prognosis of the disease.

Conditions

Sponsors & Collaborators

  • Centre Hospitalier Universitaire de Nice

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-11-09
Primary Completion
2025-11-09
Completion
2025-11-09

Countries

  • France

Study Locations

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Entities

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 NCT04595799 on ClinicalTrials.gov