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

MS Screen Test: Using a Smartphone Application to Predict the Prognosis in Patients With Newly Diagnosed Multiple Sclerosis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04595799
Acronym
MSST
Enrollment
240
Registered
2020-10-22
Start date
2020-11-09
Completion date
2025-11-09
Last updated
2024-05-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Multiple Sclerosis

Brief 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.

Interventions

None listed

Sponsors

Centre Hospitalier Universitaire de Nice
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
No

Inclusion criteria

* Patient between 18 and 60 years of age * Presenting a diagnosis of relapsing-remitting MS defined according to McDonald 2017 criteria confirmed within 6 months prior to inclusion * Starting first-line treatment (interferon beta, glatiramer acetate, teriflunomide, dimethyl fumarate) * Having an encephalic and cervical MRI in OFSEP format, within 6 months prior to inclusion * No relapse within 30 days prior to inclusion

Exclusion criteria

* presence of a motor, visual or cognitive deficit not related to MS

Design outcomes

Primary

MeasureTime frameDescription
speed test in MMST results12 monthsthe average speed (in taps per second or Hz) for the dominant and non-dominant hand
agility test in MMST results12 monthstime required (in seconds) to bring the ball to the target as well as the actual time the ball will be held inside the target (expressed as a percentage of the total recording time)
synchronization test in MMST results12 monthsthe average time interval expressed in milliseconds separating the left and right index strokes.
visual test in MMST results12 monthsnumber of letters seen
Cognitive test in MMST results12 monthsthe average response latency (the time in milliseconds between the display and the click on a good answer) expressed in milliseconds, the number of wrong answers as well as the number of missed letters. the average response latency is the combination of multiple measurements (time of response, number of wrong answers and number of missed letters.

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026