Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Apr 24, 2024
Date Accepted: Jul 25, 2024

The final, peer-reviewed published version of this preprint can be found here:

Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study

Kratz AL, Ehde DM, Alschuler KN, Pickup K, Ginell K, Fritz NE

Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study

JMIR Res Protoc 2024;13:e59876

DOI: 10.2196/59876

PMID: 39325510

PMCID: 11467611

Optimizing detection and prediction of cognitive function in multiple sclerosis with ambulatory cognitive tests: Protocol for the longitudinal observational “CogDetect-MS” study

  • Anna Louise Kratz; 
  • Dawn M. Ehde; 
  • Kevin N. Alschuler; 
  • Kristen Pickup; 
  • Keara Ginell; 
  • Nora E. Fritz

ABSTRACT

Background:

Cognitive dysfunction is a common, distressing, and disabling problem in multiple sclerosis (MS). Progress toward understanding and treating cognitive dysfunction is thwarted by limitations of traditional clinic or lab-based cognitive tests, which suffer from poor sensitivity to change and ecological validity. Ambulatory methods of assessing cognitive function in the lived environment offer the potential to improve detection of subtle changes in cognitive function in MS and better understand the predictors of cognitive changes and downstream effects of cognitive change on other functional domains.

Objective:

This paper describes the study design and protocol for the CogDetect-MS study, a 2-year longitudinal observational study designed to examine short- and long-term changes in cognition, predictors of cognitive change, and effects of cognitive change on social and physical function in people with MS.

Methods:

Participants – ambulatory adults ages 18 years or older with medically documented MS - are assessed over the course of two years on an annual basis (three assessments total: T1, T2, T3). A comprehensive survey battery, in-lab cognitive and physical performance tests, and 14 days of ambulatory data collection are completed at each annual assessment. The 14-day ambulatory data collection includes continuous wrist-worn accelerometry (to measure daytime activity and sleep) and ecological momentary assessments (real-time self-report) of somatic symptoms, mood, and contextual factors and 2 brief, validated cognitive tests, administered by smartphone app 4 times per day. Our aim was to recruit 250 adults with MS.

Results:

The study has recruited and collected T1 data from N=260 adults with MS. Follow-up data collection will continue through March 2026.

Conclusions:

Results from the CogDetect-MS study will shed new light on the temporal dynamics of cognitive function, somatic and mood symptoms, sleep, physical activity, and physical and social function. These insights have the potential to improve our understanding of changes in cognitive function in MS and enable us to generate new interventions to maintain or improve cognitive function in those with MS. Clinical Trial: NCT05252195


 Citation

Please cite as:

Kratz AL, Ehde DM, Alschuler KN, Pickup K, Ginell K, Fritz NE

Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study

JMIR Res Protoc 2024;13:e59876

DOI: 10.2196/59876

PMID: 39325510

PMCID: 11467611

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.