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Cognitive impairment affects up to 56% of patients with multiple sclerosis (pwMS)
Although traditional neuropsychological tests are specific to cognitive impairment, they cannot reliably detect cognitive changes related to multiple sclerosis in the "normal" range
However, these require testers, so due to resource constraints, they are not implemented in routine practice
Computer testing that continuously evaluates the reaction time can fill the gaps in routine monitoring
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In this study, Daniel Merlo and others at Monash University in Australia used MS Reactor reaction time-based tasks to continuously assess the cognitive performance of patients with relapsing-remitting multiple sclerosis (RRMS)
An unsupervised mixed model of latent classes was then used to determine discrete latent cognitive trajectories, and demographic and clinical prognostic factors were evaluated in order to classify cases into each trajectory
A total of 460 patients with relapsing-remitting multiple sclerosis were included in the analysis
All MSReactor tasks can identify high-probability groups with slower reaction times
Latent-type modeling of longitudinal cognitive data collected by computerized batteries identified patients with worsening reaction time and increased risk of disability progression
Using computerized tests to monitor cognition in clinical practice may find the trajectory of cognitive changes and patients with relapsing-remitting multiple sclerosis who are at risk of disability progression
Association Between Cognitive Trajectories and Disability Progression in Patients With Relapsing-Remitting Multiple Sclerosis.
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