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Association Between Cognitive Trajectories and Disability Progression in Patients With Relapsing-Remitting Multiple Sclerosis.

Daniel MerloJim StankovichClaire BaiTomas KalincikChao ZhuMelissa GresleJeannette Lechner-ScottTrevor KilpatrickMichael BarnettBruce V TaylorDavid DarbyHelmut ButzkuevenAnneke Van Der Walt
Published in: Neurology (2021)
Latent class modeling of longitudinal cognitive data collected by a computerized battery identified patients with worsening reaction times and increased risk of disability progression. Slower baseline reaction time, age, and disability increased assignment into this trajectory. Monitoring of cognition in clinical practice with computerized tests may enable detection of cognitive change trajectories and people with relapsing-remitting multiple sclerosis at risk of disability progression.
Keyphrases
  • multiple sclerosis
  • white matter
  • clinical practice
  • depressive symptoms
  • clinical decision support
  • electronic health record
  • cross sectional
  • machine learning
  • artificial intelligence
  • quantum dots
  • sensitive detection