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A multimodal, longitudinal study of cognitive heterogeneity in early-onset Alzheimer's disease.

Marianne PolletEmilie SkrobalaRenaud LopesGrégory KuchcinskiCécile BordierAdeline Rollin-SillaireStéphanie BomboisFlorence PasquierXavier Delbeuck
Published in: European journal of neurology (2021)
By applying a k-means clustering analysis, we identified two clusters of patients in an EOAD cohort. The clusters differed with regard to certain clinical, imaging, and laboratory characteristics. This clustering procedure might be of value for managing patients with EOAD in general and for identifying those at risk of more rapid decline in particular.
Keyphrases
  • early onset
  • single cell
  • end stage renal disease
  • late onset
  • ejection fraction
  • newly diagnosed
  • rna seq
  • chronic kidney disease
  • prognostic factors
  • minimally invasive
  • patient reported outcomes
  • chronic pain