Journal article

A classification algorithm for predicting progression from normal cognition to mild cognitive impairment across five cohorts: The preclinical AD consortium

AL Gross, JJ Hassenstab, SC Johnson, LR Clark, SM Resnick, M Kitner-Triolo, CL Masters, P Maruff, JC Morris, A Soldan, C Pettigrew, MS Albert

Alzheimer S and Dementia Diagnosis Assessment and Disease Monitoring | Published : 2017

Abstract

Introduction We established a method for diagnostic harmonization across multiple studies of preclinical Alzheimer's disease and validated the method by examining its relationship with clinical status and cognition. Methods Cognitive and clinical data were used from five studies (N = 1746). Consensus diagnoses established in each study used criteria to identify progressors from normal cognition to mild cognitive impairment. Correspondence was evaluated between these consensus diagnoses and three algorithmic classifications based on (1) objective cognitive impairment in 2+ tests only; (2) a Clinical Dementia Rating (CDR) of ≥0.5 only; and (3) both. Associations between baseline cognitive perf..

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University of Melbourne Researchers