Diagnostic accuracy of the Cogstate Brief Battery for prevalent MCI and prodromal AD (MCI A+T+) in a population-based sample

Eva C. Alden, Shehroo B. Pudumjee, Emily S. Lundt, Sabrina M. Albertson, Mary M. Machulda, Walter K. Kremers, Clifford R. Jack, David S. Knopman, Ronald C. Petersen, Michelle M. Mielke, Nikki H. Stricker

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: This study evaluated the diagnostic accuracy of the Cogstate Brief Battery (CBB) for mild cognitive impairment (MCI) and prodromal Alzheimer's disease (AD) in a population-based sample. Methods: Participants included adults ages 50+ classified as cognitively unimpaired (CU, n = 2866) or MCI (n = 226), and a subset with amyloid (A) and tau (T) positron emission tomography who were AD biomarker negative (A–T–) or had prodromal AD (A+T+). Results: Diagnostic accuracy of the Learning/Working Memory Composite (Lrn/WM) for discriminating all CU and MCI was moderate (area under the curve [AUC] = 0.75), but improved when discriminating CU A–T– and MCI A+T+ (AUC = 0.93) and when differentiating MCI participants without AD biomarkers from those with prodromal AD (AUC = 0.86). Conventional cut-offs yielded lower than expected sensitivity for both MCI (38%) and prodromal AD (73%). Discussion: Clinical utility of the CBB for detecting MCI in a population-based sample is lower than expected. Caution is needed when using currently available CBB normative data for clinical interpretation.

Original languageEnglish (US)
Pages (from-to)584-594
Number of pages11
JournalAlzheimer's and Dementia
Volume17
Issue number4
DOIs
StatePublished - Apr 2021

Keywords

  • Alzheimer's disease
  • amyloid
  • cognigram
  • memory
  • mild cognitive impairment
  • neuropsychology
  • one back
  • one card learning
  • sensitivity and specificity
  • tau

ASJC Scopus subject areas

  • Epidemiology
  • Health Policy
  • Developmental Neuroscience
  • Clinical Neurology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

Fingerprint

Dive into the research topics of 'Diagnostic accuracy of the Cogstate Brief Battery for prevalent MCI and prodromal AD (MCI A<sup>+</sup>T<sup>+</sup>) in a population-based sample'. Together they form a unique fingerprint.

Cite this