Mayo-PACC: A parsimonious preclinical Alzheimer's disease cognitive composite comprised of public-domain measures to facilitate clinical translation

Nikki H. Stricker, Erin L. Twohy, Sabrina M. Albertson, Aimee J. Karstens, Walter K. Kremers, Mary M. Machulda, Julie A Fields, Clifford R Jr. Jack, David S Knopman, Michelle M Mielke, Ronald C. Petersen

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: We aimed to define a Mayo Preclinical Alzheimer's disease Cognitive Composite (Mayo-PACC) that prioritizes parsimony and use of public domain measures to facilitate clinical translation. Methods: Cognitively unimpaired participants aged 65 to 85 at baseline with amyloid PET imaging were included, yielding 428 amyloid negative (A-) and 186 amyloid positive (A+) individuals with 7 years mean follow-up. Sensitivity to amyloid-related cognitive decline was examined using slope estimates derived from linear mixed models (difference in annualized change across A+ and A- groups). We compared differences in rates of change between Mayo-PACC and other composites (A+ > A- indicating more significant decline in A+). Results: All composites showed sensitivity to amyloid-related longitudinal cognitive decline (A+ > A- annualized change p < 0.05). Comparisons revealed that Mayo-PACC (AVLT sum of trials 1-5+6+delay, Trails B, animal fluency) showed comparable longitudinal sensitivity to other composites. Discussion: Mayo-PACC performs similarly to other composites and can be directly translated to the clinic.

Original languageEnglish (US)
JournalAlzheimer's and Dementia
DOIs
StateAccepted/In press - 2022

Keywords

  • ADCS-PACC
  • aging
  • amyloid
  • biomarker
  • cognitive decline
  • cognitive outcome measure
  • embedded pragmatic clinical trials
  • global cognition
  • longitudinal
  • neuropsychology
  • PACC-R
  • practice effect
  • reliability
  • validity

ASJC Scopus subject areas

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

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