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Establishment of a Valuable Mimic of Alzheimer's Disease in Rat Animal Model by Intracerebroventricular Injection of Composited Amyloid Beta Protein
Published on: July 29, 2018
Data‑driven cognitive composites predict Aβ‑related decline and progression to MCI: the ADOPIC study
Bhargav Tallapragada1,2, Brook Galna1,3,4, Rosita Shishegar5,6
1Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.
Introduction:
Cognitive composites offer greater sensitivity to amyloid beta (Aβ)-related decline compared to individual tests for tracking longitudinal cognitive change. We developed and validated data-driven composites from the harmonized Alzheimer's Dementia Onset and Progression in International Cohorts (ADOPIC) study, addressing gaps in psychometric reporting and multi-cohort validation.
Methods:
The study included 1964 cognitively unimpaired (CU) participants at baseline (longitudinal subset = 1110). Principal component analysis-derived domain-specific and general cognitive composites were evaluated for psychometric properties, sensitivity to Aβ-related decline, and mild cognitive impairment (MCI) progression prediction compared to the Alzheimer's Disease Cooperative Study - Preclinical Alzheimer's Cognitive Composite (ADCS-PACC).
Results:
Proposed composites demonstrated good to excellent psychometric properties and sensitivity to differentiating CU Aβ trajectories (p < 0.001). General cognition demonstrated longitudinal sensitivity comparable to the ADCS-PACC (d = -0.20) and equivalent classification performance (area under the receiver operating characteristic curve = 0.70). All composites significantly predicted MCI progression (p < 0.001).
Discussion:
The composites perform comparably to the ADCS-PACC, developed for CU with Aβ, in longitudinal sensitivity while providing comprehensive psychometric characterization and domain-specific measurement, supporting their utility as outcome measures in preclinical Alzheimer's disease studies.
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