A robust harmonization approach for cognitive data from multiple aging and dementia cohorts.

ABSTRACT:

Introduction

Although many cognitive measures have been developed to assess cognitive decline due to Alzheimer's disease (AD), there is little consensus on optimal measures, leading to varied assessments across research cohorts and clinical trials making it difficult to pool cognitive measures across studies.

Methods

We used a two-stage approach to harmonize cognitive data across cohorts and derive a cross-cohort score of cognitive impairment due to AD. First, we pool and harmonize cognitive data from international cohorts of varying size and ethnic diversity. Next, we derived cognitive composites that leverage maximal data from the harmonized dataset.

Results

We show that our cognitive composites are robust across cohorts and achieve greater or comparable sensitivity

SUBMITTER: Giorgio J 

PROVIDER: S-EPMC10369372 | biostudies-literature | 2023 Jul-Sep

REPOSITORIES: biostudies-literature