Baseline characterization of the ARMADA (Assessing Reliable Measurement in Alzheimer's Disease) study cohorts

IntroductionThe National Institutes of Health (NIH) Toolbox (NIHTB) provides computerized measures of cognition, emotion, sensation, and motor abilities across the lifespan. The ARMADA (Assessing Reliable Measurement in Alzheimer's Disease and Cognitive Aging) study validated the NIHTB in individuals across the cognitive aging spectrum. This article reports the characteristics of our sample of participants. MethodsParticipants were recruited across nine sites and classified clinically as cognitively normal (NC), with mild cognitive impairment (MCI), or with dementia of the Alzheimer's type (DAT.) They completed the NIHTB at multiple time points and many had at least one Alzheimer's biomarker previously obtained. ResultsGroups differed with respect to dementia severity levels, as anticipated, but were well-matched across many demographic characteristics. DiscussionThe ARMADA study demographics and baseline characteristics provide a suitable sample for validating the NIHTB across the cognitive aging spectrum. Other enriched samples (African American participants, Spanish NIHTB, 85+ years of age) will be reported elsewhere. HighlightsThere is a need for assessments that can detect the early stages of cognitive decline in older adults.The ARMADA (Assessing Reliable Measurement in Alzheimer's Disease and Cognitive Aging) study will validate the National Institutes of Health (NIH) Toolbox across the aging spectrum, including mild cognitive impairment (MCI) and dementia of the Alzheimer's type (DAT).Here we report the characteristics of participants.Groups were well-matched across most demographic characteristics, and clinical characteristics differed as expected.ARMADA study cohorts reflect their respective clinical syndromes for validating the NIH Toolbox.

Automated summary

This article reports on the characteristics of participants in the ARMADA study, which aims to validate the NIH Toolbox across the cognitive aging spectrum. The study sample includes individuals with normal cognition, mild cognitive impairment, and dementia of the Alzheimer's type. The results indicate that the groups had well-matched demographic characteristics, while their clinical characteristics differed as expected.