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6 Examining Interactions Between Longitudinal, Intraindividual Fluctuations in Cognition and Alzheimer’s Disease Biomarkers to Predict Eventual Disease Progression

Published online by Cambridge University Press:  21 December 2023

Hannah M Wilks*
Affiliation:
Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Carlos Cruchaga
Affiliation:
Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
Anne Fagan
Affiliation:
Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Suzanne Schindler
Affiliation:
Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
John C Morris
Affiliation:
Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Jason Hassenstab
Affiliation:
Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
*
Correspondence: Hannah Wilks, Department of Neurology, Washington University in St. Louis School of Medicine, wilks@wustl.edu
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Abstract

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Objective:

The purpose of the present study was to study the clinical significance of fluctuations in cognitive impairment status in longitudinal studies of normal aging and dementia. Several prior studies have shown fluctuations in cognition in longitudinal studies is associated with greater risk of conversion to dementia. The present study defines “reverters” as participants who revert between cognitive normality and abnormality according to the Clinical Dementia Rating (CDRTM). A defining feature of the CDR at the Knight Alzheimer’s Disease Research Center (Knight ADRC) at Washington University in St. Louis is that the CDR is calculated by clinicians blinded to cognitive data and any prior assessments so that conclusions are drawn free of circularity and examiner bias. We hypothesized reverters, when compared to cognitively normal participants who remain unimpaired, would have worse cognition, abnormal biomarkers, and would eventually progress to a stable diagnosis of cognitive impairment.

Participants and Methods:

From ongoing studies of aging and dementia at the Knight ADRC, we selected cognitively normal participants with at least three follow-up visits. Participants fell into three categories: stable cognitively normal (“stable CN”), converters to stable dementia (“converters”), and reverters. Cognitive scores at each visit were z-scored for comparison between groups. A subset of participants had fluid biomarker data available including cerebrospinal fluid (CSF) amyloid and phosphorylated-tau species, and plasma neurofilament light chain (NfL). Mixed effect models evaluated group relationships between biomarker status, APOE £4 status, and CDR progression.

Results:

930 participants were included in the study with an average of 5 years of follow-up (Table 1). 661 participants remained cognitively normal throughout their participation while 142 progressed to stable dementia and 127 participants had at least one instance of reversion. Compared to stable CN, reverters had more abnormal biomarkers at baseline, were more likely to carry an APOE £4 allele, and had better cognitive performance at baseline (Table 2, Figure 1). Compared to converters, reverters had less abnormal biomarkers at baseline, were less likely to carry an APOE £4 allele, and had overall better cognitive performance at baseline. In longitudinal analyses, cognitive trajectories of reverters exhibited a larger magnitude of decline compared to stable CNs but the magnitude of decline was not as steep as converters.

Conclusions:

Our results confirm prior studies that showed reversion in cognitive status, when compared to stable cognitive normality, is associated with worse overall genetic, biomarker and cognitive outcomes. Longitudinal analyses demonstrated reverters show significantly more decline than stable participants and a higher likelihood of eventual conversion to a stable dementia diagnosis. Reverters’ cognitive trajectories appear to occupy a transitional phase in disease progression between that of cognitive stability and more rapid and consistent progression to stable dementia. Identifying participants in the preclinical phase of AD who are most likely to convert to symptomatic AD is critical for secondary prevention clinical trials. Our results suggest that examining intraindividual variability in cognitive impairment using unbiased, longitudinal CDR scores may be a good indicator of preclinical AD and predict eventual conversion to symptomatic AD.

Type
Poster Session 04: Aging | MCI
Copyright
Copyright © INS. Published by Cambridge University Press, 2023