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Longitudinal Trajectories of Participant- and Study Partner-Rated Cognitive Decline, in Relation to Alzheimer's Disease Biomarkers and Mood Symptoms

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Specialty Geriatrics
Date 2022 Feb 17
PMID 35173601
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Abstract

Whereas discrepancies between participant- and study partner-reported cognitive concerns on the Alzheimer's disease (AD) continuum have been observed, more needs to be known regarding the longitudinal trajectories of participant- vs. study partner-reported concerns, particularly their relationship to AD biomarkers and mood symptomology. Additionally, it is unclear whether years of in-clinic data collection are needed to observe relationships with AD biomarkers, or whether more frequent, remote assessments over shorter periods of time would suffice. This study primarily sought to examine the relationships between longitudinal trajectories of participant- and study partner-rated cognitive decline and baseline biomarker levels [i.e., amyloid and tau positron emission tomography (PET)], in addition to how mood symptomatology may alter these trajectories of concerns over a 2-year period. Baseline mood was associated with longitudinal participant-rated concerns, such that participants with elevated depression and anxiety scores at baseline had decreasing concerns about cognitive decline over time (fixed estimate = -0.17, 95% CI [-0.29 to -0.05], = -2.75, df = 457, adj. = 0.012). A significant interaction between baseline amyloid (fixed estimate = 4.07, 95% CI [1.13-7.01], = 2.72, df = 353, adj. = 0.026) and tau (fixed estimate = 3.50, 95% CI [0.95-6.06], = 2.70, df = 331, adj. = 0.030) levels was associated with increasing study partner concerns, but not participant concerns, over time. The interaction between amyloid and study partner concerns remained significant when utilizing only the first year of concern-related data collection. Overall, these results suggest that frequent, remote assessment of study partner-reported concerns may offer additional insight into the AD clinical spectrum, as study partners appear to more accurately update their concerns over time with regard to pathology, with these concerns less influenced by participants' mood symptomatology.

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References
1.
Geddes M, OConnell M, Fisk J, Gauthier S, Camicioli R, Ismail Z . Remote cognitive and behavioral assessment: Report of the Alzheimer Society of Canada Task Force on dementia care best practices for COVID-19. Alzheimers Dement (Amst). 2020; 12(1):e12111. PMC: 7507991. DOI: 10.1002/dad2.12111. View

2.
Buckley R, Mormino E, Amariglio R, Properzi M, Rabin J, Lim Y . Sex, amyloid, and APOE ε4 and risk of cognitive decline in preclinical Alzheimer's disease: Findings from three well-characterized cohorts. Alzheimers Dement. 2018; 14(9):1193-1203. PMC: 6131023. DOI: 10.1016/j.jalz.2018.04.010. View

3.
Delacourte A, Sergeant N, Wattez A, Maurage C, Lebert F, Pasquier F . Tau aggregation in the hippocampal formation: an ageing or a pathological process?. Exp Gerontol. 2002; 37(10-11):1291-6. DOI: 10.1016/s0531-5565(02)00141-9. View

4.
Amariglio R, Mormino E, Pietras A, Marshall G, Vannini P, Johnson K . Subjective cognitive concerns, amyloid-β, and neurodegeneration in clinically normal elderly. Neurology. 2015; 85(1):56-62. PMC: 4501939. DOI: 10.1212/WNL.0000000000001712. View

5.
Jafari M, Ansari-Pour N . Why, When and How to Adjust Your P Values?. Cell J. 2018; 20(4):604-607. PMC: 6099145. DOI: 10.22074/cellj.2019.5992. View