Subjective cognitive complaint and biomarkers of Alzheimer’s disease
Details

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Version: After imprimatur
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Serval ID
serval:BIB_FD78CED2DBED
Type
A Master's thesis.
Publication sub-type
Master (thesis) (master)
Collection
Publications
Institution
Title
Subjective cognitive complaint and biomarkers of Alzheimer’s disease
Director(s)
POPP J.
Codirector(s)
ZULLO L., CLARK C.
Institution details
Université de Lausanne, Faculté de biologie et médecine
Publication state
Accepted
Issued date
2023
Language
english
Number of pages
28
Abstract
Background: Subjective cognitive complaint (SCC) is common in older adults. It may represent the earliest clinical manifestation of cognitive decline and Alzheimer’s disease (AD). Objectives: 1) to evaluate the association between SCC and its severity (SoC) at baseline and the presence of AD pathology; and 2) to identify specific complaints through questions of the Cognitive Complaint Inventory (CCI) best predict AD pathology; and 3) to evaluate whether using SCC related scores or specific questions may improve the prediction of cognitive decline. Method: We conducted a study in 164 non-demented subjects participating on a longitudinal study in a memory clinic setting, aged 53 to 88 years, with CDR scores of 0 (N=84) and 0.5 (N=80). SCC was assessed using the Cognitive Complaint Inventory (CCI), a validated 10 items questionnaire. Accordingly, SCC was defined as being present when the subject answers “yes” to 3 or more questions; and/or to question 5 (forget an event), and/or to the questions A (reporting a memory change), 4 (difficulties with spatial orientation), 5, 7 (limitation of activities), 8 (personality change). All participants underwent comprehensive neuropsychological evaluations and CSF biomarkers analysis. “Amyloid positivity" and “AD pathology” were defined according to CSF Aβ42 levels and CSF pTau181/Aβ42 ratio, respectively. Logistic regression analyses were used to address the associations of interest. Results: Participants with SCC had significantly lower CSF Aβ42 and higher CSF Tau and pTau181 levels compared to those without SCC. In CDR=0.5 subgroup, SCC and question A were negatively associated with AD pathology while SoC was predictive of AD pathology. question 6 was negatively associated with AD pathology in the CDR=0 subgroup.
A model including age, sex, years of education, CDRSoB, and the questions A, 2, 4 and 5 showed better prediction of decline at first follow-up compared to the reference model (AUC: 0.866, p=0.032). At last follow-up, a positive answer on question 6, increasing age and lower baseline CDR were associated with future cognitive decline.
Conclusion: Severity of complaint rather than SCC was predictive of cerebral AD pathology in the CDR=0.5 subgroup but not in the CDR=0 subgroup. Having reported subjective difficulties in finding words at baseline together with increasing age and low CDR at baseline were predictive of decline at second follow-up.
A model including age, sex, years of education, CDRSoB, and the questions A, 2, 4 and 5 showed better prediction of decline at first follow-up compared to the reference model (AUC: 0.866, p=0.032). At last follow-up, a positive answer on question 6, increasing age and lower baseline CDR were associated with future cognitive decline.
Conclusion: Severity of complaint rather than SCC was predictive of cerebral AD pathology in the CDR=0.5 subgroup but not in the CDR=0 subgroup. Having reported subjective difficulties in finding words at baseline together with increasing age and low CDR at baseline were predictive of decline at second follow-up.
Keywords
Subjective cognitive complaint, Amyloid, Cognitive Complaint Inventory, Alzheimer disease, cerebrospinal fluid, biomarkers
Create date
09/08/2024 14:06
Last modification date
10/08/2024 6:30