TY  - CONF
AU  - Sannemann, Lena
AU  - Buerger, Katharina
AU  - Hellmann-Regen, Julian
AU  - Kleineidam, Luca
AU  - Laske, Christoph
AU  - Perneczky, Robert
AU  - Peters, Oliver
AU  - Priller, Josef
AU  - Ramirez, Alfredo
AU  - Schneider, Anja
AU  - Spottke, Annika
AU  - Synofzik, Matthis
AU  - Teipel, Stefan J
AU  - Wagner, Michael
AU  - Wiltfang, Jens
AU  - Yakupov, Renat
AU  - Düzel, Emrah
AU  - Jessen, Frank
TI  - Predictors of Cognitive Decline in Individuals with Subjective Cognitive Decline of the DELCODE Study Cohort
JO  - Alzheimer's and dementia
VL  - 21
IS  - Suppl 3
SN  - 1552-5260
M1  - DZNE-2025-01469
SP  - e105570
PY  - 2025
AB  - Subjective cognitive decline (SCD) refers to a self-perceived, persistent cognitive decline compared to previous levels in individuals with objectively unimpaired cognition. Studies have repeatedly shown associations of SCD characteristics with amyloid pathology and increased risk of future cognitive decline, especially in memory-clinic settings. The aim of this project is to model individual differences of cognitive decline in individuals with SCD.Latent Growth Curve Model (LGCM) analysis was applied to individuals with SCD from the DZNE Longitudinal Cognitive Impairment and Dementia (DELCODE) study. We chose a sample of n = 203 participants who showed a decline on the Preclinical Alzheimer's Cognitive Composite (PACC5) score over five years. First, a two-factor linear growth model was fitted on the annualized PACC5 data. We then calculated and compared two models to which we added the following baseline predictors: 1) plasma Aß42/40, plasma ptau181, ApoE-4-carrier status and hippocampal volume (biological model), and 2) Geriatric Depression Scale (GDS), Geriatric Anxiety Inventory-Short Form (GAIS-SF) and Neuropsychiatric Inventory Questionnaire (NPI-Q) total scores (neuropsychiatric model).The LGCM of longitudinal PACC-5 scores yielded adequate model fit for a linear model (X2(16)=67.5, p < .001, CFI = 0.93, SMRM=0.07, AIC=1437.10). The baseline PACC score was -0.03 (SE = 0.05, p = .533) and average cognition declined slightly over time by -0.13 (SE = 0.01, p < .001). The biological model showed an improvement in fit, with an AIC of 742.30. Here, we observed a positive relationship between plasma Aß42/40 and the intercept (B = 7.60, SE = 3.01, p = .012) and a negative relationship between plasma ptau181 and the intercept (B = -0.22, SE = 0.09, p = .016). Plasma Aß42/40 was the only significant predictor of the PACC5 slope in this model (B = 1.35, SE = 0.62, p = .030). In comparison, the AIC value for the neuropsychiatric model was 1341.17, with the GDS total score being negatively related to the PACC5 slope (B = -0.03, SE = 0.01, p = .009).These results add to gaining a better understanding of SCD trajectories and specific predictors of cognitive decline, which is relevant to power future clinical trials in this population.
T2  - Alzheimer’s Association International Conference
CY  - 27 Jul 2025 - 31 Jul 2025, Toronto (Canada)
Y2  - 27 Jul 2025 - 31 Jul 2025
M2  - Toronto, Canada
KW  - Humans
KW  - Male
KW  - Female
KW  - Cognitive Dysfunction: blood
KW  - Cognitive Dysfunction: pathology
KW  - Cognitive Dysfunction: psychology
KW  - Cognitive Dysfunction: diagnosis
KW  - Cognitive Dysfunction: genetics
KW  - Aged
KW  - Amyloid beta-Peptides: blood
KW  - tau Proteins: blood
KW  - Neuropsychological Tests: statistics & numerical data
KW  - Longitudinal Studies
KW  - Hippocampus: pathology
KW  - Alzheimer Disease
KW  - Middle Aged
KW  - Peptide Fragments: blood
KW  - Aged, 80 and over
KW  - Apolipoprotein E4: genetics
KW  - Amyloid beta-Peptides (NLM Chemicals)
KW  - tau Proteins (NLM Chemicals)
KW  - Peptide Fragments (NLM Chemicals)
KW  - Apolipoprotein E4 (NLM Chemicals)
LB  - PUB:(DE-HGF)1 ; PUB:(DE-HGF)16
C6  - pmid:41445242
C2  - pmc:PMC12739277
DO  - DOI:10.1002/alz70857_105570
UR  - https://pub.dzne.de/record/283062
ER  -