TY - JOUR
T1 - Alzheimer's disease biomarkers as predictors of trajectories of depression and apathy in cognitively normal individuals, mild cognitive impairment, and Alzheimer's disease dementia
AU - Alzheimer's Disease Neuroimaging Initiative
AU - Banning, Leonie C.P.
AU - Ramakers, Inez H.G.B.
AU - Rosenberg, Paul B.
AU - Lyketsos, Constantine G.
AU - Leoutsakos, Jeannie Marie S.
N1 - Publisher Copyright:
© 2020 John Wiley & Sons Ltd
PY - 2021/1
Y1 - 2021/1
N2 - Objectives: To examine trajectories of depression and apathy over a 5-year follow-up period in (prodromal) Alzheimer's disease (AD), and to relate these trajectories to AD biomarkers. Methods: The trajectories of depression and apathy (measured with the Neuropsychiatric Inventory or its questionnaire) were separately modeled using growth mixture models for two cohorts (National Alzheimer's Coordinating Center, NACC, n = 22 760 and Alzheimer's Disease Neuroimaging Initiative, ADNI, n = 1 733). The trajectories in ADNI were associated with baseline CSF AD biomarkers (Aβ42, t-tau, and p-tau) using bias-corrected multinomial logistic regression. Results: Multiple classes were identified, with the largest classes having no symptoms over time. Lower Aβ42 and higher tau (ie, more AD pathology) was associated with increased probability of depression and apathy over time, compared to classes without symptoms. Lower Aβ42 (but not tau) was associated with a steep increase of apathy, whereas higher tau (but not Aβ42) was associated with a steep decrease of apathy. Discussion: The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers.
AB - Objectives: To examine trajectories of depression and apathy over a 5-year follow-up period in (prodromal) Alzheimer's disease (AD), and to relate these trajectories to AD biomarkers. Methods: The trajectories of depression and apathy (measured with the Neuropsychiatric Inventory or its questionnaire) were separately modeled using growth mixture models for two cohorts (National Alzheimer's Coordinating Center, NACC, n = 22 760 and Alzheimer's Disease Neuroimaging Initiative, ADNI, n = 1 733). The trajectories in ADNI were associated with baseline CSF AD biomarkers (Aβ42, t-tau, and p-tau) using bias-corrected multinomial logistic regression. Results: Multiple classes were identified, with the largest classes having no symptoms over time. Lower Aβ42 and higher tau (ie, more AD pathology) was associated with increased probability of depression and apathy over time, compared to classes without symptoms. Lower Aβ42 (but not tau) was associated with a steep increase of apathy, whereas higher tau (but not Aβ42) was associated with a steep decrease of apathy. Discussion: The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers.
KW - Alzheimer's disease
KW - apathy
KW - cerebrospinal fluid biomarkers
KW - depression
KW - mild cognitive impairment
KW - neurocognitive disorders
UR - http://www.scopus.com/inward/record.url?scp=85090578583&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090578583&partnerID=8YFLogxK
U2 - 10.1002/gps.5418
DO - 10.1002/gps.5418
M3 - Article
C2 - 32869375
AN - SCOPUS:85090578583
SN - 0885-6230
VL - 36
SP - 224
EP - 234
JO - International journal of geriatric psychiatry
JF - International journal of geriatric psychiatry
IS - 1
ER -