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A data-driven examination of apathy and depressive symptoms in dementia with independent replication
Authors
P Aisen
CS Albers
+96 more
B Ances
C Ballard
M Beccera
L Beckett
KL Bell
M Bernstein
B Borowski
J Brewer
NJ Cairns
M Carroll
R Carter
K Chen
M Chowdhury
K Crawford
B Creese
M Dang
C DeCArli
S Dolen
M Donohue
RS Doody
M Figurski
A Fleisher
TM Foroud
N Foster
N Fox
R Frank
D Gessert
RC Green
J Gunter
D Harvey
JL Heidebrink
LS Honig
E Householder
Z Ismail
CR Jack
W Jagust
G Jiminez
K Johnson
D Jones
Z Kachaturian
K Kantarci
J Kaye
F Kelley
S Kim
D Knopman
RA Koeppe
M Korecka
S Landau
V Lee
S Leon
B Lind
E Liu
JL Lord
D Marson
SS Mason
C Mathis
GJ Melendez-Torres
JV Meyer
MA Mintun
S Molchan
T Montine
J Morris
S Neu
K Nho
A Oliver
S Pawluczyk
R Petersen
R Petersen
S Potkin
J Quinn
EM Reiman
LT Reinwald
S Rountree
T Sather
AJ Saykin
LS Schneider
S Schneider
N Schuff
M Senjem
LM Shaw
L Shen
PJ Snyder
BM Spann
Y Stern
L Teodoro
I Testad
RG Thomas
P Thompson
AW Toga
JQ Trojanowki
H Van der Swag
M Vasconcelos Da Silva
P Vemuri
S Walter
C Ward
M Weiner
Publication date
5 February 2023
Publisher
Wiley on behalf of Alzheimer's Association
Doi
Abstract
Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found in the Appendix and at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdfSupporting Information is available online at: https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.12398#support-information-section .Copyright © 2023 The Authors. Apathy is one of the most common neuropsychiatric symptoms (NPS) and is associated with poor clinical outcomes. Research that helps define the apathy phenotype is urgently needed, particularly for clinical and biomarker studies. We used latent class analysis (LCA) with two independent cohorts to understand how apathy and depression symptoms co-occur statistically. We further explored the relationship between latent class membership, demographics, and the presence of other NPS. The LCA identified a four-class solution (no symptoms, apathy, depression, and combined apathy/depression), reproducible over both cohorts, providing robust support for an apathy syndrome distinct from depression and confirming that an apathy/depression syndrome exists, supported by the model fit test with the four-class solution scores evidencing better fitting (Bayesian information criterion adjusted and entropy R2). Using a data-driven method, we show distinct and statistically meaningful co-occurrence of apathy and depressive symptoms. There was evidence that these classes have different clinical associations, which may help inform diagnostic categories for research studies and clinical practice. Highlights: * We found four classes: no symptoms, apathy, depression and apathy/depression. * Apathy conferred a higher probability for agitation. * Apathy diagnostic criteria should include accompanying neuropsychiatric symptoms.This paper represents independent research partly funded by the NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care. This study was supported by the National Institute for Health and Care Research Exeter Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI; National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie; Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC; Johnson & Johnson Pharmaceutical Research & Development LLC; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California
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Last time updated on 20/11/2023