| Title: |
A data-driven examination of apathy and depressive symptoms in dementia with independent replication |
| Authors: |
Vasconcelos Da Silva, M; Melendez-Torres, GJ; Ismail, Z; Testad, I; Ballard, C; Creese, B; Weiner, M; Aisen, P; Petersen, R; Jack, CR; Jagust, W; Trojanowki, JQ; Toga, AW; Beckett, L; Green, RC; Saykin, AJ; Morris, J; Shaw, LM; Liu, E; Montine, T; Thomas, RG; Donohue, M; Walter, S; Gessert, D; Sather, T; Jiminez, G; Harvey, D; Bernstein, M; Fox, N; Thompson, P; Schuff, N; DeCArli, C; Borowski, B; Gunter, J; Senjem, M; Vemuri, P; Jones, D; Kantarci, K; Ward, C; Koeppe, RA; Foster, N; Reiman, EM; Chen, K; Mathis, C; Landau, S; Cairns, NJ; Householder, E; Reinwald, LT; Lee, V; Korecka, M; Figurski, M; Crawford, K; Neu, S; Foroud, TM; Potkin, S; Shen, L; Kelley, F; Kim, S; Nho, K; Kachaturian, Z; Frank, R; Snyder, PJ; Molchan, S; Kaye, J; Quinn, J; Lind, B; Carter, R; Dolen, S; Schneider, LS; Pawluczyk, S; Beccera, M; Teodoro, L; Spann, BM; Brewer, J; Van der Swag, H; Fleisher, A; Heidebrink, JL; Lord, JL; Mason, SS; Albers, CS; Knopman, D; Johnson, K; Doody, RS; Meyer, JV; Chowdhury, M; Rountree, S; Dang, M; Stern, Y; Honig, LS; Bell, KL; Ances, B; Carroll, M; Leon, S; Mintun, MA; Schneider, S; Oliver, A; Marson, D |
| Contributors: |
Alzheimer's Disease Neuroimaging Initiative |
| Publisher Information: |
Wiley on behalf of Alzheimer's Association |
| Publication Year: |
2023 |
| Collection: |
Brunel University London: Brunel University Research Archive (BURA) |
| Subject Terms: |
apathy; dementia; depression; latent class analysis |
| Description: |
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.pdf ; Supporting 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 ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
1 - 22; Electronic |
| Language: |
English |
| Relation: |
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring; e12398; https://bura.brunel.ac.uk/handle/2438/27650; https://doi.org/10.1002/dad2.12398 |
| DOI: |
10.1002/dad2.12398 |
| Availability: |
https://bura.brunel.ac.uk/handle/2438/27650; https://doi.org/10.1002/dad2.12398 |
| Rights: |
Copyright © 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. ; https://creativecommons.org/licenses/by-nc-nd/4.0/ ; The Authors |
| Accession Number: |
edsbas.1A70EF55 |
| Database: |
BASE |