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Apathy, but not depression, predicts all-cause dementia in cerebral small vessel disease

OBJECTIVE: To determine whether apathy or depression predicts all-cause dementia in small vessel disease (SVD) patients. METHODS: Analyses used two prospective cohort studies of SVD: St. George’s Cognition and Neuroimaging in Stroke (SCANS; n=121) and Radboud University Nijmegen Diffusion Tensor and...

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Detalles Bibliográficos
Autores principales: Tay, Jonathan, Morris, Robin G, Tuladhar, Anil M, Husain, Masud, de Leeuw, Frank-Erik, Markus, Hugh S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476304/
https://www.ncbi.nlm.nih.gov/pubmed/32651249
http://dx.doi.org/10.1136/jnnp-2020-323092
Descripción
Sumario:OBJECTIVE: To determine whether apathy or depression predicts all-cause dementia in small vessel disease (SVD) patients. METHODS: Analyses used two prospective cohort studies of SVD: St. George’s Cognition and Neuroimaging in Stroke (SCANS; n=121) and Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC; n=352). Multivariate Cox regressions were used to predict dementia using baseline apathy and depression scores in both datasets. Change in apathy and depression was used to predict dementia in a subset of 104 participants with longitudinal data from SCANS. All models were controlled for age, education and cognitive function. RESULTS: Baseline apathy scores predicted dementia in SCANS (HR 1.49, 95% CI 1.05 to 2.11, p=0.024) and RUN DMC (HR 1.05, 95% CI 1.01 to 1.09, p=0.007). Increasing apathy was associated with dementia in SCANS (HR 1.53, 95% CI 1.08 to 2.17, p=0.017). In contrast, baseline depression and change in depression did not predict dementia in either dataset. Including apathy in predictive models of dementia improved model fit. CONCLUSIONS: Apathy, but not depression, may be a prodromal symptom of dementia in SVD, and may be useful in identifying at-risk individuals.