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dc.contributor.authorTay, Jonathan
dc.contributor.authorMorris, Robin G
dc.contributor.authorTuladhar, Anil M
dc.contributor.authorHusain, Masud
dc.contributor.authorde Leeuw, Frank-Erik
dc.contributor.authorMarkus, Hugh S
dc.date.accessioned2020-07-14T07:09:23Z
dc.date.available2020-07-14T07:09:23Z
dc.date.issued2020-07-10
dc.date.submitted2020-02-24
dc.identifier.citationJournal of Neurology, Neurosurgery, and Psychiatry, page jnnp-2020-323092
dc.identifier.issn0022-3050
dc.identifier.otherjnnp-2020-323092
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/307912
dc.description.abstractObjective: 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.
dc.languageen
dc.publisherBMJ Publishing Group
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectNeuropsychiatry
dc.subject1506
dc.titleApathy, but not depression, predicts all-cause dementia in cerebral small vessel disease
dc.typeArticle
dc.date.updated2020-07-14T07:09:23Z
dc.embargo.termsEmbargo: ends 2020-07-10en
dc.identifier.doi10.17863/CAM.55005
dcterms.dateAccepted2020-06-02
rioxxterms.versionofrecord10.1136/jnnp-2020-323092
rioxxterms.versionVoR
dc.contributor.orcidTay, Jonathan [0000-0003-0598-0004]
dc.contributor.orcidTuladhar, Anil M [0000-0002-4815-2834]
dc.identifier.eissn1468-330X
pubs.funder-project-idThe Stroke Association (TSA PPA 2015-02)
pubs.funder-project-idNational Institute for Health Research (146281)
pubs.funder-project-idHartstichting (2014T060, 2016T044)
pubs.funder-project-idZonMw (ZonMW 016-126-351)
pubs.funder-project-idWellcome Trust (098282)
rioxxterms.freetoread.startdate2020-07-10


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)