Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/25732
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dc.contributor.authorJordan, Nan-
dc.contributor.authorGvalda, Matthew-
dc.contributor.authorCody, Ross-
dc.contributor.authorGalante, Olivia-
dc.contributor.authorHaywood, Cilla J-
dc.contributor.authorYates, Paul A-
dc.date2021-01-14-
dc.date.accessioned2021-02-01T03:45:21Z-
dc.date.available2021-02-01T03:45:21Z-
dc.date.issued2021-01-14-
dc.identifier.citationFrontiers in Medicine 2021; 7: 788en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/25732-
dc.description.abstractGiven that the global population is aging, the number of age-related syndromes, such as frailty, is expected to rise in conjunction. Frailty is characterized by the loss of homeostatic reserve, rendering the individual vulnerable to poor health outcomes. Many biological mechanisms have been proposed to contribute to frailty. However, few studies have assessed the associations between frailty and brain diseases or neuroimaging biomarkers. Aims: The aims of this study were to measure the prevalence of frailty in a memory clinic and to examine associations between frailty and brain changes found on magnetic resonance imaging (MRI) and 18-F deoxyglucose (FDG) positron emission tomography (PET) in memory clinic attendees. Methods: A 54-items Frailty Index was retrospectively assessed for all clinic attendees from 2014. Frailty was defined as FI > 0.25. MR images were analyzed for stroke, cerebral small vessel disease [CSVD, including cerebral microbleeds (CMBs), cortical superficial siderosis (CSS), and white matter hyperintensity (WMH)], and neurodegenerative changes [MRI: mesial temporal atrophy (MTA), FDG-PET: regional hypometabolism], blind to clinical findings. Results: There were 209 clinic attendees in 2014, of whom 121 had MRI performed. The prevalence of frailty (using FI) in the memory clinic in 2014 was 38.3% overall (patients without MRI: 43.2%, patients with MRI 34.7%, p = 0.25). Frailty was associated with presence of deep WMH, increased severity of periventricular WMH, and presence of CSS, but not neurodegeneration markers (MTA atrophy/FDG-PET hypometabolism). Conclusion: The findings support the idea that previously reported associations between frailty and imaging evidence of CSVD in other cohorts are also relevant to the Australian clinic setting. Given that a large proportion of memory clinic attendees are frail, there may be opportunities for interventions to reduce preventable adverse health outcomes, such as falls and fractures, and reduce the prevalence and impact of frailty in this cohort.en
dc.subjectAlzheimer's disease-
dc.subjectcerebrovascular disease-
dc.subjectdementia-
dc.subjectfrailty-
dc.subjectmagnetic resonance imaging (MRI)-
dc.subjectmemory clinic-
dc.subjectneurodegenerative disease-
dc.subjectpositron emission tomography (PET)-
dc.titleFrailty, MRI, and FDG-PET Measures in an Australian Memory Clinic Cohorten
dc.typeJournal Articleen
dc.identifier.journaltitleFrontiers in Medicineen
dc.identifier.affiliationGeriatric Medicineen
dc.identifier.affiliationDepartment of Medicine, Eastern Health, Box Hill, VIC, Australiaen
dc.identifier.affiliationMedicine (University of Melbourne)en
dc.identifier.affiliationNeuropathology and Neurodegeneration Laboratory, Florey Neuroscience Institute, Heidelberg, VIC, Australiaen
dc.identifier.doi10.3389/fmed.2020.578243en
dc.type.contentTexten
dc.identifier.pubmedid33521008-
dc.type.austinJournal Articleen
local.name.researcherHaywood, Cilla J
item.grantfulltextopen-
item.openairetypeJournal Article-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptGeriatric Medicine-
crisitem.author.deptAged Care-
crisitem.author.deptGeriatric Medicine-
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