Expert elicitation of risk factors for progression to dementia in individuals with mild cognitive impairment

Author:

Wang Meng12,Sajobi Tolulope T.12,Hogan David B.12,Ganesh Aravind2,Seitz Dallas P.3,Chekouo Thierry4,Forkert Nils D.25,Borrie Michael J.6,Camicioli Richard7,Hsiung Ging‐Yuek Robin8,Masellis Mario9,Moorhouse Paige10,Tartaglia Maria Carmela11,Ismail Zahinoor123,Smith Eric E.2

Affiliation:

1. Department of Community Health Sciences & O'Brien Institute of Public Health University of Calgary Calgary Canada

2. Department of Clinical Neurosciences & Hotchkiss Brain Institute University of Calgary Calgary Canada

3. Department of Psychiatry University of Calgary Calgary Canada

4. Division of Biostatistics School of Public Health University of Minnesota Minneapolis Minnesota USA

5. Department of Radiology University of Calgary Calgary Canada

6. Department of Medicine Division of Geriatric Medicine Western University London Ontario Canada

7. Department of Medicine Division of Neurology University of Alberta Alberta Canada

8. Division of Neurology Department of Medicine University of British Columbia Vancouver British Columbia Canada

9. Sunnybrook Health Sciences Centre Toronto Canada

10. Division of Geriatric Medicine Department of Medicine Dalhousie University Halifax Nova Scotia Canada

11. Tanz Centre for Research in Neurodegenerative Diseases University of Toronto Toronto Ontario Canada

Abstract

AbstractIntroductionThis study assesses experts’ beliefs about important predictors of developing dementia in persons with mild cognitive impairment (MCI).MethodsStructured expert elicitation, a methodology to quantify expert knowledge, was used to elicit the most important risk factors for developing dementia. We recruited 11 experts (6 neurologists, 3 geriatricians, and 2 psychiatrists). Ten experts fully participated in introductory meetings, two rounds of surveys, and discussion meetings. The data from these ten experts were utilized for this study.ResultsThe expert elicitation identified age, CSF analysis, fluorodeoxyglucose‐positron emission tomography (FDG‐PET) findings, hippocampal atrophy, MoCA (or MMSE) score, parkinsonism, apathy, psychosis, informant report of cognitive symptoms, and global atrophy as the ten most important predictors of progressing to dementia in persons with MCI.DiscussionSeveral dementia predictors are not routinely collected in existing registries, observational studies, or usual care. This might partially explain the low uptake of existing published dementia risk scores in clinical practice.

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Neurology (clinical),Developmental Neuroscience,Health Policy,Epidemiology

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