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      Comparing Approaches to Optimize Cut-off Scores for Short Cognitive Screening Instruments in Mild Cognitive Impairment and Dementia

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          Abstract

          Background: Although required to improve the usability of cognitive screening instruments (CSIs), the use of cut-off scores is controversial yet poorly researched.

          Objective: To explore cut-off scores for two short CSIs: the Standardized Mini-Mental State Examination (SMMSE) and Quick Mild Cognitive Impairment (Q mci) screen, describing adjustments in scores for diagnosis (MCI or dementia), age (≤, >75 years), and education (<, ≥12 years), comparing two methods: the maximal accuracy approach, derived from receiver operating characteristic curves, and Youden’s Index.

          Methods: Pooled analysis of assessments from patients attending memory clinics in Canada between 1999–2010 : 766 with mild cognitive impairment (MCI) and 1,746 with dementia, and 875 normal controls.

          Results: The Q mci was more accurate than the SMMSE in differentiating controls from MCI or cognitive impairment (MCI and dementia). Employing the maximal accuracy approach, the optimal SMMSE cut-off for cognitive impairment was <28/30 (AUC 0.86, sensitivity 74%, specificity 88%) versus <63/100 for the Q mci (AUC 0.93, sensitivity 85%, specificity 85%). Using Youden’s Index, the optimal SMMSE cut-off remained <28/30 but fell slightly to <62/100 for the Q mci (sensitivity 83%, specificity 87%). The optimal cut-off for MCI was <29/30 for the SMMSE and <67/100 for the Q mci, irrespective of technique. The maximal accuracy approach generally produced higher Q mci cut-offs than Youden’s Index, both requiring adjustment for age and education. There were no clinically meaningful differences in SMMSE cut-off scores by age and education or method employed.

          Conclusion: Caution should be exercised selecting cut-offs as these differ by age, education, and method of derivation, with the extent of adjustment varying between CSIs.

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          Most cited references30

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          Index for rating diagnostic tests.

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            Population-based norms for the Mini-Mental State Examination by age and educational level.

            To report the distribution of Mini-Mental State Examination (MMSE) scores by age and educational level. National Institute of Mental Health Epidemiologic Catchment Area Program surveys conducted between 1980 and 1984. Community populations in New Haven, Conn; Baltimore, Md; St Louis, Mo; Durham, NC; and Los Angeles, Calif. A total of 18,056 adult participants selected by probability sampling within census tracts and households. Summary scores for the MMSE are given in the form of mean, median, and percentile distributions specific for age and educational level. The MMSE scores were related to both age and educational level. There was an inverse relationship between MMSE scores and age, ranging from a median of 29 for those 18 to 24 years of age, to 25 for individuals 80 years of age and older. The median MMSE score was 29 for individuals with at least 9 years of schooling, 26 for those with 5 to 8 years of schooling, and 22 for those with 0 to 4 years of schooling. Cognitive performance as measured by the MMSE varies within the population by age and education. The cause of this variation has yet to be determined. Mini-Mental State Examination scores should be used to identify current cognitive difficulties and not to make formal diagnoses. The results presented should prove to be useful to clinicians who wish to compare an individual patient's MMSE scores with a population reference group and to researchers making plans for new studies in which cognitive status is a variable of interest.
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              Alzheimer's Association recommendations for operationalizing the detection of cognitive impairment during the Medicare Annual Wellness Visit in a primary care setting.

              The Patient Protection and Affordable Care Act added a new Medicare benefit, the Annual Wellness Visit (AWV), effective January 1, 2011. The AWV requires an assessment to detect cognitive impairment. The Centers for Medicare and Medicaid Services (CMS) elected not to recommend a specific assessment tool because there is no single, universally accepted screen that satisfies all needs in the detection of cognitive impairment. To provide primary care physicians with guidance on cognitive assessment during the AWV, and when referral or further testing is needed, the Alzheimer's Association convened a group of experts to develop recommendations. The resulting Alzheimer's Association Medicare Annual Wellness Visit Algorithm for Assessment of Cognition includes review of patient Health Risk Assessment (HRA) information, patient observation, unstructured queries during the AWV, and use of structured cognitive assessment tools for both patients and informants. Widespread implementation of this algorithm could be the first step in reducing the prevalence of missed or delayed dementia diagnosis, thus allowing for better healthcare management and more favorable outcomes for affected patients and their families and caregivers. Copyright © 2013 The Alzheimer's Association. All rights reserved.
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                Author and article information

                Journal
                J Alzheimers Dis
                J. Alzheimers Dis
                JAD
                Journal of Alzheimer's Disease
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                1387-2877
                1875-8908
                10 February 2017
                4 March 2017
                2017
                : 57
                : 1
                : 123-133
                Affiliations
                [a ]Centre for Gerontology and Rehabilitation, University College Cork , St Finbarrs Hospital, Cork City, Ireland
                [b ]Health Research Board, Clinical Research Facility Galway, National University of Ireland , Galway, Ireland
                [c ]UZIK Consulting Inc., Toronto, ON, Canada
                [d ]Department of Geriatric Medicine, Cork University Hospital , Wilton, Cork City, Ireland
                [e ]Health Research Board, Clinical Research Facility Cork, Mercy Univeristy Hospital , Cork City, Ireland
                Author notes
                [* ]Correspondence to: Dr. Rónán O’Caoimh, MB, MSc, PhD, Health Research Board, Clinical Research Facility Galway, National University of Ireland, Galway, Ireland. Tel.: +353 91 493 187; Fax: +353 91 526 927; E-mail: rocaoimh@ 123456hotmail.com .
                Article
                JAD161204
                10.3233/JAD-161204
                5345649
                28222528
                ac917943-7a97-432d-a960-a9e08c00178b
                IOS Press and the authors. All rights reserved

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 31 December 2016
                Categories
                Research Article

                cognitive screening,cut-offs,dementia,mild cognitive impairment,quick mild cognitive impairment screen,standardized mini-mental state examination

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