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      Subjective memory complaint as a useful tool for the early detection of Alzheimer’s disease

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          Abstract

          Purpose

          Despite their high prevalence in Alzheimer’s disease (AD), and the increasing level of concern they have generated, subjective memory complaints (SMCs) are poorly understood. This study investigated the accuracy with which SMC can separate mild cognitive impairment (MCI) and early AD from cognitive normal (CN), and explored whether the discrimination ability is similar to or better than that of the Mini-Mental State Exam (MMSE).

          Patients and methods

          This study recruited 175 CN subjects, 52 with MCI, and 66 with probable AD aged 60 years or older. To test the independent contributions of SMC and MMSE scores to the classification of cognitive status (CN vs MCI or early AD), logistic regression analyses were performed, adjusting for the following potential confounding variables: age, gender, Frontal Assessment Battery score, modified Hachinski Ischemic Scale score, and apolipoprotein E ε4 status. Receiver operating characteristic (ROC) curve analyses were used to determine the discrimination accuracy of SMC and MMSE scores, and area under the ROC curve (AUROC) was also calculated.

          Results

          In the highly educated (≥7 years), nondepressed (Geriatric Depression Scale ≤15) subgroup, SMC showed good accuracy in discriminating cognitively impaired subjects from CN after adjusting for potential confounding variables (the AUROC of the adjusted SMC was 0.841 for MCI discrimination, and it was 0.858 for MCI plus early AD discrimination). Both SMC and MMSE scores significantly contributed to differentiating between CN and MCI (OR=2.372, 95% CI=1.086–5.177; OR=0.730, 95% CI=0.566–0.941, respectively) after adjusting for the same covariates. However, in the highly educated and nondepressed subgroups, SMC showed significant predictive power for MCI from CN (OR=3.119, 95% CI=1.190–8.176; OR=3.328, 95% CI=1.320–8.396, respectively), whereas MMSE scores did not.

          Conclusion

          Our findings support the usefulness of SMC, which was comparable or even superior to MMSE scores, for detecting MCI or early AD.

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          Most cited references 48

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          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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            Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.

            Clinical criteria for the diagnosis of Alzheimer's disease include insidious onset and progressive impairment of memory and other cognitive functions. There are no motor, sensory, or coordination deficits early in the disease. The diagnosis cannot be determined by laboratory tests. These tests are important primarily in identifying other possible causes of dementia that must be excluded before the diagnosis of Alzheimer's disease may be made with confidence. Neuropsychological tests provide confirmatory evidence of the diagnosis of dementia and help to assess the course and response to therapy. The criteria proposed are intended to serve as a guide for the diagnosis of probable, possible, and definite Alzheimer's disease; these criteria will be revised as more definitive information become available.
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                Author and article information

                Affiliations
                [1 ]Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea, kimakins@ 123456hanmail.net
                [2 ]Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Republic of Korea, kimakins@ 123456hanmail.net
                [3 ]Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
                [4 ]Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
                [5 ]Department of Psychiatry, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Republic of Korea
                Author notes
                Correspondence: Jee Wook Kim, Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital. 7 Keunjaebong-gil, Hwaseong-si, Gyeonggi-do 18450, Republic of Korea, Tel +82 31 8086 2340, Fax +82 31 8086 2029, Email kimakins@ 123456hanmail.net
                Journal
                Neuropsychiatr Dis Treat
                Neuropsychiatr Dis Treat
                Neuropsychiatric Disease and Treatment
                Neuropsychiatric Disease and Treatment
                Dove Medical Press
                1176-6328
                1178-2021
                2018
                24 September 2018
                : 14
                : 2451-2460
                ndt-14-2451
                10.2147/NDT.S174517
                6161713
                © 2018 Choe et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

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                Original Research

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