Pre-Mild Cognitive Impairment: Can Visual Memory Predict Who Rapidly Convert to Mild Cognitive Impairment?
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Objective Little is known about the natural course of pre-mild cognitive impairment (pre-MCI) and predictors to MCI. We followedup individuals with pre-MCI and cognitively normal (CN) elders to identify neuropsychological predictors for rapid conversion to MCI. Methods Seventy-seven individuals with pre-MCI and 180 CN elders were recruited from the pool of individuals registered at the National Research Center for Dementia in Gwangju, Korea. We followed-up with them after a mean of 14±2.29 months. All participants underwent comprehensive clinical and neuropsychological assessment. Logistic regression analysis examined the ability of neuropsychological tests to predict conversions to MCI. Results Of 257 participants, 142 (55.3%) were eligible for the follow-up study (102 CN, 40 pre-MCI). Logistic regression revealed that spatial delayed recall significantly predicted the conversion from pre-MCI to MCI. In CN, copy for a complex figure significantly predicted the conversion to pre-MCI or MCI. Conclusion Our findings indicated that spatial delayed recall was associated with rapid conversion from pre-MCI to MCI. Spatial organization and planning, measured by complex figure reproduction, were associated with rapid conversion from CN to pre-MCI or MCI. Our study suggests that inclusion of visuospatial reproduction and memory using a complex figure further facilitates early detection of MCI.
Abstract
Objective Little is known about the natural course of pre-mild cognitive impairment (pre-MCI) and predictors to MCI. We followedup individuals with pre-MCI and cognitively normal (CN) elders to identify neuropsychological predictors for rapid conversion to MCI. Methods Seventy-seven individuals with pre-MCI and 180 CN elders were recruited from the pool of individuals registered at the National Research Center for Dementia in Gwangju, Korea. We followed-up with them after a mean of 14±2.29 months. All participants underwent comprehensive clinical and neuropsychological assessment. Logistic regression analysis examined the ability of neuropsychological tests to predict conversions to MCI. Results Of 257 participants, 142 (55.3%) were eligible for the follow-up study (102 CN, 40 pre-MCI). Logistic regression revealed that spatial delayed recall significantly predicted the conversion from pre-MCI to MCI. In CN, copy for a complex figure significantly predicted the conversion to pre-MCI or MCI. Conclusion Our findings indicated that spatial delayed recall was associated with rapid conversion from pre-MCI to MCI. Spatial organization and planning, measured by complex figure reproduction, were associated with rapid conversion from CN to pre-MCI or MCI. Our study suggests that inclusion of visuospatial reproduction and memory using a complex figure further facilitates early detection of MCI.
참고문헌 (37)
- Sperling RA, "Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease", Alzheimers Dement, 7, pp.280~292 (2011)
- Dubois B, "Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria", Alzheimers Dement, 12, pp.292~323 (2016)
- Storandt M, "Longitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI", Neurology, 67, pp.467~473 (2006)
- Clark DG, "Novel verbal fluency scores and structural brain imaging for prediction of cognitive outcome in mild cognitive impairment", Alzheimers Dement (Amst), 2, pp.113~122 (2016)
- Ding D, "Progression and predictors of mild cognitive impairment in Chinese elderly: a prospective follow-up in the Shanghai Aging Study", Alzheimers Dement (Amst), 4, pp.28~36 (2016)
- Mazzeo S, "Combining cerebrospinal fluid biomarkers and neuropsychological assessment: a simple and cost-effective algorithm to predict the progression from mild cognitive impairment to alzheimer's disease dementia", J Alzheimers Dis, 54, pp.1495~1508 (2016)
- Falahati F, "Monitoring disease progression in mild cognitive impairment: associations between atrophy patterns, cognition, APOE and amyloid", Neuroimage Clin, 16, pp.418~428 (2017)
- Gallucci M, "Neuropsychological tools to predict conversion from amnestic mild cognitive impairment to dementia. The TREDEM Registry", Neuropsychol Dev Cogn B Aging Neuropsychol Cogn, 25, pp.550~560 (2018)
- Gothlin M, "Prognostic accuracy of mild cognitive impairment subtypes at different cut-off levels", Dement Geriatr Cogn Disord, 43, pp.330~341 (2017)
- 김지욱, "Clinical Dementia Rating Orientation Score as an Excellent Predictor of the Progression to Alzheimer’s Disease in Mild Cognitive Impairment", PSYCHIATRY INVESTIGATION, 14(4), pp.420~426 (2017), 대한신경정신의학회[DOI]
- Li K, "Prediction of conversion to Alzheimer's disease with longitudinal measures and time-to-event data", J Alzheimers Dis, 58, pp.361~371 (2017)
- Liu K, "Prediction of mild cognitive impairment conversion using a combination of independent component analysis and the cox model", Front Hum Neurosci, 11, pp.33~ (2017)
- Michaud TL, "The risk of incident mild cognitive impairment and progression to dementia considering mild cognitive impairment subtypes", Dement Geriatr Cogn Dis Extra, 7, pp.15~29 (2017)
- Pagani M, "Early identification of MCI converting to AD: a FDG PET study", Eur J Nucl Med Mol Imaging, 44, pp.2042~2052 (2017)
- Blacker D, "Neuropsychological measures in normal individuals that predict subsequent cognitive decline", Arch Neurol, 64, pp.862~871 (2007)
- Oulhaj A, "Predicting the time of conversion to MCI in the elderly: role of verbal expression and learning", Neurology, 73, pp.1436~1442 (2009)
- Chen Y, "Progression from normal cognition to mild cognitive impairment in a diverse clinic-based and community-based elderly cohort", Alzheimers Dement, 13, pp.399~405 (2017)
- Nowrangi MA, "Subtle changes in daily functioning predict conversion from normal to mild cognitive impairment or dementia: an analysis of the NACC database", Int Psychogeriatr, 28, pp.2009~2018 (2016)
- Farias ST, "Early functional limitations in cognitively normal older adults predict diagnostic conversion to mild cognitive impairment", J Am Geriatr Soc, 65, pp.1152~1158 (2017)
- Seo EH, "Altered executive function in premild cognitive impairment", J Alzheimers Dis, 54, pp.933~940 (2016)
- Reisberg B, "The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer's disease", Alzheimers Dement, 4(1 Suppl 1), pp.S98~S108 (2008)
- Donovan NJ, "Subjective cognitive concerns and neuropsychiatric predictors of progression to the early clinical stages of Alzheimer disease", Am J Geriatr Psychiatry, 22, pp.1642~1651 (2014)
- Duara R, "Pre-MCI and MCI: neuropsychological, clinical, and imaging features and progression rates", Am J Geriatr Psychiatry, 19, pp.951~960 (2011)
- Morris JC, "Mild cognitive impairment represents early-stage Alzheimer disease", Arch Neurol, 58, pp.397~405 (2001)
- Fazekas F, "MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging", AJR Am J Roentgenol, 149, pp.351~356 (1987)
- Hughes CP, "A new clinical scale for the staging of dementia", Br J Psychiatry, 140, pp.566~572 (1982)
- Morris JC, "The Clinical Dementia Rating (CDR): current version and scoring rules", Neurology, 43, pp.2412~2414 (1993)
- 강수진, "한국판 Instrumental Activities of Dalily Living의 타당도와 신뢰도", 대한신경과학회지, 20(1), pp.8~14 (2002), 대한신경과학회
- 양동원, "Korean Dementia Screeing Questionnaire (KDSQ)의 개발과 타당도 및 신뢰도의 평가", 대한신경과학회지, 20(2), pp.135~141 (2002), 대한신경과학회
- Youn JC, "Development of the subjective memory complaints questionnaire", Dement Geriatr Cogn Disord, 27, pp.310~317 (2009)
- Ji Yang Kim, "Standardization of the Korean Version of the Geriatric Depression Scale: Reliability, Validity, and Factor Structure", PSYCHIATRY INVESTIGATION, 5(4), pp.232~238 (2008), 대한신경정신의학회
- Kang Y, "Seoul Neuropsychological Screening Battery" (2003), Human Brain Research & Consulting Co
- Winblad B, "Mild cognitive impairment--beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment", J Intern Med, 256, pp.240~246 (2004)
- Watanabe K, "The Rey-Osterrieth Complex Figure as a measure of executive function in childhood", Brain Dev, 27, pp.564~569 (2005)
- Somerville J, "The Boston Qualitative Scoring System as a measure of executive functioning in Rey-Osterrieth Complex Figure performance", J Clin Exp Neuropsychol, 22, pp.613~621 (2000)
- Ogino T, "Predicting executive function task scores with the Rey-Osterrieth Complex Figure", Brain Dev, 31, pp.52~57 (2009)
- Johnson JK, "Executive function, more than global cognition, predicts functional decline and mortality in elderly women", J Gerontol A Biol Sci Med Sci, 62, pp.1134~1141 (2007)