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当代阿耳茨海默病研究

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ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

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Systematic Review Article

阿尔茨海默病评估量表-认知亚量表对筛查轻度认知障碍和阿尔茨海默病有用吗?系统回顾

卷 19, 期 3, 2022

发表于: 17 May, 2022

页: [202 - 211] 页: 10

弟呕挨: 10.2174/1567205019666220404104854

价格: $65

摘要

阿尔茨海默病评估量表-认知亚量表对筛查轻度认知障碍和阿尔茨海默病有用吗?系统回顾 背景: 对轻度认知障碍（MCI）和阿尔茨海默病（AD）进行筛选，以区分老年人的认知下降是否归因于病理原因而非正常老化。 摘要: 本综述的目的是分析阿尔茨海默病评估量表认知子量表（ADAS-Cog）在MCI和AD筛查中的诊断性能。 方法: 使用以下关键词痴呆症和ADAS Cog对MEDLINE、EMBASE、CINAHL和PsycArticles数据库进行电子搜索，诊断准确性研究的质量评估-2用于检查诊断研究中的偏差风险。 结果: 我们回顾了14项研究，包括3875名符合选择标准的患者。在9项研究的2624名MCI患者中，ADAS Cog的合并敏感性为0.80（95%置信区间[CI]，0.68-0.88），合并特异性为0.84（95%可信区间，0.75-0.90），受试者操作特征曲线（SROC AUC）的曲线下面积为0.89（SE=0.03）。在10项研究的2517名AD患者中，合并敏感性和合并特异性分别为0.91（95%置信区间，0.86-0.95）和0.93（95%可信区间，0-0.88），sROC AUC为0.97（SE=0.01）。尽管根据年龄和受教育年限进行了亚分析，但ADAS Cog的预测效度没有显著差异。 结论: ADAS Cog作为MCI和AD的筛查工具具有很高的预测有效性，并在AD患者中具有更好的诊断性能。当需要对AD进行早期筛查时，ADAS Cog是一种可以最初使用的第一阶段筛查工具。

关键词: 阿尔茨海默病，认知功能障碍，老年人，神经心理学测试，敏感性，特异性，系统综述。

« Previous Next »
[1]
National Institute on Aging and World Health Organization.. Global health and aging NIH Publication no 11-7737 Bethesda, MD: National Institute on Aging 2011.
[2]
Ferri CP, Prince M, Brayne C, et al. Global prevalence of dementia: A Delphi consensus study. Lancet 2005; 366(9503): 2112-7.
[http://dx.doi.org/10.1016/S0140-6736(05)67889-0] [PMID: 16360788]
[3]
World Health Organization.. World Health Report 2003 – Shaping the future. Geneva: WHO 2003.
[4]
Morovic S, Budincevic H, Govori V, Demarin V. Possibilities of dementia prevention - it is never too early to start. J Med Life 2019; 12(4): 332-7.
[http://dx.doi.org/10.25122/jml-2019-0088] [PMID: 32025250]
[5]
Middleton LE, Yaffe K. Targets for the prevention of dementia. J Alzheimers Dis 2010; 20(3): 915-24.
[http://dx.doi.org/10.3233/JAD-2010-091657] [PMID: 20413867]
[6]
Murman DL. The impact of age on cognition. Semin Hear 2015; 36(3): 111-21.
[http://dx.doi.org/10.1055/s-0035-1555115] [PMID: 27516712]
[7]
Alzheimer Association. Cognitive assessment toolkit Available from https://www.alz.org/professionals/health-systems-clinicians/cognitive-assessment
[8]
Arevalo-Rodriguez I, Smailagic N, i Figuls MR, et al. Mini-Mental State Examination (MMSE) for the detection of Alzheimer’s disease and other dementias in people with mild Cognitive Impairment (MCI). Cochrane Database Syst Rev 2015; (3): : CD010783.
[http://dx.doi.org/10.1002/14651858.CD010783.pub2] [PMID: 25740785]
[9]
Harrison JK, Stott DJ, McShane R, Noel-Storr AH, Swann-Price RS, Quinn TJ. Informant questionnaire on cognitive decline in the elderly (IQCODE) for the early diagnosis of dementia across a variety of healthcare settings. Cochrane Database Syst Rev 2016; 11(11): CD011333.
[http://dx.doi.org/10.1002/14651858.CD011333.pub2] [PMID: 27869298]
[10]
Davis DH, Creavin ST, Yip JL, Noel-Storr AH, Brayne C, Cullum S. Montreal cognitive assessment for the diagnosis of alzheimer’s disease and other dementias. Cochrane Database Syst Rev 2015; 10(10): CD010775.
[http://dx.doi.org/10.1002/14651858.CD010775.pub2] [PMID: 26513331]
[11]
Mohs RC, Rosen WG, Davis KL. The Alzheimer’s disease assessment scale: An instrument for assessing treatment efficacy. Psychopharmacol Bull 1983; 19(3): 448-50.
[PMID: 6635122]
[12]
Rosen WG, Mohs RC, Davis KL. A new rating scale for Alzheimer’s disease. Am J Psychiatry 1984; 141(11): 1356-64.
[http://dx.doi.org/10.1176/ajp.141.11.1356] [PMID: 6496779]
[13]
Mohs RC, Cohen L. Alzheimer’s Disease Assessment Scale (ADAS). Psychopharmacol Bull 1988; 24(4): 627-8.
[PMID: 3249763]
[14]
Webster SJ, Bachstetter AD, Nelson PT, Schmitt FA, Van Eldik LJ. Using mice to model Alzheimer’s dementia: An overview of the clinical disease and the preclinical behavioral changes in 10 mouse models. Front Genet 2014; 5: 88.
[http://dx.doi.org/10.3389/fgene.2014.00088] [PMID: 24795750]
[15]
Mohs RC, Knopman D, Petersen RC, et al. Development of cognitive instruments for use in clinical trials of antidementia drugs: Additions to the Alzheimer’s disease assessment scale that broaden its scope. The Alzheimer’s disease cooperative study. Alzheimer Dis Assoc Disord 1997; 11(Suppl. 2): S13-21.
[http://dx.doi.org/10.1097/00002093-199700112-00003] [PMID: 9236948]
[16]
Balsis S, Benge JF, Lowe DA, Geraci L, Doody RS. How do scores on the ADAS-Cog, MMSE, and CDR-SOB correspond? Clin Neuropsychol 2015; 29(7): 1002-9.
[http://dx.doi.org/10.1080/13854046.2015.1119312] [PMID: 26617181]
[17]
Connor DJ, Sabbagh MN. Administration and scoring variance on the ADAS-Cog. J Alzheimers Dis 2008; 15(3): 461-4.
[http://dx.doi.org/10.3233/JAD-2008-15312] [PMID: 18997299]
[18]
Liu HC, Teng EL, Chuang YY, Lin KN, Fuh JL, Wang PN. The Alzheimer’s disease assessment scale: Findings from a low-education population. Dement Geriatr Cogn Disord 2002; 13(1): 21-6.
[http://dx.doi.org/10.1159/000048629] [PMID: 11731711]
[19]
PROVIDE. Alzheimer's Disease Assessment Scale, Cognitive Part (ADAS-COG). Available from:. https://eprovide.mapi-trust.org/instruments/alzheimer-s-disease-assessment-scale-cognitive-part
[20]
Kueper JK, Speechley M, Montero-Odasso M. The Alzheimer’s disease assessment scale-cognitive subscale (ADAS-Cog): Modifications and responsiveness in pre-dementia populations. a narrative review. J Alzheimers Dis 2018; 63(2): 423-44.
[http://dx.doi.org/10.3233/JAD-170991] [PMID: 29660938]
[21]
Bossuyt PM, Davenport C, Deeks JJ, Gatsonis C, Wisniewski S. Cochrane handbook for systematic reviews of diagnostic test accuracy The Cochrane Collaboration. 2013. Available from: http://srdta.cochrane.org
[22]
Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021; 372(71): n71.
[http://dx.doi.org/10.1136/bmj.n71] [PMID: 33782057]
[23]
Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155(8): 529-36.
[http://dx.doi.org/10.7326/0003-4819-155-8-201110180-00009] [PMID: 22007046]
[24]
Negeri ZF, Shaikh M, Beyene J. Bivariate random-effects meta-analysis models for diagnostic test accuracy studies using arcsine-based transformations. Biom J 2018; 60(4): 827-44.
[http://dx.doi.org/10.1002/bimj.201700101] [PMID: 29748967]
[25]
Greiner M, Pfeiffer D, Smith RD. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev Vet Med 2000; 45(1-2): 23-41.
[http://dx.doi.org/10.1016/S0167-5877(00)00115-X] [PMID: 10802332]
[26]
Walter SD. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data. Stat Med 2002; 21(9): 1237-56.
[http://dx.doi.org/10.1002/sim.1099] [PMID: 12111876]
[27]
Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: A software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006; 6: 31.
[http://dx.doi.org/10.1186/1471-2288-6-31] [PMID: 16836745]
[28]
Patel A, Cooper N, Freeman S, Sutton A. Graphical enhancements to summary receiver operating characteristic plots to facilitate the analysis and reporting of meta-analysis of diagnostic test accuracy data. Res Synth Methods 2021; 12(1): 34-44.
[http://dx.doi.org/10.1002/jrsm.1439] [PMID: 32706182]
[29]
Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Med Res Methodol 2019; 19(1): 81.
[http://dx.doi.org/10.1186/s12874-019-0724-x] [PMID: 30999861]
[30]
Lakshminarayanan M, Vaitheswaran S, Srinivasan N, et al. Cultural adaptation of Alzheimer’s disease assessment scale-cognitive subscale for use in India and validation of the Tamil version for South Indian population. Aging Ment Health 2022; 26(2): 423-30.
[http://dx.doi.org/10.1080/13607863.2021.1875192] [PMID: 33491464]
[31]
Yang H, Cheng Z, Li Z, et al. Validation study of the Alzheimer’s disease assessment scale-cognitive subscale for people with mild cognitive impairment and Alzheimer’s disease in Chinese communities. Int J Geriatr Psychiatry 2019; 34(11): 1658-66.
[http://dx.doi.org/10.1002/gps.5179] [PMID: 31347192]
[32]
Nogueira J, Freitas S, Duro D, Almeida J, Santana I. Validation study of the Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog) for the Portuguese patients with mild cognitive impairment and Alzheimer's disease. Clin Neuropsychol 2018; 32(sup1).: 46-59.
[http://dx.doi.org/10.1080/13854046.2018.1454511]
[33]
Ben JS, Attia RN, Bahri-Mrabet A, Jendli A, Le Gall D, Bellaj T. An Arabic version of the cognitive subscale of the Alzheimer’s Disease Assessment Scale (ADAS-Cog): Reliability, validity, and normative data. J Alzheimers Dis 2017; 60(1): 11-21.
[http://dx.doi.org/10.3233/JAD-170222] [PMID: 28505978]
[34]
Zainal NH, Silva E, Lim LL, Kandiah N. Psychometric properties of Alzheimer’s Disease Assessment Scale-Cognitive Subscale for mild cognitive impairment and mild Alzheimer’s disease patients in an Asian context. Ann Acad Med Singap 2016; 45(7): 273-83.
[PMID: 27523508]
[35]
Kato Y, Narumoto J, Matsuoka T, et al. Diagnostic performance of a combination of mini-mental state examination and clock drawing test in detecting Alzheimer’s disease. Neuropsychiatr Dis Treat 2013; 9: 581-6.
[http://dx.doi.org/10.2147/NDT.S42209] [PMID: 23662057]
[36]
Pákáski M, Drótos G, Janka Z, Kálmán J. Validation of the Hungarian version of Alzheimer’s disease assessment scale-cognitive subscale. Orv Hetil 2012; 153(12): 461-6.
[http://dx.doi.org/10.1556/OH.2012.29332] [PMID: 22411219]
[37]
Papp E, Pákáski M, Drótos G, Kálmán J. Validation of the Hungarian version of Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in patients with mild cognitive impairment. Psychiatr Hung 2012; 27(6): 426-34.
[PMID: 23429337]
[38]
Rozzini L, Vicini Chilovi B, Bertoletti E, et al. The importance of Alzheimer disease assessment scale-cognitive part in predicting progress for amnestic mild cognitive impairment to Alzheimer disease. J Geriatr Psychiatry Neurol 2008; 21(4): 261-7.
[http://dx.doi.org/10.1177/0891988708324940] [PMID: 19017783]
[39]
Kawano N, Umegaki H, Suzuki Y, Yamamoto S, Mogi N, Iguchi A. The delayed word recall task using ADAS-Jcog word booklet effectively divides patients with mild cognitive impairment from normal elderly people. Jpn J Geriatr 2007; 44(4): 490-6.
[http://dx.doi.org/10.3143/geriatrics.44.490] [PMID: 17827808]
[40]
Monllau A, Pena-Casanova J, Blesa R, et al. Diagnostic value and functional correlations of the ADAS-Cog scale in Alzheimer’s disease: Data on NORMACODEM project. Neurologia 2007; 22(8): 493-501.
[PMID: 17602338]
[41]
Vogel A, Mortensen EL, Gade A, Waldemar G. The category cued recall test in very mild alzheimer’s disease: Discriminative validity and correlation with semantic memory functions. Eur J Neurol 2007; 14(1): 102-8.
[http://dx.doi.org/10.1111/j.1468-1331.2006.01568.x] [PMID: 17222122]
[42]
Perneczky R, Pohl C, Sorg C, et al. Complex activities of daily living in mild cognitive impairment: Conceptual and diagnostic issues. Age Ageing 2006; 35(3): 240-5.
[http://dx.doi.org/10.1093/ageing/afj054] [PMID: 16513677]
[43]
Youn JC, Lee DY, Kim KW, et al. Development of the Korean version of Alzheimer’s Disease Assessment Scale (ADAS-K). Int J Geriatr Psychiatry 2002; 17(9): 797-803.
[http://dx.doi.org/10.1002/gps.699] [PMID: 12221651]
[44]
Geschwind MD, Haman A, Miller BL. Rapidly progressive dementia. Neurol Clin 2007; 25(3): 783-807. vii.
[http://dx.doi.org/10.1016/j.ncl.2007.04.001] [PMID: 17659190]
[45]
NIH National Institute in Aging. Memory, forgetfulness, and aging: What's normal and what's not? Available from:. https://www.nia.nih.gov/health/do-memory-problems-always-mean-alzheimers-disease Accssed on October 21, 2020
[46]
Rascovsky KA. Primer in neuropsychological assessment for dementia; neuropsychological assessments can be extremely useful in the detection, diagnosis, and management of dementia syndromes. Practical Neurology 2016. Available from: https://practicalneurology.com/articles/2016-july-aug/a-primer-in-neuropsychological-assessment-for-dementia
[47]
Harvey PD. Clinical applications of neuropsychological assessment. Dialogues Clin Neurosci 2012; 14(1): 91-9.
[http://dx.doi.org/10.31887/DCNS.2012.14.1/pharvey] [PMID: 22577308]
[48]
Jacova C, Kertesz A, Blair M, Fisk JD, Feldman HH. Neuropsychological testing and assessment for dementia. Alzheimers Dement 2007; 3(4): 299-317.
[http://dx.doi.org/10.1016/j.jalz.2007.07.011] [PMID: 19595951]
[49]
Mitchell AJ. A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. J Psychiatr Res 2009; 43(4): 411-31.
[http://dx.doi.org/10.1016/j.jpsychires.2008.04.014] [PMID: 18579155]
[50]
Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: Clinical characterization and outcome. Arch Neurol 1999; 56(3): 303-8.
[http://dx.doi.org/10.1001/archneur.56.3.303] [PMID: 10190820]
[51]
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. 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. Neurology 1984; 34(7): 939-44.
[http://dx.doi.org/10.1212/WNL.34.7.939] [PMID: 6610841]
[52]
Schafer K, Aisen P, Böhm P, et al. Administration and scoring manual: Alzheimer’s Disease Assessment Scale – Cognitive (ADAS-cog). New York: The Mount Sinai School of Medicine 2012.
[53]
Arévalo SP, Kress J, Rodriguez FS. Validity of cognitive assessment tools for older adult hispanics: A systematic review. J Am Geriatr Soc 2020; 68(4): 882-8.
[http://dx.doi.org/10.1111/jgs.16300] [PMID: 31886524]
[54]
Corrada MM, Brookmeyer R, Paganini-Hill A, Berlau D, Kawas CH. Dementia incidence continues to increase with age in the oldest old: The 90+ study. Ann Neurol 2010; 67(1): 114-21.
[http://dx.doi.org/10.1002/ana.21915] [PMID: 20186856]

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