Login Register Cart 0
Generic placeholder image

当代阿耳茨海默病研究

Editor-in-Chief

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

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe Translate in English
Research Article

记忆诊所无痴呆认知障碍研究的概念框架

卷 17, 期 6, 2020

页: [517 - 525] 页: 9

弟呕挨: 10.2174/1567205017666200807193253

价格: $65

摘要

背景：对无认知障碍的痴呆症（CIND）进行识别和分类对诊断方法提出了进一步的挑战，因为改变客观损伤的临界值以及所考虑的神经心理学测试会显着影响诊断。因此，我们调查了精算神经心理学方法对CIND的临床细分的适用性，并量化了由客观认知障碍的各种神经心理学得出的诊断结果的变异性。 方法：从1/1/2016 /至1/1/2018从单中心记忆诊所招募1459名非痴呆，基于临床的个体，将其分为认知正常（NC），轻微认知症状（SCS），SSubtle认知衰退（SCD）或轻度认知障碍（MCI）通过不同的诊断策略，从而改变了诊断过程中涉及的客观认知评估的组成。 结果：我们比较了Jak / Bondi和Petersen / Winblad提出的两种标准来对CIND个体进行分类。根据采用的分类标准，提出了公认的NC，SCS，SCD和MCI百分比差异很大的范围。我们的数据表明，应用六个将CIND分为4个亚组（NC，SCS，SCD和MCI）的神经心理学评分，可以对所有非痴呆症患者进行分类，而不会出现重叠或遗漏。 结论：我们的研究为CIND分类系统的操作框架提供了临床支持，并强调了应用全面的神经心理学评估进行定义的价值。 SCS的概念被认为是适合临床前阶段的，被提出作为早期干预的症状定义。

关键词: 轻微的认知症状（SCS），微妙的认知能力下降（SCD），轻度认知障碍（MCI），阿尔茨海默氏病（AD），无痴呆的认知障碍（CIND），神经变性。

« Previous Next »
[1]
Dubois B, Feldman HH, Jacova C, et al. Advancing research diagnostic criteria for Alzheimer’s disease: The IWG-2 criteria. Lancet Neurol 2014; 13(6): 614-29.
[http://dx.doi.org/10.1016/S1474-4422(14)70090-0] [PMID: 24849862]
[2]
Reiman EM. Alzheimer’s disease and other dementias: Advances in 2013. Lancet Neurol 2014; 13(1): 3-5.
[http://dx.doi.org/10.1016/S1474-4422(13)70257-6] [PMID: 24331781]
[3]
Petersen RC. Alzheimer’s disease: Progress in prediction. Lancet Neurol 2010; 9(1): 4-5.
[http://dx.doi.org/10.1016/S1474-4422(09)70330-8] [PMID: 20083022]
[4]
Jack CR Jr, Bennett DA, Blennow K, et al. Contributors. NIA-AA research framework: Toward a biological definition of Alzheimer’s disease. Alzheimers Dement 2018; 14(4): 535-62.
[http://dx.doi.org/10.1016/j.jalz.2018.02.018] [PMID: 29653606]
[5]
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]
[6]
Winblad B, Palmer K, Kivipelto M, et al. Mild cognitive impairment--beyond controversies, towards a consensus: Report of the International Working Group on Mild Cognitive Impairment. J Intern Med 2004; 256(3): 240-6.
[http://dx.doi.org/10.1111/j.1365-2796.2004.01380.x] [PMID: 15324367]
[7]
Petersen RC, Morris JC. Mild cognitive impairment as a clinical entity and treatment target. Arch Neurol 2005; 62(7): 1160-3.
[http://dx.doi.org/10.1001/archneur.62.7.1160] [PMID: 16009779]
[8]
Villemagne VL, Chételat G. Neuroimaging biomarkers in Alzheimer’s disease and other dementias. Ageing Res Rev 2016; 30: 4-16.
[http://dx.doi.org/10.1016/j.arr.2016.01.004] [PMID: 26827785]
[9]
Langa KM, Levine DA. The diagnosis and management of mild cognitive impairment: a clinical review. JAMA 2014; 312(23): 2551-61.
[http://dx.doi.org/10.1001/jama.2014.13806] [PMID: 25514304]
[10]
Khan W, Westman E, Jones N, et al. AddNeuroMed consortium and for the Alzheimer’s Disease Neuroimaging Initiative. Automated hippocampal subfield measures as predictors of conversion from mild cognitive impairment to Alzheimer’s disease in two independent cohorts. Brain Topogr 2015; 28(5): 746-59.
[http://dx.doi.org/10.1007/s10548-014-0415-1] [PMID: 25370484]
[11]
De Marco M, Meneghello F, Pilosio C, Rigon J, Venneri A. Up-regulation of DMN connectivity in mild cognitive impairment via network-based cognitive training. Curr Alzheimer Res 2018; 15(6): 578-89.
[http://dx.doi.org/10.2174/1567205015666171212103323] [PMID: 29231140]
[12]
Petersen RC, Caracciolo B, Brayne C, Gauthier S, Jelic V, Fratiglioni L. Mild cognitive impairment: a concept in evolution. J Intern Med 2014; 275(3): 214-28.
[http://dx.doi.org/10.1111/joim.12190] [PMID: 24605806]
[13]
Thomas KR, Edmonds EC, Eppig J, Salmon DP, Bondi MW. Alzheimer’s Disease Neuroimaging Initiative. Using neuropsychological process scores to identify subtle cognitive decline and predict progression to mild cognitive impairment. J Alzheimers Dis 2018; 64(1): 195-204.
[http://dx.doi.org/10.3233/JAD-180229] [PMID: 29865077]
[14]
Edmonds EC, Delano-Wood L, Galasko DR, Salmon DP, Bondi MW. Alzheimer’s disease neuroimaging initiative. subtle cognitive decline and biomarker staging in preclinical Alzheimer’s disease. J Alzheimers Dis 2015; 47(1): 231-42.
[http://dx.doi.org/10.3233/JAD-150128] [PMID: 26402771]
[15]
Thomas KR, Bangen KJ, Weigand AJ, et al. Objective subtle cognitive difficulties predict future amyloid accumulation and neurodegeneration. Neurology 2020; 94(4): e397-406.
[http://dx.doi.org/10.1212/WNL.0000000000008838]
[16]
Thomas KR, Eppig J, Edmonds EC, et al. Alzheimer’s Disease Neuroimaging Initiative. Word-list intrusion errors predict progression to mild cognitive impairment. Neuropsychology 2018; 32(2): 235-45.
[http://dx.doi.org/10.1037/neu0000413] [PMID: 29528684]
[17]
Thomas KR, Bangen KJ, Weigand AJ, et al. Alzheimer’s disease neuroimaging initiative. type 2 diabetes interacts with alzheimer disease risk factors to predict functional decline. Alzheimer Dis Assoc Disord 2020; 34(1): 10-7.
[http://dx.doi.org/10.1097/WAD.0000000000000332] [PMID: 31305320]
[18]
Bondi MW, Edmonds EC, Jak AJ, et al. Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. J Alzheimers Dis 2014; 42(1): 275-89.
[http://dx.doi.org/10.3233/JAD-140276] [PMID: 24844687]
[19]
Zhao Q, Guo Q, Li F, Zhou Y, Wang B, Hong Z. The shape trail test: Application of a new variant of the trail making test. PLoS One 2013; 8(2) e57333
[http://dx.doi.org/10.1371/journal.pone.0057333] [PMID: 23437370]
[20]
Jessen F, Amariglio RE, van Boxtel M, et al. Subjective Cognitive Decline Initiative (SCD-I) Working Group. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement 2014; 10(6): 844-52.
[http://dx.doi.org/10.1016/j.jalz.2014.01.001] [PMID: 24798886]
[21]
Jessen F, Wolfsgruber S, Wiese B, et al. German study on aging, cognition and dementia in primary care patients. AD dementia risk in late MCI, in early MCI, and in subjective memory impairment. Alzheimers Dement 2014; 10(1): 76-83.
[http://dx.doi.org/10.1016/j.jalz.2012.09.017] [PMID: 23375567]
[22]
Rabin LA, Smart CM, Amariglio RE. Subjective cognitive decline in preclinical Alzheimer’s disease. Annu Rev Clin Psychol 2017; 13(13): 369-96.
[http://dx.doi.org/10.1146/annurev-clinpsy-032816-045136] [PMID: 28482688]
[23]
Perrotin A, La Joie R, de La Sayette V, et al. Subjective cognitive decline in cognitively normal elders from the community or from a memory clinic: Differential affective and imaging correlates. Alzheimers Dement 2017; 13(5): 550-60.
[http://dx.doi.org/10.1016/j.jalz.2016.08.011] [PMID: 27693187]
[24]
Eliassen CF, Reinvang I, Selnes P, Grambaite R, Fladby T, Hessen E. Biomarkers in subtypes of mild cognitive impairment and subjective cognitive decline. Brain Behav 2017; 7(9) e00776
[http://dx.doi.org/10.1002/brb3.776] [PMID: 28948074]
[25]
Fernández-Blázquez MA, Ávila-Villanueva M, Maestú F, Medina M. specific features of subjective cognitive decline predict faster conversion to mild cognitive impairment. J Alzheimers Dis 2016; 52(1): 271-81.
[26]
Ossenkoppele R, Jagust WJ. The complexity of subjective cognitive decline. JAMA Neurol 2017; 74(12): 1400-2.
[http://dx.doi.org/10.1001/jamaneurol.2017.2224]
[27]
Edmonds EC, Weigand AJ, Thomas KR, et al. Increasing inaccuracy of self-reported subjective cognitive complaints over 24 months in empirically derived subtypes of mild cognitive impairment. J Int Neuropsychol Soc 2018; 24(8): 842-53.
[http://dx.doi.org/10.1017/S1355617718000486] [PMID: 30278855]
[28]
Edmonds EC, Delano-Wood L, Galasko DR, Salmon DP, Bondi MW. Alzheimer’s Disease Neuroimaging Initiative. Subjective cognitive complaints contribute to misdiagnosis of mild cognitive impairment. J Int Neuropsychol Soc 2014; 20(8): 836-47.
[http://dx.doi.org/10.1017/S135561771400068X] [PMID: 25156329]
[29]
Jak AJ, Bondi MW, Delano-Wood L, et al. Quantification of five neuropsychological approaches to defining mild cognitive impairment. Am J Geriatr Psychiatry 2009; 17(5): 368-75.
[http://dx.doi.org/10.1097/JGP.0b013e31819431d5] [PMID: 19390294]
[30]
Staff PH. ADL-assessment. Scand J Rehabil Med Suppl 1980; 7: 153-7.
[PMID: 6932724]
[31]
Morris JC. The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology 1993; 43(11): 2412-4.
[http://dx.doi.org/10.1212/WNL.43.11.2412-a] [PMID: 8232972]
[32]
Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry 1960; 23: 56-62.
[http://dx.doi.org/10.1136/jnnp.23.1.56] [PMID: 14399272]
[33]
Katzman R, Zhang MY. Ouang-Ya-Qu , et al A Chinese version of the Mini-Mental State Examination; impact of illiteracy in a Shanghai dementia survey. J Clin Epidemiol 1988; 41(10): 971-8.
[http://dx.doi.org/10.1016/0895-4356(88)90034-0] [PMID: 3193141]
[34]
Hamilton M. The assessment of anxiety states by rating. Br J Med Psychol 1959; 32(1): 50-5.
[http://dx.doi.org/10.1111/j.2044-8341.1959.tb00467.x] [PMID: 13638508]
[35]
Zhao Q, Guo Q, Liang X, et al. Auditory verbal learning test is superior to rey-osterrieth complex figure memory for predicting mild cognitive impairment to Azheimer’s disease. Curr Alzheimer Res 2015; 12(6): 520-6.
[http://dx.doi.org/10.2174/1567205012666150530202729] [PMID: 26027810]
[36]
Guo Q, Zhao Q, Chen M, Ding D, Hong Z. A comparison study of mild cognitive impairment with 3 memory tests among Chinese individuals. Alzheimer Dis Assoc Disord 2009; 23(3): 253-9.
[http://dx.doi.org/10.1097/WAD.0b013e3181999e92] [PMID: 19812468]
[37]
Zhao Q, Guo Q, Hong Z. Clustering and switching during a semantic verbal fluency test contribute to differential diagnosis of cognitive impairment. Neurosci Bull 2013; 29(1): 75-82.
[http://dx.doi.org/10.1007/s12264-013-1301-7] [PMID: 23322003]
[38]
Guo Q, Hong Z, Shi W, Et A. Boston naming test in chinese elderly, patient with mild cognitive impairment and Alzheimer’s dementia. Chin Ment Health J 1991.
[39]
Zhao Q, Lv Y, Zhou Y, Hong Z, Guo Q. Short-term delayed recall of auditory verbal learning test is equivalent to long-term delayed recall for identifying amnestic mild cognitive impairment. PLoS One 2012; 7(12) e51157
[http://dx.doi.org/10.1371/journal.pone.0051157] [PMID: 23236445]
[40]
Gorno-Tempini ML, Hillis AE, Weintraub S, et al. Classification of primary progressive aphasia and its variants. Neurology 2011; 76(11): 1006-14.
[http://dx.doi.org/10.1212/WNL.0b013e31821103e6] [PMID: 21325651]
[41]
Galton CJ, Patterson K, Graham K, et al. Differing patterns of temporal atrophy in Alzheimer’s disease and semantic dementia. Neurology 2001; 57(2): 216-25.
[http://dx.doi.org/10.1212/WNL.57.2.216] [PMID: 11468305]
[42]
Busse A, Hensel A, Gühne U, Angermeyer MC, Riedel-Heller SG. Mild cognitive impairment: Long-term course of four clinical subtypes. Neurology 2006; 67(12): 2176-85.
[http://dx.doi.org/10.1212/01.wnl.0000249117.23318.e1] [PMID: 17190940]
[43]
Aisen PS, Petersen RC, Donohue MC, et al. Alzheimer’s Disease Neuroimaging Initiative. Clinical core of the Alzheimer’s disease neuroimaging initiative: Progress and plans. Alzheimers Dement 2010; 6(3): 239-46.
[http://dx.doi.org/10.1016/j.jalz.2010.03.006] [PMID: 20451872]
[44]
Thomas KR, Edmonds EC, Eppig JS, et al. Alzheimer’s Disease Neuroimaging Initiative. MCI-to-normal reversion using neuropsychological criteria in the Alzheimer’s Disease Neuroimaging Initiative. Alzheimers Dement 2019; 15(10): 1322-32.
[http://dx.doi.org/10.1016/j.jalz.2019.06.4948] [PMID: 31495605]
[45]
Papp KV, Buckley R, Mormino E, et al. Clinical meaningfulness of subtle cognitive decline on longitudinal testing in preclinical AD. Alzheimers Dement 2019; 19: S1552-5260.
[PMID: 31759879]
[46]
Crutch SJ, Lehmann M, Schott JM, Rabinovici GD, Rossor MN, Fox NC. Posterior cortical atrophy. Lancet Neurol 2012; 11(2): 170-8.
[http://dx.doi.org/10.1016/S1474-4422(11)70289-7] [PMID: 22265212]
[47]
Neary D, Snowden JS, Gustafson L, et al. Frontotemporal lobar degeneration: A consensus on clinical diagnostic criteria. Neurology 1998; 51(6): 1546-54.
[http://dx.doi.org/10.1212/WNL.51.6.1546] [PMID: 9855500]

Rights & Permissions Print Cite
Article Metrics
21
© 2024 Bentham Science Publishers | Privacy Policy