The identification of cognitive subtypes in Alzheimer's disease dementia using latent class analysis

Journal of Neurology, Neurosurgery and Psychiatry

Volumn 87, Issue 3, 2016, Pages 235-243

  Scheltens, Nienke M E ^a   Galindo Garre, Francisca ^b   Pijnenburg, Yolande A L ^a   Van Der Vlies, Annelies E ^a   Smits, Lieke L ^a   Koene, Teddy ^b   Teunissen, Charlotte E ^b   Barkhof, Frederik ^b   Wattjes, Mike P ^b   Scheltens, Philip ^a   Van Der Flier, Wiesje M ^a,b  

^a ACADEMIC MEDICAL CENTER   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

APOLIPOPROTEIN E; AMYLOID BETA PROTEIN; AMYLOID BETA-PROTEIN (1-42); PEPTIDE FRAGMENT; TAU PROTEIN;

AGED; ALZHEIMER DISEASE; ARTICLE; CEREBROSPINAL FLUID; COGNITION; CONTROLLED STUDY; DEMENTIA; DEMOGRAPHY; DEPENDENT VARIABLE; DEPTH PERCEPTION; DISEASE SEVERITY; FEMALE; GENOTYPE; HUMAN; INDEPENDENT VARIABLE; MAJOR CLINICAL STUDY; MALE; MEMORY DISORDER; MINI MENTAL STATE EXAMINATION; NEUROBIOLOGY; NEUROPATHOLOGY; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; AGING; ATROPHY; BRAIN CORTEX; COGNITION DISORDERS; COMPLICATION; GENETICS; NEUROIMAGING; PATHOLOGY; PSYCHOLOGY; STATISTICAL MODEL;

AGED; AGING; ALZHEIMER DISEASE; AMYLOID BETA-PEPTIDES; APOLIPOPROTEINS E; ATROPHY; CEREBRAL CORTEX; COGNITION DISORDERS; FEMALE; GENOTYPE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, STATISTICAL; NEUROIMAGING; NEUROPSYCHOLOGICAL TESTS; PEPTIDE FRAGMENTS; TAU PROTEINS;

EID: 84929589759     PISSN: 00223050     EISSN: 1468330X     Source Type: Journal    
DOI: 10.1136/jnnp-2014-309582     Document Type: Article

References (40)

1. WHO report dementia 2012 [Internet]. http://www.who.int/mental-health/publications/dementia-report-2012/en/
2. Townsend M. When will Alzheimer's disease be cured? A pharmaceutical perspective. J Alzheimers Dis 2011;24(Suppl 2):43-52.
3. Alladi S, Xuereb J, Bak T, et al. Focal cortical presentations of Alzheimer's disease. Brain 2007;130(Pt 10):2636-45.
4. Koedam EL, Lauffer V, van der Vlies AE, et al. Early-versus late-onset Alzheimer's disease: more than age alone. J Alzheimers Dis 2010;19:1401-18.
5. Van der Flier WM, Pijnenburg YA, Fox NC, et al. Early-onset versus late-onset Alzheimer's disease: the case of the missing APOE ϵ4 allele. Lancet Neurol 2011;10:280-8.
6. Van der Vlies AE, Verwey NA, Bouwman FH, et al. CSF biomarkers in relationship to cognitive profiles in Alzheimer disease. Neurology 2009;72:1056-61.
7. McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 2011;7:263-9.
8. Gorno-Tempini ML, Hillis AE, Weintraub S, et al. Classification of primary progressive aphasia and its variants. Neurology 2011;76:1006-14.
9. Dickerson BC, Wolk DA, and Alzheimer's Disease Neuroimaging Initiative. Dysexecutive versus amnesic phenotypes of very mild Alzheimer's disease are associated with distinct clinical, genetic and cortical thinning characteristics. J Neurol Neurosurg Psychiatry 2011;82:45-51.
10. Benson DF, Davis RJ, Snyder BD. Posterior cortical atrophy. Arch Neurol 1988;45:789-93.
11. Stopford CL, Snowden JS, Thompson JC, et al. Variability in cognitive presentation of Alzheimer's disease. Cortex 2008;44:185-95.
12. Davidson JE, Irizarry MC, Bray BC, et al. An exploration of cognitive subgroups in Alzheimer's disease. J Int Neuropsychol Soc 2010;16:233-43.
13. Köhler S, Hamel R, Sistermans N, et al. Progression to dementia in memory clinic patients without dementia: a latent profile analysis. Neurology 2013;81:1342-9.
14. Damian M, Hausner L, Jekel K, et al. Single-domain amnestic mild cognitive impairment identified by cluster analysis predicts Alzheimer's disease in the European prospective DESCRIPA study. Dement Geriatr Cogn Disord 2013;36:1-19.
15. Libon DJ, Drabick DA, Giovannetti T, et al. Neuropsychological syndromes associated with Alzheimer's/vascular dementia: a latent class analysis. J Alzheimers Dis 2014;42:999-1014.
16. Peter J, Abdulkadir A, Kaller C, et al. Subgroups of Alzheimer's disease: stability of empirical clusters over time. J Alzheimers Dis 2014;42:651-61.
17. Magidson J, Vermunt J. Latent class models for clustering: a comparison with K-means. Canadian J Mark Res. Professional Marketing Research Society 2002;20:36-43.
18. Van der Flier WM, Pijnenburg YA, Prins N, et al. Optimizing patient care and research: the Amsterdam Dementia Cohort. J Alzheimers Dis 2014;41:313-27.
19. Verhage F. Intelligence and age: study with Dutch people aged 12-77. Assen: Van Gorcum, 1964.
20. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state." A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Resd 1975;12:189-98.
21. McKhann G, Drachman D, Folstein M, et al. 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;34:939-44.
22. Saan RJ, Deelman BG. De 15-woordentest A en B (een voorlopige handleiding). Afdeling Neuropsychologie, Groningen: AZG,. 1986.
23. Lindeboom J, Schmand B, Tulner L, et al. Visual association test to detect early dementia of the Alzheimer type. J Neurol NeurosurgPsychiatry 2002;73:126-33.
24. Bayles KA, Tomoeda CK. Arizona battery for communication disorders of dementia. Canyonlands Publishing, 1993.
25. Van der Elst W, Van Boxtel MP, Van Breukelen GJ, et al. Normative data for the Animal, Profession and Letter M Naming verbal fluency tests for Dutch speaking participants and the effects of age, education, and sex. J Int Neuropsychol Soc 2006;12:80-9.
26. Schmand B, Groenink SC, van den Dungen M. Letter fluency: psychometric properties and Dutch normative data. Tijdschr Gerontol Geriatr 2008;39:64-76.
27. Lindeboom J, Matto D. [Digit series and Knox cubes as concentration tests for elderly subjects]. Tijdschr Gerontol Geriatr 1994;25:63-8.
28. Reitan RM. Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and motor skills. Ammons Scientific 1958;8:271-6.
29. Dubois B, Slachevsky A, Litvan I, et al. The FAB: a Frontal Assessment Battery at bedside. Neurology 2000;55:1621-6.
30. Warrington EK, James M. The visual object and space perception battery. The visual object and space perception battery. Thames Valley Test Company Bury St Edmunds, 1991.
31. Scheltens P, Launer LJ, Barkhof F, et al. Visual assessment of medial temporal lobe atrophy on magnetic resonance imaging: interobserver reliability. J Neurol Germany 1995;242:557-60.
32. Koedam EL, Lehmann M, van der Flier WM, et al. Visual assessment of posterior atrophy development of a MRI rating scale. Eur Radiol 2011;21:2618-25.
33. Pasquier F, Leys D, Weerts JG, et al. Inter- and intraobserver reproducibility of cerebral atrophy assessment on MRI scans with hemispheric infarcts. Eur Neurol 1996;36:268-72.
34. Fazekas F, Chawluk JB, Alavi A, et al. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987;149:351-6.
35. Vermunt JK, Magidson J. Technical guide for Latent GOLD 4.0: basic and advanced. Belmont Mass.: Statistical Innovations Inc, 2005.
36. Enders CK. Applied Missing Data Analysis (Methodology in the Social Sciences). The Guilford Press New York, 2010.
37. Andrews RL, Currim IS. Retention of latent segments in regression-based marketing models. Int J Res Mark 2003;20:315-21.
38. Benjamini Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc 1995;57:289-300.
39. Sluimer JD, Vrenken H, Blankenstein MA, et al. Whole-brain atrophy rate in Alzheimer disease: identifying fast progressors. Neurology 2008;70(19 Pt 2):1836-41.
40. Magnin E, Paquet C, Formaglio M, et al. Increased cerebrospinal fluid tau levels in logopenic variant of Alzheimer's disease. J Alzheimers Dis 2014;39:611-16.