Cited by 37Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Thinking Outside the Box: Alzheimer-Type Neuropathology That Does Not Map Directly Onto Current Consensus Recommendations

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Nelson, Peter T., Kukull, Walter A., Frosch, Matthew P.·2010·Journal of Neuropathology & Experimental Neurology

Abstract

The brains of many cognitively impaired patients fall into neuropathologic diagnostic categories that cannot be defined explicitly by guidelines of the National Institute on Aging and Reagan Institute. Here, 2 specific case categories are considered: i) "tangle-intensive" patients with the highest density of neurofibrillary tangles (as graded by the Braak staging system) but only moderate density of neuritic amyloid plaques (as graded by the Consortium to Establish a Registry for Alzheimer's Disease); and ii) "plaque-intensive" patients with intermediate severity neurofibrillary tangles and high density of neuritic amyloid plaques. To understand these technically unclassifiable cases better, we analyzed 1,677 cases with antemortem diagnoses of dementia from the National Alzheimer's Coordinating Center Registry; this registry includes both clinical and pathologic data from the National Institute on Aging-funded Alzheimer Disease Center. To evaluate the diagnostic tendencies of Alzheimer Disease Center neuropathologists, we assessed how the plaque-intensive and tangle-intensive cases were diagnosed. Tangle-intensive cases were more likely to be designated "high likelihood" that the dementia was due to Alzheimer disease, whereas plaque-intensive cases were typically designated as "intermediate likelihood." Only the Braak Stage VI tangle-intensive cases had lower final Mini-Mental State Examination scores than the plaque-intensive cases (p < 0.02). We conclude that more explicit diagnostic categories and a better understanding of the pathology in earlier phases of the disease may be helpful for guiding neuropathologists in the diagnosis of Alzheimer disease.

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  • NIA-Reagan provides instructions for classification of only 3 of 25 possible combinations of CERAD neuritic plaque density and Braak stage.

    “Because of 25 possible combinations of CERAD neuritic plaque density and Braak neurofibrillary stage, NIA-Reagan provides instructions for classification of only 3 (32, 38).”

    From Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010 (2012) · cites this paper as [32]

    The Introduction (page unavailable) describes three NIA-Reagan likelihood categories and says off-diagonal plaque–tangle pairings are not clearly addressed. It does not support the count of 25 possible combinations: it describes four CERAD tiers and Braak stages 0–VI. The three categories also cover ranges of Braak stages, rather than just three individual combinations. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Due to idiosyncratic assignment of NIA-Reagan categories from case to case, we instead stratified by all relevant combinations of CERAD neuritic plaque density and Braak stage.

    “Due to the idiosyncratic assignment of these categories from case to case (32), we instead stratified by all relevant combinations of the deterministic histopathological scores, consisting of the CERAD-defined neuritic plaque density score (29) and the Braak neurofibrillary tangle stage (33).”

    From Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010 (2012) · cites this paper as [32]

    The Results report relatively low consistency in NIA-Reagan category assignments for cases outside the guidelines, supporting the concern behind the citing authors’ choice. But they also report high consistency for cases that match the guidelines, so the source does not support describing assignments as idiosyncratic across cases generally. The decision to stratify by CERAD and Braak scores is the citing authors’ own method, not a finding attributed to this source. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Evaluation of AD status was conducted using National Institute on Aging Reagan Institute guidelines including evaluation of neurofibrillary tangles and neuritic senile plaques.

    “Evaluation of AD status was conducted by the AD Center Neuropathology and Clinical Cores using guidelines set forth by the National Institute on Aging Reagan Institute that included evaluation of neurofibrillary tangles and neuritic senile plaques [36–38].”

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Research works printed but not linked: 15

  1. [1]Consensus recommendations for the postmortem diagnosis of Alzheimer’s disease. The National Institute on Aging, and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer’s Disease Neurobiology of aging 1997e 18 S1 2 9330978
  2. [2]Braak H Braak E Staging of Alzheimer’s disease-related neurofibrillary changes Neurobiology of aging 1995e 16 271 8 discussion 8–84 7566337
  3. [4]Beekly DL Ramos EM van Belle G Deitrich W Clark AD Jacka ME Kukull WA The National Alzheimer’s Coordinating Center (NACC) Database: an Alzheimer disease database Alzheimer disease and associated disorders 2004e 18 270 7 15592144
  4. [5]Nelson PT Jicha GA Kryscio RJ Abner EL Schmitt FA Cooper G Xu LO Smith CD Markesbery WR Low sensitivity in clinical diagnoses of dementia with Lewy bodies J Neurol 2009e PMC2839040 19795154
  5. [7]McKeith IG Dickson DW Lowe J Emre M O’Brien JT Feldman H Cummings J Duda JE Lippa C Perry EK Aarsland D Arai H Ballard CG Boeve B Burn DJ Costa D Del Ser T Dubois B Galasko D Gauthier S Goetz CG Gomez-Tortosa E Halliday G Hansen LA Hardy J Iwatsubo T Kalaria RN Kaufer D Kenny RA Korczyn A Kosaka K Lee VM Lees A Litvan I Londos E Lopez OL Minoshima S Mizuno Y Molina JA Mukaetova-Ladinska EB Pasquier F Perry RH Schulz JB Trojanowski JQ Yamada M Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium Neurology 2005e 65 1863 72 16237129
  6. [8]Halliday G Ng T Rodriguez M Harding A Blumbergs P Evans W Fabian V Fryer J Gonzales M Harper C Kalnins R Masters CL McLean C Milder DG Pamphlett R Scott G Tannenberg A Kril J Consensus neuropathological diagnosis of common dementia syndromes: testing and standardising the use of multiple diagnostic criteria Acta neuropathologica 2002e 104 72 8 12070667
  7. [9]Alafuzoff I Arzberger T Al-Sarraj S Bodi I Bogdanovic N Braak H Bugiani O Del-Tredici K Ferrer I Gelpi E Giaccone G Graeber MB Ince P Kamphorst W King A Korkolopoulou P Kovacs GG Larionov S Meyronet D Monoranu C Parchi P Patsouris E Roggendorf W Seilhean D Tagliavini F Stadelmann C Streichenberger N Thal DR Wharton SB Kretzschmar H Staging of neurofibrillary pathology in Alzheimer’s disease: a study of the BrainNet Europe Consortium Brain Pathol 2008e 18 484 96 18371174 PMC2659377
  8. [11]Nelson PT Abner EL Schmitt FA Kryscio RJ Jicha GA Smith CD Davis DG Poduska JW Patel E Mendiondo MS Markesbery WR Modeling the Association between 43 Different Clinical and Pathological Variables and the Severity of Cognitive Impairment in a Large Autopsy Cohort of Elderly Persons Brain Pathol 2008e PMC2864342 19021630
  9. [14]Arriagada PV Growdon JH Hedley-Whyte ET Hyman BT Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer’s disease Neurology 1992e 42 631 9 1549228
  10. [15]Nelson PT Braak H Markesbery WR Neuropathology and cognitive impairment in Alzheimer disease: a complex but coherent relationship Journal of neuropathology and experimental neurology 2009e 68 1 14 19104448 PMC2692822
  11. [16]Ingelsson M Fukumoto H Newell KL Growdon JH Hedley-Whyte ET Frosch MP Albert MS Hyman BT Irizarry MC Early Abeta accumulation and progressive synaptic loss, gliosis, and tangle formation in AD brain Neurology 2004e 62 925 31 15037694
  12. [17]Nagy Z Esiri MM Jobst KA Morris JH King EM McDonald B Litchfield S Smith A Barnetson L Smith AD Relative roles of plaques and tangles in the dementia of Alzheimer’s disease: correlations using three sets of neuropathological criteria Dementia (Basel, Switzerland) 1995e 6 21 31 7728216
  13. [18]Tiraboschi P Hansen LA Thal LJ Corey-Bloom J The importance of neuritic plaques and tangles to the development and evolution of AD Neurology 2004e 62 1984 9 15184601
  14. [19]Whitwell JL Josephs KA Murray ME Kantarci K Przybelski SA Weigand SD Vemuri P Senjem ML Parisi JE Knopman DS Boeve BF Petersen RC Dickson DW Jack CR Jr MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study Neurology 2008e 71 743 9 18765650 PMC2676950
  15. [20]Jellinger KA Criteria for the neuropathological diagnosis of dementing disorders: routes out of the swamp? Acta Neuropathol 2009e 117 101 10 19052757

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Authors
Nelson, P. T., Kukull, W. A., & Frosch, M. P.
Affiliations
  • University of Kentucky HealthCare (US)
  • Harvard University (US)
Corresponding author
Nelson, Peter T.
Venue
Journal of Neuropathology & Experimental Neurology
Published
2010-05
Volume
69
Issue
5
Pages
449-454
ISSN
  • 0022-3069 (ISSN-L)
  • 1554-6578
OpenAlex
W2057057871
Cited by
37
References
6
Citations by year
2024: 1 · 2023: 1 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 4 · 2016: 2 · 2015: 4 · 2013: 2 · 2012: 4
FWCI
4.15
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuropathology & Experimental Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Aging (P30AG028383, U01AG016976, P50AG005134)
  • National Institute of Neurological Disorders and Stroke (R01NS061933, K08NS050110)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
Alzheimer's disease, neuropathology, neurofibrillary tangles, Braak staging, dementia diagnosis, diagnostic categories, cognitive impairment
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Brain, Consensus Statements as Topic, Dementia, Female, Humans, Male, Psychiatric Status Rating Scales, Risk Factors, Severity of Illness Index, Cohort Studies, Geriatric Assessment, Neurofibrillary Tangles, Consensus

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