Literature DB >> 22488240

An operational approach to National Institute on Aging-Alzheimer's Association criteria for preclinical Alzheimer disease.

Clifford R Jack1, David S Knopman, Stephen D Weigand, Heather J Wiste, Prashanthi Vemuri, Val Lowe, Kejal Kantarci, Jeffrey L Gunter, Matthew L Senjem, Robert J Ivnik, Rosebud O Roberts, Walter A Rocca, Bradley F Boeve, Ronald C Petersen.   

Abstract

OBJECTIVE: A workgroup commissioned by the Alzheimer's Association (AA) and the National Institute on Aging (NIA) recently published research criteria for preclinical Alzheimer disease (AD). We performed a preliminary assessment of these guidelines.
METHODS: We employed Pittsburgh compound B positron emission tomography (PET) imaging as our biomarker of cerebral amyloidosis, and (18) fluorodeoxyglucose PET imaging and hippocampal volume as biomarkers of neurodegeneration. A group of 42 clinically diagnosed AD subjects was used to create imaging biomarker cutpoints. A group of 450 cognitively normal (CN) subjects from a population-based sample was used to develop cognitive cutpoints and to assess population frequencies of the different preclinical AD stages using different cutpoint criteria.
RESULTS: The new criteria subdivide the preclinical phase of AD into stages 1 to 3. To classify our CN subjects, 2 additional categories were needed. Stage 0 denotes subjects with normal AD biomarkers and no evidence of subtle cognitive impairment. Suspected non-AD pathophysiology (SNAP) denotes subjects with normal amyloid PET imaging, but abnormal neurodegeneration biomarker studies. At fixed cutpoints corresponding to 90% sensitivity for diagnosing AD and the 10th percentile of CN cognitive scores, 43% of our sample was classified as stage 0, 16% stage 1, 12 % stage 2, 3% stage 3, and 23% SNAP.
INTERPRETATION: This cross-sectional evaluation of the NIA-AA criteria for preclinical AD indicates that the 1-3 staging criteria coupled with stage 0 and SNAP categories classify 97% of CN subjects from a population-based sample, leaving only 3% unclassified. Future longitudinal validation of the criteria will be important.
Copyright © 2012 American Neurological Association.

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Year:  2012        PMID: 22488240      PMCID: PMC3586223          DOI: 10.1002/ana.22628

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  71 in total

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5.  Cognitive decline and brain volume loss as signatures of cerebral amyloid-beta peptide deposition identified with Pittsburgh compound B: cognitive decline associated with Abeta deposition.

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Review 4.  Suspected non-Alzheimer disease pathophysiology--concept and controversy.

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7.  Operationalizing hippocampal volume as an enrichment biomarker for amnestic mild cognitive impairment trials: effect of algorithm, test-retest variability, and cut point on trial cost, duration, and sample size.

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9.  Defining imaging biomarker cut points for brain aging and Alzheimer's disease.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Terry M Therneau; Val J Lowe; David S Knopman; Jeffrey L Gunter; Matthew L Senjem; David T Jones; Kejal Kantarci; Mary M Machulda; Michelle M Mielke; Rosebud O Roberts; Prashanthi Vemuri; Denise A Reyes; Ronald C Petersen
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Review 10.  Risk factors for the progression of mild cognitive impairment to dementia.

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