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

Authors :
Jack CR Jr
Knopman DS
Weigand SD
Wiste HJ
Vemuri P
Lowe V
Kantarci K
Gunter JL
Senjem ML
Ivnik RJ
Roberts RO
Rocca WA
Boeve BF
Petersen RC
Source :
Annals of neurology [Ann Neurol] 2012 Jun; Vol. 71 (6), pp. 765-75. Date of Electronic Publication: 2012 Apr 09.
Publication Year :
2012

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.<br />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.<br />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.<br />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.<br /> (Copyright © 2012 American Neurological Association.)

Details

Language :
English
ISSN :
1531-8249
Volume :
71
Issue :
6
Database :
MEDLINE
Journal :
Annals of neurology
Publication Type :
Academic Journal
Accession number :
22488240
Full Text :
https://doi.org/10.1002/ana.22628