Literature DB >> 22551733

Short-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease.

D S Knopman1, C R Jack, H J Wiste, S D Weigand, P Vemuri, V Lowe, K Kantarci, J L Gunter, M L Senjem, R J Ivnik, R O Roberts, B F Boeve, R C Petersen.   

Abstract

OBJECTIVE: Recommendations for the diagnosis of preclinical Alzheimer disease (AD) have been formulated by a workgroup of the National Institute on Aging and Alzheimer's Association. Three stages of preclinical AD were described. Stage 1 is characterized by abnormal levels of β-amyloid. Stage 2 represents abnormal levels of β-amyloid and evidence of brain neurodegeneration. Stage 3 includes the features of stage 2 plus subtle cognitive changes. Stage 0, not explicitly defined in the criteria, represents subjects with normal biomarkers and normal cognition. The ability of the recommended criteria to predict progression to cognitive impairment is the crux of their validity.
METHODS: Using previously developed operational definitions of the 3 stages of preclinical AD, we examined the outcomes of subjects from the Mayo Clinic Study of Aging diagnosed as cognitively normal who underwent brain MRI or [(18)F]fluorodeoxyglucose and Pittsburgh compound B PET, had global cognitive test scores, and were followed for at least 1 year.
RESULTS: Of the 296 initially normal subjects, 31 (10%) progressed to a diagnosis of mild cognitive impairment (MCI) or dementia (27 amnestic MCI, 2 nonamnestic MCI, and 2 non-AD dementias) within 1 year. The proportion of subjects who progressed to MCI or dementia increased with advancing stage (stage 0, 5%; stage 1, 11%; stage 2, 21%; stage 3, 43%; test for trend, p < 0.001).
CONCLUSIONS: Despite the short follow-up period, our operationalization of the new preclinical AD recommendations confirmed that advancing preclinical stage led to higher proportions of subjects who progressed to MCI or dementia.

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Year:  2012        PMID: 22551733      PMCID: PMC3348848          DOI: 10.1212/WNL.0b013e3182563bbe

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  38 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis.

Authors:  Brian J Lopresti; William E Klunk; Chester A Mathis; Jessica A Hoge; Scott K Ziolko; Xueling Lu; Carolyn C Meltzer; Kurt Schimmel; Nicholas D Tsopelas; Steven T DeKosky; Julie C Price
Journal:  J Nucl Med       Date:  2005-12       Impact factor: 10.057

3.  CSF biomarkers and medial temporal lobe atrophy predict dementia in mild cognitive impairment.

Authors:  F H Bouwman; S N M Schoonenboom; W M van der Flier; E J van Elk; A Kok; F Barkhof; M A Blankenstein; Ph Scheltens
Journal:  Neurobiol Aging       Date:  2006-06-19       Impact factor: 4.673

4.  Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations.

Authors:  Ian Campbell
Journal:  Stat Med       Date:  2007-08-30       Impact factor: 2.373

5.  Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans.

Authors:  Anne M Fagan; Mark A Mintun; Robert H Mach; Sang-Yoon Lee; Carmen S Dence; Aarti R Shah; Gina N LaRossa; Michael L Spinner; William E Klunk; Chester A Mathis; Steven T DeKosky; John C Morris; David M Holtzman
Journal:  Ann Neurol       Date:  2006-03       Impact factor: 10.422

6.  Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh Compound-B.

Authors:  Julie C Price; William E Klunk; Brian J Lopresti; Xueling Lu; Jessica A Hoge; Scott K Ziolko; Daniel P Holt; Carolyn C Meltzer; Steven T DeKosky; Chester A Mathis
Journal:  J Cereb Blood Flow Metab       Date:  2005-11       Impact factor: 6.200

Review 7.  Mild cognitive impairment as a diagnostic entity.

Authors:  R C Petersen
Journal:  J Intern Med       Date:  2004-09       Impact factor: 8.989

8.  Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease.

Authors:  Kerryn E Pike; Greg Savage; Victor L Villemagne; Steven Ng; Simon A Moss; Paul Maruff; Chester A Mathis; William E Klunk; Colin L Masters; Christopher C Rowe
Journal:  Brain       Date:  2007-10-10       Impact factor: 13.501

9.  Anterior temporal lobes and hippocampal formations: normative volumetric measurements from MR images in young adults.

Authors:  C R Jack; C K Twomey; A R Zinsmeister; F W Sharbrough; R C Petersen; G D Cascino
Journal:  Radiology       Date:  1989-08       Impact factor: 11.105

10.  Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease.

Authors:  Clifford R Jack; Heather J Wiste; Prashanthi Vemuri; Stephen D Weigand; Matthew L Senjem; Guang Zeng; Matt A Bernstein; Jeffrey L Gunter; Vernon S Pankratz; Paul S Aisen; Michael W Weiner; Ronald C Petersen; Leslie M Shaw; John Q Trojanowski; David S Knopman
Journal:  Brain       Date:  2010-10-08       Impact factor: 13.501

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  134 in total

1.  Suspected non-AD pathology in mild cognitive impairment.

Authors:  Laura E M Wisse; Nirali Butala; Sandhitsu R Das; Christos Davatzikos; Bradford C Dickerson; Sanjeev N Vaishnavi; Paul A Yushkevich; David A Wolk
Journal:  Neurobiol Aging       Date:  2015-09-07       Impact factor: 4.673

2.  Amyloid imaging in cognitively normal older adults: comparison between (18)F-flutemetamol and (11)C-Pittsburgh compound B.

Authors:  Katarzyna Adamczuk; Jolien Schaeverbeke; Natalie Nelissen; Veerle Neyens; Mathieu Vandenbulcke; Karolien Goffin; Johan Lilja; Kelly Hilven; Patrick Dupont; Koen Van Laere; Rik Vandenberghe
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-08-12       Impact factor: 9.236

Review 3.  Suspected non-Alzheimer disease pathophysiology--concept and controversy.

Authors:  Clifford R Jack; David S Knopman; Gaël Chételat; Dennis Dickson; Anne M Fagan; Giovanni B Frisoni; William Jagust; Elizabeth C Mormino; Ronald C Petersen; Reisa A Sperling; Wiesje M van der Flier; Victor L Villemagne; Pieter J Visser; Stephanie J B Vos
Journal:  Nat Rev Neurol       Date:  2016-01-18       Impact factor: 42.937

4.  Voxel Level Survival Analysis of Grey Matter Volume and Incident Mild Cognitive Impairment or Alzheimer's Disease.

Authors:  Lubov E Zeifman; William F Eddy; Oscar L Lopez; Lewis H Kuller; Cyrus Raji; Paul M Thompson; James T Becker
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

5.  Preclinical Alzheimer's disease criteria.

Authors:  Anne M Fagan; Stephanie J B Vos
Journal:  Lancet Neurol       Date:  2013-09-09       Impact factor: 44.182

6.  Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study.

Authors:  Stephanie Jb Vos; Chengjie Xiong; Pieter Jelle Visser; Mateusz S Jasielec; Jason Hassenstab; Elizabeth A Grant; Nigel J Cairns; John C Morris; David M Holtzman; Anne M Fagan
Journal:  Lancet Neurol       Date:  2013-09-04       Impact factor: 44.182

Review 7.  Primary and Secondary Prevention Trials in Alzheimer Disease: Looking Back, Moving Forward.

Authors:  David Hsu; Gad A Marshall
Journal:  Curr Alzheimer Res       Date:  2017       Impact factor: 3.498

Review 8.  Emerging biomarkers in cognition.

Authors:  Meredith Wicklund; Ronald C Petersen
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

9.  Brain injury biomarkers are not dependent on β-amyloid in normal elderly.

Authors:  David S Knopman; Clifford R Jack; Heather J Wiste; Stephen D Weigand; Prashanthi Vemuri; Val J Lowe; Kejal Kantarci; Jeffrey L Gunter; Matthew L Senjem; Michelle M Mielke; Rosebud O Roberts; Bradley F Boeve; Ronald C Petersen
Journal:  Ann Neurol       Date:  2013-02-19       Impact factor: 10.422

10.  Alzheimer's disease neurodegenerative biomarkers are associated with decreased cognitive function but not β-amyloid in cognitively normal older individuals.

Authors:  Miranka Wirth; Cindee M Madison; Gil D Rabinovici; Hwamee Oh; Susan M Landau; William J Jagust
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

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