Literature DB >> 23686697

Mild cognitive impairment due to Alzheimer disease in the community.

Ronald C Petersen1, Paul Aisen, Bradley F Boeve, Yonas E Geda, Robert J Ivnik, David S Knopman, Michelle Mielke, Vernon S Pankratz, Rosebud Roberts, Walter A Rocca, Stephen Weigand, Michael Weiner, Heather Wiste, Clifford R Jack.   

Abstract

OBJECTIVE: The newly proposed National Institute on Aging-Alzheimer's Association (NIA-AA) criteria for mild cognitive impairment (MCI) due to Alzheimer disease (AD) suggest a combination of clinical features and biomarker measures, but their performance in the community is not known.
METHODS: The Mayo Clinic Study of Aging (MCSA) is a population-based longitudinal study of nondemented subjects in Olmsted County, Minnesota. A sample of 154 MCI subjects from the MCSA was compared to a sample of 58 amnestic MCI subjects from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI-1) to assess the applicability of the criteria in both settings and to assess their outcomes.
RESULTS: Fourteen percent of MCSA and 16% of ADNI-1 of subjects were biomarker negative. In addition, 14% of MCSA and 12% of ADNI-1 subjects had evidence for amyloid deposition only, whereas 43% of MCSA and 55% of ADNI-1 subjects had evidence for amyloid deposition plus neurodegeneration (magnetic resonance imaging atrophy, fluorodeoxyglucose positron emission tomography hypometabolism, or both). However, a considerable number of subjects had biomarkers inconsistent with the proposed AD model; for example, 29% of MCSA subjects and 17% of ADNI-1 subjects had evidence for neurodegeneration without amyloid deposition. These subjects may not be on an AD pathway. Neurodegeneration appears to be a key factor in predicting progression relative to amyloid deposition alone.
INTERPRETATION: The NIA-AA criteria apply to most MCI subjects in both the community and clinical trials settings; however, a sizeable proportion of subjects had conflicting biomarkers, which may be very important and need to be explored.
© 2013 American Neurological Association.

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Year:  2013        PMID: 23686697      PMCID: PMC3804562          DOI: 10.1002/ana.23931

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


  38 in total

1.  MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change.

Authors:  P Vemuri; H J Wiste; S D Weigand; L M Shaw; J Q Trojanowski; M W Weiner; D S Knopman; R C Petersen; C R Jack
Journal:  Neurology       Date:  2009-07-28       Impact factor: 9.910

2.  Comparing predictors of conversion and decline in mild cognitive impairment.

Authors:  S M Landau; D Harvey; C M Madison; E M Reiman; N L Foster; P S Aisen; R C Petersen; L M Shaw; J Q Trojanowski; C R Jack; M W Weiner; W J Jagust
Journal:  Neurology       Date:  2010-06-30       Impact factor: 9.910

3.  Automated MRI measures predict progression to Alzheimer's disease.

Authors:  Rahul S Desikan; Howard J Cabral; Fabio Settecase; Christopher P Hess; William P Dillon; Christine M Glastonbury; Michael W Weiner; Nicholas J Schmansky; David H Salat; Bruce Fischl
Journal:  Neurobiol Aging       Date:  2010-06-08       Impact factor: 4.673

4.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

Review 5.  Mild cognitive impairment: ten years later.

Authors:  Ronald C Petersen; Rosebud O Roberts; David S Knopman; Bradley F Boeve; Yonas E Geda; Robert J Ivnik; Glenn E Smith; Clifford R Jack
Journal:  Arch Neurol       Date:  2009-12

6.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade.

Authors:  Clifford R Jack; David S Knopman; William J Jagust; Leslie M Shaw; Paul S Aisen; Michael W Weiner; Ronald C Petersen; John Q Trojanowski
Journal:  Lancet Neurol       Date:  2010-01       Impact factor: 44.182

7.  CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment.

Authors:  Niklas Mattsson; Henrik Zetterberg; Oskar Hansson; Niels Andreasen; Lucilla Parnetti; Michael Jonsson; Sanna-Kaisa Herukka; Wiesje M van der Flier; Marinus A Blankenstein; Michael Ewers; Kenneth Rich; Elmar Kaiser; Marcel Verbeek; Magda Tsolaki; Ezra Mulugeta; Erik Rosén; Dag Aarsland; Pieter Jelle Visser; Johannes Schröder; Jan Marcusson; Mony de Leon; Harald Hampel; Philip Scheltens; Tuula Pirttilä; Anders Wallin; Maria Eriksdotter Jönhagen; Lennart Minthon; Bengt Winblad; Kaj Blennow
Journal:  JAMA       Date:  2009-07-22       Impact factor: 56.272

8.  Relationships between biomarkers in aging and dementia.

Authors:  W J Jagust; S M Landau; L M Shaw; J Q Trojanowski; R A Koeppe; E M Reiman; N L Foster; R C Petersen; M W Weiner; J C Price; C A Mathis
Journal:  Neurology       Date:  2009-10-13       Impact factor: 9.910

9.  Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease.

Authors:  Kelvin K Leung; Josephine Barnes; Gerard R Ridgway; Jonathan W Bartlett; Matthew J Clarkson; Kate Macdonald; Norbert Schuff; Nick C Fox; Sebastien Ourselin
Journal:  Neuroimage       Date:  2010-03-15       Impact factor: 6.556

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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  111 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.  Mapping 3-year changes in gray matter and metabolism in Aβ-positive nondemented subjects.

Authors:  Miguel Ángel Araque Caballero; Matthias Brendel; Andreas Delker; Jinyi Ren; Axel Rominger; Peter Bartenstein; Martin Dichgans; Michael W Weiner; Michael Ewers
Journal:  Neurobiol Aging       Date:  2015-08-18       Impact factor: 4.673

3.  The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations.

Authors:  E Cavedo; S Lista; Z Khachaturian; P Aisen; P Amouyel; K Herholz; C R Jack; R Sperling; J Cummings; K Blennow; S O'Bryant; G B Frisoni; A Khachaturian; M Kivipelto; W Klunk; K Broich; S Andrieu; M Thiebaut de Schotten; J-F Mangin; A A Lammertsma; K Johnson; S Teipel; A Drzezga; A Bokde; O Colliot; H Bakardjian; H Zetterberg; B Dubois; B Vellas; L S Schneider; H Hampel
Journal:  J Prev Alzheimers Dis       Date:  2014-12

4.  Feasibility and acceptance of simultaneous amyloid PET/MRI.

Authors:  Lisa Schütz; Donald Lobsien; Dominik Fritzsch; Solveig Tiepolt; Peter Werner; Matthias L Schroeter; Jörg Berrouschot; Dorothee Saur; Swen Hesse; Thies Jochimsen; Michael Rullmann; Bernhard Sattler; Marianne Patt; Hermann-Josef Gertz; Arno Villringer; Joseph Claßen; Karl-Titus Hoffmann; Osama Sabri; Henryk Barthel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-19       Impact factor: 9.236

5.  Subjective cognitive complaints contribute to misdiagnosis of mild cognitive impairment.

Authors:  Emily C Edmonds; Lisa Delano-Wood; Douglas R Galasko; David P Salmon; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2014-08-26       Impact factor: 2.892

6.  Differentiating Between Healthy Control Participants and Those with Mild Cognitive Impairment Using Volumetric MRI Data.

Authors:  Renée DeVivo; Lauren Zajac; Asim Mian; Anna Cervantes-Arslanian; Eric Steinberg; Michael L Alosco; Jesse Mez; Robert Stern; Ronald Killany
Journal:  J Int Neuropsychol Soc       Date:  2019-05-27       Impact factor: 2.892

7.  Susceptibility of the conventional criteria for mild cognitive impairment to false-positive diagnostic errors.

Authors:  Emily C Edmonds; Lisa Delano-Wood; Lindsay R Clark; Amy J Jak; Daniel A Nation; Carrie R McDonald; David J Libon; Rhoda Au; Douglas Galasko; David P Salmon; Mark W Bondi
Journal:  Alzheimers Dement       Date:  2014-05-22       Impact factor: 21.566

Review 8.  Future Directions in Imaging Neurodegeneration.

Authors:  Joseph C Masdeu
Journal:  Curr Neurol Neurosci Rep       Date:  2017-01       Impact factor: 5.081

9.  Use of Flutemetamol F 18-Labeled Positron Emission Tomography and Other Biomarkers to Assess Risk of Clinical Progression in Patients With Amnestic Mild Cognitive Impairment.

Authors:  David A Wolk; Carl Sadowsky; Beth Safirstein; Juha O Rinne; Ranjan Duara; Richard Perry; Marc Agronin; Jose Gamez; Jiong Shi; Adrian Ivanoiu; Lennart Minthon; Zuzana Walker; Steen Hasselbalch; Clive Holmes; Marwan Sabbagh; Marilyn Albert; Adam Fleisher; Paul Loughlin; Eric Triau; Kirk Frey; Peter Høgh; Andrea Bozoki; Roger Bullock; Eric Salmon; Gillian Farrar; Christopher J Buckley; Michelle Zanette; Paul F Sherwin; Andrea Cherubini; Fraser Inglis
Journal:  JAMA Neurol       Date:  2018-09-01       Impact factor: 18.302

10.  Mild cognitive impairment: associations with sleep disturbance, apolipoprotein e4, and sleep medications.

Authors:  Shanna L Burke; Tianyan Hu; Christine E Spadola; Tan Li; Mitra Naseh; Aaron Burgess; Tamara Cadet
Journal:  Sleep Med       Date:  2018-09-20       Impact factor: 3.492

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