Literature DB >> 22932720

The National Institute on Aging-Alzheimer's Association research criteria for mild cognitive impairment due to Alzheimer's disease: predicting the outcome.

Liang-Hao Guo1, Panagiotis Alexopoulos, Tamara Eisele, Stefan Wagenpfeil, Alexander Kurz, Robert Perneczky.   

Abstract

The National Institute on Aging-Alzheimer's Association (NIA-AA) clinical research criteria for mild cognitive impairment (MCI) due to Alzheimer's disease (AD) incorporate the use of biomarkers to classify patients according to the likelihood of the presence of AD pathology. The aim of the study was to compare the risk of progression to AD dementia between the four NIA-AA MCI subgroups using data from the AD Neuroimaging Initiative. Patients with MCI were categorised according to the NIA-AA criteria into subgroups with high, intermediate, and low likelihood of the presence of AD pathology (MCI-high, MCI-intermediate, and MCI-unlikely, respectively) or into a group of patients that only met the MCI-core clinical criteria (MCI-core). Data of follow-up visits conducted 6-60 months after baseline were used to compare the relative risk of future AD dementia between the four subgroups employing a Cox regression model. The MCI-high subgroup (N = 22) had a 2.3 times higher risk of developing AD dementia compared with the MCI-core subgroup (N = 327; P = 0.002), while there was a trend for a higher risk in the MCI-high subgroup in contrast to the MCI-intermediate subgroup (N = 31, P = 0.08). No patients in the MCI-unlikely subgroup (N = 17) progressed to AD dementia. Patients with MCI-high have a higher risk for developing AD dementia. The new NIA-AA MCI criteria represent a valuable research instrument that could be incorporated into the diagnostic process of the MCI syndrome after optimisation and refinement.

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Year:  2012        PMID: 22932720     DOI: 10.1007/s00406-012-0349-0

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  42 in total

1.  Subacute meningoencephalitis in a subset of patients with AD after Abeta42 immunization.

Authors:  J-M Orgogozo; S Gilman; J-F Dartigues; B Laurent; M Puel; L C Kirby; P Jouanny; B Dubois; L Eisner; S Flitman; B F Michel; M Boada; A Frank; C Hock
Journal:  Neurology       Date:  2003-07-08       Impact factor: 9.910

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.  Episodic memory loss is related to hippocampal-mediated beta-amyloid deposition in elderly subjects.

Authors:  E C Mormino; J T Kluth; C M Madison; G D Rabinovici; S L Baker; B L Miller; R A Koeppe; C A Mathis; M W Weiner; W J Jagust
Journal:  Brain       Date:  2008-11-28       Impact factor: 13.501

Review 4.  Alzheimer's disease.

Authors:  Clive Ballard; Serge Gauthier; Anne Corbett; Carol Brayne; Dag Aarsland; Emma Jones
Journal:  Lancet       Date:  2011-03-01       Impact factor: 79.321

Review 5.  Neuropathology of frontotemporal lobar degeneration-tau (FTLD-tau).

Authors:  Dennis W Dickson; Naomi Kouri; Melissa E Murray; Keith A Josephs
Journal:  J Mol Neurosci       Date:  2011-07-01       Impact factor: 3.444

6.  Two-year follow-up of amyloid deposition in patients with Alzheimer's disease.

Authors:  Henry Engler; Anton Forsberg; Ove Almkvist; Gunnar Blomquist; Emma Larsson; Irina Savitcheva; Anders Wall; Anna Ringheim; Bengt Långström; Agneta Nordberg
Journal:  Brain       Date:  2006-07-19       Impact factor: 13.501

7.  Classification criteria for mild cognitive impairment: a population-based validation study.

Authors:  K Ritchie; S Artero; J Touchon
Journal:  Neurology       Date:  2001-01-09       Impact factor: 9.910

8.  Predicting MCI outcome with clinically available MRI and CSF biomarkers.

Authors:  D Heister; J B Brewer; S Magda; K Blennow; L K McEvoy
Journal:  Neurology       Date:  2011-10-12       Impact factor: 9.910

9.  Is the word 'biomarker' being properly used by proteomics research in neuroscience?

Authors:  Daniel Martins-de-Souza
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2010-02-14       Impact factor: 5.270

10.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.

Authors:  Leslie M Shaw; Hugo Vanderstichele; Malgorzata Knapik-Czajka; Christopher M Clark; Paul S Aisen; Ronald C Petersen; Kaj Blennow; Holly Soares; Adam Simon; Piotr Lewczuk; Robert Dean; Eric Siemers; William Potter; Virginia M-Y Lee; John Q Trojanowski
Journal:  Ann Neurol       Date:  2009-04       Impact factor: 10.422

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  12 in total

1.  Innovative potential treatment strategies for schizophrenia and biomarkers for Alzheimer's disease.

Authors:  Andrea Schmitt; Peter Falkai
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-06       Impact factor: 5.270

Review 2.  Fluid and imaging biomarkers for Alzheimer's disease: Where we stand and where to head to.

Authors:  Adriane Dallanora Henriques; Andrea Lessa Benedet; Einstein Francisco Camargos; Pedro Rosa-Neto; Otávio Toledo Nóbrega
Journal:  Exp Gerontol       Date:  2018-01-04       Impact factor: 4.032

Review 3.  2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Johan Luthman; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Li Shen; Adam Schwarz; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2015-06       Impact factor: 21.566

Review 4.  Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Michael C Donohue; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Paul M Thompson; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 5.  Risk factors for the progression of mild cognitive impairment to dementia.

Authors:  Noll L Campbell; Fred Unverzagt; Michael A LaMantia; Babar A Khan; Malaz A Boustani
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

6.  Mapping CSF biomarker profiles onto NIA-AA guidelines for Alzheimer's disease.

Authors:  Panagiotis Alexopoulos; Jennifer Roesler; Nathalie Thierjung; Lukas Werle; Dorothea Buck; Igor Yakushev; Lena Gleixner; Simone Kagerbauer; Marion Ortner; Timo Grimmer; Hubert Kübler; Jan Martin; Nikolaos Laskaris; Alexander Kurz; Robert Perneczky
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-08-08       Impact factor: 5.270

7.  Heart-type fatty acid binding protein and vascular endothelial growth factor: cerebrospinal fluid biomarker candidates for Alzheimer's disease.

Authors:  Liang-Hao Guo; Panagiotis Alexopoulos; Robert Perneczky
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-04-17       Impact factor: 5.270

8.  Conflicting cerebrospinal fluid biomarkers and progression to dementia due to Alzheimer's disease.

Authors:  Panagiotis Alexopoulos; Lukas Werle; Jennifer Roesler; Nathalie Thierjung; Lena Sophie Gleixner; Igor Yakushev; Nikolaos Laskaris; Stefan Wagenpfeil; Philippos Gourzis; Alexander Kurz; Robert Perneczky
Journal:  Alzheimers Res Ther       Date:  2016-12-09       Impact factor: 6.982

9.  Apathy and Leukoaraiosis in Mild Cognitive Impairment and Alzheimer's Disease: Multicenter Diagnostic Criteria according to the Latest Studies.

Authors:  Carmen María Sarabia-Cobo; Victoria Pérez; Carmen Hermosilla; María José Nuñez; Pablo de Lorena
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2014-07-01

10.  Addition of the Aβ42/40 ratio to the cerebrospinal fluid biomarker profile increases the predictive value for underlying Alzheimer's disease dementia in mild cognitive impairment.

Authors:  Inês Baldeiras; Isabel Santana; Maria João Leitão; Helena Gens; Rui Pascoal; Miguel Tábuas-Pereira; José Beato-Coelho; Diana Duro; Maria Rosário Almeida; Catarina Resende Oliveira
Journal:  Alzheimers Res Ther       Date:  2018-03-20       Impact factor: 6.982

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