Literature DB >> 24012374

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

Stephanie Jb Vos1, 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.   

Abstract

BACKGROUND: New research criteria for preclinical Alzheimer's disease have been proposed, which include stages for cognitively normal individuals with abnormal amyloid markers (stage 1), abnormal amyloid and neuronal injury markers (stage 2), or abnormal amyloid and neuronal injury markers and subtle cognitive changes (stage 3). We aimed to investigate the prevalence and long-term outcome of preclinical Alzheimer's disease according to these criteria.
METHODS: Participants were cognitively normal (clinical dementia rating [CDR]=0) community-dwelling volunteers aged at least 65 years who were enrolled between 1998 and 2011 at the Washington University School of Medicine (MO, USA). CSF amyloid-β1-42 and tau concentrations and a memory composite score were used to classify participants as normal (both markers normal), preclinical Alzheimer's disease stage 1-3, or suspected non-Alzheimer pathophysiology (SNAP, abnormal injury marker without abnormal amyloid marker). The primary outcome was the proportion of participants in each preclinical AD stage. Secondary outcomes included progression to CDR at least 0·5, symptomatic Alzheimer's disease (score of at least 0·5 for memory and at least one other domain and cognitive impairments deemed to be due to Alzheimer's disease), and mortality. We undertook survival analyses using subdistribution and standard Cox hazards models and linear mixed models.
FINDINGS: Of 311 participants, 129 (41%) were classed as normal, 47 (15%) as stage 1, 36 (12%) as stage 2, 13 (4%) as stage 3, 72 (23%) as SNAP, and 14 (5%) remained unclassified. The 5-year progression rate to CDR at least 0·5, symptomatic Alzheimer's disease was 2% for participants classed as normal, 11% for stage 1, 26% for stage 2, 56% for stage 3, and 5% for SNAP. Compared with individuals classed as normal, participants with preclinical Alzheimer's disease had an increased risk of death after adjusting for covariates (hazard ratio 6·2, 95% CI 1·1-35·0; p=0·040).
INTERPRETATION: Preclinical Alzheimer's disease is common in cognitively normal elderly people and is associated with future cognitive decline and mortality. Thus, preclinical Alzheimer's disease could be an important target for therapeutic intervention. FUNDING: National Institute of Aging of the National Institutes of Health (P01-AG003991, P50-AG05681, P01-AG02676), Internationale Stichting Alzheimer Onderzoek, the Center for Translational Molecular Medicine project LeARN, the EU/EFPIA Innovative Medicines Initiative Joint Undertaking, and the Charles and Joanne Knight Alzheimer Research Initiative.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24012374      PMCID: PMC3904678          DOI: 10.1016/S1474-4422(13)70194-7

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  31 in total

1.  Tangles and plaques in nondemented aging and "preclinical" Alzheimer's disease.

Authors:  J L Price; J C Morris
Journal:  Ann Neurol       Date:  1999-03       Impact factor: 10.422

2.  Neuropathological and neuropsychological changes in "normal" aging: evidence for preclinical Alzheimer disease in cognitively normal individuals.

Authors:  C M Hulette; K A Welsh-Bohmer; M G Murray; A M Saunders; D C Mash; L M McIntyre
Journal:  J Neuropathol Exp Neurol       Date:  1998-12       Impact factor: 3.685

3.  Screening for dementia by memory testing.

Authors:  E Grober; H Buschke; H Crystal; S Bang; R Dresner
Journal:  Neurology       Date:  1988-06       Impact factor: 9.910

4.  Apolipoprotein E epsilon4 does not modulate amyloid-β-associated neurodegeneration in preclinical Alzheimer disease.

Authors:  R S Desikan; L K McEvoy; D Holland; W K Thompson; J B Brewer; P S Aisen; O A Andreassen; B T Hyman; R A Sperling; A M Dale
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-13       Impact factor: 3.825

5.  The Clinical Dementia Rating (CDR): current version and scoring rules.

Authors:  J C Morris
Journal:  Neurology       Date:  1993-11       Impact factor: 9.910

6.  Mild senile dementia of the Alzheimer type. 4. Evaluation of intervention.

Authors:  L Berg; J P Miller; J Baty; E H Rubin; J C Morris; G Figiel
Journal:  Ann Neurol       Date:  1992-03       Impact factor: 10.422

7.  Frequency of stages of Alzheimer-related lesions in different age categories.

Authors:  H Braak; E Braak
Journal:  Neurobiol Aging       Date:  1997 Jul-Aug       Impact factor: 4.673

8.  Clinicopathologic studies in cognitively healthy aging and Alzheimer's disease: relation of histologic markers to dementia severity, age, sex, and apolipoprotein E genotype.

Authors:  L Berg; D W McKeel; J P Miller; M Storandt; E H Rubin; J C Morris; J Baty; M Coats; J Norton; A M Goate; J L Price; M Gearing; S S Mirra; A M Saunders
Journal:  Arch Neurol       Date:  1998-03

9.  Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.

Authors:  G McKhann; D Drachman; M Folstein; R Katzman; D Price; E M Stadlan
Journal:  Neurology       Date:  1984-07       Impact factor: 9.910

10.  Clinical outcomes of possible versus probable Alzheimer's disease.

Authors:  Dennis T Villareal; Elizabeth Grant; J Philip Miller; Martha Storandt; Daniel W McKeel; John C Morris
Journal:  Neurology       Date:  2003-09-09       Impact factor: 9.910

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  244 in total

1.  Alzheimer Disease Cerebrospinal Fluid Biomarkers Moderate Baseline Differences and Predict Longitudinal Change in Attentional Control and Episodic Memory Composites in the Adult Children Study.

Authors:  Andrew J Aschenbrenner; David A Balota; Anne M Fagan; Janet M Duchek; Tammie L S Benzinger; John C Morris
Journal:  J Int Neuropsychol Soc       Date:  2015-09       Impact factor: 2.892

2.  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

3.  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 4.  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

5.  Temporal evolution of biomarkers and cognitive markers in the asymptomatic, MCI, and dementia stage of Alzheimer's disease.

Authors:  Daniela Bertens; Dirk L Knol; Philip Scheltens; Pieter Jelle Visser
Journal:  Alzheimers Dement       Date:  2014-08-20       Impact factor: 21.566

6.  Integrated multimodal imaging in neurodegenerative disease.

Authors:  Murray Grossman
Journal:  Lancet Neurol       Date:  2015-08-26       Impact factor: 44.182

Review 7.  It's complicated: The relationship between sleep and Alzheimer's disease in humans.

Authors:  Brendan P Lucey
Journal:  Neurobiol Dis       Date:  2020-07-29       Impact factor: 5.996

8.  Association of Klotho-VS Heterozygosity With Risk of Alzheimer Disease in Individuals Who Carry APOE4.

Authors:  Michael E Belloy; Valerio Napolioni; Summer S Han; Yann Le Guen; Michael D Greicius
Journal:  JAMA Neurol       Date:  2020-07-01       Impact factor: 18.302

9.  Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET.

Authors:  Tengfei Guo; Matthias Brendel; Timo Grimmer; Axel Rominger; Igor Yakushev
Journal:  J Nucl Med       Date:  2016-10-06       Impact factor: 10.057

10.  Examining the Complicated Relationship Between Depressive Symptoms and Cognitive Impairment in Preclinical Alzheimer Disease.

Authors:  Kavon Javaherian; Brianne M Newman; Hua Weng; Jason Hassenstab; Chengjie Xiong; Dean Coble; Anne M Fagan; Tammie Benzinger; John C Morris
Journal:  Alzheimer Dis Assoc Disord       Date:  2019 Jan-Mar       Impact factor: 2.703

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