Literature DB >> 29859866

Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center.

John J Hanfelt1, Limin Peng2, Felicia C Goldstein3, James J Lah4.   

Abstract

Given the importance of identifying prodromes of dementia with specific etiologies, we assessed whether seven latent classes of mild cognitive impairment (MCI), defined empirically based on cognitive, functional, and neuropsychiatric information at initial visit, are associated with distinct clinical outcomes and neuropathological features. We separated 6034 participants with a baseline diagnosis of MCI into seven latent classes using previously defined criteria. We found that these latent classes of MCI differed significantly in their clinical outcomes, survival time, and neuropathology. Two amnestic multi-domain subgroups, as well as two other subgroups with functional impairments and neuropsychiatric disturbances, were at higher risk of not only a 'pure' form of Alzheimer's disease (AD) pathology, but also a 'mixed' pathology consisting of both AD and vascular features. Moreover, the seven latent classes had different risks of Lewy bodies, hippocampal sclerosis, and frontotemporal lobar degeneration (FTLD). This study indicates that data-driven subgroups of MCI are clinicopathologically informative and, with refinement, could lead to targeted interventions focused on each etiology.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Competing risks; Frontotemporal lobar degeneration; Latent class analysis; Lewy bodies; Mild cognitive impairment; Prodromal dementia; Survival analysis; Vascular dementia

Mesh:

Year:  2018        PMID: 29859866      PMCID: PMC6093304          DOI: 10.1016/j.nbd.2018.05.025

Source DB:  PubMed          Journal:  Neurobiol Dis        ISSN: 0969-9961            Impact factor:   5.996


  39 in total

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Authors:  Giorgos Bakoyannis; Fotios Siannis; Giota Touloumi
Journal:  Stat Med       Date:  2010-12-30       Impact factor: 2.373

2.  Are empirically-derived subtypes of mild cognitive impairment consistent with conventional subtypes?

Authors:  Lindsay R Clark; Lisa Delano-Wood; David J Libon; Carrie R McDonald; Daniel A Nation; Katherine J Bangen; Amy J Jak; Rhoda Au; David P Salmon; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2013-04-03       Impact factor: 2.892

Review 3.  Impact of multiple pathologies on the threshold for clinically overt dementia.

Authors:  Alifiya Kapasi; Charles DeCarli; Julie A Schneider
Journal:  Acta Neuropathol       Date:  2017-05-09       Impact factor: 17.088

4.  Measurement of functional activities in older adults in the community.

Authors:  R I Pfeffer; T T Kurosaki; C H Harrah; J M Chance; S Filos
Journal:  J Gerontol       Date:  1982-05

Review 5.  Atrial fibrillation and incidence of dementia: a systematic review and meta-analysis.

Authors:  C S Kwok; Y K Loke; R Hale; J F Potter; P K Myint
Journal:  Neurology       Date:  2011-03-08       Impact factor: 9.910

6.  Cortical Amyloid Burden Differences Across Empirically-Derived Mild Cognitive Impairment Subtypes and Interaction with APOE ɛ4 Genotype.

Authors:  Katherine J Bangen; Alexandra L Clark; Madeline Werhane; Emily C Edmonds; Daniel A Nation; Nicole Evangelista; David J Libon; Mark W Bondi; Lisa Delano-Wood
Journal:  J Alzheimers Dis       Date:  2016-03-29       Impact factor: 4.472

7.  Atrial fibrillation and the risk of incident dementia: a meta-analysis.

Authors:  Pasquale Santangeli; Luigi Di Biase; Rong Bai; Sanghamitra Mohanty; Agnes Pump; Mauricio Cereceda Brantes; Rodney Horton; J David Burkhardt; Dhanunjaya Lakkireddy; Yeruva Madhu Reddy; Michela Casella; Antonio Dello Russo; Claudio Tondo; Andrea Natale
Journal:  Heart Rhythm       Date:  2012-08-02       Impact factor: 6.343

8.  Dual Trajectories of Depression and Cognition: A Longitudinal Population-Based Study.

Authors:  Julie A Graziane; Joanne C Beer; Beth E Snitz; Chung-Chou H Chang; Mary Ganguli
Journal:  Am J Geriatr Psychiatry       Date:  2015-10-22       Impact factor: 4.105

9.  Statistically Derived Subtypes and Associations with Cerebrospinal Fluid and Genetic Biomarkers in Mild Cognitive Impairment: A Latent Profile Analysis.

Authors:  Joel S Eppig; Emily C Edmonds; Laura Campbell; Mark Sanderson-Cimino; Lisa Delano-Wood; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2017-06-05       Impact factor: 2.892

Review 10.  The neuropathological profile of mild cognitive impairment (MCI): a systematic review.

Authors:  B C M Stephan; S Hunter; D Harris; D J Llewellyn; M Siervo; F E Matthews; C Brayne
Journal:  Mol Psychiatry       Date:  2011-12-06       Impact factor: 15.992

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  6 in total

1.  Diagnosing Mild Cognitive Impairment Among Racially Diverse Older Adults: Comparison of Consensus, Actuarial, and Statistical Methods.

Authors:  Kathryn N Devlin; Laura Brennan; Laura Saad; Tania Giovannetti; Roy H Hamilton; David A Wolk; Sharon X Xie; Dawn Mechanic-Hamilton
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.472

2.  Evaluating the association between latent classes and competing risks outcomes with multiphenotype data.

Authors:  Teng Fei; John Hanfelt; Limin Peng
Journal:  Biometrics       Date:  2021-09-17       Impact factor: 2.571

3.  Data-Driven vs Consensus Diagnosis of MCI: Enhanced Sensitivity for Detection of Clinical, Biomarker, and Neuropathologic Outcomes.

Authors:  Emily C Edmonds; Denis S Smirnov; Kelsey R Thomas; Lisa V Graves; Katherine J Bangen; Lisa Delano-Wood; Douglas R Galasko; David P Salmon; Mark W Bondi
Journal:  Neurology       Date:  2021-08-10       Impact factor: 11.800

4.  Scalable and robust latent trajectory class analysis using artificial likelihood.

Authors:  Kari R Hart; Teng Fei; John J Hanfelt
Journal:  Biometrics       Date:  2020-09-14       Impact factor: 1.701

5.  An Exploration of Subgroups of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Their Risks of Conversion to Dementia or Death.

Authors:  Jiayue Qiu; Felicia C Goldstein; John J Hanfelt
Journal:  Am J Geriatr Psychiatry       Date:  2022-01-03       Impact factor: 7.996

6.  Does Empirically Derived Classification of Individuals with Subjective Cognitive Complaints Predict Dementia?

Authors:  Eduardo Picón; Onésimo Juncos-Rabadán; Cristina Lojo-Seoane; María Campos-Magdaleno; Sabela C Mallo; Ana Nieto-Vietes; Arturo X Pereiro; David Facal
Journal:  Brain Sci       Date:  2019-11-07
  6 in total

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