Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data

Mild cognitive impairment (MCI) refers to the clinical state between normal cognition and probable Alzheimer's disease (AD), but persons diagnosed with MCI may progress to non-AD forms of dementia, remain MCI until death, or recover to normal cognition. Risk factors for these various clinical c...

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Autores principales: Abner, Erin L., Kryscio, Richard J., Cooper, Gregory E., Fardo, David W., Jicha, Gregory A., Mendiondo, Marta S., Nelson, Peter T., Smith, Charles D., Van Eldik, Linda J., Wan, Lijie, Schmitt, Frederick A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320090/
https://www.ncbi.nlm.nih.gov/pubmed/22536535
http://dx.doi.org/10.1155/2012/291920
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author Abner, Erin L.
Kryscio, Richard J.
Cooper, Gregory E.
Fardo, David W.
Jicha, Gregory A.
Mendiondo, Marta S.
Nelson, Peter T.
Smith, Charles D.
Van Eldik, Linda J.
Wan, Lijie
Schmitt, Frederick A.
author_facet Abner, Erin L.
Kryscio, Richard J.
Cooper, Gregory E.
Fardo, David W.
Jicha, Gregory A.
Mendiondo, Marta S.
Nelson, Peter T.
Smith, Charles D.
Van Eldik, Linda J.
Wan, Lijie
Schmitt, Frederick A.
author_sort Abner, Erin L.
collection PubMed
description Mild cognitive impairment (MCI) refers to the clinical state between normal cognition and probable Alzheimer's disease (AD), but persons diagnosed with MCI may progress to non-AD forms of dementia, remain MCI until death, or recover to normal cognition. Risk factors for these various clinical changes, which we term “transitions,” may provide targets for therapeutic interventions. Therefore, it is useful to develop new approaches to assess risk factors for these transitions. Markov models have been used to investigate the transient nature of MCI represented by amnestic single-domain and mixed MCI states, where mixed MCI comprised all other MCI subtypes based on cognitive assessments. The purpose of this study is to expand this risk model by including a clinically determined MCI state as an outcome. Analyses show that several common risk factors play different roles in affecting transitions to MCI and dementia. Notably, APOE-4 increases the risk of transition to clinical MCI but does not affect the risk for a final transition to dementia, and baseline hypertension decreases the risk of transition to dementia from clinical MCI.
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spelling pubmed-33200902012-04-25 Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data Abner, Erin L. Kryscio, Richard J. Cooper, Gregory E. Fardo, David W. Jicha, Gregory A. Mendiondo, Marta S. Nelson, Peter T. Smith, Charles D. Van Eldik, Linda J. Wan, Lijie Schmitt, Frederick A. Int J Alzheimers Dis Clinical Study Mild cognitive impairment (MCI) refers to the clinical state between normal cognition and probable Alzheimer's disease (AD), but persons diagnosed with MCI may progress to non-AD forms of dementia, remain MCI until death, or recover to normal cognition. Risk factors for these various clinical changes, which we term “transitions,” may provide targets for therapeutic interventions. Therefore, it is useful to develop new approaches to assess risk factors for these transitions. Markov models have been used to investigate the transient nature of MCI represented by amnestic single-domain and mixed MCI states, where mixed MCI comprised all other MCI subtypes based on cognitive assessments. The purpose of this study is to expand this risk model by including a clinically determined MCI state as an outcome. Analyses show that several common risk factors play different roles in affecting transitions to MCI and dementia. Notably, APOE-4 increases the risk of transition to clinical MCI but does not affect the risk for a final transition to dementia, and baseline hypertension decreases the risk of transition to dementia from clinical MCI. Hindawi Publishing Corporation 2012 2012-03-25 /pmc/articles/PMC3320090/ /pubmed/22536535 http://dx.doi.org/10.1155/2012/291920 Text en Copyright © 2012 Erin L. Abner et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
Abner, Erin L.
Kryscio, Richard J.
Cooper, Gregory E.
Fardo, David W.
Jicha, Gregory A.
Mendiondo, Marta S.
Nelson, Peter T.
Smith, Charles D.
Van Eldik, Linda J.
Wan, Lijie
Schmitt, Frederick A.
Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data
title Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data
title_full Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data
title_fullStr Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data
title_full_unstemmed Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data
title_short Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data
title_sort mild cognitive impairment: statistical models of transition using longitudinal clinical data
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320090/
https://www.ncbi.nlm.nih.gov/pubmed/22536535
http://dx.doi.org/10.1155/2012/291920
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