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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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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. |
format | Online Article Text |
id | pubmed-3320090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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