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Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study

INTRODUCTION: Mild cognitive impairment (MCI) is associated with an increased risk of developing dementia. However, many individuals diagnosed with MCI are found to have reverted to normal cognition on follow-up. This study investigated factors predicting or associated with reversion from MCI to nor...

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Autores principales: Sachdev, Perminder S., Lipnicki, Darren M., Crawford, John, Reppermund, Simone, Kochan, Nicole A., Trollor, Julian N., Wen, Wei, Draper, Brian, Slavin, Melissa J., Kang, Kristan, Lux, Ora, Mather, Karen A., Brodaty, Henry, Team, Ageing Study
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3609866/
https://www.ncbi.nlm.nih.gov/pubmed/23544083
http://dx.doi.org/10.1371/journal.pone.0059649
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author Sachdev, Perminder S.
Lipnicki, Darren M.
Crawford, John
Reppermund, Simone
Kochan, Nicole A.
Trollor, Julian N.
Wen, Wei
Draper, Brian
Slavin, Melissa J.
Kang, Kristan
Lux, Ora
Mather, Karen A.
Brodaty, Henry
Team, Ageing Study
author_facet Sachdev, Perminder S.
Lipnicki, Darren M.
Crawford, John
Reppermund, Simone
Kochan, Nicole A.
Trollor, Julian N.
Wen, Wei
Draper, Brian
Slavin, Melissa J.
Kang, Kristan
Lux, Ora
Mather, Karen A.
Brodaty, Henry
Team, Ageing Study
author_sort Sachdev, Perminder S.
collection PubMed
description INTRODUCTION: Mild cognitive impairment (MCI) is associated with an increased risk of developing dementia. However, many individuals diagnosed with MCI are found to have reverted to normal cognition on follow-up. This study investigated factors predicting or associated with reversion from MCI to normal cognition. METHODS: Our analyses considered 223 participants (48.9% male) aged 71–89 years, drawn from the prospective, population-based Sydney Memory and Ageing Study. All were diagnosed with MCI at baseline and subsequently classified with either normal cognition or repeat diagnosis of MCI after two years (a further 11 participants who progressed from MCI to dementia were excluded). Associations with reversion were investigated for (1) baseline factors that included diagnostic features, personality, neuroimaging, sociodemographics, lifestyle, and physical and mental health; (2) longitudinal change in potentially modifiable factors. RESULTS: There were 66 reverters to normal cognition and 157 non-reverters (stable MCI). Regression analyses identified diagnostic features as most predictive of prognosis, with reversion less likely in participants with multiple-domain MCI (p = 0.011), a moderately or severely impaired cognitive domain (p = 0.002 and p = 0.006), or an informant-based memory complaint (p = 0.031). Reversion was also less likely for participants with arthritis (p = 0.037), but more likely for participants with higher complex mental activity (p = 0.003), greater openness to experience (p = 0.041), better vision (p = 0.014), better smelling ability (p = 0.040), or larger combined volume of the left hippocampus and left amygdala (p<0.040). Reversion was also associated with a larger drop in diastolic blood pressure between baseline and follow-up (p = 0.026). DISCUSSION: Numerous factors are associated with reversion from MCI to normal cognition. Assessing these factors could facilitate more accurate prognosis of individuals with MCI. Participation in cognitively enriching activities and efforts to lower blood pressure might promote reversion.
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spelling pubmed-36098662013-03-29 Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study Sachdev, Perminder S. Lipnicki, Darren M. Crawford, John Reppermund, Simone Kochan, Nicole A. Trollor, Julian N. Wen, Wei Draper, Brian Slavin, Melissa J. Kang, Kristan Lux, Ora Mather, Karen A. Brodaty, Henry Team, Ageing Study PLoS One Research Article INTRODUCTION: Mild cognitive impairment (MCI) is associated with an increased risk of developing dementia. However, many individuals diagnosed with MCI are found to have reverted to normal cognition on follow-up. This study investigated factors predicting or associated with reversion from MCI to normal cognition. METHODS: Our analyses considered 223 participants (48.9% male) aged 71–89 years, drawn from the prospective, population-based Sydney Memory and Ageing Study. All were diagnosed with MCI at baseline and subsequently classified with either normal cognition or repeat diagnosis of MCI after two years (a further 11 participants who progressed from MCI to dementia were excluded). Associations with reversion were investigated for (1) baseline factors that included diagnostic features, personality, neuroimaging, sociodemographics, lifestyle, and physical and mental health; (2) longitudinal change in potentially modifiable factors. RESULTS: There were 66 reverters to normal cognition and 157 non-reverters (stable MCI). Regression analyses identified diagnostic features as most predictive of prognosis, with reversion less likely in participants with multiple-domain MCI (p = 0.011), a moderately or severely impaired cognitive domain (p = 0.002 and p = 0.006), or an informant-based memory complaint (p = 0.031). Reversion was also less likely for participants with arthritis (p = 0.037), but more likely for participants with higher complex mental activity (p = 0.003), greater openness to experience (p = 0.041), better vision (p = 0.014), better smelling ability (p = 0.040), or larger combined volume of the left hippocampus and left amygdala (p<0.040). Reversion was also associated with a larger drop in diastolic blood pressure between baseline and follow-up (p = 0.026). DISCUSSION: Numerous factors are associated with reversion from MCI to normal cognition. Assessing these factors could facilitate more accurate prognosis of individuals with MCI. Participation in cognitively enriching activities and efforts to lower blood pressure might promote reversion. Public Library of Science 2013-03-27 /pmc/articles/PMC3609866/ /pubmed/23544083 http://dx.doi.org/10.1371/journal.pone.0059649 Text en © 2013 Sachdev et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sachdev, Perminder S.
Lipnicki, Darren M.
Crawford, John
Reppermund, Simone
Kochan, Nicole A.
Trollor, Julian N.
Wen, Wei
Draper, Brian
Slavin, Melissa J.
Kang, Kristan
Lux, Ora
Mather, Karen A.
Brodaty, Henry
Team, Ageing Study
Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study
title Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study
title_full Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study
title_fullStr Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study
title_full_unstemmed Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study
title_short Factors Predicting Reversion from Mild Cognitive Impairment to Normal Cognitive Functioning: A Population-Based Study
title_sort factors predicting reversion from mild cognitive impairment to normal cognitive functioning: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3609866/
https://www.ncbi.nlm.nih.gov/pubmed/23544083
http://dx.doi.org/10.1371/journal.pone.0059649
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