High degree of heterogeneity in Alzheimer's disease progression patterns.

There have been several reports on the varying rates of progression among Alzheimer's Disease (AD) patients; however, there has been no quantitative study of the amount of heterogeneity in AD. Obtaining a reliable quantitative measure of AD progression rates and their variances among the patien...

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Main Authors: Natalia L Komarova, Craig J Thalhauser
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-11-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22072952/?tool=EBI
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spelling doaj-ee8f51759d4c43a1b7b743d170433e8a2021-04-21T15:09:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582011-11-01711e100225110.1371/journal.pcbi.1002251High degree of heterogeneity in Alzheimer's disease progression patterns.Natalia L KomarovaCraig J ThalhauserThere have been several reports on the varying rates of progression among Alzheimer's Disease (AD) patients; however, there has been no quantitative study of the amount of heterogeneity in AD. Obtaining a reliable quantitative measure of AD progression rates and their variances among the patients for each stage of AD is essential for evaluating results of any clinical study. The Global Deterioration Scale (GDS) and Functional Assessment Staging procedure (FAST) characterize seven stages in the course of AD from normal aging to severe dementia. Each GDS/FAST stage has a published mean duration, but the variance is unknown. We use statistical analysis to reconstruct GDS/FAST stage durations in a cohort of 648 AD patients with an average follow-up time of 4.78 years. Calculations for GDS/FAST stages 4-6 reveal that the standard deviations for stage durations are comparable with their mean values, indicating the presence of large variations in the AD progression among patients. Such amount of heterogeneity in the course of progression of AD is consistent with the existence of several sub-groups of AD patients, which differ by their patterns of decline.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22072952/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Natalia L Komarova
Craig J Thalhauser
spellingShingle Natalia L Komarova
Craig J Thalhauser
High degree of heterogeneity in Alzheimer's disease progression patterns.
PLoS Computational Biology
author_facet Natalia L Komarova
Craig J Thalhauser
author_sort Natalia L Komarova
title High degree of heterogeneity in Alzheimer's disease progression patterns.
title_short High degree of heterogeneity in Alzheimer's disease progression patterns.
title_full High degree of heterogeneity in Alzheimer's disease progression patterns.
title_fullStr High degree of heterogeneity in Alzheimer's disease progression patterns.
title_full_unstemmed High degree of heterogeneity in Alzheimer's disease progression patterns.
title_sort high degree of heterogeneity in alzheimer's disease progression patterns.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2011-11-01
description There have been several reports on the varying rates of progression among Alzheimer's Disease (AD) patients; however, there has been no quantitative study of the amount of heterogeneity in AD. Obtaining a reliable quantitative measure of AD progression rates and their variances among the patients for each stage of AD is essential for evaluating results of any clinical study. The Global Deterioration Scale (GDS) and Functional Assessment Staging procedure (FAST) characterize seven stages in the course of AD from normal aging to severe dementia. Each GDS/FAST stage has a published mean duration, but the variance is unknown. We use statistical analysis to reconstruct GDS/FAST stage durations in a cohort of 648 AD patients with an average follow-up time of 4.78 years. Calculations for GDS/FAST stages 4-6 reveal that the standard deviations for stage durations are comparable with their mean values, indicating the presence of large variations in the AD progression among patients. Such amount of heterogeneity in the course of progression of AD is consistent with the existence of several sub-groups of AD patients, which differ by their patterns of decline.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22072952/?tool=EBI
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AT craigjthalhauser highdegreeofheterogeneityinalzheimersdiseaseprogressionpatterns
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