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Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis

INTRODUCTION: The Alzheimer’s disease (AD) composite score (ADCOMS) has been shown to be a more sensitive measure of cognitive change in early AD (i.e., mild cognitive impairment [MCI] and mild AD) than commonly used measures. This study derived ADCOMS value ranges associated with different disease...

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Autores principales: Tahami Monfared, Amir Abbas, Houghton, Katherine, Zhang, Quanwu, Mauskopf, Josephine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857364/
https://www.ncbi.nlm.nih.gov/pubmed/35099758
http://dx.doi.org/10.1007/s40120-022-00326-y
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author Tahami Monfared, Amir Abbas
Houghton, Katherine
Zhang, Quanwu
Mauskopf, Josephine
author_facet Tahami Monfared, Amir Abbas
Houghton, Katherine
Zhang, Quanwu
Mauskopf, Josephine
author_sort Tahami Monfared, Amir Abbas
collection PubMed
description INTRODUCTION: The Alzheimer’s disease (AD) composite score (ADCOMS) has been shown to be a more sensitive measure of cognitive change in early AD (i.e., mild cognitive impairment [MCI] and mild AD) than commonly used measures. This study derived ADCOMS value ranges associated with different disease severity stages across the predementia and AD continuum. METHODS: Data from patients enrolled in the Alzheimer’s Disease Neuroimaging Initiative were assessed at baseline and month 24. Data were randomly split into derivation and validation samples. Receiver-operating characteristic (ROC) curves of ADCOMS values were generated in the derivation sample to assess the sensitivity and specificity of ADCOMS cutoff values compared with existing disease severity cutoff scores using the Clinical Dementia Rating (CDR) global, CDR Sum of Boxes, Alzheimer’s Disease Assessment Scale-Cognitive Subscale, and Mini-Mental State Examination. Optimal ADCOMS cutoff values for each disease stage were compared between the derivation and the validation samples using a χ(2) test. The diagnostic accuracy of the derived ADCOMS cutoff values was then assessed. The analyses were repeated for the subset with positive amyloid β confirmation (Aβ +). RESULTS: The following ADCOMS value ranges for the total population and Aβ + population were < 0.11 indicative of normal cognition, 0.11 to < 0.31 indicative of MCI, 0.31 to 0.77 indicative of mild AD, and > 0.77 indicative of at least moderate AD. The reliability of these ADCOMS value ranges was supported by diagnostic accuracy tests and tests indicating no significant difference in the ROC curves between the derivation and validation samples. CONCLUSION: ADCOMS values ranges can be used to assess the severity of cognitive decline. The derived severity threshold score ranges for ADCOMS will enable its use as an endpoint in clinical trials assessing disease progression and clinical outcomes of disease-modifying therapies in persons with MCI or early AD, including patients with Aβ + confirmation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-022-00326-y.
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spelling pubmed-88573642022-02-23 Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis Tahami Monfared, Amir Abbas Houghton, Katherine Zhang, Quanwu Mauskopf, Josephine Neurol Ther Original Research INTRODUCTION: The Alzheimer’s disease (AD) composite score (ADCOMS) has been shown to be a more sensitive measure of cognitive change in early AD (i.e., mild cognitive impairment [MCI] and mild AD) than commonly used measures. This study derived ADCOMS value ranges associated with different disease severity stages across the predementia and AD continuum. METHODS: Data from patients enrolled in the Alzheimer’s Disease Neuroimaging Initiative were assessed at baseline and month 24. Data were randomly split into derivation and validation samples. Receiver-operating characteristic (ROC) curves of ADCOMS values were generated in the derivation sample to assess the sensitivity and specificity of ADCOMS cutoff values compared with existing disease severity cutoff scores using the Clinical Dementia Rating (CDR) global, CDR Sum of Boxes, Alzheimer’s Disease Assessment Scale-Cognitive Subscale, and Mini-Mental State Examination. Optimal ADCOMS cutoff values for each disease stage were compared between the derivation and the validation samples using a χ(2) test. The diagnostic accuracy of the derived ADCOMS cutoff values was then assessed. The analyses were repeated for the subset with positive amyloid β confirmation (Aβ +). RESULTS: The following ADCOMS value ranges for the total population and Aβ + population were < 0.11 indicative of normal cognition, 0.11 to < 0.31 indicative of MCI, 0.31 to 0.77 indicative of mild AD, and > 0.77 indicative of at least moderate AD. The reliability of these ADCOMS value ranges was supported by diagnostic accuracy tests and tests indicating no significant difference in the ROC curves between the derivation and validation samples. CONCLUSION: ADCOMS values ranges can be used to assess the severity of cognitive decline. The derived severity threshold score ranges for ADCOMS will enable its use as an endpoint in clinical trials assessing disease progression and clinical outcomes of disease-modifying therapies in persons with MCI or early AD, including patients with Aβ + confirmation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-022-00326-y. Springer Healthcare 2022-01-31 /pmc/articles/PMC8857364/ /pubmed/35099758 http://dx.doi.org/10.1007/s40120-022-00326-y Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Tahami Monfared, Amir Abbas
Houghton, Katherine
Zhang, Quanwu
Mauskopf, Josephine
Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis
title Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis
title_full Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis
title_fullStr Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis
title_full_unstemmed Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis
title_short Staging Disease Severity Using the Alzheimer’s Disease Composite Score (ADCOMS): A Retrospective Data Analysis
title_sort staging disease severity using the alzheimer’s disease composite score (adcoms): a retrospective data analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857364/
https://www.ncbi.nlm.nih.gov/pubmed/35099758
http://dx.doi.org/10.1007/s40120-022-00326-y
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