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Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease

BACKGROUND: The previously described and validated Erlangen Score (ES) algorithm enables interpretation of the cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD), ordering them on an ordinal scale: from neurochemically normal (ES = 0) through improbable AD (ES = 1), possible AD (ES = 2...

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Autores principales: Baldeiras, Inês, Santana, Isabel, Leitão, Maria João, Vieira, Daniela, Duro, Diana, Mroczko, Barbara, Kornhuber, Johannes, Lewczuk, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320577/
https://www.ncbi.nlm.nih.gov/pubmed/30611311
http://dx.doi.org/10.1186/s13195-018-0456-x
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author Baldeiras, Inês
Santana, Isabel
Leitão, Maria João
Vieira, Daniela
Duro, Diana
Mroczko, Barbara
Kornhuber, Johannes
Lewczuk, Piotr
author_facet Baldeiras, Inês
Santana, Isabel
Leitão, Maria João
Vieira, Daniela
Duro, Diana
Mroczko, Barbara
Kornhuber, Johannes
Lewczuk, Piotr
author_sort Baldeiras, Inês
collection PubMed
description BACKGROUND: The previously described and validated Erlangen Score (ES) algorithm enables interpretation of the cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD), ordering them on an ordinal scale: from neurochemically normal (ES = 0) through improbable AD (ES = 1), possible AD (ES = 2 or 3), to probable AD (ES = 4). Here we assess the accuracy of the ES in predicting hazards of progression from the mild cognitive impairment (MCI) stage of AD to the dementia stage of the disease (Alzheimer’s disease dementia (ADD)) in a novel, single-center cohort. METHODS: Baseline CSF biomarkers (amyloid beta (Aβ) 1–42, Aβ42/40, Tau, and pTau181), interpreted according to the ES, were used to estimate time to progression from the MCI stage of AD to ADD, conditional on age, gender, APOE ε4 genotype, and Mini Mental State Examination score in 144 MCI subjects, using the Extended Cox Model; the subjects were followed-up until they developed dementia or until they had been cognitively stable for at least 2 years. In addition, ES distributions were studied in 168 ADD cases and 66 neurologic controls. Further, we stratified MCI patients into those who progressed to ADD faster (within 3 years, n = 47) and those who progressed slower (n = 74). RESULTS: The distributions of the ES categories across the four diagnostic groups (Controls, MCI-Stable, MCI-AD, and ADD) were highly significantly different (Kruskal–Wallis χ(2)(df = 3) = 151.4, p < 0.001), with significant contrasts between each pair (p < 0.005), except between the ADD and the MCI-AD groups (p = 1.0). MCI patients with ES = 2 or 3 had 6–8 times higher hazards to progress to ADD compared to patients with ES = 0 or 1 in the first 3 follow-up years, and then their hazards decreased to those of the group with ES = 0 or 1. Patients with ES = 4 had hazards 8–12 times higher compared to the ES = 0 or 1 group. Faster progressors with ES = 2 or 3 had, in comparison to slower progressors, significantly lower Aβ1–42, Aβ1–40, and Aβ42/40, but comparable Tau and pTau181. A highly significant difference of the ES distributions between these two groups was observed (p < 0.001). CONCLUSIONS: Our current results reconfirm and extend the conclusions of the previously published report that the Erlangen Score is a useful tool facilitating interpretation of a complex pattern of the CSF AD biomarkers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0456-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-63205772019-01-08 Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease Baldeiras, Inês Santana, Isabel Leitão, Maria João Vieira, Daniela Duro, Diana Mroczko, Barbara Kornhuber, Johannes Lewczuk, Piotr Alzheimers Res Ther Research BACKGROUND: The previously described and validated Erlangen Score (ES) algorithm enables interpretation of the cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD), ordering them on an ordinal scale: from neurochemically normal (ES = 0) through improbable AD (ES = 1), possible AD (ES = 2 or 3), to probable AD (ES = 4). Here we assess the accuracy of the ES in predicting hazards of progression from the mild cognitive impairment (MCI) stage of AD to the dementia stage of the disease (Alzheimer’s disease dementia (ADD)) in a novel, single-center cohort. METHODS: Baseline CSF biomarkers (amyloid beta (Aβ) 1–42, Aβ42/40, Tau, and pTau181), interpreted according to the ES, were used to estimate time to progression from the MCI stage of AD to ADD, conditional on age, gender, APOE ε4 genotype, and Mini Mental State Examination score in 144 MCI subjects, using the Extended Cox Model; the subjects were followed-up until they developed dementia or until they had been cognitively stable for at least 2 years. In addition, ES distributions were studied in 168 ADD cases and 66 neurologic controls. Further, we stratified MCI patients into those who progressed to ADD faster (within 3 years, n = 47) and those who progressed slower (n = 74). RESULTS: The distributions of the ES categories across the four diagnostic groups (Controls, MCI-Stable, MCI-AD, and ADD) were highly significantly different (Kruskal–Wallis χ(2)(df = 3) = 151.4, p < 0.001), with significant contrasts between each pair (p < 0.005), except between the ADD and the MCI-AD groups (p = 1.0). MCI patients with ES = 2 or 3 had 6–8 times higher hazards to progress to ADD compared to patients with ES = 0 or 1 in the first 3 follow-up years, and then their hazards decreased to those of the group with ES = 0 or 1. Patients with ES = 4 had hazards 8–12 times higher compared to the ES = 0 or 1 group. Faster progressors with ES = 2 or 3 had, in comparison to slower progressors, significantly lower Aβ1–42, Aβ1–40, and Aβ42/40, but comparable Tau and pTau181. A highly significant difference of the ES distributions between these two groups was observed (p < 0.001). CONCLUSIONS: Our current results reconfirm and extend the conclusions of the previously published report that the Erlangen Score is a useful tool facilitating interpretation of a complex pattern of the CSF AD biomarkers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0456-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-05 /pmc/articles/PMC6320577/ /pubmed/30611311 http://dx.doi.org/10.1186/s13195-018-0456-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Baldeiras, Inês
Santana, Isabel
Leitão, Maria João
Vieira, Daniela
Duro, Diana
Mroczko, Barbara
Kornhuber, Johannes
Lewczuk, Piotr
Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
title Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
title_full Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
title_fullStr Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
title_full_unstemmed Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
title_short Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
title_sort erlangen score as a tool to predict progression from mild cognitive impairment to dementia in alzheimer’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320577/
https://www.ncbi.nlm.nih.gov/pubmed/30611311
http://dx.doi.org/10.1186/s13195-018-0456-x
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