Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease
Abstract 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...
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doaj-bdbe08b277d148c2b8ba2195fca6b9052020-11-25T02:53:07ZengBMCAlzheimer’s Research & Therapy1758-91932019-01-0111111110.1186/s13195-018-0456-xErlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s diseaseInês Baldeiras0Isabel Santana1Maria João Leitão2Daniela Vieira3Diana Duro4Barbara Mroczko5Johannes Kornhuber6Piotr Lewczuk7Neurology Department, Centro Hospitalar e Universitário de CoimbraNeurology Department, Centro Hospitalar e Universitário de CoimbraCenter for Neuroscience and Cell Biology, University of CoimbraNeurology Department, Centro Hospitalar e Universitário de CoimbraNeurology Department, Centro Hospitalar e Universitário de CoimbraDepartment of Neurodegeneration Diagnostics, Medical University of BiałystokDepartment of Psychiatry and Psychotherapy, Lab for Clinical Neurochemistry and Neurochemical Dementia Diagnostics, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-NürnbergDepartment of Neurodegeneration Diagnostics, Medical University of BiałystokAbstract 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.http://link.springer.com/article/10.1186/s13195-018-0456-xAlzheimer’s diseaseMild cognitive impairment—progressionCerebrospinal fluidBiomarker |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Inês Baldeiras Isabel Santana Maria João Leitão Daniela Vieira Diana Duro Barbara Mroczko Johannes Kornhuber Piotr Lewczuk |
spellingShingle |
Inês Baldeiras Isabel Santana Maria João Leitão Daniela Vieira Diana Duro Barbara Mroczko Johannes Kornhuber Piotr Lewczuk Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease Alzheimer’s Research & Therapy Alzheimer’s disease Mild cognitive impairment—progression Cerebrospinal fluid Biomarker |
author_facet |
Inês Baldeiras Isabel Santana Maria João Leitão Daniela Vieira Diana Duro Barbara Mroczko Johannes Kornhuber Piotr Lewczuk |
author_sort |
Inês Baldeiras |
title |
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_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_sort |
erlangen score as a tool to predict progression from mild cognitive impairment to dementia in alzheimer’s disease |
publisher |
BMC |
series |
Alzheimer’s Research & Therapy |
issn |
1758-9193 |
publishDate |
2019-01-01 |
description |
Abstract 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. |
topic |
Alzheimer’s disease Mild cognitive impairment—progression Cerebrospinal fluid Biomarker |
url |
http://link.springer.com/article/10.1186/s13195-018-0456-x |
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