Validation of the Erlangen Score Algorithm for Differential Dementia Diagnosis in Autopsy-Confirmed Subjects.
Aged
Aged, 80 and over
Algorithms
Alzheimer Disease
/ cerebrospinal fluid
Amyloid beta-Peptides
/ cerebrospinal fluid
Autopsy
Biomarkers
/ cerebrospinal fluid
Brain
/ pathology
Dementia
/ cerebrospinal fluid
Diagnosis, Differential
Female
Humans
Male
Middle Aged
Peptide Fragments
/ cerebrospinal fluid
ROC Curve
Reproducibility of Results
tau Proteins
/ cerebrospinal fluid
Alzheimer’s disease
amyloid
biomarkers
cerebrospinal fluid
dementia
harmonization
standardization
tau
Journal
Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863
Informations de publication
Date de publication:
2019
2019
Historique:
pubmed:
19
3
2019
medline:
28
8
2020
entrez:
19
3
2019
Statut:
ppublish
Résumé
Despite decades of research on the optimization of the diagnosis of Alzheimer's disease (AD), its biomarker-based diagnosis is being hampered by the lack of comparability of raw biomarker data. In order to overcome this limitation, the Erlangen Score (ES), among other approaches, was set up as a diagnostic-relevant interpretation algorithm. To validate the ES algorithm in a cohort of neuropathologically confirmed cases with AD (n = 106) and non-AD dementia (n = 57). Cerebrospinal fluid (CSF) biomarker concentrations of Aβ1-42, T-tau, and P-tau181 were measured with commercially available single analyte ELISA kits. Based on these biomarkers, ES was calculated as previously reported. This algorithm proved to categorize AD in different degrees of likelihood, ranging from neurochemically "normal", "improbably having AD", "possibly having AD", to "probably having AD", with a diagnostic accuracy of 74% using the neuropathology as a reference. The ability of the ES to overcome the high variability of raw CSF biomarker data may provide a useful diagnostic tool for comparing neurochemical diagnoses between different labs or methods used.
Sections du résumé
BACKGROUND
Despite decades of research on the optimization of the diagnosis of Alzheimer's disease (AD), its biomarker-based diagnosis is being hampered by the lack of comparability of raw biomarker data. In order to overcome this limitation, the Erlangen Score (ES), among other approaches, was set up as a diagnostic-relevant interpretation algorithm.
OBJECTIVE
To validate the ES algorithm in a cohort of neuropathologically confirmed cases with AD (n = 106) and non-AD dementia (n = 57).
METHODS
Cerebrospinal fluid (CSF) biomarker concentrations of Aβ1-42, T-tau, and P-tau181 were measured with commercially available single analyte ELISA kits. Based on these biomarkers, ES was calculated as previously reported.
RESULTS
This algorithm proved to categorize AD in different degrees of likelihood, ranging from neurochemically "normal", "improbably having AD", "possibly having AD", to "probably having AD", with a diagnostic accuracy of 74% using the neuropathology as a reference.
CONCLUSION
The ability of the ES to overcome the high variability of raw CSF biomarker data may provide a useful diagnostic tool for comparing neurochemical diagnoses between different labs or methods used.
Identifiants
pubmed: 30883344
pii: JAD180563
doi: 10.3233/JAD-180563
pmc: PMC6484252
doi:
Substances chimiques
Amyloid beta-Peptides
0
Biomarkers
0
Peptide Fragments
0
amyloid beta-protein (1-42)
0
tau Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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