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Technical performance of a novel, fully automated electrochemiluminescence immunoassay for the quantitation of β‐amyloid (1–42) in human cerebrospinal fluid
Open accessAbstract
INTRODUCTION: Available assays for quantitation of the Alzheimer's disease (AD) biomarker amyloid-beta 1-42 (Aβ [1-42]) in cerebrospinal fluid demonstrate significant variability and lack of standardization to reference measurement procedures (RMPs). We report analytical performance data for the novel Elecsys β-amyloid (1-42) assay (Roche Diagnostics). METHODS: Lot-to-lot comparability was tested using method comparison. Performance parameters were measured according to Clinical & Laboratory Standards Institute (CLSI) guidelines. The assay was standardized to a Joint Committee for Traceability in Laboratory Medicine (JCTLM) approved RMP. RESULTS: Limit of quantitation was <11.28 pg/mL, and the assay was linear throughout the measuring range (200-1700 pg/mL). Excellent lot-to-lot comparability was observed (correlation coefficients [Pearson's r] >0.995; bias in medical decision area <2%). Repeatability coefficients of variation (CVs) were 1.0%-1.6%, intermediate CVs were 1.9%-4.0%, and intermodule CVs were 1.1%-3.9%. Estimated total reproducibility was 2.0%-5.1%. Correlation with the RMP was good (Pearson's r, 0.93). DISCUSSION: The Elecsys β-amyloid (1-42) assay has high analytical performance that may improve biomarker-based AD diagnosis.
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“Recently, fully automated immunoassays have been developed by several different vendors with improved reliability and precision for CSF Aβ and tau species.23,24,25”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [23]
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Metadata
- Authors
- Bittner, T., Zetterberg, H., Teunissen, C. E., Ostlund, R. E., Militello, M., Andreasson, U., Hubeek, I., Gibson, D., Chu, D. C., Eichenlaub, U., Heiss, P., Kobold, U., Leinenbach, A., Madin, K., Manuilova, E., Rabe, C., & Blennow, K.
- Affiliations
- Roche Diagnostics GmbH Penzberg Germany
- UCL Queen Square Institute of Neurology (GB)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Washington University in St. Louis (US)
- Covance (United States) (US)
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology The Sahlgrenska Academy at University of Gothenburg Mölndal Sweden
- University of Gothenburg (SE)
- Corresponding author
- Blennow, Kaj
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2015-11-07
- Volume
- 12
- Issue
- 5
- Pages
- 517-526
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2111951761
- Cited by
- 374
- References
- 37
- Citations by year
- 2026: 27 · 2025: 41 · 2024: 49 · 2023: 29 · 2022: 35 · 2021: 52 · 2020: 41 · 2019: 39 · 2018: 33 · 2017: 15 · 2016: 11
- FWCI
- 14.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by-nc-nd)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Roche Diagnostics GmbH
- Torsten Söderberg Foundation
- Topics
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- amyloid-beta 42, cerebrospinal fluid
- MeSH terms
- Alzheimer Disease, Humans, Immunoassay, Peptide Fragments, Reference Standards, Reproducibility of Results, Biomarkers, Amyloid beta-Peptides, Luminescence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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