Search: WFRF:(Cognat E)
> (2022) >
A Pragmatic, Data-D...
A Pragmatic, Data-Driven Method to Determine Cutoffs for CSF Biomarkers of Alzheimer Disease Based on Validation Against PET Imaging
-
Dumurgier, J. (author)
-
Sabia, S. (author)
-
- Zetterberg, Henrik, 1973 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
-
show more...
-
Teunissen, C. E. (author)
-
Hanseeuw, B. (author)
-
Orellana, A. (author)
-
Schraen, S. (author)
-
Gabelle, A. (author)
-
Boada, M. (author)
-
Lebouvier, T. (author)
-
Willemse, E. A. J. (author)
-
Cognat, E. (author)
-
Ruiz, A. (author)
-
Hourregue, C. (author)
-
Lilamand, M. (author)
-
Bouaziz-Amar, E. (author)
-
Laplanche, J. L. (author)
-
Lehmann, S. (author)
-
Pasquier, F. (author)
-
Scheltens, P. (author)
-
- Blennow, Kaj, 1958 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
-
Singh-Manoux, A. (author)
-
Paquet, C. (author)
-
show less...
-
(creator_code:org_t)
- 2022-05-26
- 2022
- English.
-
In: Neurology. - : Ovid Technologies (Wolters Kluwer Health). - 0028-3878 .- 1526-632X. ; 99:7
- Related links:
-
https://gup.ub.gu.se...
-
show more...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- Background and Objectives To elaborate a new algorithm to establish a standardized method to define cutoffs for CSF biomarkers of Alzheimer disease (AD) by validating the algorithm against CSF classification derived from PET imaging. Methods Low and high levels of CSF phosphorylated tau were first identified to establish optimal cutoffs for CSF beta-amyloid (A beta) peptide biomarkers. These A beta cutoffs were then used to determine cutoffs for CSF tau and phosphorylated tau markers. We compared this algorithm to a reference method, based on tau and amyloid PET imaging status (ADNI study), and then applied the algorithm to 10 large clinical cohorts of patients. Results A total of 6,922 patients with CSF biomarker data were included (mean [SD] age: 70.6 [8.5] years, 51.0% women). In the ADNI study population (n = 497), the agreement between classification based on our algorithm and the one based on amyloid/tau PET imaging was high, with Cohen's kappa coefficient between 0.87 and 0.99. Applying the algorithm to 10 large cohorts of patients (n = 6,425), the proportion of persons with AD ranged from 25.9% to 43.5%. Discussion The proposed novel, pragmatic method to determine CSF biomarker cutoffs for AD does not require assessment of other biomarkers or assumptions concerning the clinical diagnosis of patients. Use of this standardized algorithm is likely to reduce heterogeneity in AD classification.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Neurosciences (hsv//eng)
Keyword
- cerebrospinal-fluid biomarkers
- national institute
- association
- workgroups
- diagnostic guidelines
- amyloid-pet
- cut-points
- tau
- recommendations
- variability
- dementia
- Neurosciences & Neurology
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
-
Neurology
(Search for host publication in LIBRIS)
To the university's database
- By the author/editor
-
Dumurgier, J.
-
Sabia, S.
-
Zetterberg, Henr ...
-
Teunissen, C. E.
-
Hanseeuw, B.
-
Orellana, A.
-
show more...
-
Schraen, S.
-
Gabelle, A.
-
Boada, M.
-
Lebouvier, T.
-
Willemse, E. A. ...
-
Cognat, E.
-
Ruiz, A.
-
Hourregue, C.
-
Lilamand, M.
-
Bouaziz-Amar, E.
-
Laplanche, J. L.
-
Lehmann, S.
-
Pasquier, F.
-
Scheltens, P.
-
Blennow, Kaj, 19 ...
-
Singh-Manoux, A.
-
Paquet, C.
-
show less...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
-
MEDICAL AND HEAL ...
-
and Basic Medicine
-
and Neurosciences
- Articles in the publication
-
Neurology
- By the university
-
University of Gothenburg