Title :

A Pragmatic, Data-Driven Method to Determine Cutoffs for CSF Biomarkers of Alzheimer Disease Based on Validation Against PET Imaging.

Author(s) :

Dumurgier, J. [Auteur]
Sabia, S. [Auteur]
Zetterberg, H. [Auteur]
Teunissen, C. E. [Auteur]
Hanseeuw, B. [Auteur]
Orellana, A. [Auteur]
Schraen, Susanna [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Gabelle, A. [Auteur]
Boada, M. [Auteur]
Lebouvier, Thibaud [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Willemse, E. A. J. [Auteur]
Cognat, E. [Auteur]
Ruiz, A. [Auteur]
Hourregue, C. [Auteur]
Lilamand, M. [Auteur]
Bouaziz-Amar, E. [Auteur]
Laplanche, J. L. [Auteur]
Lehmann, S. [Auteur]
Pasquier, Florence [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Scheltens, P. [Auteur]
Blennow, K. [Auteur]
Singh-Manoux, A. [Auteur]
Paquet, C. [Auteur]

Journal title :

Neurology

Volume number :

99

Pages :

e669-e678

Publisher :

American Academy of Neurology

Publication date :

2022-08-16

ISSN :

1526-632X

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

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 ...
Show more >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 β-amyloid (Aβ) peptide biomarkers. These Aβ 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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Submission date :

2024-01-16T00:54:57Z
2024-11-06T11:06:19Z