Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets - 21/11/24

Doi : 10.14283/jpad.2023.100 
Y. Salimi 1, 2, 3, , D. Domingo-Fernández 1, M. Hofmann-Apitius 1, 2, C. Birkenbihl 1, 2, 3,

the Alzheimer’s Disease Neuroimaging Initiative

the Japanese Alzheimer’s Disease Neuroimaging Initiative

the Alzheimer’s Disease Repository Without Borders Investigators

the European Prevention of Alzheimer’s Disease (EPAD) Consortium

1 Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53757, Sankt Augustin, Germany 
2 Bonn-Aachen International Center for IT, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115, Bonn, Germany 
3 Schloß Birlinghoven, 53757, Sankt Augustin, Germany 

d colin.birkenbihl@scai.fraunhofer.de colin.birkenbihl@scai.fraunhofer.de a yasamin.salimi@scai.fraunhofer.de yasamin.salimi@scai.fraunhofer.de

Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.

Connectez-vous pour en bénéficier!

Abstract

Background

While the amyloid/tau/neurodegeneration (ATN) framework has found wide application in Alzheimer’s disease research, it is unclear if thresholds obtained using distinct thresholding methods are concordant within the same dataset and interchangeable across cohorts.

Objectives

To investigate the robustness of data-driven thresholding methods and ATN profiling across cohort datasets.

Design and Setting

We evaluated the impact of thresholding methods on ATN profiles by applying five commonly-used methodologies across cohort datasets. We assessed the generalizability of disease patterns discovered within ATN profiles by clustering individuals from different cohorts who were assigned to the same ATN profile.

Participants and Measurements

Participants with available CSF amyloid-β 1–42, phosphorylated tau, and total tau measurements were included from eleven AD cohort studies.

Results

We observed high variability among obtained ATN thresholds, both across methods and datasets that impacted the resulting profile assignments of participants significantly. Clustering participants from different cohorts within the same ATN category indicated that identified disease patterns were comparable across most cohorts and biases introduced through distinct thresholding and data representations remained insignificant in most ATN profiles.

Conlusion

Thresholding method selection is a decision of statistical relevance that will inevitably bias the resulting profiling and affect its sensitivity and specificity. Thresholds are likely not directly interchangeable between independent cohorts. To apply the ATN framework as an actionable and robust profiling scheme, a comprehensive understanding of the impact of used thresholding methods, their statistical implications, and a validation of results is crucial.

Le texte complet de cet article est disponible en PDF.

Key words : ATN framework, biomarker profiles, CSF thresholds, Alzheimer’s disease, cohort studies


Plan


 Alzheimer’s Disease Neuroimaging Initiative: Data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at ADNI_Acknowledgement_List.pdf
Japanese Alzheimer’s Disease Neuroimaging Initiative: Data used in preparation of this article were obtained from the Japanese Alzheimer’s Disease Neuroimaging Initiative (J-ADNI) database deposited in the National Bioscience Database Center Human Database, Japan (Research ID: hum0043. v1, 2016). As such, the investigators within J-ADNI contributed to the design and implementation of J-ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of J-ADNI investigators can be found at: hum0043-j-adni-authors.
Data used in preparation of this article were obtained from the Alzheimer’s Disease Repository Without Borders (ARWiBo) database (www.arwibo.it). As such, the researchers within the ARWiBo contributed to the design and implementation of ARWiBo and/or provided data but did not participate in analysis or writing of this report. A complete listing of ARWiBo researchers can be found in the Acknowledgments.
Data used in preparation of this article were obtained from the Longitudinal Cohort Study (LCS), delivered by the European Prevention of Alzheimer’s Disease (EPAD) Consortium. As such investigators within the EPAD LCS and EPAD Consortium contributed to the design and implementation of EPAD and/or provided data but did not participate in analysis or writing of this report. A complete list of EPAD Investigators can be found at: 202010_List-of-epadistas.pdf
Consent Statement: All investigated cohort studies acquired ethical approval from their respective review boards, adhered to the Helsinki declaration, and retrieved informed consent from their participants for data collection and sharing. The publication guidelines of each individual cohort study were followed and the manuscript was submitted and approved by all data owners that requested manuscript clearing.


© 2023  THE AUTHORS. Published by Elsevier Masson SAS on behalf of SERDI Publisher.. Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 11 - N° 1

P. 185-195 - janvier 2024 Retour au numéro
Article précédent Article précédent
  • Projected Savings to Canadian Provincial Budgets from Reduced Long-Term Care Home Utilization Due to a Disease-Modifying Alzheimer’s Treatment
  • H. Jun, Z. Shi, Soeren Mattke
| Article suivant Article suivant
  • Alzheimer’s Disease and Aging Association: Identification and Validation of Related Genes
  • T. Liu, K. Hou, J. Li, T. Han, S. Liu, Jianshe Wei

Bienvenue sur EM-consulte, la référence des professionnels de santé.

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.