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

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
Articolo gratuito.

Si connetta per beneficiarne

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.

Il testo completo di questo articolo è disponibile in PDF.

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


Mappa


 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.. Pubblicato da Elsevier Masson SAS. Tutti i diritti riservati.
Aggiungere alla mia biblioteca Togliere dalla mia biblioteca Stampare
Esportazione

    Citazioni Export

  • File

  • Contenuto

Vol 11 - N° 1

P. 185-195 - Gennaio 2024 Ritorno al numero
Articolo precedente Articolo precedente
  • 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
| Articolo seguente Articolo seguente
  • Alzheimer’s Disease and Aging Association: Identification and Validation of Related Genes
  • T. Liu, K. Hou, J. Li, T. Han, S. Liu, Jianshe Wei

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.

Il mio account


Dichiarazione CNIL

EM-CONSULTE.COM è registrato presso la CNIL, dichiarazione n. 1286925.

Ai sensi della legge n. 78-17 del 6 gennaio 1978 sull'informatica, sui file e sulle libertà, Lei puo' esercitare i diritti di opposizione (art.26 della legge), di accesso (art.34 a 38 Legge), e di rettifica (art.36 della legge) per i dati che La riguardano. Lei puo' cosi chiedere che siano rettificati, compeltati, chiariti, aggiornati o cancellati i suoi dati personali inesati, incompleti, equivoci, obsoleti o la cui raccolta o di uso o di conservazione sono vietati.
Le informazioni relative ai visitatori del nostro sito, compresa la loro identità, sono confidenziali.
Il responsabile del sito si impegna sull'onore a rispettare le condizioni legali di confidenzialità applicabili in Francia e a non divulgare tali informazioni a terzi.


Tutto il contenuto di questo sito: Copyright © 2024 Elsevier, i suoi licenziatari e contributori. Tutti i diritti sono riservati. Inclusi diritti per estrazione di testo e di dati, addestramento dell’intelligenza artificiale, e tecnologie simili. Per tutto il contenuto ‘open access’ sono applicati i termini della licenza Creative Commons.