Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring (Jan 2023)

Discriminative accuracy of the A/T/N scheme to identify cognitive impairment due to Alzheimer's disease

  • Tharick A. Pascoal,
  • Antoine Leuzy,
  • Joseph Therriault,
  • Mira Chamoun,
  • Firoza Lussier,
  • Cecile Tissot,
  • Olof Strandberg,
  • Sebastian Palmqvist,
  • Erik Stomrud,
  • Pamela C. L. Ferreira,
  • João Pedro Ferrari‐Souza,
  • Ruben Smith,
  • Andrea Lessa Benedet,
  • Serge Gauthier,
  • Oskar Hansson,
  • Pedro Rosa‐Neto

DOI
https://doi.org/10.1002/dad2.12390
Journal volume & issue
Vol. 15, no. 1
pp. n/a – n/a

Abstract

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Abstract Introduction The optimal combination of amyloid‐β/tau/neurodegeneration (A/T/N) biomarker profiles for the diagnosis of Alzheimer's disease (AD) dementia is unclear. Methods We examined the discriminative accuracy of A/T/N combinations assessed with neuroimaging biomarkers for the differentiation of AD from cognitively unimpaired (CU) elderly and non‐AD neurodegenerative diseases in the TRIAD, BioFINDER‐1 and BioFINDER‐2 cohorts (total n = 832) using area under the receiver operating characteristic curves (AUC). Results For the diagnosis of AD dementia (vs. CU elderly), T biomarkers performed as well as the complete A/T/N system (AUC range: 0.90–0.99). A and T biomarkers in isolation performed as well as the complete A/T/N system in differentiating AD dementia from non‐AD neurodegenerative diseases (AUC range; A biomarker: 0.84–1; T biomarker: 0.83–1). Discussion In diagnostic settings, the use of A or T neuroimaging biomarkers alone can reduce patient burden and medical costs compared with using their combination, without significantly compromising accuracy.

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