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Diagnosis of Alzheimer’s disease using plasma biomarkers adjusted to clinical probability

  • Joseph Therriault,
  • Shorena Janelidze,
  • Andréa Lessa Benedet,
  • Nicholas J. Ashton,
  • Javier Arranz Martínez,
  • Armand Gonzalez-Escalante,
  • Bruna Bellaver,
  • Daniel Alcolea,
  • Agathe Vrillon,
  • Helmet Karim,
  • Michelle M. Mielke,
  • Chang Hyung Hong,
  • Hyun Woong Roh,
  • José Contador,
  • Albert Puig Pijoan,
  • Alicia Algeciras-Schimnich,
  • Prashanthi Vemuri,
  • Jonathan Graff-Radford,
  • Val J. Lowe,
  • Thomas K. Karikari,
  • Erin Jonaitis,
  • Wagner Brum,
  • Cécile Tissot,
  • Stijn Servaes,
  • Nesrine Rahmouni,
  • Arthur C. Macedo,
  • Jenna Stevenson,
  • Jaime Fernandez-Arias,
  • Yi-Ting Wang,
  • Marcel S. Woo,
  • Manuel A. Friese,
  • Wan Lu Jia,
  • Julien Dumurgier,
  • Claire Hourregue,
  • Emmanuel Cognat,
  • Pamela Lukasewicz Ferreira,
  • Paolo Vitali,
  • Sterling Johnson,
  • Tharick A. Pascoal,
  • Serge Gauthier,
  • Alberto Lleó,
  • Claire Paquet,
  • Ronald C. Petersen,
  • David Salmon,
  • Niklas Mattsson-Carlgren,
  • Sebastian Palmqvist,
  • Erik Stomrud,
  • Douglas Galasko,
  • Sang Joon Son,
  • Henrik Zetterberg,
  • Juan Fortea,
  • Marc Suárez-Calvet,
  • Clifford R. Jack Jr,
  • Kaj Blennow,
  • Oskar Hansson,
  • Pedro Rosa-Neto

摘要

Recently approved anti-amyloid immunotherapies for Alzheimer’s disease (AD) require evidence of amyloid-β pathology from positron emission tomography (PET) or cerebrospinal fluid (CSF) before initiating treatment. Blood-based biomarkers promise to reduce the need for PET or CSF testing; however, their interpretation at the individual level and the circumstances requiring confirmatory testing are poorly understood. Individual-level interpretation of diagnostic test results requires knowledge of disease prevalence in relation to clinical presentation (clinical pretest probability). Here, in a study of 6,896 individuals evaluated from 11 cohort studies from six countries, we determined the positive and negative predictive value of five plasma biomarkers for amyloid-β pathology in cognitively impaired individuals in relation to clinical pretest probability. We observed that p-tau217 could rule in amyloid-β pathology in individuals with probable AD dementia (positive predictive value above 95%). In mild cognitive impairment, p-tau217 interpretation depended on patient age. Negative p-tau217 results could rule out amyloid-β pathology in individuals with non-AD dementia syndromes (negative predictive value between 90% and 99%). Our findings provide a framework for the individual-level interpretation of plasma biomarkers, suggesting that p-tau217 combined with clinical phenotyping can identify patients where amyloid-β pathology can be ruled in or out without the need for PET or CSF confirmatory testing.