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Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics

Research output: Contribution to journalArticle

  • Annapaola Prestia
  • Anna Caroli
  • Sara Wade
  • Wiesje M van der Flier
  • Rik Ossenkoppele
  • Bart van Berckel
  • Frederik Barkhof
  • Charlotte E. Teunissen
  • Anders Wall
  • Stephen F. Carter
  • Michael Schoell
  • Il Han Choo
  • Agneta Nordberg
  • Philip Scheltens
  • Giovanni B. Frisoni

Related Edinburgh Organisations

Original languageEnglish
Pages (from-to)1191-1201
JournalAlzheimer's & Dementia
Volume11
Issue number10
Early online date31 Jan 2015
DOIs
Publication statusPublished - Oct 2015

Abstract

Introduction
Proposed diagnostic criteria (international working group and National Institute on Aging and Alzheimer's Association) for Alzheimer's disease (AD) include markers of amyloidosis (abnormal cerebrospinal fluid [CSF] amyloid beta [Aβ]42) and neurodegeneration (hippocampal atrophy, temporo-parietal hypometabolism on [18F]-fluorodeoxyglucose-positron emission tomography (FDG-PET), and abnormal CSF tau). We aim to compare the accuracy of these biomarkers, individually and in combination, in predicting AD among mild cognitive impairment (MCI) patients.

Methods
In 73 MCI patients, followed to ascertain AD progression, markers were measured. Sensitivity and specificity, positive (LR+) and negative (LR−) likelihood ratios, and crude and adjusted hazard ratios were computed.

Results
Twenty-nine MCI patients progressed and 44 remained stable. Positivity to any marker achieved the lowest LR− (0.0), whereas the combination Aβ42 plus FDG-PET achieved the highest LR+ (6.45). In a survival analysis, positivity to any marker was associated with 100% conversion rate, whereas negativity to all markers was associated with 100% stability.

Discussion
The best criteria combined amyloidosis and neurodegeneration biomarkers, whereas the individual biomarker with the best performance was FDG-PET.

ID: 80254511